Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
14 Dec 2021
Review article |
| 14 Dec 2021
| 14 Dec 2021
Estimating population and urban areas at risk of coastal hazards, 1990–2015: how data choices matter
Kytt MacManus
CORRESPONDING AUTHOR
CIESIN, Columbia University, Palisades, New York, USA
Deborah Balk
CUNY Institute for Demographic Research (CIDR), City University of
New York, New York, New York, USA
Marxe School of Public and International Affairs, Baruch College, City University of New York, New York, New York, USA
Hasim Engin
CIESIN, Columbia University, Palisades, New York, USA
CUNY Institute for Demographic Research (CIDR), City University of
New York, New York, New York, USA
Gordon McGranahan
independent researcher
Rya Inman
Department of Geographical Sciences, University of Maryland, College Park, Maryland, USA
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The potential degradation of mainstream global fire products leads to large uncertainty in the effective monitoring of wildfires and their influence. To fill this gap, we produced a Fengyun-3D (FY-3D) global active fire product with a similar spatial and temporal resolution to MODIS fire products, aiming to serve as continuity and a replacement for MODIS fire products. The FY-3D fire product is an ideal tool for global fire monitoring and can be preferably employed for fire monitoring in China.
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Philipp Richter, Mathias Palm, Christine Weinzierl, Hannes Griesche, Penny M. Rowe, and Justus Notholt
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We present a dataset of cloud optical depths, effective radii and water paths from optically thin clouds observed in the Arctic around Svalbard. The data have been retrieved from infrared spectral radiance measured using a Fourier-transform infrared (FTIR) spectrometer. Besides a description of the measurements and retrieval technique, the data are put into context with results of corresponding measurements from microwave radiometer, lidar and cloud radar.
Jianglei Xu, Shunlin Liang, and Bo Jiang
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Land surface all-wave net radiation (Rn) is a key parameter in many land processes. Current products have drawbacks of coarse resolutions, large uncertainty, and short time spans. A deep learning method was used to obtain global surface Rn. A long-term Rn product was generated from 1981 to 2019 using AVHRR data. The product has the highest accuracy and a reasonable spatiotemporal variation compared to three other products. Our product will play an important role in long-term climate change.
Verónica González-Gambau, Estrella Olmedo, Antonio Turiel, Cristina González-Haro, Aina García-Espriu, Justino Martínez, Pekka Alenius, Laura Tuomi, Rafael Catany, Manuel Arias, Carolina Gabarró, Nina Hoareau, Marta Umbert, Roberto Sabia, and Diego Fernández
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We present the first Soil Moisture and Ocean Salinity Sea Surface Salinity (SSS) dedicated products over the Baltic Sea (ESA Baltic+ Salinity Dynamics). The Baltic+ L3 product covers 9 days in a 0.25° grid. The Baltic+ L4 is derived by merging L3 SSS with sea surface temperature information, giving a daily product in a 0.05° grid. The accuracy of L3 is 0.7–0.8 and 0.4 psu for the L4. Baltic+ products have shown to be useful, covering spatiotemporal data gaps and for validating numerical models.
Chunlüe Zhou, Cesar Azorin-Molina, Erik Engström, Lorenzo Minola, Lennart Wern, Sverker Hellström, Jessika Lönn, and Deliang Chen
Earth Syst. Sci. Data, 14, 2167–2177, https://doi.org/10.5194/essd-14-2167-2022, https://doi.org/10.5194/essd-14-2167-2022, 2022
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To fill the key gap of short availability and inhomogeneity of wind speed (WS) in Sweden, we rescued the early paper records of WS since 1925 and built the first 10-member centennial homogenized WS dataset (HomogWS-se) for community use. An initial WS stilling and recovery before the 1990s was observed, and a strong link with North Atlantic Oscillation was found. HomogWS-se improves our knowledge of uncertainty and causes of historical WS changes.
Wenjun Tang, Jun Qin, Kun Yang, Yaozhi Jiang, and Weihao Pan
Earth Syst. Sci. Data, 14, 2007–2019, https://doi.org/10.5194/essd-14-2007-2022, https://doi.org/10.5194/essd-14-2007-2022, 2022
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Photosynthetically active radiation (PAR) is a fundamental physiological variable for research in the ecological, agricultural, and global change fields. In this study, we produced a 35-year high-resolution global gridded PAR dataset. Compared with the well-known global satellite-based PAR product of the Earth's Radiant Energy System (CERES), our PAR product was found to be a more accurate dataset with higher resolution.
Wenbin Sun, Yang Yang, Liya Chao, Wenjie Dong, Boyin Huang, Phil Jones, and Qingxiang Li
Earth Syst. Sci. Data, 14, 1677–1693, https://doi.org/10.5194/essd-14-1677-2022, https://doi.org/10.5194/essd-14-1677-2022, 2022
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The new China global Merged Surface Temperature CMST 2.0 is the updated version of CMST-Interim used in the IPCC's AR6. The updated dataset is described in this study, containing three versions: CMST2.0 – Nrec, CMST2.0 – Imax, and CMST2.0 – Imin. The reconstructed datasets significantly improve data coverage, especially in the high latitudes in the Northern Hemisphere, thus increasing the long-term trends at global, hemispheric, and regional scales since 1850.
Rohaifa Khaldi, Domingo Alcaraz-Segura, Emilio Guirado, Yassir Benhammou, Abdellatif El Afia, Francisco Herrera, and Siham Tabik
Earth Syst. Sci. Data, 14, 1377–1411, https://doi.org/10.5194/essd-14-1377-2022, https://doi.org/10.5194/essd-14-1377-2022, 2022
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This dataset with millions of 22-year time series for seven spectral bands was built by merging Terra and Aqua satellite data and annotated for 29 LULC classes by spatial–temporal agreement across 15 global LULC products. The mean F1 score was 96 % at the coarsest classification level and 87 % at the finest one. The dataset is born to develop and evaluate machine learning models to perform global LULC mapping given the disagreement between current global LULC products.
Chuanmin Hu
Earth Syst. Sci. Data, 14, 1183–1192, https://doi.org/10.5194/essd-14-1183-2022, https://doi.org/10.5194/essd-14-1183-2022, 2022
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Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) between 2010–2014, hyperspectral reflectance of various floating matters in global oceans and lakes is derived for the spectral range of 400–800 nm. Such reflectance spectra are expected to provide spectral endmembers to differentiate and quantify the floating matters from existing multi-band satellite sensors and future hyperspectral satellite missions such as NASA’s PACE, SBG, and GLIMR missions.
Tobias K. D. Weber, Joachim Ingwersen, Petra Högy, Arne Poyda, Hans-Dieter Wizemann, Michael Scott Demyan, Kristina Bohm, Ravshan Eshonkulov, Sebastian Gayler, Pascal Kremer, Moritz Laub, Yvonne Funkiun Nkwain, Christian Troost, Irene Witte, Tim Reichenau, Thomas Berger, Georg Cadisch, Torsten Müller, Andreas Fangmeier, Volker Wulfmeyer, and Thilo Streck
Earth Syst. Sci. Data, 14, 1153–1181, https://doi.org/10.5194/essd-14-1153-2022, https://doi.org/10.5194/essd-14-1153-2022, 2022
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Presented are measurement results from six agricultural fields operated by local farmers in southwestern Germany over 9 years. Six eddy-covariance stations measuring water, energy, and carbon fluxes between the vegetated soil surface and the atmosphere provided the backbone of the measurement sites and were supplemented by extensive soil and vegetation state monitoring. The dataset is ideal for testing process models characterizing fluxes at the vegetated soil surface and in the atmosphere.
Runmei Ma, Jie Ban, Qing Wang, Yayi Zhang, Yang Yang, Shenshen Li, Wenjiao Shi, Zhen Zhou, Jiawei Zang, and Tiantian Li
Earth Syst. Sci. Data, 14, 943–954, https://doi.org/10.5194/essd-14-943-2022, https://doi.org/10.5194/essd-14-943-2022, 2022
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We constructed multi-variable random forest models based on 10-fold cross-validation and estimated daily PM2.5 and O3 concentration of China in 2005–2017 at a resolution of 1 km. The daily R2 values of PM2.5 and O3 were 0.85 and 0.77. The meteorological variables can significantly affect both PM2.5 and O3 modeling. During 2005–2017, PM2.5 exhibited an overall downward trend, while O3 experienced the opposite. The temporal trend of PM2.5 and O3 had spatial characteristics during the study period.
Guta Wakbulcho Abeshu, Hong-Yi Li, Zhenduo Zhu, Zeli Tan, and L. Ruby Leung
Earth Syst. Sci. Data, 14, 929–942, https://doi.org/10.5194/essd-14-929-2022, https://doi.org/10.5194/essd-14-929-2022, 2022
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Existing riverbed sediment particle size data are sparsely available at individual sites. We develop a continuous map of median riverbed sediment particle size over the contiguous US corresponding to millions of river segments based on the existing observations and machine learning methods. This map is useful for research in large-scale river sediment using model- and data-driven approaches, teaching environmental and earth system sciences, planning and managing floodplain zones, etc.
Anna M. Ukkola, Gab Abramowitz, and Martin G. De Kauwe
Earth Syst. Sci. Data, 14, 449–461, https://doi.org/10.5194/essd-14-449-2022, https://doi.org/10.5194/essd-14-449-2022, 2022
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Flux towers provide measurements of water, energy, and carbon fluxes. Flux tower data are invaluable in improving and evaluating land models but are not suited to modelling applications as published. Here we present flux tower data tailored for land modelling, encompassing 170 sites globally. Our dataset resolves several key limitations hindering the use of flux tower data in land modelling, including incomplete forcing variable, data format, and low data quality.
