Rentao Guo

ORCID: 0009-0007-0077-2659
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About
Contact & Profiles
Research Areas
  • Fire effects on ecosystems
  • Influenza Virus Research Studies
  • Respiratory viral infections research
  • Remote Sensing in Agriculture
  • COVID-19 epidemiological studies
  • Remote Sensing and LiDAR Applications

Jiangxi Normal University
2024

Chinese Center For Disease Control and Prevention
2011

The quantitative assessment of forest fire severity is significant for understanding the changes in ecological processes caused by disturbances. As a novel spectral index derived from multi-objective optimization algorithm, Analytic Burned Area Index (ABAI) was originally designed mapping burned areas. However, performance ABAI detecting has not been addressed. To fill this gap, study utilizes ground-based dataset (the composite burn index, CBI) to validate effectiveness severity. First,...

10.3390/fire7010019 article EN cc-by Fire 2024-01-05
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