DocumentCode
29939
Title
Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands
Author
Xihan Mu ; Shuai Huang ; Huazhong Ren ; Guangjian Yan ; Wanjuan Song ; Gaiyan Ruan
Author_Institution
Res. Center for Remote Sensing & GIS, Beijing Normal Univ., Beijing, China
Volume
8
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
439
Lastpage
446
Abstract
Fractional vegetation cover (FVC) is one of the most important criteria for surface vegetation status. This criterion corresponds to the complement of gap fraction unity at the nadir direction and accounts for the amount of horizontal vegetation distribution. This study aims to directly validate the accuracy of FVC products over crops at coarse resolutions (1 km) by employing field measurements and high-resolution data. The study area was within an oasis in the Heihe Basin, Northwest China, where the Heihe Watershed Allied Telemetry Experimental Research was conducted. Reference FVC was generated through upscaling, which fitted field-measured data with spaceborne and airborne data to retrieve high-resolution FVC, and then high-resolution FVC was aggregated with a coarse scale. The fraction of green vegetation cover product (i.e., GEOV1 FVC) of SPOT/VEGETATION data taken during the GEOLAND2 project was compared with reference data. GEOV1 FVC was generally overestimated for crops in the study area compared with our estimates. Reference FVC exhibits a systematic uncertainty, and GEOV1 can overestimate FVC by up to 0.20. This finding indicates the necessity of reanalyzing and improving GEOV1 FVC over croplands.
Keywords
geophysical image processing; vegetation; vegetation mapping; FVC products; GEOLAND2 project; GEOV1 fractional vegetation cover; Heihe Watershed Allied Telemetry Experimental Research; Heihe basin; Northwest China; SPOT-VEGETATION data; airborne data; coarse-resolution remote sensing images; croplands; gap fraction unity; green vegetation cover product; horizontal vegetation distribution; nadir direction; spaceborne data; surface vegetation status; Earth; Land surface; Remote sensing; Satellites; Sensors; Spatial resolution; Vegetation mapping; Coarse resolution; SPOT/VEGETATION; fractional vegetation cover; product validation;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2014.2342257
Filename
6879249
Link To Document