Hui Tao, Kaishan Song, Ge Liu, Qiang Wang, Zhidan Wen, Pierre-Andre Jacinthe, Xiaofeng Xu, Jia Du, Yingxin Shang, Sijia Li, Zongming Wang, Lili Lyu, Junbin Hou, Xiang Wang, Dong Liu, Kun Shi, Baohua Zhang, and Hongtao Duan
Earth Syst. Sci. Data, 14, 79–94, https://doi.org/10.5194/essd-14-79-2022, https://doi.org/10.5194/essd-14-79-2022, 2022
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During 1984–2018, lakes in the Tibetan-Qinghai Plateau had the clearest water (mean 3.32 ± 0.38 m), while those in the northeastern region had the lowest Secchi disk depth (SDD) (mean 0.60 ± 0.09 m). Among the 10 814 lakes with > 10 years of SDD results, 55.4 % and 3.5 % experienced significantly increasing and decreasing trends of SDD, respectively. With the exception of Inner Mongolia–Xinjiang, more than half of lakes in all the other regions exhibited a significant trend of increasing SDD.
Jiao Lu, Guojie Wang, Tiexi Chen, Shijie Li, Daniel Fiifi Tawia Hagan, Giri Kattel, Jian Peng, Tong Jiang, and Buda Su
Earth Syst. Sci. Data, 13, 5879–5898, https://doi.org/10.5194/essd-13-5879-2021, https://doi.org/10.5194/essd-13-5879-2021, 2021
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This study has combined three existing land evaporation (ET) products to obtain a single framework of a long-term (1980–2017) daily ET product at a spatial resolution of 0.25° to define the global proxy ET with lower uncertainties. The merged product is the best at capturing dynamics over different locations and times among all data sets. The merged product performed well over a range of vegetation cover scenarios and also captured the trend of land evaporation over different areas well.
Yanhua Xie, Holly K. Gibbs, and Tyler J. Lark
Earth Syst. Sci. Data, 13, 5689–5710, https://doi.org/10.5194/essd-13-5689-2021, https://doi.org/10.5194/essd-13-5689-2021, 2021
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We created 30 m resolution annual irrigation maps covering the conterminous US for the period of 1997–2017, together with derivative products and ground reference data. The products have several improvements over other data, including field-level details of change and frequency, an annual time step, a collection of ~ 10 000 ground reference locations for the eastern US, and improved mapping accuracy of over 90 %, especially in the east compared to others of 50 % to 80 %.
Holger Virro, Giuseppe Amatulli, Alexander Kmoch, Longzhu Shen, and Evelyn Uuemaa
Earth Syst. Sci. Data, 13, 5483–5507, https://doi.org/10.5194/essd-13-5483-2021, https://doi.org/10.5194/essd-13-5483-2021, 2021
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Water quality modeling is essential for understanding and mitigating water quality deterioration in river networks due to agricultural and industrial pollution. Improving the availability and usability of open data is vital to support global water quality modeling efforts. The GRQA extends the spatial and temporal coverage of previously available water quality data and provides a reproducible workflow for combining multi-source water quality datasets.
Bowen Cao, Le Yu, Xuecao Li, Min Chen, Xia Li, Pengyu Hao, and Peng Gong
Earth Syst. Sci. Data, 13, 5403–5421, https://doi.org/10.5194/essd-13-5403-2021, https://doi.org/10.5194/essd-13-5403-2021, 2021
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In the study, the first 1 km global cropland proportion dataset for 10 000 BCE–2100 CE was produced through the harmonization and downscaling framework. The mapping result coincides well with widely used datasets at present. With improved spatial resolution, our maps can better capture the cropland distribution details and spatial heterogeneity. The dataset will be valuable for long-term simulations and precise analyses. The framework can be extended to specific regions or other land use types.
Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu
Earth Syst. Sci. Data, 13, 5087–5114, https://doi.org/10.5194/essd-13-5087-2021, https://doi.org/10.5194/essd-13-5087-2021, 2021
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Large portions of the Earth's surface are expected to experience changes in climatic conditions. The rearrangement of climate distributions can lead to serious impacts on ecological and social systems. Major climate zones are distributed in a predictable pattern and are largely defined following the Köppen climate classification. This creates an urgent need to compile a series of Köppen climate classification maps with finer spatial and temporal resolutions and improved accuracy.
Amanda R. Fay, Luke Gregor, Peter Landschützer, Galen A. McKinley, Nicolas Gruber, Marion Gehlen, Yosuke Iida, Goulven G. Laruelle, Christian Rödenbeck, Alizée Roobaert, and Jiye Zeng
Earth Syst. Sci. Data, 13, 4693–4710, https://doi.org/10.5194/essd-13-4693-2021, https://doi.org/10.5194/essd-13-4693-2021, 2021
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The movement of carbon dioxide from the atmosphere to the ocean is estimated using surface ocean carbon (pCO2) measurements and an equation including variables such as temperature and wind speed; the choices of these variables lead to uncertainties. We introduce the SeaFlux ensemble which provides carbon flux maps calculated in a consistent manner, thus reducing uncertainty by using common choices for wind speed and a set definition of "global" coverage.
Samuel J. Tomlinson, Edward J. Carnell, Anthony J. Dore, and Ulrike Dragosits
Earth Syst. Sci. Data, 13, 4677–4692, https://doi.org/10.5194/essd-13-4677-2021, https://doi.org/10.5194/essd-13-4677-2021, 2021
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Nitrogen (N) may impact the environment in many ways, and estimation of its deposition to the terrestrial surface is of interest. N deposition data have not been generated at a high resolution (1 km × 1 km) over a long time series in the UK before now. This study concludes that N deposition has reduced by ~ 40 % from 1990. The impact of these results allows analysis of environmental impacts at a high spatial and temporal resolution, using a consistent methodology and consistent set of input data.
Joaquín Muñoz-Sabater, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego G. Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut
Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, https://doi.org/10.5194/essd-13-4349-2021, 2021
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The creation of ERA5-Land responds to a growing number of applications requiring global land datasets at a resolution higher than traditionally reached. ERA5-Land provides operational, global, and hourly key variables of the water and energy cycles over land surfaces, at 9 km resolution, from 1981 until the present. This work provides evidence of an overall improvement of the water cycle compared to previous reanalyses, whereas the energy cycle variables perform as well as those of ERA5.
Yan Chen, Shunlin Liang, Han Ma, Bing Li, Tao He, and Qian Wang
Earth Syst. Sci. Data, 13, 4241–4261, https://doi.org/10.5194/essd-13-4241-2021, https://doi.org/10.5194/essd-13-4241-2021, 2021
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This study used remotely sensed and assimilated data to estimate all-sky land surface air temperature (Ta) using a machine learning method, and developed an all-sky 1 km daily mean land Ta product for 2003–2019 over mainland China. Validation results demonstrated that this dataset has achieved satisfactory accuracy and high spatial resolution simultaneously, which fills the current dataset gap in this field and plays an important role in studies of climate change and the hydrological cycle.
Guoqing Zhang, Youhua Ran, Wei Wan, Wei Luo, Wenfeng Chen, Fenglin Xu, and Xin Li
Earth Syst. Sci. Data, 13, 3951–3966, https://doi.org/10.5194/essd-13-3951-2021, https://doi.org/10.5194/essd-13-3951-2021, 2021
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Lakes can be effective indicators of climate change, especially over the Qinghai–Tibet Plateau. Here, we provide the most comprehensive lake mapping covering the past 100 years. The new features of this data set are (1) its temporal length, providing the longest period of lake observations from maps, (2) the data set provides a state-of-the-art lake inventory for the Landsat era (from the 1970s to 2020), and (3) it provides the densest lake observations for lakes with areas larger than 1 km2.
Jie Yang and Xin Huang
Earth Syst. Sci. Data, 13, 3907–3925, https://doi.org/10.5194/essd-13-3907-2021, https://doi.org/10.5194/essd-13-3907-2021, 2021
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We produce the 30 m annual China land cover dataset (CLCD), with an accuracy reaching 79.31 %. Trends and patterns of land cover changes during 1985 and 2019 were revealed, such as expansion of impervious surface (+148.71 %) and water (+18.39 %), decrease in cropland (−4.85 %) and increase in forest (+4.34 %). The CLCD generally reflected the rapid urbanization and a series of ecological projects in China and revealed the anthropogenic implications on LC under the condition of climate change.
Richard Porter-Smith, John McKinlay, Alexander D. Fraser, and Robert A. Massom
Earth Syst. Sci. Data, 13, 3103–3114, https://doi.org/10.5194/essd-13-3103-2021, https://doi.org/10.5194/essd-13-3103-2021, 2021
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This study quantifies the characteristic complexity
signaturesaround the Antarctic outer coastal margin, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline. It has numerous applications for both geophysical and biological studies and will contribute to Antarctic research requiring quantitative information about this important interface.
Gonçalo Vieira, Carla Mora, Pedro Pina, Ricardo Ramalho, and Rui Fernandes
Earth Syst. Sci. Data, 13, 3179–3201, https://doi.org/10.5194/essd-13-3179-2021, https://doi.org/10.5194/essd-13-3179-2021, 2021
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Fogo in Cabo Verde is one of the most active ocean island volcanoes on Earth, posing important hazards to local populations and at a regional level. The last eruption occurred from November 2014 to February 2015. A survey of the Chã das Caldeiras area was conducted using a fixed-wing unmanned aerial vehicle. A point cloud, digital surface model and orthomosaic with 10 and 25 cm resolutions are provided, together with the full aerial survey projects and datasets.
