Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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ISSN | 2072-4292 |
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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