| Land | |
| Mapping Vegetation Morphology Types in Southern Africa Savanna Using MODIS Time-Series Metrics: A Case Study of Central Kalahari, Botswana | |
| Niti B. Mishra1  Kelley A. Crews2  Jennifer A. Miller2  Thoralf Meyer2  | |
| [1] Department of Geography & the Environment, University of Texas, Austin, 305 E 23rd St, CLA 3.306, Austin, TX 78712, USA; | |
| 关键词: semi-arid savanna; vegetation morphology; NDVI; MODIS time-series; random forest; spatial heterogeneity; CKGR; Kalahari; | |
| DOI : 10.3390/land4010197 | |
| 来源: mdpi | |
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【 摘 要 】
Savanna ecosystems are geographically extensive and both ecologically and economically important; they therefore require monitoring over large spatial extents. There are, in particular, large areas within southern Africa savanna ecosystems that lack consistent geospatial data on vegetation morphological properties, which is a prerequisite for biodiversity conservation and sustainable management of ecological resources. Given the challenges involved in distinguishing and mapping savanna vegetation assemblages using remote sensing, the objective of this study was to develop a vegetation morphology map for the largest protected area in Africa, the central Kalahari. Six vegetation morphology classes were developed and sample training/validation pixels were selected for each class by analyzing extensive
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190015513ZK.pdf | 2741KB |
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