Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs11141638 |
Optimized Stratification for Mapping Riparian Vegetation in Arid and Semiarid Environments | |
McGwire, Kenneth C. | |
通讯作者 | McGwire, Kenneth C. |
来源期刊 | REMOTE SENSING
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ISSN | 2072-4292 |
出版年 | 2019 |
卷号 | 11期号:14 |
英文摘要 | This paper describes a method of mapping riparian vegetation in semi-arid to arid environments using the Landsat normalized difference vegetation index (NDVI). The method successfully identified a range of riparian community types across the entire state of Nevada, USA, which spans 7 degrees of latitude and almost 4000 m of elevation. The landscape was stratified into units of similar elevation and solar exposure, and riparian areas were identified as having anomalously high NDVI within a local neighborhood. Thousands of calibration points were used in a simplex optimization to select the spatial neighborhood, the elevation and insolation strata, the minimum NDVI to be considered as potentially riparian, the number of standard deviations from the mean for an anomaly to be classified as riparian, and a limit on upslope position. Mapping of subpixel riparian corridors was improved by applying a directional high-pass filter to the NDVI data. Irrigated areas in agricultural and urban areas were removed based on land ownership maps and manual editing. The final map was tested with 400 independent test points: producer's accuracy was 84.6% and user's accuracy was 93.5%. This method should be broadly useful for mapping riparian features across large and complex regions with arid to semi-arid environments. |
英文关键词 | Landsat NDVI rangelands wetlands streams riparian |
类型 | Article |
语种 | 英语 |
国家 | USA |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000480527800008 |
WOS关键词 | ZONES ; WATER ; DELINEATION ; ECOSYSTEMS ; INDICATORS ; DIVERSITY ; CLIMATE ; AREAS ; NDVI |
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 |
来源机构 | Desert Research Institute |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218394 |
作者单位 | Desert Res Inst, Reno, NV 89512 USA |
推荐引用方式 GB/T 7714 | McGwire, Kenneth C.. Optimized Stratification for Mapping Riparian Vegetation in Arid and Semiarid Environments[J]. Desert Research Institute,2019,11(14). |
APA | McGwire, Kenneth C..(2019).Optimized Stratification for Mapping Riparian Vegetation in Arid and Semiarid Environments.REMOTE SENSING,11(14). |
MLA | McGwire, Kenneth C.."Optimized Stratification for Mapping Riparian Vegetation in Arid and Semiarid Environments".REMOTE SENSING 11.14(2019). |
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