An Effective Compound Algorithm for Reconstructing MODIS NDVI Time Series Data and Its Validation Based on Ground Measurements

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 8, 2016, Pages 3588-3597

  Geng, Liying ^a   Ma, Mingguo ^b   Wang, Haibo ^a  

^a Chinese Academy of Sciences   (China)

^b SOUTHWEST UNIVERSITY   (China)

Author keywords

Moderate resolution imaging spectroradiometer (MODIS); noise reduction; normalized difference vegetation index (NDVI); reconstruction techniques; regional validation; remote sensing products

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; LAND USE; MEAN SQUARE ERROR; RADIOMETERS; SATELLITE IMAGERY; TIME SERIES;

COMPOUND ALGORITHM; DATA RECONSTRUCTION; DE-NOISING TECHNIQUES; GROUND MEASUREMENTS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX TIME SERIES; ROOT MEAN SQUARE ERRORS; TEMPORAL AND SPATIAL;

ITERATIVE METHODS;

ALGORITHM; GROUND-BASED MEASUREMENT; INTERPOLATION; MODEL VALIDATION; MODIS; NDVI; RECONSTRUCTION; REMOTE SENSING; TIME SERIES;

CHINA; GANSU; HEIHE BASIN;

EID: 84947299023     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2495112     Document Type: Article

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