Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/10106049.2013.868041 |
Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology | |
Mishra, Niti B.; Crews, Kelley A. | |
通讯作者 | Mishra, Niti B. |
来源期刊 | GEOCARTO INTERNATIONAL
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ISSN | 1010-6049 |
EISSN | 1752-0762 |
出版年 | 2014 |
卷号 | 29期号:8页码:860-877 |
英文摘要 | Focusing on the central Kalahari, this study utilized fractional cover of photosynthetic vegetation (f(PV)), non-photosynthetic vegetation (f(NPV)) and bare soil (f(BS)), derived in situ and estimated from GeoEye-1 imagery using Multiple End-member Spectral Mixture Analysis (MESMA) and object-based image analysis (OBIA) to determine superior method for fractional cover estimation and the impact of vegetation morphology on the estimation accuracy. MESMA mapped fractional cover by testing endmember models of varying complexity. Based on OBIA, image was segmented at five segmentation scales followed by classification. MESMA provided more accurate fractional cover estimates than OBIA. The increasing segmentation scale in OBIA resulted in a consistent increase in error. Different vegetation morphology types showed varied responses to the changing segmentation scale, reflecting their unique ecology and physiognomy. While areas under woody cover produced lower error even at coarse segmentation scales, those with herbaceous cover provided low error only at the fine segmentation scale. |
英文关键词 | semi-arid savanna fractional cover MESMA Object-based image analysis GeoEye |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000340495700004 |
WOS关键词 | MIXTURE ANALYSIS ; NONPHOTOSYNTHETIC VEGETATION ; ENDMEMBER SELECTION ; SAVANNA ; CLASSIFICATION ; SCALE ; ENVIRONMENTS ; ENCROACHMENT ; COMMUNITIES ; ECOSYSTEMS |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/182211 |
作者单位 | Univ Texas Austin, Dept Geog & Environm, Austin, TX 78712 USA |
推荐引用方式 GB/T 7714 | Mishra, Niti B.,Crews, Kelley A.. Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology[J],2014,29(8):860-877. |
APA | Mishra, Niti B.,&Crews, Kelley A..(2014).Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology.GEOCARTO INTERNATIONAL,29(8),860-877. |
MLA | Mishra, Niti B.,et al."Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology".GEOCARTO INTERNATIONAL 29.8(2014):860-877. |
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