首页> 外文会议>International Symposium on GlobWetland >EVALUATION OF DIFFERENT METHODS FOR DELINEATION OF WETLANDS IN LIMPOPO RIVER BASIN USING LANDSAT ETM+ AND SRTM DATA
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EVALUATION OF DIFFERENT METHODS FOR DELINEATION OF WETLANDS IN LIMPOPO RIVER BASIN USING LANDSAT ETM+ AND SRTM DATA

机译:利用Landsat ETM +和SRTM数据评估利用Limpopo河流域湿地描绘的不同方法

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The International Water Management Institute (IWMI) has embarked on Global wetland Mapping project (GWMP) using remote sensing and secondary data. The overarching goal of the GWMP is to map, characterize, and classify the wetlands of the world at various scales or pixel resolutions through wide range of partnerships including the Ramsar Convention. Given the complexity and costs involved in mapping vast areas, the need to develop methods using freely available data was a top priority. In this paper different methods applied for wetland delineation will be discussed. Landsat ETM+ 30m and SRTM 90m data. The Landsat 30m data for nominal year 2000 and the SRTM data, both having global coverage, were selected so the methods developed at one location can be applied elsewhere. The methodology was developed for the Limpopo river basin in Southern Africa which is one of the major trans-boundary basins within the Southern African Region that occurs in four countries: South Africa, Mozambique, Zimbabwe and Botswana. Automated and semi-automated methods were investigated for delineating wetland boundaries. In the automated approach different threshold values of (a) slope derived from SRTM, (b) Tasseled-cap Wetness Index (TCVI), (c) Normalized Difference Water Index (NDWI), (d) multi-band vegetation indices (MBVIs), (e) two band vegetation indices (TBVIs), and (f) Normalized Difference Vegetation Index (NDVI) were used to separate wetlands from non-wetlands. However, the best of these indices provided only an accuracy of less than 30 percent with high levels of errors of omissions and commissions. Semi-automated techniques involved image enhancement, display, and digitizing techniques. Screen digitizing on wetland boundaries was performed on color enhanced images. Accuracy of such delineation, based on ground- truth data, was 86.4 percent; with an additional 7.7 percent of ground-truth points falling within 1 pixel (30m) of wetland area. The total wetland area in the Limpopo river basin was 5.2 million hectares (12.5 percent of total basin area which is 41.5 million hectares).
机译:国际水管理学院(IWMI)已经开始使用遥感和次要数据的全球湿地映射项目(GWMP)。 GWMP的总体目标是通过各种伙伴关系在各种尺度或像素分辨率下映射,表征和分类世界的湿地,包括Ramsar公约。鉴于绘图庞大领域的复杂性和成本,使用自由可用数据开发方法的需要是一个首要任务。本文将讨论应用于湿地描绘的不同方法。 LANDSAT ETM + 30M和SRTM 90M数据。选择标称年度2000年的Landsat 30M数据和具有全局覆盖的SRTM数据,因此可以在其他地方应用在一个位置开发的方法。该方法是为南部非洲的林帕河流域而开发的方法,是南部非洲地区的主要跨界盆地之一,发生在四个国家:南非,莫桑比克,津巴布韦和博茨瓦纳。研究了自动化和半自动方法,用于描绘湿地边界。在自动方法中,(a)源自SRTM的不同阈值(a)斜率,(b)流苏帽湿度指数(Tcvi),(c)归一化差水指数(ndwi),(d)多频带植被指数(Mbvis) ,(e)两个带植被指数(TBVI)和(F)归一化差异植被指数(NDVI)用于将湿地与非湿地分离。然而,这些指数中最好的只需的准确性低于30%,遗漏和佣金的误差高。半自动技术涉及图像增强,显示和数字化技术。在湿地边界上进行屏幕数字化在彩色增强图像上进行。根据地面真实数据,这种描绘的准确性为86.4%;额外7.7%的地面真值落在湿地区域的1个像素(30米)范围内。林蛙河流域的总湿地面积为520万公顷(盆地地区的12.5%,为4150万公顷)。

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