Arid
报告编号NASA-CR-185957, NAS 1.26:185957, R89-22, MIT-324
来源IDNTRS_Document_ID: 19900004563
Physically-based parameterization of spatially variable soil and vegetation using satellite multispectral data
Jasinski, Michael F.; Eagleson, Peter S.
英文摘要A stochastic-geometric landsurface reflectance model is formulated and tested for the parameterization of spatially variable vegetation and soil at subpixel scales using satellite multispectral images without ground truth. Landscapes are conceptualized as 3-D Lambertian reflecting surfaces consisting of plant canopies, represented by solid geometric figures, superposed on a flat soil background. A computer simulation program is developed to investigate image characteristics at various spatial aggregations representative of satellite observational scales, or pixels. The evolution of the shape and structure of the red-infrared space, or scattergram, of typical semivegetated scenes is investigated by sequentially introducing model variables into the simulation. The analytical moments of the total pixel reflectance, including the mean, variance, spatial covariance, and cross-spectral covariance, are derived in terms of the moments of the individual fractional cover and reflectance components. The moments are applied to the solution of the inverse problem: The estimation of subpixel landscape properties on a pixel-by-pixel basis, given only one multispectral image and limited assumptions on the structure of the landscape. The landsurface reflectance model and inversion technique are tested using actual aerial radiometric data collected over regularly spaced pecan trees, and using both aerial and LANDSAT Thematic Mapper data obtained over discontinuous, randomly spaced conifer canopies in a natural forested watershed. Different amounts of solar backscattered diffuse radiation are assumed and the sensitivity of the estimated landsurface parameters to those amounts is examined.
英文关键词MULTISPECTRAL PHOTOGRAPHY PARAMETERIZATION SOIL MAPPING SPECTRAL REFLECTANCE VEGETATIVE INDEX CANOPIES (VEGETATION) COMPUTER PROGRAMS COMPUTERIZED SIMULATION FORESTS GROUND TRUTH SATELLITE IMAGERY SURFACE PROPERTIES
出版年1989
报告类型Technical Report
语种英语
国家美国
URLhttp://hdl.handle.net/2060/19900004563
资源类型科技报告
条目标识符http://119.78.100.177/qdio/handle/2XILL650/259149
推荐引用方式
GB/T 7714
Jasinski, Michael F.,Eagleson, Peter S.. Physically-based parameterization of spatially variable soil and vegetation using satellite multispectral data,1989.
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