Clara Betancourt, Timo Stomberg, Ribana Roscher, Martin G. Schultz, and Scarlet Stadtler
Earth Syst. Sci. Data, 13, 3013–3033, https://doi.org/10.5194/essd-13-3013-2021, https://doi.org/10.5194/essd-13-3013-2021, 2021
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With the AQ-Bench dataset, we contribute to shared data usage and machine learning methods in the field of environmental science. The AQ-Bench dataset contains air quality data and metadata from more than 5500 air quality observation stations all over the world. The dataset offers a low-threshold entrance to machine learning on a real-world environmental dataset. AQ-Bench thus provides a blueprint for environmental benchmark datasets.
Christof Lorenz, Tanja C. Portele, Patrick Laux, and Harald Kunstmann
Earth Syst. Sci. Data, 13, 2701–2722, https://doi.org/10.5194/essd-13-2701-2021, https://doi.org/10.5194/essd-13-2701-2021, 2021
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Semi-arid regions depend on the freshwater resources from the rainy seasons as they are crucial for ensuring security for drinking water, food and electricity. Thus, forecasting the conditions for the next season is crucial for proactive water management. We hence present a seasonal forecast product for four semi-arid domains in Iran, Brazil, Sudan/Ethiopia and Ecuador/Peru. It provides a benchmark for seasonal forecasts and, finally, a crucial contribution for improved disaster preparedness.
Ana Maria Roxana Petrescu, Chunjing Qiu, Philippe Ciais, Rona L. Thompson, Philippe Peylin, Matthew J. McGrath, Efisio Solazzo, Greet Janssens-Maenhout, Francesco N. Tubiello, Peter Bergamaschi, Dominik Brunner, Glen P. Peters, Lena Höglund-Isaksson, Pierre Regnier, Ronny Lauerwald, David Bastviken, Aki Tsuruta, Wilfried Winiwarter, Prabir K. Patra, Matthias Kuhnert, Gabriel D. Oreggioni, Monica Crippa, Marielle Saunois, Lucia Perugini, Tiina Markkanen, Tuula Aalto, Christine D. Groot Zwaaftink, Hanqin Tian, Yuanzhi Yao, Chris Wilson, Giulia Conchedda, Dirk Günther, Adrian Leip, Pete Smith, Jean-Matthieu Haussaire, Antti Leppänen, Alistair J. Manning, Joe McNorton, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2307–2362, https://doi.org/10.5194/essd-13-2307-2021, https://doi.org/10.5194/essd-13-2307-2021, 2021
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This study is topical and provides a state-of-the-art scientific overview of data availability from bottom-up and top-down CH4 and N2O emissions in the EU27 and UK. The data integrate recent emission inventories with process-based model data and regional/global inversions for the European domain, aiming at reconciling them with official country-level UNFCCC national GHG inventories in support to policy and to facilitate real-time verification procedures.
Ana Maria Roxana Petrescu, Matthew J. McGrath, Robbie M. Andrew, Philippe Peylin, Glen P. Peters, Philippe Ciais, Gregoire Broquet, Francesco N. Tubiello, Christoph Gerbig, Julia Pongratz, Greet Janssens-Maenhout, Giacomo Grassi, Gert-Jan Nabuurs, Pierre Regnier, Ronny Lauerwald, Matthias Kuhnert, Juraj Balkovič, Mart-Jan Schelhaas, Hugo A. C. Denier van der
Gon, Efisio Solazzo, Chunjing Qiu, Roberto Pilli, Igor B. Konovalov, Richard A. Houghton, Dirk Günther, Lucia Perugini, Monica Crippa, Raphael Ganzenmüller, Ingrid T. Luijkx, Pete Smith, Saqr Munassar, Rona L. Thompson, Giulia Conchedda, Guillaume Monteil, Marko Scholze, Ute Karstens, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2363–2406, https://doi.org/10.5194/essd-13-2363-2021, https://doi.org/10.5194/essd-13-2363-2021, 2021
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This study is topical and provides a state-of-the-art scientific overview of data availability from bottom-up and top-down CO2 fossil emissions and CO2 land fluxes in the EU27+UK. The data integrate recent emission inventories with ecosystem data, land carbon models and regional/global inversions for the European domain, aiming at reconciling CO2 estimates with official country-level UNFCCC national GHG inventories in support to policy and facilitating real-time verification procedures.
Lilu Sun and Yunfei Fu
Earth Syst. Sci. Data, 13, 2293–2306, https://doi.org/10.5194/essd-13-2293-2021, https://doi.org/10.5194/essd-13-2293-2021, 2021
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Multi-source dataset use is hampered by use of different spatial and temporal resolutions. We merged Tropical Rainfall Measuring Mission precipitation radar and visible and infrared scanner measurements with ERA5 reanalysis. The statistical results indicate this process has no unacceptable influence on the original data. The merged dataset can help in studying characteristics of and changes in cloud and precipitation systems and provides an opportunity for data analysis and model simulations.
Yongyong Fu, Jinsong Deng, Hongquan Wang, Alexis Comber, Wu Yang, Wenqiang Wu, Shixue You, Yi Lin, and Ke Wang
Earth Syst. Sci. Data, 13, 1829–1842, https://doi.org/10.5194/essd-13-1829-2021, https://doi.org/10.5194/essd-13-1829-2021, 2021
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Marine aquaculture areas in a region up to 30 km from the coast in China were mapped for the first time. It was found to cover a total area of ~1100 km2, of which more than 85 % is marine plant culture areas, with 87 % found in four coastal provinces. The results confirm the applicability and effectiveness of deep learning when applied to GF-1 data at the national scale, identifying the detailed spatial distributions and supporting the sustainable management of coastal resources in China.
Sebastian Weinert, Kristian Bär, and Ingo Sass
Earth Syst. Sci. Data, 13, 1441–1459, https://doi.org/10.5194/essd-13-1441-2021, https://doi.org/10.5194/essd-13-1441-2021, 2021
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Physical rock properties are a key element for resource exploration, the interpretation of results from geophysical methods or the parameterization of physical or geological models. Despite the need for physical rock properties, data are still very scarce and often not available for the area of interest. The database presented aims to provide easy access to physical rock properties measured at 224 locations in Bavaria, Hessen, Rhineland-Palatinate and Thuringia (Germany).
Claire E. Simpson, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith
Earth Syst. Sci. Data, 13, 1135–1150, https://doi.org/10.5194/essd-13-1135-2021, https://doi.org/10.5194/essd-13-1135-2021, 2021
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Sonar depth point measurements collected at 17 lakes on the Arctic Coastal Plain of Alaska are used to train and validate models to map lake bathymetry. These models predict depth from remotely sensed lake color and are able to explain 58.5–97.6 % of depth variability. To calculate water volumes, we integrate this modeled bathymetry with lake surface area. Knowledge of Alaskan lake bathymetries and volumes is crucial to better understanding water storage, energy balance, and ecological habitat.
Fei Feng and Kaicun Wang
Earth Syst. Sci. Data, 13, 907–922, https://doi.org/10.5194/essd-13-907-2021, https://doi.org/10.5194/essd-13-907-2021, 2021
Els Knaeps, Sindy Sterckx, Gert Strackx, Johan Mijnendonckx, Mehrdad Moshtaghi, Shungudzemwoyo P. Garaba, and Dieter Meire
Earth Syst. Sci. Data, 13, 713–730, https://doi.org/10.5194/essd-13-713-2021, https://doi.org/10.5194/essd-13-713-2021, 2021
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This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of plastic litter samples. The plastic litter samples include virgin and real samples. They were measured in dry conditions, and a selection of the samples were also measured in wet conditions and submerged in a water tank. The dataset can be used to better understand the effect of water absorption on the plastics and develop algorithms to detect and characterize marine plastics.
Susannah Rennie, Klaus Goergen, Christoph Wohner, Sander Apweiler, Johannes Peterseil, and John Watkins
Earth Syst. Sci. Data, 13, 631–644, https://doi.org/10.5194/essd-13-631-2021, https://doi.org/10.5194/essd-13-631-2021, 2021
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This paper describes a pan-European climate service data product intended for ecological researchers. Access to regional climate scenario data will save ecologists time, and, for many, it will allow them to work with data resources that they will not previously have used due to a lack of knowledge and skills to access them. Providing easy access to climate scenario data in this way enhances long-term ecological research, for example in general regional climate change or impact assessments.
Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders
Earth Syst. Sci. Data, 13, 357–366, https://doi.org/10.5194/essd-13-357-2021, https://doi.org/10.5194/essd-13-357-2021, 2021
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Flight data have been used widely for research by academic researchers and (supra)national institutions. Example domains range from epidemiology (e.g. examining the spread of COVID-19 via air travel) to economics (e.g. use as proxy for immediate forecasting of the state of a country's economy) and Earth sciences (climatology in particular). Until now, accurate flight data have been available only in small pieces from closed, proprietary sources. This work changes this with a crowdsourced effort.
Jinshi Jian, Rodrigo Vargas, Kristina Anderson-Teixeira, Emma Stell, Valentine Herrmann, Mercedes Horn, Nazar Kholod, Jason Manzon, Rebecca Marchesi, Darlin Paredes, and Ben Bond-Lamberty
Earth Syst. Sci. Data, 13, 255–267, https://doi.org/10.5194/essd-13-255-2021, https://doi.org/10.5194/essd-13-255-2021, 2021
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Field soil-to-atmosphere CO2 flux (soil respiration, Rs) observations were compiled into a global database (SRDB) a decade ago. Here, we restructured and updated the database to the fifth version, SRDB-V5, with data published through 2017 included. SRDB-V5 aims to be a data framework for the scientific community to share seasonal to annual field Rs measurements, and it provides opportunities for the scientific community to better understand the spatial and temporal variability of Rs.
Robert A. Rohde and Zeke Hausfather
Earth Syst. Sci. Data, 12, 3469–3479, https://doi.org/10.5194/essd-12-3469-2020, https://doi.org/10.5194/essd-12-3469-2020, 2020
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A global land and ocean temperature record was created by combining the Berkeley Earth monthly land temperature field with a newly interpolated version of the HadSST3 ocean dataset. The resulting dataset covers the period from 1850 to present.
