利用多源数据确定季节性咸水湖湿地自然边界的方法

A Method for Determining the Natural Boundary of Seasonal Saltwater Lake Wetland with Multi-source Data

以宁夏盐池为例,探讨了利用面向对象的高分影像、数字高程模型(digital elevation model,DEM)等多源数据确定季节性咸水湖湿地自然边界的方法。以高分遥感影像、激光探测与测量(light detection and ranging,LiDAR)数据插值生成的高空间分辨率DEM、地理国情普查数据、第二次全国湿地资源调查数据为数据源,选取LBV变换特征、归一化差分植被指数(normalized difference vegetation index,NDVI)、高程值、坡度等特征,构建决策规则模型,获得季节性咸水湖湿地自然边界,并分析了不同高空间分辨率的DEM对边界提取结果的影响。实验结果表明,与无DEM数据参与提取的结果相比,合适的高空间分辨率DEM参与季节性咸水湖湿地自然边界提取,能有效提高其边界定位精度。

We explore the method for object-oriented seasonal saltwater lake wetland natural boundary location using multi-source data including high-resolution remote sensing images,DEM(digital elevation model)and so on,taking Yanchi County of Ningxia Province as an example.Taking high-resolution remote sensing images,high spatial resolution DEM generated by LiDAR(light detection and ranging)data,general investigation data on geography and national status and the second national wetland resources investigation data as data sources,we construct the decision rule model with the LBV transform features,NDVI(normalized difference vegetation index),DEM,slope and other features and execute to get the seasonal saltwater lake wetlands natural boundary.Then we analyze the impact of DEM in different spatial resolutions in seasonal saltwater lake wetland boundary extraction.Experimental results show that DEMs participation in appreciate high spatial resolution in seasonal saltwater lake wetland natural boundary extraction can improve the accuracy of boundary location.