Forecasting method of national-level forest fire risk rating

Xian-lin Qin; Zi-hui Zhang; Zeng-yuan Li; Hao-ruo Yi

doi:10.1117/12.816205

24 November 2008 Forecasting method of nationak-level forest fire risk rating

Xian-lin Qin, Zi-hui Zhang, Zeng-yuan Li, Hao-ruo Yi

Proceedings Volume 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China; 712317 (2008) https://doi.org/10.1117/12.816205
Event: Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 2007, Beijing, China

Abstract

The risk level of forest fire not only depends on weather, topography, human activities, socio-economic conditions, but is also closely related to the types, growth, moisture content, and quantity of forest fuel on the ground. How to timely acquire information about the growth and moisture content of forest fuel and climate for the whole country is critical to national-level forest fire risk forecasting. The development and application of remote sensing (RS), geographic information system (GIS), databases, internet, and other modern information technologies has provided important technical means for macro-regional forest fire risk forecasting. In this paper, quantified forecasting of national-level forest fire risk was studied using Fuel State Index (FSI) and Background Composite Index (BCI). The FSI was estimated using Moderate Resolution Imaging Spectroradiaometer (MODIS) data. National meteorological data and other basic data on distribution of fuel types and forest fire risk rating were standardized in ArcGIS platform to calculate BCI. The FSI and the BCI were used to calculate the Forest Fire Danger Index (FFDI), which is regarded as a quantitative indicator for national forest fire risk forecasting and forest fire risk rating, shifting from qualitative description to quantitative estimation. The major forest fires occurred in recent years were taken as examples to validate the above method, and results indicated that the method can be used for quantitative forecasting of national-level forest fire risks.

Citation Download Citation

Xian-lin Qin, Zi-hui Zhang, Zeng-yuan Li, and Hao-ruo Yi "Forecasting method of nationak-level forest fire risk rating", Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712317 (24 November 2008); https://doi.org/10.1117/12.816205

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available