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Towards Automated Monitoring Of Glacial Lakes In Hindu Kush And Himalayas Using Deep Learning

  • Published:2023-07-16 Issue: Volume: Page:
  • ISSN:
  • Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
  • language:
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Author:

Siddique Muhammad A.1,Basit Abdul1,Qayyum Nida1,Naseer Ehtasham1,Bhatti M. Khurram1,Minchew Brent2,Ali Mohsen3,Perez Cristian Silva4,Marino Armando4

Affiliation:

1. Information Technology University,Remote Sensing and Spatial Analytics Lab,Lahore,Pakistan

2. D-EAPS Massachusetts Inst. of Technology,Glacier Dynamics and Remote Sensing Group,USA

3. Information Technology University,Intelligent Machines Lab,Lahore,Pakistan

4. University of Stirling,Biological and Environmental Sciences,UK

Funder

National Geographic Society

Publisher

IEEE

Reference12 articles.

1. Annual 30m dataset for glacial lakes in High Mountain Asia from 2008 to 2017;chen;Earth System Science Data,2021

2. The Status of Glacial Lakes in the Hindu Kush Himalaya - ICIMOD Research Report 2018/1

3. Rethinking atrous convolution for semantic image segmentation;chen;CVPR,2017

4. Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images

5. Glacial lake outburst causes widespread flooding in Chitral’s Golen valley;The Express Tribune,2019

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