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- W2182783258 abstract "The Terra/ASTER sensor has several advantages over other moderate spatial resolution sensors for studying agricultural systems. ASTER bands 5 and 8 are sensitive to lignin-cellulose spectral absorption features present in crop residue. In addition, nadir and oblique views from bands 3N and 3B, respectively, can be used to investigate bidirectional reflectance differences among crop canopies. Studies were conducted in 2005 and 2006 in southern Michigan to test the ability of ASTER to determine crop residue during the non-growing season, and to distinguish major crops (including corn, soybean, wheat, oats, and alfalfa) based on their canopy structure and bidirectional reflectance differences. Results indicate that under certain circumstances the Lignin Cellulose Absorption (LCA) index has potential for estimating crop residue. Wheat and oats had much higher 3B:3N reflectance ratios than other land cover types within the study area. The results of these studies are important in two respects. First, for soil conservationists, a reliable remote sensing-based crop residue index would be an objective, cost-effective alternative to estimating plant residue levels with “drive-by” field surveys. Second, the distinctive bidirectional reflectance properties of wheat and oats have allowed us to improve the accuracy of our land cover classification for the study site, originally based on spectral information alone." @default.
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- W2182783258 date "2007-01-01" @default.
- W2182783258 modified "2023-09-24" @default.
- W2182783258 title "USING ASTER DATA TO DETECT CROP RESIDUE AND TO IMPROVE CROP CLASSIFICATION" @default.
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