Forest fire risk assessment combining remote sensing and meteorological information

Autor:	Peng Guangxiong, Chen Yunhao, Li Jing
Rok vydání:	2007
Předmět:	Data processing Soil Science Environmental science Animal Science and Zoology Fuel type Plant Science Observation data Agronomy and Crop Science Fire risk Remote sensing
Zdroj:	New Zealand Journal of Agricultural Research. 50:1037-1044
ISSN:	1175-8775 0028-8233
DOI:	10.1080/00288230709510383
Popis:	Based on fire susceptibility index (FSI), an improved index is developed. Improved fire susceptibility index (IFSI) considers both live fuel and dead fuel using remotely sensed data with meteorological data and is conducive to the normalisation of data processing or to multifactor analysis. The weights of IFSI between live fuel and dead fuel may be derived from a fuel type map by experience based on ground observation data. IFSI has been validated with fire potential index (FPI) using success‐rate verification (SRV) method based on historical fire hotspot data. The forest fire prediction accuracy of IFSI is very close to that of FPI, FPI is better in low fire risk ranges and IFSI is better in high fire risk ranges.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0d8f44c5c6fa3bd70d8181a213984539 https://doi.org/10.1080/00288230709510383 Zobrazit plný text záznamu Plný text ve formátu PDF