Operational data fusion framework for building frequent landsat-like imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 11, 2014, Pages 7353-7365

  Wang, Peijuan ^a,b   Gao, Feng ^b   Masek, Jeffrey G ^c  

^a STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Crop condition monitoring; data fusion; Landsat; Moderate Resolution Imaging Spectroradiometer (MODIS); spatial and temporal adaptive reflectance fusion model (STARFM); time series; vegetation index (VI)

Indexed keywords

CONDITION MONITORING; DATA FUSION; DISTRIBUTION FUNCTIONS; RADIOMETERS; REFLECTION; TIME SERIES;

CROP CONDITION; FUSION MODEL; LANDSAT; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; VEGETATION INDEX;

SATELLITE IMAGERY;

ACCURACY ASSESSMENT; AUTOMATION; CLOUD COVER; LAND COVER; LANDSAT; MODIS; SPATIOTEMPORAL ANALYSIS; SURFACE REFLECTANCE; TIME SERIES; VEGETATION INDEX;

HIMALAYAS; HINDU KUSH; INDIA;

EID: 84902080707     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2311445     Document Type: Article

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