Arid
DOI10.3390/rs70606510
Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa
Tewes, Andreas1,2; Thonfeld, Frank1,3; Schmidt, Michael4; Oomen, Roelof J.2; Zhu, Xiaolin5; Dubovyk, Olena1; Menz, Gunter1,3; Schellberg, Juergen1,2
通讯作者Tewes, Andreas
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2015
卷号7期号:6页码:6510-6534
英文摘要

Image time series of high temporal and spatial resolution capture land surface dynamics of heterogeneous landscapes. We applied the ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) algorithm to multi-spectral images covering two semi-arid heterogeneous rangeland study sites located in South Africa. MODIS 250 m resolution and RapidEye 5 m resolution images were fused to produce synthetic RapidEye images, from June 2011 to July 2012. We evaluated the performance of the algorithm by comparing predicted surface reflectance values to real RapidEye images. Our results show that ESTARFM predictions are accurate, with a coefficient of determination for the red band 0.80 < R-2 < 0.92, and for the near-infrared band 0.83 < R-2 < 0.93, a mean relative bias between 6% and 12% for the red band and 4% to 9% in the near-infrared band. Heterogeneous vegetation at sub-MODIS resolution is captured adequately: A comparison of NDVI time series derived from RapidEye and ESTARFM data shows that the characteristic phenological dynamics of different vegetation types are reproduced well. We conclude that the ESTARFM algorithm allows us to produce synthetic remote sensing images at high spatial combined with high temporal resolution and so provides valuable information on vegetation dynamics in semi-arid, heterogeneous rangeland landscapes.


类型Article
语种英语
国家Germany ; Australia ; USA
收录类别SCI-E
WOS记录号WOS:000357589800001
WOS关键词NDVI TIME-SERIES ; LANDSAT DATA ; REFLECTANCE ; VARIABILITY ; ENVIRONMENT ; PHENOLOGY ; IMAGERY ; COVER ; MODEL ; USA
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构Colorado State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/190165
作者单位1.Univ Bonn, Ctr Remote Sensing Land Surfaces, D-53113 Bonn, Germany;
2.Univ Bonn, Inst Crop Sci & Resource Conservat INRES, D-53115 Bonn, Germany;
3.Univ Bonn, Dept Geog, Remote Sensing Res Grp, D-53115 Bonn, Germany;
4.Ctr Remote Sensing, Environm & Resource Sci, Dept Sci Informat Technol Innovat & Arts, Brisbane, Qld 4001, Australia;
5.Colorado State Univ, Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA
推荐引用方式
GB/T 7714
Tewes, Andreas,Thonfeld, Frank,Schmidt, Michael,et al. Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa[J]. Colorado State University,2015,7(6):6510-6534.
APA Tewes, Andreas.,Thonfeld, Frank.,Schmidt, Michael.,Oomen, Roelof J..,Zhu, Xiaolin.,...&Schellberg, Juergen.(2015).Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa.REMOTE SENSING,7(6),6510-6534.
MLA Tewes, Andreas,et al."Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa".REMOTE SENSING 7.6(2015):6510-6534.
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