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：2004
卷号：XXXV Part B7
页码：1133-1136
出版社：Copernicus Publications
摘要：Radar sensors operating with different wavelengths and polarizations have been widely used for large-scale forest mapping andmonitoring. The interferometric phase obtained by micro wave sensors contains additional information on the three-dimensional structureof the scattering targets in the image. An experiment was performed in the Brazilian Amazon (Tapajós National Forest and surroundings)to provide airborne SAR data at X- and P- bands over tropical rain forest. In a first step of th e presented research the regular radarbackscatter results are joined with an interferometric height model to establish a statistical relationship to forest biomass (primary andsecondary vegetation). Subsequently, that model is applied for generation of a thematic land cover map. Backscattering of P-b and wavesmainly occurs on the ground surface, and can be used for interferometric generation of a Digital Elevation Model. The X-band isreflected by dossel, and thus relates to the forest canopy in a Digital Surface Model. The difference between both models has been shownto represent height of vegetation. Care was taken in establishing statistical models that relate dendrometric parameters from forest typesto both P-band backscatter and interferometric height. A best biomass model [biomass = 44.965 + 13.887 × h int+ 10.556 × σ°HH] wasestablished after comprehensive testing of a range of specific allometric equations to achieve statistically high precision in biomassprediction. A segmentation algorithm (hierarchical region growth) was applied to the remote sensing dataset to provide means forapplication of the biomass model to homogeneous landscape units with similar biophysical characteristics and site histories. A finalmapping result displays forest biomass, and accounts for different successional stages and primary forest in intervals
关键词：Interferometer; SAR; Forestry; Land cover; Inventory; Mapping; Modelling
