ABSTRACT Satellite imagery has been widely used to delineate, map and monitor different wetland types. However, the influence of clouds and spectral confusion between wetlands and other land cover types has a negative effect on classification accuracies across nearly all methods. Most wetlands are topographic lowlands surrounded by uplands, and this study explores the possibilities of delineating wetlands from Digital Elevation Models (DEMs) using the cut-and-fill method. The objectives were: (1) to examine the possible use of the cut-and-fill method, which is commonly used in construction, to delineate different types of large floodplain wetlands, and (2) to compare the accuracy of the cut-and-fill method with wetness indices commonly used for delineating wetlands from satellite images. Comparison between the cut-and-fill method, the Normalised Difference Water Index (NDWI) and the Modified Normalised Water Difference Index (MNDWI) showed that the cut-and-fill method was superior in terms of overall accuracy and kappa statistics while the NDWI was the poorest of the three methods. The study concluded that the cut-and-fill method can be useful in delineating wetland areas, especially for wetlands in confined valley settings and where cloud-free images are not available.

中文翻译：

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使用数字高程模型 (DEM) 通过挖填法描绘湿地区域

摘要 卫星图像已被广泛用于描绘、绘制和监测不同类型的湿地。然而，湿地和其他土地覆盖类型之间的云和光谱混淆的影响对几乎所有方法的分类精度都有负面影响。大多数湿地是被高地包围的地形低地，本研究探讨了使用挖填法根据数字高程模型 (DEM) 描绘湿地的可能性。目的是：(1) 检验施工中常用的挖填法的可能用途，以划定不同类型的大型漫滩湿地，以及 (2) 比较挖方和填方的准确性。 - 使用湿度指数填充方法，通常用于从卫星图像中描绘湿地。挖填法比较，归一化水差指数 (NDWI) 和修正归一化水差指数 (MNDWI) 表明，挖填法在总体准确度和 kappa 统计方面更优，而 NDWI 是三种方法中最差的。该研究得出的结论是，挖填法可用于划定湿地区域，尤其是在狭窄的山谷环境中以及无法获得无云图像的湿地。