A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands
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DOI：
10.3390/w13182487
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发表时间：
2021-09-01
期刊：
影响因子：
3.4
通讯作者：
Yin, Zeda
中科院分区：
文献类型：
--
作者：
Bian, Linlong;Melesse, Assefa M.;Yin, Zeda
湿地在缓解洪水方面发挥着重要作用。遥感技术作为一种高效、准确的方法，在湿地资源的定量研究中得到了广泛的应用。监督分类是传统的应用遥感技术，以提高湿地划定的精度。然而，执行监督分类需要准备训练数据，这也被认为是耗时的，并且容易出现人为错误。本文提出了一种确定性的地形湿地指数划定湿地淹没区，而不进行监督分类。选取归一化植被指数、归一化水分指数和地形湿度指数等经典方法与确定性地形方法进行湿地划定精度比较。利用谷歌卫星图像验证的四个不同年份的地面实况样本点评估划界的总体准确性。结果表明，确定性地形湿地指数具有最高的整体精度（98.90%）和Kappa系数（0.641）在本研究中所选择的方法。本文的研究结果将提供一种替代方法，通过单独使用激光雷达衍生的数字高程模型快速划定湿地。
Wetlands play a significant role in flood mitigation. Remote sensing technologies as an efficient and accurate approach have been widely applied to delineate wetlands. Supervised classification is conventionally applied for remote sensing technologies to improve the wetland delineation accuracy. However, performing supervised classification requires preparing the training data, which is also considered time-consuming and prone to human mistakes. This paper presents a deterministic topographic wetland index to delineate wetland inundation areas without performing supervised classification. The classic methods such as Normalized Difference Vegetation Index, Normalized Difference Water Index, and Topographic Wetness Index were chosen to compare with the proposed deterministic topographic method on wetland delineation accuracy. The ground truth sample points validated by Google satellite imageries from four different years were used for the assessment of the delineation overall accuracy. The results show that the proposed deterministic topographic wetland index has the highest overall accuracy (98.90%) and Kappa coefficient (0.641) among the selected approaches in this study. The findings of this paper will provide an alternative approach for delineating wetlands rapidly by using solely the LiDAR-derived Digital Elevation Model.