Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery

Remote Sensing of Environment

Volumn 117, Issue , 2012, Pages 125-134

  Mitraka, Zina ^a,c   Chrysoulakis, Nektarios ^a   Kamarianakis, Yiannis ^b   Partsinevelos, Panagiotis ^c   Tsouchlaraki, Androniki ^c  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b Cornell University   (United States)

^c TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Constrained least absolute value algorithm; Land surface emissivity; Spectral mixture analysis; Urban environment

Indexed keywords

COMPONENT BASED; CONSTRAINED LEAST SQUARES; EMISSIVITY DISTRIBUTION; EMISSIVITY VALUES; ENERGY BUDGETS; ERROR ESTIMATIONS; FRACTIONAL COVER; HIGH RESOLUTION SATELLITE IMAGERY; LAND COVER; LAND SURFACE; LAND SURFACE TEMPERATURE; LEAST ABSOLUTE VALUE; MULTI-SPECTRAL; MULTI-SPECTRAL DATA; SATELLITE SENSORS; SENSIBLE AND LATENT HEAT FLUXES; SPECTRAL LIBRARIES; SPECTRAL MIXTURE ANALYSIS; SPECTRAL REGION; SUB-PIXEL CLASSIFICATION; SURFACE TEMPERATURES; URBAN CANOPIES; URBAN ENVIRONMENTS; URBAN SURFACES; VISIBLE AND NEAR INFRARED;

ALGORITHMS; ATMOSPHERIC TEMPERATURE; ESTIMATION; IMAGE SEGMENTATION; PIXELS; SATELLITE IMAGERY; SOLAR RADIATION; SURFACE MEASUREMENT; SURFACE PROPERTIES; URBAN PLANNING;

ELECTROMAGNETIC WAVE EMISSION;

ALBEDO; ALGORITHM; ASTER; BIOCLIMATOLOGY; CANOPY; ENERGY BUDGET; ESTIMATION METHOD; HEAT FLUX; IMAGE CLASSIFICATION; INFRARED IMAGERY; LAND COVER; LAND SURFACE; NUMERICAL MODEL; PIXEL; SATELLITE IMAGERY; SPECTRAL ANALYSIS; SURFACE TEMPERATURE; URBAN AREA; URBAN PLANNING;

GREECE;

EID: 84855448121     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.06.025     Document Type: Article

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