This paper describes the methods used to create that combination and compares the results to other estimates of global temperature and the associated recent climate change, giving similar results.
Igor Savin, Valery Mironov, Konstantin Muzalevskiy, Sergey Fomin, Andrey Karavayskiy, Zdenek Ruzicka, and Yuriy Lukin
Earth Syst. Sci. Data, 12, 3481–3487, https://doi.org/10.5194/essd-12-3481-2020, https://doi.org/10.5194/essd-12-3481-2020, 2020
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This article presents a dielectric database of organic Arctic soils. This database was created based on dielectric measurements of seven samples of organic soils collected in various parts of the Arctic tundra. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, https://doi.org/10.5194/essd-12-3269-2020, 2020
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The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Jin Ma, Ji Zhou, Frank-Michael Göttsche, Shunlin Liang, Shaofei Wang, and Mingsong Li
Earth Syst. Sci. Data, 12, 3247–3268, https://doi.org/10.5194/essd-12-3247-2020, https://doi.org/10.5194/essd-12-3247-2020, 2020
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Land surface temperature is an important parameter in the research of climate change and many land surface processes. This article describes the development and testing of an algorithm for generating a consistent global long-term land surface temperature product from 20 years of NOAA AVHRR radiance data. The preliminary validation results indicate good accuracy of this new long-term product, which has been designed to simplify applications and support the scientific research community.
Clara Lázaro, Maria Joana Fernandes, Telmo Vieira, and Eliana Vieira
Earth Syst. Sci. Data, 12, 3205–3228, https://doi.org/10.5194/essd-12-3205-2020, https://doi.org/10.5194/essd-12-3205-2020, 2020
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In satellite altimetry (SA), the wet tropospheric correction (WTC) accounts for the path delay induced mainly by atmospheric water vapour. In coastal regions, the accuracy of the WTC determined by the on-board radiometer deteriorates. The GPD+ methodology, developed by the University of Porto in the remit of ESA-funded projects, computes improved WTCs for SA. Global enhanced products are generated for all past and operational altimetric missions, forming a relevant dataset for coastal altimetry.
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
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The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Cited articles
Ahmed, F., Moors, E., Khan, M. S. A., Warner, J., and Terwisscha van
Scheltinga, C.: Tipping points in adaptation to urban flooding under climate
change and urban growth: The case of the Dhaka megacity, Land Use Policy,
79, 496–506, https://doi.org/10.1016/j.landusepol.2018.05.051, 2018.
Anderson, T. R., Fletcher, C. H., Barbee, M. M., Romine, B. M., Lemmo, S.,
and Delevaux, J. M. S.: Modeling multiple sea level rise stresses reveals up
to twice the land at risk compared to strictly passive flooding methods, Sci.
Rep., 8, 14484, https://doi.org/10.1038/s41598-018-32658-x, 2018.
Archila Bustos, M. F., Hall, O., Niedomysl, T., and Ernstson, U.: A pixel
level evaluation of five multitemporal global gridded population datasets: a
case study in Sweden, 1990–2015, Popul. Environ., 42,
255–277, https://doi.org/10.1007/s11111-020-00360-8, 2020.
Arns, A., Wahl, T., Wolff, C., Vafeidis, A. T., Haigh, I. D., Woodworth, P.,
Niehüser, S., and Jensen, J.: Non-linear interaction modulates global
extreme sea levels, coastal flood exposure, and impacts, Nat. Commun., 11,
1918, https://doi.org/10.1038/s41467-020-15752-5,
2020.
Bai, Z., Wang, J., Wang, M., Gao, M., and Sun, J.: Accuracy Assessment of
Multi-Source Gridded Population Distribution Datasets in China,
Sustainability, 10, 1363, https://doi.org/10.3390/su10051363, 2018.
Balk, D.: More than a name: why is global urban population mapping a grumpy
proposition?, in: Global Mapping of Human Settlement: Experiences, Data
Sets, and Prospects, edited by: Gamba, P. and Herold, M., Taylor and Francis, London, UK,
7, 145–161, 2009.
Balk, D., Pozzi, F., Yetman, G., Deichmann, U., and Nelson, A.: The
distribution of people and the dimension of place: methodologies to improve
the global estimation of urban extents, in: International Society for
Photogrammetry and Remote Sensing, Proceedings of the Urban Remote Sensing
Conference, 14–16, 2005.
Balk, D., Montgomery, M., McGranahan, G., and Todd, M.: Understanding the
impacts of climate change: Linking satellite and other spatial data with
population data, Population dynamics and climate change, 206, 206–217, 2009.
Balk, D., Leyk, S., Jones, B., Montgomery, M. R., and Clark, A.:
Understanding urbanisation: A study of census and satellite-derived urban
classes in the United States, 1990–2010, PLoS One, 13, e0208487, https://doi.org/10.1371/journal.pone.0208487, 2018.
Bates, P. D., Dawson, R. J., Hall, J. W., Horritt, M. S., Nicholls, R. J.,
Wicks, J., and Mohamed Ahmed Ali Mohamed Hassan: Simplified two-dimensional
numerical modelling of coastal flooding and example applications, Coast.
Eng., 52, 793–810, https://doi.org/10.1016/j.coastaleng.2005.06.001, 2005.
Bhardwaj, A.: Assessment of Vertical Accuracy for TanDEM-X 90 m DEMs in
Plain, Moderate, and Rugged Terrain, Multidisciplinary Digitial Publishing
Institute Proceedings, 24, 8, https://doi.org/10.3390/IECG2019-06208, 2019.
Bright, E. A. and Coleman, P. R.: LandScan 2000 [data set], available at: https://landscan.ornl.gov/ (last access: 1 November 2021), 2001.
Bright, E. A., Rose, A. N., and Urban, M. L.: LandScan 2015 [data
set], available at: https://landscan.ornl.gov (last access: 1 November 2021), 2016.
Buettner, T.: Urban Estimates and Projections at the United Nations: The
Strengths, Weaknesses, and Underpinnings of the World Urbanisation
Prospects, Spat. Demogr., 3, 91–108, https://doi.org/10.1007/s40980-015-0004-2, 2015.
Calka, B. and Bielecka, E.: GHS-POP Accuracy Assessment: Poland and Portugal
Case Study, Remote Sens., 12, 1105, https://doi.org/10.3390/rs12071105, 2020.
CIESIN: Low Elevation Coastal Zone (LECZ) Urban-Rural
Population and Land Area Estimates, Version 2, Center for International Earth Science and Information Network – CIESIN – Columbia University [data set], https://doi.org/10.7927/H4MW2F2J, 2013.
CIESIN: Gridded Population of the World, Version 4 (GPWv4),
Data Quality Indicators, Revision 11, Center for International Earth Science Information Network – CIESIN – Columbia University, NASA Socioeconomic Data and Applications Center (SEDAC), Palisades, NY, USA [data set], https://doi.org/10.7927/H42Z13KG, 2018a.
CIESIN: Gridded Population of the World, Version 4 (GPWv4), Land and Water Area, Revision 11, Center for International Earth Science Information Network – CIESIN – Columbia University, NASA
Socioeconomic Data and Applications Center (SEDAC), Palisades, NY, USA [data set], https://doi.org/10.7927/H4Z60M4Z, 2018b.
CIESIN: Gridded Population of the World, Version 4 (GPWv4),
National Identifier Grid, Revision 11, Center for International Earth Science Information Network – CIESIN – Columbia University [data set], https://doi.org/10.7927/H4TD9VDP, 2018c.
CIESIN: Gridded Population of the World, Version 4 (GPWv4),
Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals,
Revision 11, Center for International Earth Science Information Network – CIESIN – Columbia University [data set], https://doi.org/10.7927/H4PN93PB, 2018d.
CIESIN and Novel-T: GRID3 Mozambique Settlement Extents Version 02, Columbia University, Source of building footprints “Digitize Africa data © 2020 Maxar Technologies”, Ecopia.AI, Alpha, Center for International Earth Science Information Network (CIESIN) [data set], https://doi.org/10.7916/D8-37SA-GY34, 2020.
CIESIN and CIDR: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center for International Earth Science Information Network – CIESIN – Columbia University, and CUNY Institute for Demographic Research – CIDR – City University of New York, NASA Socioeconomic Data and Applications Center (SEDAC), Palisades, NY, USA [data set], https://doi.org/10.7927/d1x1-d702, 2021.
CIESIN, IFPRI, The World Bank, and CIAT: Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extents Grid, Center for International Earth Science Information Network – CIESIN – Columbia University International Food Policy Research Institute – IFPRI, The World Bank, and Centro Internacional de Agricultura Tropical – CIAT [data set], https://doi.org/10.7927/np6p-qe61, 2021.
Champion, A. G. and Hugo, G. (Eds.): New forms of urbanisation: beyond the
urban-rural dichotomy, Ashgate, Aldershot, Hants, England; Burlington, VT,
420 pp., https://doi.org/10.4324/9781315248073, 2004.
Chen, R., Yan, H., Liu, F., Du, W., and Yang, Y.: Multiple Global Population
Datasets: Differences and Spatial Distribution Characteristics, ISPRS Int. J. Geo-Inf., 9, 637, https://doi.org/10.3390/ijgi9110637, 2020.
Cohen, B.: Urban Growth in Developing Countries: A Review of Current Trends
and a Caution Regarding Existing Forecasts, World Development, 32,
23–51, https://doi.org/10.1016/j.worlddev.2003.04.008, 2004.
Colenbrander, S., Lazar, L., Haddaoui, C., and Godfrey, N.: Climate
Emergency, Urban Opportunity: The unique and crucial roles of national
governments, available at: https://urbantransitions.global/wp-content/uploads/2019/09/Climate-Emergency-Urban-Opportunity-report.pdf (last access: 1 November 2021), 2019.
