Gis Support Of Terrestrial Biomass Remote Sensing Dynamic Monitoring Study

Nowadays, global change research is regared as a focal topic in the scope of science. Vegetation, the indispensable factor of the terrestrial ecosystem, plays an important role in global change study. Biomass, the key variant of plant activity, is the basis of studying on vegetation productivity, net primary productivity and carbon circulation.By the support of Remote Sensing and GIS, integrating geographical data,ecological data and multi-temporal Remote Sensing data, as integrated method for biomass estimation and its dynamic monitoring was developed and applied to a large scale terrestrial ecosystem. This dissertation includes following parts:(1) Study on vegetation index. By comparison among Normal Difference Vegetation Index(NDVI), Soil Adjust Vegetation Index(SAVI) and Modified Soil Adjust Vegetation Index (MSAVI), only MSAVI is suitable for large scale estimatation of vegetation index. We choose MSAVI as an index of vegetation research and exact MSAVI of China. The correlation among MSAVI and temperature,precipitation and biomass was accomplished.(2) Build up the synthesis layer. According to the correlation analysis between biomass and each factor, we select meteorological factor, topographical factor, soil and vegetation factor as the main factors. The weight of factors was created by means of Analytic Hierarchy Process (AHP) technique. The synthesis layer, which response to the natural envoronment, then created by the weight of each factor.(3) Develop Geo-RS modeling. On the basis of vegetation classification, the extracted MSAVI, correlation analysis among biomass and geographical data,ecological data and Remote Sensing spectral information and synthesis layer, the Geo-RS Biomass model was developed. Comparing this model with others, the better of Geo-RS biomass model than others lies in biomass estimation and dynamic monitoring of biomass.(4) Analysis of the spatial-temporal change pattern of biomass and MSAVI.Five profiles and eight sample sites were selected referencing to LUCC criterion and probe into the law of biomass and MSAVI distribution. The conclusion is as foIlows:MSAVI and biomass goes rising from the low to the upper of longitude and from theupper to the low of latitude. There exists a seasonal change that MSAVI and biomassgoes rising in spring, attains to the peak in summef, goes down in autumn and attainsto the minimum in winter. The green wave process from south to north, the brownwave travel from north to sollth.In a sense, it is a new field to estimate biomass using MSAVI in large scale, therestill have some problems in it. Thereforce, its techeque and theory will remain to besolved and perfected in the future.