An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data-Reference-Cited by-同舟云学术

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An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data

Published:2023-12 Issue: Volume:298 Page:113730
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Xiao Wanxin,Hui Fengming,Cheng Xiao,Liang Qi

Funder

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars

Southern Marine Science and Engineering Guangdong Laboratory

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference52 articles.

1. Nearshore bathymetry from fusion of Sentinel-2 and ICESat-2 observations;Albright;IEEE Geosci. Remote Sens. Lett.,2021

2. Distribution and seasonal evolution of supraglacial lakes on Shackleton ice shelf,East Antarctica;Arthur;The Cryosphere,2020

3. ICESat-2 elevation retrievals in support of satellite-derived bathymetry for global science applications;Babbel;Geophys. Res. Lett.,2021

4. Modeling supraglacial water routing and lake filling on the Greenland ice sheet;Banwell;J. Geophys. Res. Earth Surf.,2012

5. Supraglacial lakes on the larsen B ice shelf, Antarctica, and at paakitsoq, West Greenland: a comparative study;Banwell;Ann. Glaciol.,2014

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