期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：633-636
出版社：Copernicus Publications
摘要：Although the problem in tropical forest has been widely concerned, deforestation and forest degradation is still hot issue in the world. In some countries in the Mekong River Basin, scientific knowledge about forest ecosystem and forest law enforcement are not enough to maintain their forests in good condition from the natural environmental point of view. Remote sensing technology is considered one of the useful and important tools for monitoring various forest conditions. The phenological change of each forest is greatly related to the changes of natural environmental factors, such as water, temperature, soil and solar radiation. The authors proposed a monitoring system to get environmental information of forested area using remote sensing data. The pre-processing method named LMF and LMF-KF (Local Maximum and Fitting with the Kalman Filter) was introduced, which modelled the seasonal changes for time series data of frequent observation satellite data. This technology overcomes the influences of cloud cover and sensitivity fluctuations of the sensors. We applied these methods to SPOT-Vegetation and NOAA-AVHRR data of the Mekong River Basin. These dataset could show the environmental conditions, such as vegetation cover, temperature, snow cover area and leaf water condition in Mekong River Basin
