Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA)

Remote Sensing of Environment

Volumn 132, Issue , 2013, Pages 120-130

  Thorp, K R ^a   French, A N ^a   Rango, A ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

AVIRIS; CAI; Creosote; Grass; Hyperspectral; HyspIRI; Imaging spectroscopy; Mesquite; NDVI; Nonphotosynthetic; Spatial scale; Spectra

Indexed keywords

AVIRIS; CREOSOTE; GRASS; HYPERSPECTRAL; HYSPIRI; IMAGING SPECTROSCOPY; MESQUITE; NDVI; NONPHOTOSYNTHETIC; SPATIAL SCALE;

AGRICULTURE; ATMOSPHERIC SPECTRA; BIODIVERSITY; COMPUTER AIDED INSTRUCTION; IMAGE RESOLUTION; INFRARED SPECTROMETERS; PHOTOMAPPING; REMOTE SENSING; SPECTROMETERS;

VEGETATION;

AVIRIS; BIODIVERSITY; CREOSOTE; GRASS; IMAGE CLASSIFICATION; INVASIVE SPECIES; LIVESTOCK FARMING; NDVI; PHOTOSYNTHESIS; RANGELAND; SEMIARID REGION; SHRUB; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; VEGETATION COVER;

JORDAN; NEW MEXICO; UNITED STATES;

PROSOPIS;

EID: 84873517672     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.01.008     Document Type: Article

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