Comparison of Regional Forest Carbon Estimation Methods Based on Regression and Stochastic Simulation Mapping of forest carbon by combining forest inventory data and satellite images with co-simulation based up-scaling method Modelling the spatial distribution of forest carbon stocks with artificial neural network based on TM images and forest inventory data Linear programming and optimal distribution of the forest resources based on TM remote sensing images Automatically Classifying and Identifying the TM Remote Sensing Images of Forest Mixed with Conifer and Broadleaves Using Improved BP ANN Ecological water requirement estimation of the rump lake in an extreme arid region of East Juyanhai