Vanderhoof Melanie K, Lane Charles R
U.S. Geological Survey, Geosciences and Environmental Change Science Center, Denver, CO, USA.
U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH, USA.
Int J Remote Sens. 2019 May 1;40(15):5768-5798. doi: 10.1080/01431161.2019.1582112.
Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could pro-vide additional data on surface water distribution and movement, missed by Landsat. We used the monthly Global Surface Water (GSW) Landsat product as well as surface water derived from Landsat imagery using a matched filtering algorithm (MF Landsat) to help consider how including partially inundated Landsat pixels as water influenced our findings. The PSHR outputs (and MF Landsat) were able to identify ~60-90% more surface water interactions between waterbodies, relative to the GSW Landsat product. However, regardless of Landsat source, by doc-umenting many smaller (<0.2 ha), inundated wetlands, the PSHR outputs modified our interpretation of wetland size distribution across the Prairie Pothole Region.
对流域水文至关重要的水生特征在规模上差异很大,从狭窄、浅的溪流到大型、深的湖泊。在本研究中,我们评估了草原坑洼地区的湿地、湖泊和河流系统,以探索与陆地卫星图像相比,全色锐化高分辨率(PSHR)图像在何处能够提供陆地卫星遗漏的有关地表水分布和流动的额外数据。我们使用了每月的全球地表水(GSW)陆地卫星产品以及使用匹配滤波算法从陆地卫星图像得出的地表水(MF陆地卫星),以帮助考虑将部分被淹没的陆地卫星像素视为水如何影响我们的研究结果。相对于GSW陆地卫星产品,PSHR输出(以及MF陆地卫星)能够识别出水体之间多约60 - 90%的地表水相互作用。然而,无论陆地卫星数据来源如何,通过记录许多较小(<0.2公顷)的被淹没湿地,PSHR输出改变了我们对草原坑洼地区湿地大小分布的解释。