Corbane, C., Florczyk, A., Pesaresi, M., Politis, P., and Syrris, V.: GHS
built-up grid, derived from Landsat, multitemporal (1975–1990–2000–2014),
R2018A [data set], https://doi.org/10.2905/JRC-GHSL-10007, 2018.
Corbane, C., Pesaresi, M., Kemper, T., Politis, P., Florczyk, A. J., Syrris,
V., Melchiorri, M., Sabo, F., and Soille, P.: Automated global delineation
of human settlements from 40 years of Landsat satellite data archives, Big
Earth Data, 3, 140–169, https://doi.org/10.1080/20964471.2019.1625528, 2019.
Corbau, C., Simeoni, U., Zoccarato, C., Mantovani, G., and Teatini, P.: Coupling land use evolution and subsidence in the Po Delta, Italy: Revising the past occurrence and prospecting the future management challenges, Sci. Total Environ., 654, 1196–1208, https://doi.org/10.1016/j.scitotenv.2018.11.104, 2019.
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., and Seto, K. C.:
Global typology of urban energy use and potentials for an urbanisation
mitigation wedge, P. Natl. Acad. Sci. USA, 112, 6283–6288, https://doi.org/10.1073/pnas.1315545112, 2015.
Da Costa, J. N., Bielecka, E., and Calka, B.: Uncertainty Quantification of
the Global Rural-Urban Mapping Project over Polish Census Data, in:
Environmental Engineering, Proceedings of the International Conference on
Environmental Engineering, ICEE, 1–7, https://doi.org/10.3846/enviro.2017.221, 2017.
Dannenberg, A. L., Frumkin, H., Hess, J. J., and Ebi, K. L.: Managed retreat
as a strategy for climate change adaptation in small communities: public
health implications, Climatic Change, 153, 1–14, https://doi.org/10.1007/s10584-019-02382-0, 2019.
De Dominicis, M., Wolf, J., Jevrejeva, S., Zheng, P., and Hu, Z.: Future
Interactions Between Sea Level Rise, Tides, and Storm Surges in the World's
Largest Urban Area, Geophys. Res. Lett., 47, e2020GL087002, https://doi.org/10.1029/2020GL087002, 2020.
Demuzere, M., Hankey, S., Mills, G., Zhang, W., Lu, T., and Bechtel, B.:
Combining expert and crowd-sourced training data to map urban form and
functions for the continental US, Sci. Data, 7, 264, https://doi.org/10.1038/s41597-020-00605-z, 2020.
De Sherbinin, A., Schiller, A., and Pulsipher, A.: The vulnerability of
global cities to climate hazards, Environ. Urban., 19, 39–64, 2007.
Dijkstra, L., Poelman, H., and Veneri, P.: The EU-OECD definition of a
functional urban area, OECD Regional Development Working Papers, https://doi.org/10.1787/d58cb34d-en, 2019.
Dijkstra, L., Florczyk, A. J., Freire, S., Kemper, T., Melchiorri, M.,
Pesaresi, M., and Schiavina, M.: Applying the Degree of Urbanisation to the
globe: A new harmonised definition reveals a different picture of global
urbanisation, J. Urban Econ., 125, 103312, https://doi.org/10.1016/j.jue.2020.103312, 2020.
Doll, C. N. H. and Pachauri, S.: Estimating rural populations without access
to electricity in developing countries through night-time light satellite
imagery, Energy Policy, 38, 5661–5670, https://doi.org/10.1016/j.enpol.2010.05.014, 2010.
Donaldson, D. and Storeygard, A.: The View from Above: Applications of
Satellite Data in Economics, J. Econ. Perspect., 30,
171–198, https://doi.org/10.1257/jep.30.4.171,
2016.
Dorélien, A., Balk, D., and Todd, M.: What Is Urban? Comparing a
Satellite View with the Demographic and Health Surveys, Popul.
Dev. Rev., 39, 413–439, https://doi.org/10.1111/j.1728-4457.2013.00610.x, 2013.
Doxsey-Whitfield, E., MacManus, K., Adamo, S. B., Pistolesi, L., Squires,
J., Borkovska, O., and Baptista, S. R.: Taking Advantage of the Improved
Availability of Census Data: A First Look at the Gridded Population of the
World, Version 4, Papers in Applied Geography, 1, 226–234, https://doi.org/10.1080/23754931.2015.1014272, 2015.
Du, J., Shen, J., Zhang, Y. J., Ye, F., Liu, Z., Wang, Z., Wang, Y. P., Yu,
X., Sisson, M., and Wang, H. V.: Tidal Response to Sea-Level Rise in
Different Types of Estuaries: The Importance of Length, Bathymetry, and
Geometry: Tidal Response to Sea-level Rise, Geophys. Res. Lett., 45,
227–235, https://doi.org/10.1002/2017GL075963,
2018.
Edmonds, D. A., Caldwell, R. L., Brondizio, E. S., and Siani, S. M. O.:
Coastal flooding will disproportionately impact people on river deltas, Nat.
Commun., 11, 4741, https://doi.org/10.1038/s41467-020-18531-4, 2020.
Elvidge, C., Ziskin, D., Baugh, K., Tuttle, B., Ghosh, T., Pack, D., Erwin,
E., and Zhizhin, M.: A Fifteen Year Record of Global Natural Gas Flaring
Derived from Satellite Data, Energies, 2, 595–622, https://doi.org/10.3390/en20300595, 2009.
Elvidge, C. D., Baugh, K. E., Dietz, J. B., Bland, T., Sutton, P. C., and
Kroehl, H. W.: Radiance Calibration of DMSP-OLS Low-Light Imaging Data of
Human Settlements, Remote Sens. Environ., 68, 77–88, https://doi.org/10.1016/S0034-4257(98)00098-4, 1999.
Erkens, G., Bucx, T., Dam, R., de Lange, G., and Lambert, J.: Sinking
coastal cities, Proc. IAHS, 372, 189–198, https://doi.org/10.5194/piahs-372-189-2015, 2015.
Esch, T., Taubenböck, H., Roth, A., Heldens, W., Felbier, A., Thiel, M.,
Schmidt, M., Müller, A., and Dech, S.: TanDEM-X mission—new
perspectives for the inventory and monitoring of global settlement patterns,
J. Appl. Remote Sens, 6, 061702, https://doi.org/10.1117/1.JRS.6.061702, 2012.
Esch, T., Marconcini, M., Felbier, A., Roth, A., Heldens, W., Huber, M.,
Schwinger, M., Taubenbock, H., Muller, A., and Dech, S.: Urban Footprint
Processor—Fully Automated Processing Chain Generating Settlement Masks
From Global Data of the TanDEM-X Mission, IEEE Geosci. Remote Sens. Lett.,
10, 1617–1621, https://doi.org/10.1109/LGRS.2013.2272953, 2013.
Esch, T., Wieke H., and Hirner, A.: The Global Urban Footprint, In Urban
Remote Sensing, CRC Press, 3–14, 2017.
Esch, T., Bachofer, F., Heldens, W., Hirner, A., Marconcini, M.,
Palacios-Lopez, D., Roth, A., Üreyen, S., Zeidler, J., Dech, S., and
Gorelick, N.: Where We Live – A Summary of the Achievements and Planned
Evolution of the Global Urban Footprint, Remote Sens., 10, 895, https://doi.org/10.3390/rs10060895, 2018.
Esch, T., Zeidler, J., Palacios-Lopez, D., Marconcini, M., Roth, A.,
Mönks, M., Leutner, B., Brzoska, E., Metz-Marconcini, A., Bachofer, F.,
Loekken, S., and Dech, S.: Towards a Large-Scale 3D Modeling of the Built
Environment – Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map
Data, Remote Sens., 12, 2391, https://doi.org/10.3390/rs12152391, 2020.
European Commission: Joint Research Centre.: GHSL data package 2019: public
release GHS P2019, Publications Office, LU, available at: https://data.europa.eu/doi/10.2760/290498 (last access: 1 November 2021), 2019.
Florczyk, A., Corban, C., Ehrlich, D., Carneiro Freire, S., Kemper, T., Maffenini, L., Melchiorri, M., Pesaresi, M., Politis, P., Schiavina, M., Sabo, F., and Zanchetta, L.: GHSL Data Package 2019, EUR 29788 EN, Publications Office of the European Union, Luxembourg, JRC117104, https://doi.org/10.2760/0726, 2019.
Freire, S., Doxsey-Whitfield, E., MacManus, K., Mills, J., and Pesaresi, M.:
Development of new open and free multi-temporal global population grids at
250 m resolution, Paper presented at the 19th AGILE Conference on Geographic
Information Science, Helsinki, Finland, 2016.
Gao, J. and O'Neill, B. C.: Mapping global urban land for the 21st century
with data-driven simulations and Shared Socioeconomic Pathways, Nat.
Commun., 11, 1–12, https://doi.org/10.1038/s41467-020-15788-7, 2020.
Gaughan, A. E., Stevens, F. R., Linard, C., Patel, N. N., and Tatem, A. J.:
Exploring nationally and regionally defined models for large area population
mapping, Int. J. Digit. Earth, 8, 989–1006, https://doi.org/10.1080/17538947.2014.965761, 2015.
Geisler, C. and Currens, B.: Impediments to inland resettlement under
conditions of accelerated sea level rise, Land Use Policy, 66,
322–330, https://doi.org/10.1016/j.landusepol.2017.03.029, 2017.
Gesch, D. B.: Best Practices for Elevation-Based Assessments of Sea-Level
Rise and Coastal Flooding Exposure, Front. Earth Sci., 6, 230, https://doi.org/10.3389/feart.2018.00230, 2018.
