Using deep learning and multi-source remote sensing images to map landlocked lakes in Antarctica
Anyao Jiang,Xin Meng,Yan Huang,and Guitao Shi
Anyao Jiang
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences and State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
Xin Meng
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences and State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
Yan Huang
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences and State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences and State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Viewed
Total article views: 4,381 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,243
1,001
137
4,381
331
151
224
HTML: 3,243
PDF: 1,001
XML: 137
Total: 4,381
Supplement: 331
BibTeX: 151
EndNote: 224
Views and downloads (calculated since 28 Sep 2023)
Cumulative views and downloads
(calculated since 28 Sep 2023)
Total article views: 2,305 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,870
377
58
2,305
101
69
124
HTML: 1,870
PDF: 377
XML: 58
Total: 2,305
Supplement: 101
BibTeX: 69
EndNote: 124
Views and downloads (calculated since 21 Nov 2024)
Cumulative views and downloads
(calculated since 21 Nov 2024)
Total article views: 2,076 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,373
624
79
2,076
230
82
100
HTML: 1,373
PDF: 624
XML: 79
Total: 2,076
Supplement: 230
BibTeX: 82
EndNote: 100
Views and downloads (calculated since 28 Sep 2023)
Cumulative views and downloads
(calculated since 28 Sep 2023)
Viewed (geographical distribution)
Total article views: 4,381 (including HTML, PDF, and XML)
Thereof 4,299 with geography defined
and 82 with unknown origin.
Total article views: 2,305 (including HTML, PDF, and XML)
Thereof 2,243 with geography defined
and 62 with unknown origin.
Total article views: 2,076 (including HTML, PDF, and XML)
Thereof 2,056 with geography defined
and 20 with unknown origin.
Landlocked lakes are crucial to the Antarctic ecosystem and sensitive to climate change. Limited research on their distribution prompted us to develop an automated detection process using deep learning and multi-source satellite imagery. This allowed us to accurately determine the landlocked lake open water (LLOW) area in Antarctica, generating high-resolution time series data. We find that the changes in positive and negative degree days predominantly drive variations in the LLOW area.
Landlocked lakes are crucial to the Antarctic ecosystem and sensitive to climate change. Limited...