Integrating hyperspectral imagery at different scales to estimate component surface temperatures
作者： N. A. L. Archer , H. G. Jones
DOI: 10.1080/01431160500396485
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摘要: Different methods for classifying land cover and extracting temperatures of surface components from hyperspectral images at different scales were compared using airborne imagery (Reflective Optics System Imaging Spectrometer (ROSIS) 1.2 m spatial resolution Digital Airborne (DAIS 7915) 3.3 m resolution) a ‘montado/dehesa’ landscape in the Alentejo, Portugal. For calibration purposes, stomatal conductance component vegetation types also measured ground level. Manual classification was with range automated to determine most accurate method study area. The ‘scale’ each type characterized by analysing frequency distribution contiguous pixels 1.2 m. Temperatures estimated combinations data (using spectral angle mapper classification) as well linear unmixing an...
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