International Journal of Remote Sensing · 1994 · 18 citations · 9 references
AgricultureEarth SciencesSoil SciencesRemote SensingSoil ClassificationSoil ScienceLand Cover ClassificationRemote Sensing Image AnalysisRemote Sensing ImagerySoil CartographySoil InterpretationSoil MappingArable FarmingCluster Map VisualizationGround Truth Data CollectionLandsat-based Soil MappingRemote Sensing For Soil-landscape AnalysisRemote Sensing-based Soil MappingSoil Map Unit Delineation
Abstract A method for compiling soil maps from the results of digital processing of remotely-senseddata is presented. The method is based on graphic analysis of mean digital values of clusters in the green-red and (green-red)–(NIR-red) projections in conjunction with visual analysis of the cluster map and spectral curves and their interpretation on the basis of thematic maps and ground data. The proposed technique allows interpretation of the soil types of arable lands with 50 per cent vegetation density and differentiation of the soils with regard to their water regime. The accuracy of the resulting soil map was evaluated as 0·82.
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Photogrammetric Engineering and Remote Sensing
John Nicol, B. King · UCL Discovery (University College London) · 2007 · 9.4K citations
DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION
A J Richardsons, A. Wiegand · 1977 · 1.5K citations
Feature extraction applied to agricultural crops as seen by LANDSAT
R. J. Kauth, P. F. Lambeck, W. Richardson et al. · NASA Technical Reports Server (NASA) · 1979 · 62 citations