Ghosh, T., Sutton, P., Powell, R., Anderson, S., and Elvidge, C. D.:
Estimation of Mexico's informal economy using DMSP nighttime lights data,
in: 2009 Joint Urban Remote Sensing Event, 2009 Joint Urban Remote Sensing
Event, Shanghai, China, 1–10, https://doi.org/10.1109/URS.2009.5137751, 2009.
Haigh, I. D., Pickering, M. D., Green, J. A. M., Arbic, B. K., Arns, A.,
Dangendorf, S., Hill, D. F., Horsburgh, K., Howard, T., Idier, D., Jay, D.
A., Jänicke, L., Lee, S. B., Müller, M., Schindelegger, M., Talke,
S. A., Wilmes, S., and Woodworth, P. L.: The Tides They Are A-Changin': A
Comprehensive Review of Past and Future Nonastronomical Changes in Tides,
Their Driving Mechanisms, and Future Implications, Rev. Geophys.,
58, e2018RG000636, https://doi.org/10.1029/2018RG000636, 2020.
Hauer, M., Hardy, D., Kulp, S., Mueller, V., Wrathall, D., Clark, P., and
Oppenheimer, M.: A Framework for Classifying and Assessing Sea Level Rise
Risk, SocArXiv, https://doi.org/10.31235/osf.io/tf6rj, 2020a.
Hauer, M. E., Fussell, E., Mueller, V., Burkett, M., Call, M., Abel, K.,
McLeman, R., and Wrathall, D.: Sea-level rise and human migration, Nat. Rev.
Earth Environ., 1, 28–39, https://doi.org/10.1038/s43017-019-0002-9, 2020b.
Hawker, L., Neal, J., and Bates, P.: Accuracy assessment of the TanDEM-X 90
Digital Elevation Model for selected floodplain sites, Remote Sens.
Environ., 232, 111319, https://doi.org/10.1016/j.rse.2019.111319, 2019.
Henderson, J. V., Storeygard, A., and Weil, D. N.: Measuring Economic Growth
from Outer Space, Am. Econ. Rev., 102, 994–1028, https://doi.org/10.1257/aer.102.2.994, 2012.
Henderson, J., Liu, V., Peng, C., and Storeygard, A.: European Commission.
Demographic and health outcomes by degree of urbanisation: perspectives from
a new classification of urban areas., Directorate General for Regional and
Urban Policy Publications Office, available at: https://ec.europa.eu/regional_policy/sources/docgener/studies/pdf/demogr_health_urban_en.pdf (last access: 1 November 2021), 2020.
Herscher, R.: A Looming Disaster: New Data Reveal Where Flood Damage Is An
Existential Threat, available at: https://www.npr.org/2021/02/22/966428165/, last access: 1 November 2021.
Hinkel, J., Lincke, D., Vafeidis, A. T., Perrette, M., Nicholls, R. J., Tol,
R. S. J., Marzeion, B., Fettweis, X., Ionescu, C., and Levermann, A.:
Coastal flood damage and adaptation costs under 21st century sea-level rise,
P. Natl. Acad. Sci. USA, 111, 3292–3297, https://doi.org/10.1073/pnas.1222469111, 2014.
Hooijer, A. and Vernimmen, R.: Global LiDAR land elevation data reveal greatest
sea-level rise vulnerability in the tropics, Nat. Commun., 12, 3592, https://doi.org/10.1038/s41467-021-23810-9, 2021.
Hu, X., Qian, Y., Pickett, S. T., and Zhou, W.: Urban mapping needs
up-to-date approaches to provide diverse perspectives of current
urbanisation: A novel attempt to map urban areas with nighttime light data,
Landscape Urban Plan., 195, 103709, https://doi.org/10.1016/j.landurbplan.2019.103709, 2020.
Imhoff, M., Lawrence, W. T., Stutzer, D. C., and Elvidge, C. D.: A technique
for using composite DMSP/OLS “City Lights” satellite data to map urban
area, Remote Sens. Environ., 61, 361–370, https://doi.org/10.1016/S0034-4257(97)00046-1, 1997.
ISciences: TerraViva! SRTM30 Enhanced Global Map – Elevation/Slope/Aspect, Ann Arbor, Michigan, USA, 2003.
Kaneko, S. and Toyota, T.: Long-Term Urbanisation and Land Subsidence in M.
Taniguchi, editor, Asian Megacities: An Indicators System Approach.
Groundwater and Subsurface Environments: Human Impacts in Asian Coastal
Cities, 249–270, https://doi.org/10.1007/978-4-431-53904-9_13, 2011.
Khan, A., Chatterjee, S., Akbari, H., Bhatti, S. S., Dinda, A., Mitra, C.,
Hong, H., and Doan, Q. V.: Step-wise Land-class Elimination Approach for
extracting mixed-type built-up areas of Kolkata megacity, Geocarto
Int., 34, 504–527, https://doi.org/10.1080/10106049.2017.1408704, 2019.
Khan, S. A., MacManus, K., Mills, J., Madajewicz, M., and Ramasubramanian,
L.: Building Resilience of Urban Ecosystems and Communities to Sea-Level
Rise: Jamaica Bay, New York City, in: Handbook of Climate Change Resilience,
edited by: Leal Filho, W., Springer International Publishing, Cham, 95–115,
https://doi.org/10.1007/978-3-319-93336-8_29, 2020.
Kopp, R. E., Horton, B. P., Kemp, A. C., and Tebaldi, C.: Past and future
sea-level rise along the coast of North Carolina, USA, Climatic Change, 132,
693–707, https://doi.org/10.1007/s10584-015-1451-x, 2015.
Kulp, S. A. and Strauss, B. H.: CoastalDEM: A global coastal digital
elevation model improved from SRTM using a neural network, Remote Sens.
Environ., 206, 231–239, https://doi.org/10.1016/j.rse.2017.12.026, 2018.
Kulp, S. A. and Strauss, B. H.: New elevation data triple estimates of
global vulnerability to sea-level rise and coastal flooding, Nat. Commun., 10,
4844, https://doi.org/10.1038/s41467-019-12808-z,
2019.
Lewis, J.: Sea level rise: some implications for Tuvalu, Environmentalist,
9, 269–275, https://doi.org/10.1007/BF02241827, 1989.
Leyk, S., Uhl, J. H., Balk, D., and Jones, B.: Assessing the accuracy of
multi-temporal built-up land layers across rural-urban trajectories in the
United States, Remote Sens. Environ., 204, 898–917, https://doi.org/10.1016/j.rse.2017.08.035, 2018.
Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A., Balk, D., Freire,
S., Rose, A., Stevens, F. R., Blankespoor, B., Frye, C., Comenetz, J.,
Sorichetta, A., MacManus, K., Pistolesi, L., Levy, M., Tatem, A. J., and
Pesaresi, M.: The spatial allocation of population: a review of large-scale
gridded population data products and their fitness for use, Earth Syst. Sci.
Data, 11, 1385–1409, https://doi.org/10.5194/essd-11-1385-2019, 2019a.
Leyk, S., Balk, D., Jones, B., Montgomery, M. R., and Engin, H.: The
heterogeneity and change in the urban structure of metropolitan areas in the
United States, 1990–2010, Sci. Data, 6, 1–15, https://doi.org/10.1038/s41597-019-0329-6, 2019b.
Lichter, M., Vafeidis, A. T., and Nicholls, R. J.: Exploring Data-Related
Uncertainties in Analyses of Land Area and Population in the “Low-Elevation
Coastal Zone” (LECZ), J. Coast. Res., 27, 757–768, https://doi.org/10.2112/JCOASTRES-D-10-00072.1, 2010.
Liu, Z. and Balk, D.: Urbanisation and differential vulnerability to coastal
flooding among migrants and nonmigrants in Bangladesh, Population, Space
Place, 26, e2334, https://doi.org/10.1002/psp.2334, 2020.
Lloyd, C. T., Chamberlain, H., Kerr, D., Yetman, G., Pistolesi, L., Stevens,
F. R., Gaughan, A. E., Nieves, J. J., Hornby, G., MacManus, K., Sinha, P.,
Bondarenko, M., Sorichetta, A., and Tatem, A. J.: Global spatio-temporally
harmonised datasets for producing high-resolution gridded population
distribution datasets, Big Earth Data, 3, 108–139, https://doi.org/10.1080/20964471.2019.1625151, 2019.
MacManus, K. and Kugler, T. A.: The influence of statistical inputs on
global gridded geospatial datasets, available at: http://www.nsi.bg/efgs2013/data/uploads/presentations/DAY3_WS3_1_Presentation_MACMANUS_ok.pdf (last access: 1 November 2021), 2013.
Marconcini, M., Gorelick, N., Metz-Marconcini, A., and Esch, T.: Accurately
monitoring urbanisation at global scale – the world settlement footprint,
IOP Conf. Ser.-Earth Environ. Sci., 509, 012036, https://doi.org/10.1088/1755-1315/509/1/012036, 2020.
McDonald, R. I., Green, P., Balk, D., Fekete, B. M., Revenga, C., Todd, M.,
and Montgomery, M.: Urban growth, climate change, and freshwater
availability, P. Natl. Acad. Sci. USA, 108, 6312–6317, https://doi.org/10.1073/pnas.1011615108, 2011.
McGranahan, G., Balk, D., and Anderson, B.: The rising tide: assessing the
risks of climate change and human settlements in low
elevation coastal zones, Environ. Urban., 19, 17–37, https://doi.org/10.1177/0956247807076960, 2007a.
