A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ...
Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of t...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8014500 https://zenodo.org/record/8014500 |
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ftdatacite:10.5281/zenodo.8014500 2023-07-23T04:21:21+02:00 A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... Bingxin Bai, et al. 2023 https://dx.doi.org/10.5281/zenodo.8014500 https://zenodo.org/record/8014500 en eng Zenodo https://dx.doi.org/10.5281/zenodo.8014499 Open Access Open Data Commons Open Database License v1.0 https://opendatacommons.org/licenses/odbl/1-0/ info:eu-repo/semantics/openAccess Global, Lake/Reservoir, Surface Extent dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.801450010.5281/zenodo.8014499 2023-07-03T18:40:28Z Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed lakes and permafrost-fed lakes, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater ... : The two folders (one by global, and one by continent) are the shapefiles of the Global Reservoir/Lake Surface Area Dataset (GLRSED) v1.0 (Bai et al., under review, 2023), which are under an Open Database License (ODbL) v1.0. ... Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology) Reservoir Lake ENVELOPE(-100.990,-100.990,56.757,56.757) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Global, Lake/Reservoir, Surface Extent |
spellingShingle |
Global, Lake/Reservoir, Surface Extent Bingxin Bai, et al. A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
topic_facet |
Global, Lake/Reservoir, Surface Extent |
description |
Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed lakes and permafrost-fed lakes, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater ... : The two folders (one by global, and one by continent) are the shapefiles of the Global Reservoir/Lake Surface Area Dataset (GLRSED) v1.0 (Bai et al., under review, 2023), which are under an Open Database License (ODbL) v1.0. ... |
format |
Dataset |
author |
Bingxin Bai, et al. |
author_facet |
Bingxin Bai, et al. |
author_sort |
Bingxin Bai, et al. |
title |
A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
title_short |
A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
title_full |
A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
title_fullStr |
A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
title_full_unstemmed |
A Global Lake/Reservoir Surface Extent Dataset (GLRSED) ... |
title_sort |
global lake/reservoir surface extent dataset (glrsed) ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8014500 https://zenodo.org/record/8014500 |
long_lat |
ENVELOPE(-100.990,-100.990,56.757,56.757) |
geographic |
Reservoir Lake |
geographic_facet |
Reservoir Lake |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://dx.doi.org/10.5281/zenodo.8014499 |
op_rights |
Open Access Open Data Commons Open Database License v1.0 https://opendatacommons.org/licenses/odbl/1-0/ info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.801450010.5281/zenodo.8014499 |
_version_ |
1772186826169122816 |