Paper Info
Title
Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach.
Abstract
•Daily 30m data were generated by combining MODIS and Landsat data.•A temporal validation method for synthetic daily 30m data was proposed and tested.•Vegetation phenology was monitored using synthetic daily Landsat NDVI data.•Phenology was monitored at 30m spatial resolution while the MODIS product is 500m.•A method for applying ISTDFA when land cover type changes was proposed.
Year
DOI
Venue
2018
10.1016/j.inffus.2017.06.005
Information Fusion
Keywords
Field
DocType
Temporal validation,Spatial and temporal data fusion,Remote sensing,MODIS,Landsat
Time series,Remote sensing,Temporal database,Normalized Difference Vegetation Index,Artificial intelligence,Temporal resolution,Computer vision,Vegetation,Pattern recognition,R-value (insulation),Pixel,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
40
C
1566-2535
Citations 
PageRank 
References 
1
0.36
10
Authors
6
Name
Order
Citations
PageRank
Mingquan Wu116918.49
Wenjiang Huang217951.84
Zheng Niu314422.34
Changyao Wang4908.63
wang li5468.53
Bo Yu610.70