Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model

Forest fires are one of the most common natural disasters and public crisis events, presenting a serious threat to the ecosystem and human security. The traditional forest fire monitoring is time-consuming and inaccurate, but nighttime light remote sensing is enhancing the efficiency and speed of fo...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Yuehan Yu, Lili Liu, Zhijian Chang, Yuanqing Li, Kaifang Shi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
Colecção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Forest fires nighttime lights (NTLs) random forest classification Southwest China spatiotemporal analysis
Acesso em linha:	https://ieeexplore.ieee.org/document/10551624/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!