Title :
Monitoring for grassland and forest fire danger using remote sensing data
Author :
Wang, Litao ; Zhou, Yi ; Wang, Shixin ; Chen, Shirong
Author_Institution :
Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing
Abstract :
Grassland and forest fires do a lot of economic and environmental damages. Based on the ecological and environment features in China, our team constructed the Grassland Fire Danger Index (GFDI) using remote sensing images and weather station data in 2002, which provided early warning information for grassland fires. In the following year of 2003, the Fire Danger Index (FDI) algorithm completely using remote sensing data was developed and tested. In the year of 2004, the FDI was regularly distributed to predict the fire danger status. In this paper, the construction, accuracy testing and applications of the FDI based on remote sensing data are discussed in detail
Keywords :
fires; forestry; geographic information systems; hazards; vegetation mapping; weather forecasting; AD 2002; AD 2003; China; FDI accuracy testing; FDI algorithm; FDI construction; GFDI; Grassland Fire Danger Index; ecological features; economic changes; environmental damage; forest fire danger; remote sensing data; remote sensing images; weather station data; Economic forecasting; Environmental economics; Fault detection; Fires; Fuel economy; Remote monitoring; Remote sensing; Testing; Time measurement; Weather forecasting;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370770
