<b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>

<p dir="ltr">This study combines ICESat-2, the Global Surface Water Dataset (GSWD), and <a href="" target="_blank">geographic interpolation</a> to derive lake bathymetry and assess 30-year water storage variation of Nganga Rinco. Bathymetry in dynamic...

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Main Author: yunmei li (17371120) (author)
Other Authors: Chang Huang (20364085) (author)
Published: 2024
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_version_ 1852024826366001152
author yunmei li (17371120)
author2 Chang Huang (20364085)
author2_role author
author_facet yunmei li (17371120)
Chang Huang (20364085)
author_role author
dc.creator.none.fl_str_mv yunmei li (17371120)
Chang Huang (20364085)
dc.date.none.fl_str_mv 2024-12-02T01:43:02Z
dc.identifier.none.fl_str_mv 10.6084/m9.figshare.27936570.v1
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/_b_Long-term_Lake_Storage_Variation_of_Nganga_Rinco_Revealed_by_ICESat-2_ATLAS_Laser_Point_Cloud_and_Satellite_Remote_Sensing_Imagery_b_/27936570
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Surface water hydrology
lake storage
ICESat-2
dc.title.none.fl_str_mv <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p dir="ltr">This study combines ICESat-2, the Global Surface Water Dataset (GSWD), and <a href="" target="_blank">geographic interpolation</a> to derive lake bathymetry and assess 30-year water storage variation of Nganga Rinco. Bathymetry in dynamic regions offers higher spatial resolution and more precise elevation data compared to the SRTM DEM. When compared to in-situ bathymetry, the derived bathymetry showed an average error of 3.64 m, with errors concentrated in deeper regions. From 1992 to 2021, Nganga Rinco’s water storage exhibited a general increase, reaching a maximum of 12.16 km³.</p>
eu_rights_str_mv openAccess
id Manara_da8d2f710bde67f550f41585d370623e
identifier_str_mv 10.6084/m9.figshare.27936570.v1
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/27936570
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>yunmei li (17371120)Chang Huang (20364085)Surface water hydrologylake storageICESat-2<p dir="ltr">This study combines ICESat-2, the Global Surface Water Dataset (GSWD), and <a href="" target="_blank">geographic interpolation</a> to derive lake bathymetry and assess 30-year water storage variation of Nganga Rinco. Bathymetry in dynamic regions offers higher spatial resolution and more precise elevation data compared to the SRTM DEM. When compared to in-situ bathymetry, the derived bathymetry showed an average error of 3.64 m, with errors concentrated in deeper regions. From 1992 to 2021, Nganga Rinco’s water storage exhibited a general increase, reaching a maximum of 12.16 km³.</p>2024-12-02T01:43:02ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.27936570.v1https://figshare.com/articles/dataset/_b_Long-term_Lake_Storage_Variation_of_Nganga_Rinco_Revealed_by_ICESat-2_ATLAS_Laser_Point_Cloud_and_Satellite_Remote_Sensing_Imagery_b_/27936570CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/279365702024-12-02T01:43:02Z
spellingShingle <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
yunmei li (17371120)
Surface water hydrology
lake storage
ICESat-2
status_str publishedVersion
title <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
title_full <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
title_fullStr <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
title_full_unstemmed <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
title_short <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
title_sort <b>Long-term Lake Storage Variation of Nganga Rinco Revealed by ICESat-2 ATLAS Laser Point Cloud and Satellite Remote Sensing Imagery</b>
topic Surface water hydrology
lake storage
ICESat-2