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L. Monika Moskal

Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716300682): Wetlands are valuable ecosystems for maintaining biodiversity, but are vulnerable to climate change and land conversion. Despite their importance, wetland hydrology is poorly understood as few tools exist to monitor their hydrologic regime at a landscape scale. This is especially true when monitoring hydrologic change at scales below 30 m, the resolution of one Landsat pixel. To address this, we used spectral mixture analysis (SMA) of a time series of Landsat satellite imagery to reconstruct surface-water hydrographs for 750 wetlands in Douglas County, Washington State, USA, from 1984 to 2011. SMA estimates the fractional abundance...
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Wetlands provide critical services to natural and human communities alike, forming important wildlife habitat, storing and filtering water, sequestering carbon, and offering opportunities for recreation. Unfortunately, not only are these valuable ecosystems understudied compared to others, but they are also among the most sensitive to climate change. Climate change threatens wetlands by altering temperature and precipitation, which cause changes in water level and water temperature. Due to this threat, the international community and domestic agencies alike have highlighted the need to better understand wetlands in the face of climate change, from the Intergovernmental Panel on Climate Change, to the Ramsar Convention,...
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This dataset provides point locations of wetlands in the channeled scablands of Washington State. It was created through object based image analysis of high resolution imagery from 2006 and 2009. Each wetland location has an associated surface water hydrograph constructed from spectral mixture analysis of Landsat satellite imagery (1983 – 2011). Hydrologic data is stored in an associated csv file and can be linked to the data through a unique identifier (Wetland_ID). Additionally, individual surface water hydrographs for wetlands, in jpeg format, can be linked to wetland location through the unique identifier.
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This dataset delineates wetland ponds and emergent wetland vegetation in Mt. Rainier National Park. It was created through object based image analysis of high resolution imagery from 2006 and 2009 and LiDAR data acquired in the fall of 2008. Riparian wetlands are not included in this dataset. Accuracy is only verified for wetland ponds in the subalpine region. Forested wetlands, riparian wetlands, and emergent vegetation were only visually assessed. This data maps all wetland habitat, but was primarily used to locate and delineate amphibian habitat in Mt. Rainier National Park.
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