A Generalized Spatiotemporally Weighted Boosted Regression to Predict the Occurrence of Grassland Fires in the Mongolian Plateau

A Generalized Spatiotemporally Weighted Boosted Regression to Predict the Occurrence of Grassland Fires in the Mongolian Plateau

Grassland fires are one of the main disasters in the temperate grasslands of the Mongolian Plateau, posing a serious threat to the lives and property of residents. The occurrence of grassland fires is affected by a variety of factors, including the biomass and humidity of fuels, the air temperature...

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Bibliographic Details
Main Authors: Ritu Wu, Zhimin Hong, Wala Du, Yu Shan, Hong Ying, Rihan Wu, Byambakhuu Gantumur
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
Mongolian Plateau grassland fires
generalized boosted regression model
geographical weight
spatiotemporal weight
predictive models
Online Access:https://www.mdpi.com/2072-4292/17/9/1485
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