In order to meet the needs of remote sensing monitoring of forest fuel loads,this study designed a sampling plan by using the stratified sampling method to set up large plots of forest fuels in the major forest types in typical areas.For each large plot,on the basis of the zoning of the forest stand type,the method of measuring around the angle and the quadratic survey was used to measure the fuel load of the various layers(e.g.,tree-,shrub-,herb-,litter-,and humus-layer)in the large sample plot.A comprehensive investigation was carried out on the plant load and other factors such as stand and topography characteristics.Finally,the feasibility of using statistical methods to establish a remote sensing prediction model of fuels load based on factors such as combustibles load and vegetation index was discussed.The research results can provide favorable technical support for the accurate investigation and dynamic monitoring of the forest fuel loads at the regional scale.