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Climate change results in an increased probability of extreme weather events that put societies and businesses at risk on a global scale.
“Future flood losses in major coastal cities,”
Stephane Hallegatte, Colin Green, Robert J Nicholls, and Jan Corfee-Morlot, · 2013
Earlier work this paper cites.
“Remote sensing big data computing: Challenges and opportunities,”
Yan Ma, Haiping Wu, Lizhe Wang, Bormin Huang, Rajiv Ranjan, Albert Zomaya, and Wei Jie, · 2015
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Deep learning in remote sensing: A comprehensive review and list of resources,”
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, and Friedrich Fraundorfer, · 2017
Earlier work this paper cites.
“Aggregated residual transformations for deep neural networks,”
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He, · 2017
Earlier work this paper cites.
“Dual path networks,”
Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng, · 2017
Earlier work this paper cites.
“Squeeze-and-excitation networks,”
Jie Hu, Li Shen, and Gang Sun, · 2018
Earlier work this paper cites.
“Cumulo: A dataset for learning cloud classes,”
Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas, Richard Strange, Matt J Kusner, and Duncan Watson-Parris, · 2019
Cited alongside, same era.
“xBD: A dataset for assessing building damage from satellite imagery,”
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, and Matthew Gaston, · 2019
Cited alongside, same era.
“Weakly supervised deep learning for segmentation of remote sensing imagery,”
Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, and David B Lobell, · 2020
Cited alongside, same era.
“Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1,”
Derrick Bonafilia, Beth Tellman, Tyler Anderson, and Erica Issenberg, · 2020
Cited alongside, same era.
“Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture,”
Ching-Yao Lai, Jonathan Kingslake, Martin G Wearing, Po-Hsuan Cameron Chen, Pierre Gentine, Harold Li, Julian J Spergel, and J Melchior van Wessem, · 2020
“Advancing plain vision transformer towards remote sensing foundation model,”
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, and Liangpei Zhang, · 2022
Later among the works it cites.
“Ringmo: A remote sensing foundation model with masked image modeling,”
Xian Sun, Peijin Wang, Wanxuan Lu, Zicong Zhu, Xiaonan Lu, Qibin He, Junxi Li, Xuee Rong, Zhujun Yang, Hao Chang, et al., · 2022
Later among the works it cites.
“Self-supervised learning in remote sensing: A review,”
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, and Xiao Xiang Zhu, · 2022
Later among the works it cites.
“Deploying an artificial intelligence application to detect flood from Sentinel 1 data,”
Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, and Komminist Weldermariam, · 2022
Later among the works it cites.
“HR-GLDD: A globally distributed dataset using generalized DL for rapid landslide mapping on HR satellite imagery,”
Sansar Raj Meena, Lorenzo Nava, Kushanav Bhuyan, Silvia Puliero, Lucas Pedrosa Soares, Helen Cristina Dias, Mario Floris, and Filippo Catani, · 2022
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Cited alongside, same era.
“xView2: 1st place solution,” GitHub, https://github.com/vdurnov/xview2_1st_place_solution, 2020
Victor Durnov, · 2020
Cited alongside, same era.
“Hybrid machine learning approach for landslide prediction, Uttarakhand, India,”
Poonam Kainthura and Neelam Sharma, · 2022
Cited alongside, same era.
Later among the works it cites.
“Global glacier change in the 21st century: Every increase in temperature matters,”
David R. Rounce, Regine Hock, Fabien Maussion, Romain Hugonnet, William Kochtitzky, Matthias Huss, Etienne Berthier, Douglas Brinkerhoff, Loris Compagno, Luke Copland, Daniel Farinotti, Brian Menounos, and Robert W. McNabb, · 2023
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