McGranahan, G., Balk, D., and Anderson, B.: Low Elevation Coastal Zone
(LECZ) Urban-Rural Population Estimates, Global Rural-Urban Mapping Project
(GRUMP), Alpha Version, https://doi.org/10.7927/H4TM782G, 2007b
McLeman, R.: Migration and displacement risks due to mean sea-level rise,
Bulletin for Atomic Scientists, 74, 148–154, https://doi.org/10.1080/00963402.2018.1461951, 2018.
Mcleod, E., Poulter, B., Hinkel, J., Reyes, E., and Salm, R.: Sea-level rise
impact models and environmental conservation: A review of models and their
applications, Ocean Coast. Manag., 53, 507–517, https://doi.org/10.1016/j.ocecoaman.2010.06.009, 2010a.
Mcleod, E., Hinkel, J., Vafeidis, A. T., Nicholls, R. J., Harvey, N., and
Salm, R.: Sea-level rise vulnerability in the countries of the Coral
Triangle, Sustain Sci., 5, 207–222, https://doi.org/10.1007/s11625-010-0105-1, 2010b.
McMichael, C., Dasgupta, S., Ayeb-Karlsson, S., and Kelman, I.: A review of
estimating population exposure to sea-level rise and the relevance for
migration, Environ. Res. Lett., 15, 123005, https://doi.org/10.1088/1748-9326/abb398, 2020.
Melchiorri, M., Florczyk, A. J., Freire, S., Schiavina, M., Pesaresi, M.,
and Kemper, T.: Unveiling 25 years of planetary urbanisation with remote
sensing: Perspectives from the global human settlement layer, Remote
Sens., 10, 768, https://doi.org/10.3390/rs10050768, 2018.
Menashe-Oren, A. and Bocquier, P.: Urbanisation is no longer driven by
migration in low-and middle-income countries (1985–2015), Popul.
Dev. Rev., 47, 639–663, https://doi.org/10.1111/padr.12407, 2021.
Mesev, V. (Ed.): LandScan: a global population database for estimating
populations at risk, in: Remotely-Sensed Cities, 1st edn., CRC Press,
301–314, https://doi.org/10.1201/9781482264678-24, 2003.
Minderhoud, P. S. J., Coumou, L., Erban, L. E., Middelkoop, H., Stouthamer,
E., and Addink, E. A.: The relation between land use and subsidence in the
Vietnamese Mekong delta, Sci. Total Environ., 634,
715–726, https://doi.org/10.1016/j.scitotenv.2018.03.372, 2018.
Minderhoud, P. S. J., Coumou, L., Erkens, G., Middelkoop, H., and
Stouthamer, E.: Mekong delta much lower than previously assumed in sea-level
rise impact assessments, Nat. Commun., 10, 3847, https://doi.org/10.1038/s41467-019-11602-1, 2019.
Misra, P., Avtar, R., and Takeuchi, W.: Comparison of Digital Building
Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface
Models over Yangon City, Remote Sens., 10, 2008, https://doi.org/10.3390/rs10122008, 2018.
Moftakhari, H. R., Salvadori, G., AghaKouchak, A., Sanders, B. F., and
Matthew, R. A.: Compounding effects of sea level rise and fluvial flooding,
P. Natl. Acad. Sci. USA, 114, 9785–9790, https://doi.org/10.1073/pnas.1620325114, 2017.
Mohanty, M. P. and Simonovic, S. P.: Understanding dynamics of population
flood exposure in Canada with multiple high-resolution population datasets,
Sci. Total Environ., 759, 143559, https://doi.org/10.1016/j.scitotenv.2020.143559, 2021.
Mondal, P. and Tatem, A. J.: Uncertainties in Measuring Populations
Potentially Impacted by Sea Level Rise and Coastal Flooding, PLoS ONE, 7,
e48191, https://doi.org/10.1371/journal.pone.0048191, 2012.
Muis, S., Apecechea, M. I., Dullaart, J., de Lima Rego, J., Madsen, K. S.,
Su, J., Yan, K., and Verlaan, M.: A High-Resolution Global Dataset of
Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections,
Front. Mar. Sci., 7, 263, https://doi.org/10.3389/fmars.2020.00263, 2020.
Neumann, B., Vafeidis, A. T., Zimmermann, J., and Nicholls, R. J.: Future
coastal population growth and exposure to sea-level rise and coastal
flooding-a global assessment, PLos one, 10, e0118571, https://doi.org/10.1371/journal.pone.0131375, 2015.
Nicholls, R. J.: Coastal Megacities and Climate Change, GeoJ., 37,
369–379, https://doi.org/10.1007/BF00814018, 1995.
Nicholls, R. J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A. T.,
Meyssignac, B., Hanson, S. E., Merkens, J.-L., and Fang, J.: A global
analysis of subsidence, relative sea-level change and coastal flood
exposure, Nat. Clim. Change, 11, 338–342, https://doi.org/10.1038/s41558-021-00993-z, 2021.
Nowak Da Costa, J., Bielecka, E., and Calka, B.: Uncertainty Quantification
of the Global Rural-Urban MappingProject over Polish Census Data, in:
Proceedings of 10th International Conference “Environmental Engineering,”
Environmental Engineering, Vilnius Gediminas Technical University,
Lithuania, https://doi.org/10.3846/enviro.2017.221, 2017.
OECD and European Commission: Cities in the World: A New Perspective on
Urbanisation, OECD, https://doi.org/10.1787/d0efcbda-en, 2020.
Oppenheimer, M., Glavovic, B., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., Deconto, R. M.., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level Rise and Implications for Low
Lying Islands, Coast. Commun., Supplement, available at: http://hdl.handle.net/11554/9280 (last access: 1 November 2021), 2019.
Orton, P., Talke, S., Jay, D., Yin, L., Blumberg, A., Georgas, N., Zhao, H.,
Roberts, H., and MacManus, K.: Channel Shallowing as Mitigation of Coastal
Flooding, Journal of Marine Science and Engineering, 3, 654–673, https://doi.org/10.3390/jmse3030654, 2015.
Orton, P. M., Conticello, F. R., Cioffi, F., Hall, T. M., Georgas, N., Lall,
U., Blumberg, A. F., and MacManus, K.: Flood hazard assessment from storm
tides, rain and sea level rise for a tidal river estuary, Nat. Hazards, 102,
729–757, https://doi.org/10.1007/s11069-018-3251-x, 2020.
Pesaresi, M., Ehrlich, D., Ferri, S., Florczyk, A., Carneiro Freire, S., Halkia, S., Julea, A. M., Kemper, T., Soille, P., and Syrris, V.: Operating
procedure for the production of the Global Human Settlement Layer from
Landsat data of the epochs 1975, 1990, 2000, and 2014, ISPRS Int. J. Geo-Inf,
1–62, https://doi.org/10.3390/ijgi8020096, 2016.
Pesaresi, M., Florczyk, A., Schiavina, M., Melchiorri, M., and Maffenini,
L.: GHS Settlement Grid, Updated and Refined REGIO Model 2014 in Application
to GHS-BUILT R2018A and GHS-POP R2019A, Multitemporal (1975–1990–2000–2015)
R2019A [data set],
https://doi.org/10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218, 2019.
Pesaresi, M., Corbane, C., Ren, C., and Edward, N.: Generalized Vertical
Components of built-up areas from global Digital Elevation Models by
multi-scale linear regression modelling, PLoS One, 16, e0244478, https://doi.org/10.1371/journal.pone.0244478, 2021.
Pickering, M. D., Horsburgh, K. J., Blundell, J. R., Hirschi, J. J.-M.,
Nicholls, R. J., Verlaan, M., and Wells, N. C.: The impact of future
sea-level rise on the global tides, Cont. Shelf Res., 142,
50–68, https://doi.org/10.1016/j.csr.2017.02.004,
2017.
Pinchoff, J., Mills, C. W., and Balk, D.: Urbanisation and health: The
effects of the built environment on chronic disease risk factors among women
in Tanzania, 15, e0241810, https://doi.org/10.1371/journal.pone.0241810, 2020.
Potere, D., Schneider, A., Angel, S., and Civco, D. L.: Mapping urban areas
on a global scale: which of the eight maps now available is more accurate?,
Int. J. Remote Sens., 30, 6531–6558, https://doi.org/10.1080/01431160903121134, 2009.
Reimann, L., Vafeidis, A. T., Brown, S., Hinkel, J., and Tol, R. S. J.:
Mediterranean UNESCO World Heritage at risk from coastal flooding and
erosion due to sea-level rise, Nat. Commun., 9, 4161, https://doi.org/10.1038/s41467-018-06645-9, 2018a.
Reimann, L., Merkens, J.-L., and Vafeidis, A. T.: Regionalized Shared
Socioeconomic Pathways: narratives and spatial population projections for
the Mediterranean coastal zone, Reg. Environ. Change, 18, 235–245,
https://doi.org/10.1007/s10113-017-1189-2, 2018b.
Rose, A. N. and Bright, E. A.: The LandScan Global Population Distribution
Project: current state of the art and prospective innovation, Paper
presented at the Population Association of America Annual Meeting, Boston
MA, USA, 2014.
Rossi, C. and Gernhardt, S.: Urban DEM generation, analysis and enhancements
using TanDEM-X, ISPRS J. Photogramm., 85,
120–131, https://doi.org/10.1016/j.isprsjprs.2013.08.006, 2013.
Schneider, A., Friedl, M. A., and Potere, D.: Mapping global urban areas
using MODIS 500-m data: New methods and datasets based on “urban
ecoregions”, Remote Sens. Environ., 114, 1733–1746, https://doi.org/10.1016/j.rse.2010.03.003, 2010.
Schumann, G. J.-P. and Bates, P. D.: The Need for a High-Accuracy,
Open-Access Global DEM, Front. Earth Sci., 6, 225, https://doi.org/10.3389/feart.2018.00225, 2018.
Small, C.: Spatiotemporal network evolution of anthropogenic night light 1992–2015, arXiv [preprint], arXiv:2005.12197, 25 May 2020.
