Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions

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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Bibliographic Details
Main Authors: Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
anthropogenic heat
the inventory method
the energy balance equation method
the building model simulation method
remote sensing data
machine learning
Online Access:https://www.mdpi.com/2072-4292/17/2/200
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