Literature DB >> 33408426

The potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States.

Melanie K Vanderhoof1, Charles R Lane2.   

Abstract

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.

Entities:  

Year:  2019        PMID: 33408426      PMCID: PMC7784670          DOI: 10.1080/01431161.2019.1582112

Source DB:  PubMed          Journal:  Int J Remote Sens        ISSN: 0143-1161            Impact factor:   3.151


  2 in total

1.  Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine.

Authors:  Qiusheng Wua; Charles R Lane; Xuecao Li; Kaiguang Zhao; Yuyu Zhou; Nicholas Clinton; Ben DeVries; Heather E Golden; Megan W Lang
Journal:  Remote Sens Environ       Date:  2019-07-01       Impact factor: 10.164

Review 2.  Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review.

Authors:  Heather E Golden; Adnan Rajib; Charles R Lane; Jay R Christensen; Qiusheng Wu; Samson Mengistu
Journal:  Environ Sci Technol       Date:  2019-06-20       Impact factor: 11.357

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.