Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1353-2024
© Author(s) 2024. 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-16-1353-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Mar 2024
Data description paper |
| 15 Mar 2024
| 15 Mar 2024
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
Xiao Zhang
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Tingting Zhao
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Hong Xu
The High-Tech Research & Development Center (HTRDC) of the National Natural Science Foundation of China, Beijing 100044, China
Wendi Liu
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Jinqing Wang
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Xidong Chen
Future Urbanity & Sustainable Environment (FUSE) Lab, The University of Hong Kong, Hong Kong SAR, 999007, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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- Large disagreements in estimates of urban land across scales and their implications T. Chakraborty et al. 10.1038/s41467-024-52241-5
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- Simulation of Urban Carbon Sequestration Service Flows and the Sustainability of Service Supply and Demand Y. Ma & S. Tian 10.3390/su16177738
- Carbon emissions from global impervious surface expansion between 1985 and 2020 Z. Li et al. 10.1016/j.scitotenv.2024.175856
- Habitat quality outweighs the human footprint in driving spatial patterns of Cetartiodactyla in the Kunlun-Pamir Plateau X. Huang et al. 10.1016/j.jenvman.2024.122693
- An Approach for Mapping Ecotourism Suitability Using Machine Learning: A Case Study of Zhangjiajie, China Q. Huang et al. 10.3390/land13081188
- Temporal Dynamics of Global Barren Areas between 2001 and 2022 Derived from MODIS Land Cover Products M. Eliades et al. 10.3390/rs16173317
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- Ecological effects of land use and land cover change in the typical ecological functional zones of Egypt Y. Liu et al. 10.1016/j.ecolind.2024.112747
- Intercomparison and validation of five existing leaf chlorophyll content products over China X. Wang et al. 10.1016/j.jag.2024.103930
- Mapping Land-Cover Dynamics in Arid Regions Using Spectral Mixture Analysis and Representative Training Samples Y. Cui et al. 10.1109/TGRS.2024.3472080
- Increase in per capita cropland imbalance across countries from 1985 to 2022: A threat to achieving Sustainable Development Goals T. Zhao et al. 10.1016/j.geosus.2024.09.005
- Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches B. Dechant et al. 10.1016/j.rse.2024.114276
- An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine X. Chen et al. 10.1080/15481603.2024.2422930
- Differences in drought characteristics, progression, and recession across ecosystem types in the pantropical region of the Lancang-Mekong River Basin G. Feng et al. 10.1016/j.scitotenv.2024.174514
- A 28-time-point cropland area change dataset in Northeast China from 1000 to 2020 R. Jia et al. 10.5194/essd-16-4971-2024
- A More Accurate Method of Extracting Tidal Flats Data Affected by Irregular Tides Using Surface Humidity Difference: Reducing the Dependence on High Matching Between High and Low Tide Times and Satellite Transit Times Y. Liu et al. 10.1109/ACCESS.2024.3467273
- A Framework for Subregion Ensemble Learning Mapping of Land Use/Land Cover at the Watershed Scale R. Li et al. 10.3390/rs16203855
- A fast hybrid approach for continuous land cover change monitoring and semantic segmentation using satellite time series W. Zhao et al. 10.1016/j.jag.2024.104222
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Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
This work describes GLC_FCS30D, the first global 30 m land-cover dynamics monitoring dataset, which contains 35 land-cover subcategories and covers the period of 1985–2022 in 26 time steps (its maps are updated every 5 years before 2000 and annually after 2000).
This work describes GLC_FCS30D, the first global 30 m land-cover dynamics monitoring dataset,...
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