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Deep Learning Applications in Remote Sensing for Climate Change Monitoring

By Dekai Li

Deep Learning Applications in Remote Sensing for Climate Change Monitoring

By Dekai Li

0 - Default Title
Description
As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience.
Product details
Number of Pages:
364
Release Date:
2025-07-18
Publication Date:
2025-11-07
Publisher:
IGI GLOBAL SCIENTIFIC PUBLISHING
Languages:
Original: English
ISBN13:
9798337335018
GPSR Manufacturer Reference:
[email protected]
Weight:
879 g
Height:
183 cm
Width:
260 cm
Thickness:
24 cm
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