Remote Sensing | |
Comparing the Dry Season |
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Manuel J. Mayr1  Cyrus Samimi1  Xin Li2  Yuei-An Liou2  Qinhuo Liu2  Heiko Balzter2  | |
[1] Department of Geography, University of Bayreuth, Universitätsstr. 30, 95447 Bayreuth, Germany; E-Mail:;Department of Geography, University of Bayreuth, Universitätsstr. 30, 95447 Bayreuth, Germany; E-Mail | |
关键词: dry season; savanna; Leaf Area Index; vegetation pattern; RapidEye; MOD15A2; empirical modeling; Namibia; | |
DOI : 10.3390/rs70404834 | |
来源: mdpi | |
【 摘 要 】
The Leaf Area Index (LAI) is one of the most frequently applied measures to characterize vegetation and its dynamics and functions with remote sensing. Satellite missions, such as NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) operationally produce global datasets of LAI. Due to their role as an input to large-scale modeling activities, evaluation and verification of such datasets are of high importance. In this context, savannas appear to be underrepresented with regards to their heterogeneous appearance (e.g., tree/grass-ratio, seasonality). Here, we aim to examine the LAI in a heterogeneous savanna ecosystem located in Namibia’s Owamboland during the dry season. Ground measurements of LAI are used to derive a high-resolution LAI model with RapidEye satellite data. This model is related to the corresponding MODIS LAI/FPAR (Fraction of Absorbed Photosynthetically Active Radiation) scene (MOD15A2) in order to evaluate its performance at the intended annual minimum during the dry season. Based on a field survey we first assessed vegetation patterns from species composition and elevation for 109 sites. Secondly, we measured
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190013697ZK.pdf | 1624KB | download |