Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data

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

Volumn 10, Issue 9, 2017, Pages 4116-4123

  Wang, Qunming ^a   Zhang, Yihang ^c,d   Onojeghuo, Alex O ^b   Zhu, Xiaolin ^e,f   Atkinson, Peter M ^g,h,i  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b NNAMDI AZIKIWE UNIVERSITY   (Nigeria)

^c Wuhan National Laboratory for Optoelectronics   (China)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^e HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^f WUHAN UNIVERSITY   (China)

^g LANCASTER UNIVERSITY   (United Kingdom)

^h QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

ⁱ UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Downscaling; geostatistics; image fusion; Landsat; MODIS; spatio temporal fusion

Indexed keywords

EARTH SCIENCES; REMOTE SENSING;

HETEROGENEOUS LANDSCAPES; ILL POSED PROBLEM; LANDSAT; PREDICTION ACCURACY; REGRESSION-KRIGING; SPATIAL RESOLUTION; SPATIO-TEMPORAL FUSIONS; TEMPORAL RESOLUTION;

RADIOMETERS;

ACCURACY ASSESSMENT; DATA SET; DOWNSCALING; GEOSTATISTICS; IMAGE PROCESSING; LANDSAT; MODIS; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS;

EID: 85020102052     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2701643     Document Type: Article

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