MICROCOMPUTER TECHNIQUES FOR THE CREATION AND ANALYSIS OF 7 1/2' IMAGE MAP FROM LANDSAT MSS, RBV, AND THEMATIC MAPPER IMAGES. (VOLUMES I AND II) (GEOGRAPHIC INFORMATION SYSTEM, PROCESSING, AGRICULTURAL MANAGEMENT, NATURAL RESOURCES).

摘要

A microcomputer based image processing system can be used by agricultural and natural resources professionals as a cost effective tool to analyze the current status of their lands. Appropriately analyzed remotely sensed images, together with these user's unique information on the area of interest can be combined for better local and efficient management of natural resources. A low-cost, flexible, and user-friendly microcomputer based image and map processing system has been developed to fulfill this objective. This system can: (1) directly access, calibrate, store, and retrieve multispectral and multitemporal satellite and aircraft images via magnetic tapes, (2) rasterize and store existing maps prepared by conventional methods, (3) analyze image and map rasterized data in tandem to yield information of potential use to agricultural resource managers, and (4) display these results in a variety of high quality, color formats for direct, easy use in these applications.;The unique map-oriented, georeferenced approach of this system enables its user to create very accurately registered (plus and minus 1 picture element), multivariable, multitemporal images which can be subsequently subjected to various analyses and display functions. The system was tested by addressing a number of interesting resource management applications including: (1) generating high quality image maps from Landstat Thematic Mapper images, (2) mapping crop types from multidate, multitemporal Landsat Multispectral Scanner images, (3) mapping vegetation conditions from Landsat Thematic Mapper images, especially in-field variation of green canopy biomass for individual farm fields or ranch pastures, (4) demonstrating computer-aided, hybrid air photo and satellite interpretation techniques, and (5) building geographic information systems and using them in modeling land cover conditions.