Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions
Anthropogenic heat is the heat generated by human activities such as industry, construction, transport, and metabolism. Accurate estimates of anthropogenic heat are essential for studying the impacts of human activities on the climate and atmospheric environment. Commonly applied methods for estimat...
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Main Authors: | Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/2/200 |
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