ArticleInternational journal of remote sensing2019
The potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States.
Article in International journal of remote sensing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Climate Change Will Impact Surface Water Extents and Dynamics Across the Central United States.Earth's future · 2024Article
- A call for consistency and integration in global surface water estimates.Environmental research letters : ERL [Web site] · 2024Article
- Mapping global non-floodplain wetlands.Earth system science data · 2023Article
- High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017-2021).Remote sensing of environment · 2023Article
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States.Earth-science reviews · 2022Article
- Vulnerable Waters are Essential to Watershed Resilience.Ecosystems (New York, N.Y.) · 2022Article
- Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series.Sensors (Basel, Switzerland) · 2021Article
- Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana.Hydrology and earth system sciences · 2019Article
- Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review.Environmental science & technology · 2019Review
- Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine.Remote sensing of environment · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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.
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Registered trials
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