Potential of space-borne hyperspectral data for biomass quantification in an arid environment: Advantages and limitations

Remote Sensing

Volumn 7, Issue 4, 2015, Pages 4565-4580

  Zandler, Harald ^a   Brenning, Alexander ^b,c   Samimi, Cyrus ^a  

^a UNIVERSITY OF BAYREUTH   (Germany)

^b FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Arid environment; Biomass; Drylands; Hyperion; Hyperspectral bands; Hyperspectral vegetation indices; Landsat OLI; Spatial transferability

Indexed keywords

ARID REGIONS; FORECASTING; INFRARED RADIATION; VEGETATION;

ARID ENVIRONMENTS; DRY LAND; HYPERION; HYPERSPECTRAL; HYPERSPECTRAL VEGETATION INDICES; LANDSAT; SPATIAL TRANSFERABILITY;

BIOMASS;

EID: 84937948335     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70404565     Document Type: Article

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