Small, C. and CIESIN: VIIRS Plus DMSP Change in Lights
(VIIRS+DMSP dLIGHT), Center For International Earth Science Information
Network – CIESIN – Columbia University [data set], https://doi.org/10.7927/9RYJ-6467, 2020.
Small, C., Pozzi, F., and Elvidge, C.: Spatial analysis of global urban
extent from DMSP-OLS night lights, Remote Sens. Environ., 96,
277–291, https://doi.org/10.1016/j.rse.2005.02.002, 2005.
Small, C., Sousa, D., Yetman, G., Elvidge, C., and MacManus, K.: Decades of
urban growth and development on the Asian megadeltas, Glob. Planet.
Change, 165, 62–89, https://doi.org/10.1016/j.gloplacha.2018.03.005, 2018a.
Small, C., Okujeni, A., van der Linden, S., and Waske, B.: Remote Sensing of
Urban Environments, in: Comprehensive Remote Sensing, Elsevier,
96–127, https://doi.org/10.1016/B978-0-12-409548-9.10380-X, 2018b.
Solecki, W. and Friedman, E.: At the Water's Edge: Coastal Settlement,
Transformative Adaptation, and Well-Being in an Era of Dynamic Climate Risk,
Ann. Rev. Publ. Health, 42, 211–232, https://doi.org/10.1146/annurev-publhealth-090419-102302, 2021.
Solecki, W., Seto, K., Balk, D., Bigio, A., Boone, C., Creutzig, F., Fragkias, M., Lwasa, S., Marcotullio, P., Romero-Lankao, P., and Zwickel, T.: A conceptual framework for an urban areas typology to integrate climate change mitigation and adaptation, Urban Clim., 14, 116–137, https://doi.org/10.1016/j.uclim.2015.07.001, 2015.
Stokes, E. C. and Seto, K. C.: Characterizing urban infrastructural
transitions for the Sustainable Development Goals using multi-temporal land,
population, and nighttime light data, Remote Sens. Environ., 234,
111430, https://doi.org/10.1016/j.rse.2019.111430,
2019.
Strauss, B. H.: Flooded Future: Global Vulnerability to Sea Level Rise Worse
than Previously Understood, available at: https://www.climatecentral.org/news/report-flooded-future- global-vulnerability-to-sea-level-rise-worse-than-previously-understood (last access: 1 November 2021),
2019.
Strauss, B. H. and Kulp, S..: Sea-Level Rise Threats in the Caribbean,
Inter-American Development Bank, available at: https://sealevel.climatecentral.org/uploads/ssrf/Sea-level-rise-threats-in-the-Caribbean.pdf (last access: 1 November 2021),
2018.
Syvitski, J., Kettner, A., Overeem, I., Hutton, E., Hannon, M., Brakenridge, G. R., Day, J., Vörösmarty, C., Saito, Y., Giosan, L., and Nicholls, R.: Sinking deltas due to human
activities, Nat. Geosci., 2, 681–686, https://doi.org/10.1038/ngeo629, 2009.
Tacoli, C.: Rural-urban interactions: a guide to the literature, Environ.
Urban., 10, 147–166,
1998.
Tadono, T., Ishida, H., Oda, F., Naito, S., Minakawa, K., and Iwamoto, H.:
Precise Global DEM Generation by ALOS PRISM, ISPRS Ann. Photogramm. Remote
Sens. Spatial Inf. Sci. II, 4, 71–76, https://doi.org/10.5194/isprsannals-II-4-71-2014, 2014.
Taherkhani, M., Vitousek, S., Barnard, P. L., Frazer, N., Anderson, T. R.,
and Fletcher, C. H.: Sea-level rise exponentially increases coastal flood
frequency, Sci. Rep., 10, 6466, https://doi.org/10.1038/s41598-020-62188-4, 2020.
Taupo, T. and Noy, I.: Disaster Impact on Households in Tuvalu, available at:
https://www.nzae.org.nz/wpcontent/uploads/2016/10/Tauisi-Taupo.pdf (last access: 1 November 2021), 2016.
Taupo, T., Cuffe, H., and Noy, I.: Household vulnerability on the frontline
of climate change: the Pacific atoll nation of Tuvalu, Environ. Econ. Policy
Stud., 20, 705–739, https://doi.org/10.1007/s10018-018-0212-2, 2018.
Tebaldi, C., Strauss, B. H., and Zervas, C. E.: Modelling sea level rise
impacts on storm surges along US coasts, Environ. Res. Lett., 7,
014032, https://doi.org/10.1088/1748-9326/7/1/014032, 2012.
Tellman, B., Sullivan, J., Kuhn, C., Kettner, A., Doyle, C., Brakenridge,
G., Erikson, T., and Slayback, D.: Satellite observations indicate
increasing proportion of population exposed to floods, Nature, 596, 80–86,
https://doi.org/10.1038/s41586-021-03695-w, 2021.
Tessler, Z. D., Vörösmarty, C. J., Grossberg, M., Gladkova, I.,
Aizenman, H., Syvitski, J. P., and Foufoula-Georgiou, E.: Profiling risk and
sustainability in coastal deltas of the world, Science, 349, 638–643,
https://doi.org/10.1126/science.aab3574, 2015.
Tong, L., Hu, S., and Frazier, A. E.: Mixed accuracy of nighttime lights
(NTL)-based urban land identification using thresholds: Evidence from a
hierarchical analysis in Wuhan Metropolis, China, Appl. Geogr., 98,
201–214, https://doi.org/10.1016/j.apgeog.2018.07.017, 2018.
Uchiyama, Y. and Mori, K.: Methods for specifying spatial boundaries of
cities in the world: The impacts of delineation methods on city
sustainability indices, Sci. Total Environ., 592, 345–356, https://doi.org/10.1016/j.scitotenv.2017.03.014, 2017.
United Nations: Principles and Recommendations for Population and Housing
Censuses, United Nations Population Division, DESA, New York, USA, available at: https://unstats.un.org/unsd/demographic-social/Standards-and-Methods/files/Principles_and_Recommendations/Population-and-Housing-Censuses/Series_M67rev3-E.pdf (last access: 1 November 2021), 2014.
United Nations: World Urbanisation Prospects, United Nations
Population Division, DESA, New York, USA, available at: https://population.un.org/wup/ (last access: 1 November 2021), 2018.
United Nations: United Nations Expert Group Meeting on Statistical Methodology for Delineating Cities and Rural Areas, 28–30 January 2019, New York, USA, available at: https://unstats.un.org/unsd/demographic-social/meetings/2019/newyork-egm-statmeth.cshtml (last access: 1 November 2021), 2019.
United Nations: A recommendation on the method to delineate cities, urban and
rural areas for international statistical comparisons, New York, USA, available at: https://ec.europa.eu/eurostat/cros/content/recommendation-method-delineate-cities-urban-and-rural-areas-international-statistical-comparisons_en (last access: 1 November 2021), 2020.
Uuemaa, E., Ahi, S., Montibeller, B., Muru, M., and Kmoch, A.: Vertical Accuracy
of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT,
TanDEM-X, SRTM, and NASADEM), Remote Sens., 12, 3482,. https://doi.org/10.3390/rs12213482, 2020.
Vafeidis, A. T., Schuerch, M., Wolff, C., Spencer, T., Merkens, J. L.,
Hinkel, J., Lincke, D., Brown, S., and Nicholls, R. J.: Water-level
attenuation in global-scale assessments of exposure to coastal flooding: a
sensitivity analysis, Nat. Hazards Earth Syst. Sci., 19, 973–984, https://doi.org/10.5194/nhess-19-973-2019, 2019.
Wentz, E., Anderson, S., Fragkias, M., Netzband, M., Mesev, V., Myint, S.,
Quattrochi, D., Rahman, A., and Seto, K.: Supporting Global Environmental
Change Research: A Review of Trends and Knowledge Gaps in Urban Remote
Sensing, Remote Sens., 6, 3879–3905, https://doi.org/10.3390/rs6053879, 2014.
Wessel, B., Huber, M., Wohlfart, C., Marschalk, U., Kosmann, D., and Roth,
A.: Accuracy assessment of the global TanDEM-X Digital Elevation Model with
GPS data, ISPRS J. Photogramm., 139,
171–182, https://doi.org/10.1016/j.isprsjprs.2018.02.017, 2018.
Yamano, H., Kayanne, H., Yamaguchi, T., Kuwahara, Y., Yokoki, H., Shimazaki,
H., and Chikamori, M.: Atoll island vulnerability to flooding and inundation
revealed by historical reconstruction: Fongafale Islet, Funafuti Atoll,
Tuvalu, Glob. Planet. Change, 57, 407–416, https://doi.org/10.1016/j.gloplacha.2007.02.007, 2007.
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F.,
Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy
map of global terrain elevations: Accurate Global Terrain Elevation map,
Geophys. Res. Lett., 44, 5844–5853, https://doi.org/10.1002/2017GL072874, 2017.
Zink, M., Bachmann, M., Brautigam, B., Fritz, T., Hajnsek, I., Moreira, A.,
Wessel, B., and Krieger, G.: TanDEM-X: The New Global DEM Takes Shape, IEEE
Geosci. Remote Sens. Mag., 2, 8–23, https://doi.org/10.1109/MGRS.2014.2318895, 2014.
Short summary
New estimates of population and land area by settlement types within low-elevation coastal zones (LECZs) based on four sources of population data, four sources of settlement data and four sources of elevation data for the years 1990, 2000 and 2015. The paper describes the sensitivity of these estimates and discusses the fitness of use guiding user decisions. Data choices impact the number of people estimated within LECZs, but across all sources the LECZs are predominantly urban and growing.
New estimates of population and land area by settlement types within low-elevation coastal zones...
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