APPLICATION OF REMOTE SENSING IN SOUTH DAKOTA TO PROVIDE ACCURATE INVENTORIES OF AGRICULTURAL CROPS, ENHANCE CONTRAST IN PHOTOGRAPHIC PRODUCTS, MONITOR RANGELAND HABITAT LOSS, MAP ASPEN, AND PREPARE HYDROGEOLOGIC SURVEYS

摘要

The use of remote sensing technology has been evaluated and incorporated in the melioration of various public agency decisionmaking processes in South Dakota, efficacious use-ago of each application will be abstracted in the ensuing paragraphs.nRecent research has indicated that soils influence spectral signatures of row crops on Landsat CCT's. The contribution of soil reflectance to Landsat spectral signatures has been analyzed on a county wide basis. Seven major soil associations (five associations contained the majority of cropped lands) are located in Codinoton County, South Dakota. Training data were collected in each of the five cropped associations. Digital analysis of Landsat CCT's indicated that two discrete spectral background reflection zones occurred among the five soil zones. K-CLASS classification of corn revealed that accuracy increased from 42 percent to 83 percent when two background zones were used, compared to classification of corn stratified by five soil zones.