文献类型：会议论文

英文题名：Forest canopy moisture content monitoring method using HJ-1B IRS data

作者：Qin, X.L.[1] Deng, G.[1] Li, Z.Y.[1]

第一作者：覃先林

通信作者：Qin, X.L.

机构：[1] Research Institute of Forest Resource Information Technology, Chinese Academy of Forestry, Beijing, China

会议论文集：34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

会议日期：April 10, 2011 - April 15, 2011

会议地点：Sydney, NSW, Australia

语种：英文

外文关键词：Deforestation - Fire hazards - Fires - Fuels - Infrared devices - Moisture control - Moisture determination - Reflection - Remote sensing

年份：2011

摘要：Forest canopy moisture content is an important factor in determining forest fire risk and forest fire behaviour. In Dargon 2 project, to develop a suitable regional early warning technique to predict forest fire risk, a Normal Difference Water Index (NDWI), which has been calculated by using the reflectance of SWIR and NIR band of HJ-1B IRS, has been used to retrieve forest canopy moisture content in our experiment region. The results showed that the value of forest canopy moisture content by using the reflectance of SWIR band and NIR band had the similar trend to the locate observation. This method can provide efficiently fuel moisture content spatial distribution in forest fire risk prediction.