Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3349-2022
© Author(s) 2022. 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-14-3349-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
19 Jul 2022
Data description article |
| 19 Jul 2022
| 19 Jul 2022
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
Yijie Sui
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Min Feng
CORRESPONDING AUTHOR
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, China
University of Chinese Academy Sciences, Beijing 100049, China
Chunling Wang
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy Sciences, Beijing 100049, China
Xin Li
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy Sciences, Beijing 100049, China
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Cited
25 citations as recorded by crossref.
- Identifying Alpine Lakes with Shoreline Features Z. Hu et al.
- The Thores Lake proglacial system: remnant stability in the rapidly changing Canadian High Arctic A. Culley et al.
- Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017 Y. Su et al.
- Analysis of taiga and tundra lake browning trends from 2002 to 2021 using MODIS data Z. Wang et al.
- An End-to-End Framework for Multimodal and Multitemporal Analysis of Water Bodies Using the SEN12-WATER Dataset L. Russo et al.
- Construction of a near-real-time long-term monthly water body dataset by fusing JRC MWH and Sentinel data and its application in reservoir dynamics monitoring Y. Qiu et al.
- A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double‐Counted Wetlands on Pan‐Arctic Lake Methane Emissions Estimates E. Kyzivat & L. Smith
- A dataset of land surface water with a spatial resolution of 30 meters on the Qinghai-Tibet Plateau in 2022 H. LIU et al.
- Inventorying ponds through novel size-adaptive object mapping using Sentinel-1/2 time series D. Liu et al.
- A comprehensive water bodies dataset of high-mountain Asia Y. Sui et al.
- Phytoplankton absorb mainly red light in lakes with high chromophoric dissolved organic matter S. Ahonen et al.
- A comprehensive high-resolution lake inventory across the highly heterogeneous Tibetan Plateau from 2020 Sentinel-2 imagery using deep learning R. Wang et al.
- A novel framework for accurate, automated and dynamic global lake mapping based on optical imagery T. Zhou et al.
- Global-PCG-10: a 10 m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020 B. Niu et al.
- Identifying reservoirs in northwestern Iran using high-resolution satellite images and deep learning K. Shi et al.
- Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril E. Kyzivat & L. Smith
- Artificial Surface Water Construction Aggregated Water Loss Through Evaporation in the North China Plain Z. Wang et al.
- Mapping thermokarst lakes in different physical states on the central Tibetan plateau Y. Qin et al.
- A fully automatic framework for sub-pixel mapping of thermokarst lakes using Sentinel-2 images Y. Qin et al.
- Progress and prospects in satellite remote sensing monitoring of terrestrial surface water Y. Su et al.
- Gaining water bodies by climate change benefits water crisis mitigation in central Asia Y. Su et al.
- A dataset of annual surface water extent in the Xijiang River Basin from 1986 to 2023 D. YAO et al.
- A trained Mask R-CNN model over PlanetScope imagery for very-high resolution surface water mapping in boreal forest-tundra P. Freitas et al.
- Assessment of land surface vulnerability using time-series geospatial datasets B. Yuan et al.
- Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning M. Merchant et al.
25 citations as recorded by crossref.
- Identifying Alpine Lakes with Shoreline Features Z. Hu et al.
- The Thores Lake proglacial system: remnant stability in the rapidly changing Canadian High Arctic A. Culley et al.
- Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017 Y. Su et al.
- Analysis of taiga and tundra lake browning trends from 2002 to 2021 using MODIS data Z. Wang et al.
- An End-to-End Framework for Multimodal and Multitemporal Analysis of Water Bodies Using the SEN12-WATER Dataset L. Russo et al.
- Construction of a near-real-time long-term monthly water body dataset by fusing JRC MWH and Sentinel data and its application in reservoir dynamics monitoring Y. Qiu et al.
- A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double‐Counted Wetlands on Pan‐Arctic Lake Methane Emissions Estimates E. Kyzivat & L. Smith
- A dataset of land surface water with a spatial resolution of 30 meters on the Qinghai-Tibet Plateau in 2022 H. LIU et al.
- Inventorying ponds through novel size-adaptive object mapping using Sentinel-1/2 time series D. Liu et al.
- A comprehensive water bodies dataset of high-mountain Asia Y. Sui et al.
- Phytoplankton absorb mainly red light in lakes with high chromophoric dissolved organic matter S. Ahonen et al.
- A comprehensive high-resolution lake inventory across the highly heterogeneous Tibetan Plateau from 2020 Sentinel-2 imagery using deep learning R. Wang et al.
- A novel framework for accurate, automated and dynamic global lake mapping based on optical imagery T. Zhou et al.
- Global-PCG-10: a 10 m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020 B. Niu et al.
- Identifying reservoirs in northwestern Iran using high-resolution satellite images and deep learning K. Shi et al.
- Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril E. Kyzivat & L. Smith
- Artificial Surface Water Construction Aggregated Water Loss Through Evaporation in the North China Plain Z. Wang et al.
- Mapping thermokarst lakes in different physical states on the central Tibetan plateau Y. Qin et al.
- A fully automatic framework for sub-pixel mapping of thermokarst lakes using Sentinel-2 images Y. Qin et al.
- Progress and prospects in satellite remote sensing monitoring of terrestrial surface water Y. Su et al.
- Gaining water bodies by climate change benefits water crisis mitigation in central Asia Y. Su et al.
- A dataset of annual surface water extent in the Xijiang River Basin from 1986 to 2023 D. YAO et al.
- A trained Mask R-CNN model over PlanetScope imagery for very-high resolution surface water mapping in boreal forest-tundra P. Freitas et al.
- Assessment of land surface vulnerability using time-series geospatial datasets B. Yuan et al.
- Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning M. Merchant et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
High-latitude water bodies differ greatly in their morphological and topological characteristics related to their formation, type, and vulnerability. In this paper, we present a water body dataset for the North American high latitudes (WBD-NAHL). Nearly 6.5 million water bodies were identified, with approximately 6 million (~90 %) of them smaller than 0.1 km2.
High-latitude water bodies differ greatly in their morphological and topological characteristics...
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