Longdong region is known as one of the most serious soil erosion areas in the Loess Plateau of China. In this paper, Modified Soil Adjustment Vegetation Index (MSAVI) calculated from the shared Terra/MODIS data. Slope is derived from GTOPO-DEM data provided by the US Geological Survey (USGS). Soil Erosion Intensity of Longdong loess plateau region is calculated with the following three factors MSAVI, slope and average annual rainfall. Compared with previous soil erosion result produced in 1991, the two results match quite well, which shows that the remote sensing data of MODIS is applicable in rapid assessment of regional soil erosion.
Fuel moisture content (FMC) is an important parameter in determining fire risk and fire behavior. Direct measurement of FMC in the field is very costly and time consuming. Therefore, remote sensing becomes the effective method to retrieve FMC at large scale. Short wave infrared (SWIR) band reflectance has been found negatively related to leaf water content and most of the researches are conducted at leaf level. Here SWIR and NIR (Near Infrared) bands of Moderate Resolution Imaging Spectroradiometer (MODIS) are used to retrieve FMC at canopy level in Northeast China forest. The result shows that the combination of MODIS band 7 and 2 presented the best results for FMC estimates. It is also found that forest fires prone to spread along the dryer area.