Title
Spatiotemporal reflectance blending in a wetland environment.
Abstract
To understand the mechanism of wetland cover change with both moderate spatial resolution and high temporal frequency, this research evaluates the applicability of a spatiotemporal reflectance blending model in the Poyang Lake area, China, using 9 time-series Landsat-5 Thematic Mapper images and 18 time-series Terra Moderate Resolution Imaging Spectroradiometer images acquired between July 2004 and November 2005. The customized blending model was developed based on the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). Reflectance of the moderate-resolution image pixels on the target dates can be predicted more accurately by the proposed customized model than the original ESTARFM. Water level on the input image acquisition dates strongly affected the accuracy of the blended reflectance. It was found that either of the image sets used as prior or posterior inputs are required when the difference of water level between the prior or posterior date and target date at Poyang Hydrological Station is <2.68 m to achieve blending accuracy with a mean average absolute difference of 4% between the observed and blended reflectance in all spectral bands.
Year
DOI
Venue
2015
10.1080/17538947.2014.894146
INTERNATIONAL JOURNAL OF DIGITAL EARTH
Keywords
Field
DocType
time-series,Landsat TM,spatial-temporal reflectance,blending model,MODIS,multi-sensor
Thematic Mapper,Moderate-resolution imaging spectroradiometer,Remote sensing,Wetland,Pixel,Reflectivity,Image resolution,Geography,Water level,Cartography
Journal
Volume
Issue
ISSN
8.0
5.0
1753-8947
Citations 
PageRank 
References 
6
0.56
4
Authors
5
Name
Order
Citations
PageRank
Ryo Michishita160.90
Lifan Chen2181.72
Jin Chen325931.87
Xiaolin Zhu49014.50
Bin Xu513323.23