A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
Inland surface waters are abundant in the tundra and boreal forests in North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type...
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ftcopernicus:oai:publications.copernicus.org:essdd96962 2023-05-15T17:58:10+02:00 A high-resolution inland surface water body dataset for the tundra and boreal forests of North America Sui, Yijie Feng, Min Wang, Chunling Li, Xin 2021-12-10 application/pdf https://doi.org/10.5194/essd-2021-278 https://essd.copernicus.org/preprints/essd-2021-278/ eng eng doi:10.5194/essd-2021-278 https://essd.copernicus.org/preprints/essd-2021-278/ eISSN: 1866-3516 Text 2021 ftcopernicus https://doi.org/10.5194/essd-2021-278 2021-12-13T17:22:30Z Inland surface waters are abundant in the tundra and boreal forests in North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type, and vulnerability. In this paper we present an inland surface water body inventory (SWBI) dataset for the tundra and boreal forests of North America. Nearly 6.7 million water bodies were identified, with approximately 6 million (~90 %) of them smaller than 0.1 km 2 . The dataset provides geometry coverage and morphological attributes for every water body. During this study we developed an automated approach for detecting surface water extent and identifying water bodies in the 10 m resolution Sentinel-2 multispectral satellite data to enhance the capability for delineating small water bodies and their morphological attributes. The approach was applied to the Sentinel-2 data acquired in 2019 to produce the water body dataset for the entire tundra and boreal forests in North America, providing a more complete representation of the region than existing regional datasets, e.g., Permafrost Region Pond and Lake (PeRL). Total accuracy of the detected water extent by SWBI dataset was 96.36 % by comparing to interpreted data for locations randomly sampled across the region. Compared to the 30 m or coarser resolution water datasets, e.g., JRC GSW yearly water history, HydroLakes, and Global Lakes and Wetlands Database (GLWD), the SWBI provided an improved ability on delineating water bodies, and reported higher accuracies in the size, number, and perimeter attributes of water body by comparing to PeRL and interpreted regional dataset. This dataset is available on the National Tibetan Plateau/Third Pole Environment Data Center (TPDC, http://data.tpdc.ac.cn ): DOI: 10.11888/Hydro.tpdc.271021 (Feng et al., 2020). Text permafrost Tundra Copernicus Publications: E-Journals The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) |
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Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
Inland surface waters are abundant in the tundra and boreal forests in North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type, and vulnerability. In this paper we present an inland surface water body inventory (SWBI) dataset for the tundra and boreal forests of North America. Nearly 6.7 million water bodies were identified, with approximately 6 million (~90 %) of them smaller than 0.1 km 2 . The dataset provides geometry coverage and morphological attributes for every water body. During this study we developed an automated approach for detecting surface water extent and identifying water bodies in the 10 m resolution Sentinel-2 multispectral satellite data to enhance the capability for delineating small water bodies and their morphological attributes. The approach was applied to the Sentinel-2 data acquired in 2019 to produce the water body dataset for the entire tundra and boreal forests in North America, providing a more complete representation of the region than existing regional datasets, e.g., Permafrost Region Pond and Lake (PeRL). Total accuracy of the detected water extent by SWBI dataset was 96.36 % by comparing to interpreted data for locations randomly sampled across the region. Compared to the 30 m or coarser resolution water datasets, e.g., JRC GSW yearly water history, HydroLakes, and Global Lakes and Wetlands Database (GLWD), the SWBI provided an improved ability on delineating water bodies, and reported higher accuracies in the size, number, and perimeter attributes of water body by comparing to PeRL and interpreted regional dataset. This dataset is available on the National Tibetan Plateau/Third Pole Environment Data Center (TPDC, http://data.tpdc.ac.cn ): DOI: 10.11888/Hydro.tpdc.271021 (Feng et al., 2020). |
format |
Text |
author |
Sui, Yijie Feng, Min Wang, Chunling Li, Xin |
spellingShingle |
Sui, Yijie Feng, Min Wang, Chunling Li, Xin A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
author_facet |
Sui, Yijie Feng, Min Wang, Chunling Li, Xin |
author_sort |
Sui, Yijie |
title |
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
title_short |
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
title_full |
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
title_fullStr |
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
title_full_unstemmed |
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America |
title_sort |
high-resolution inland surface water body dataset for the tundra and boreal forests of north america |
publishDate |
2021 |
url |
https://doi.org/10.5194/essd-2021-278 https://essd.copernicus.org/preprints/essd-2021-278/ |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
The Sentinel |
geographic_facet |
The Sentinel |
genre |
permafrost Tundra |
genre_facet |
permafrost Tundra |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-2021-278 https://essd.copernicus.org/preprints/essd-2021-278/ |
op_doi |
https://doi.org/10.5194/essd-2021-278 |
_version_ |
1766166712055496704 |