Estimation of Fire Counts and Fire Radiative Power Using Satellite Optical and Microwave Vegetation Indices With Random Forest Method DOI Creative Commons
Jiawei Duan, Jiheng Hu, Yuyun Fu

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(3)

Published: Jan. 29, 2025

Abstract The satellite microwave emissivity difference vegetation index (EDVI) has been used in previous studies to estimate FCs and FRP using traditional multivariate linear regression models. However, the nonlinear effects contributions of numerous factors that affect forest fires cannot be disentangled by this model. Using random (RF) model, study utilized multiple EDVIs optical normalized (NDVI) as key fuel properties resolve physical driving mechanisms daily over East Asia. results showed estimated were good agreement with observations, a spatial R 0.59 for 0.63 temporal 0.80 0.81 FRP. integration NDVI into RF model was found improve performance generate overall lower systematic errors than without variables. Model better In addition, greater importance NDVI. This largely due their resolution allowed capture fire dynamics time. combination observations shows great potential FC estimations global danger assessment.

Language: Английский

Magnitude, distribution and temporal trend of nitrous oxide emissions from China’s natural soils over 1980–2022 DOI
Songbai Hong, Zimeng Li, M. Zhang H. Zhang Q. Tang

et al.

Science China Earth Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

1
<bold>1980</bold><bold>~</bold><bold>2022</bold>年中国自然土壤氧化亚氮排放的大小<bold>、</bold>分布与时间趋势 DOI Open Access

松柏 洪,

梓萌 李,

铭松 唐

et al.

SCIENTIA SINICA Terrae, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Citations

0
Estimation of Fire Counts and Fire Radiative Power Using Satellite Optical and Microwave Vegetation Indices With Random Forest Method DOI Creative Commons
Jiawei Duan, Jiheng Hu, Yuyun Fu

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(3)

Published: Jan. 29, 2025

Abstract The satellite microwave emissivity difference vegetation index (EDVI) has been used in previous studies to estimate FCs and FRP using traditional multivariate linear regression models. However, the nonlinear effects contributions of numerous factors that affect forest fires cannot be disentangled by this model. Using random (RF) model, study utilized multiple EDVIs optical normalized (NDVI) as key fuel properties resolve physical driving mechanisms daily over East Asia. results showed estimated were good agreement with observations, a spatial R 0.59 for 0.63 temporal 0.80 0.81 FRP. integration NDVI into RF model was found improve performance generate overall lower systematic errors than without variables. Model better In addition, greater importance NDVI. This largely due their resolution allowed capture fire dynamics time. combination observations shows great potential FC estimations global danger assessment.

Language: Английский

Citations

0