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Person

John W Jones

Research Geographer, RGE, Hydrologic Remote Sensing Branch

Email: jwjones@usgs.gov
Office Phone: 703-994-3224
ORCID: 0000-0001-6117-3691

Location
11649 Leetown Road
Kearneysville , WV 25430
US
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Spectra are shown for dominant Everglades marshland covers of sawgrass ( Cladium jamaicense) and periphyton as well as common woody plants that boarder Everglades marshlands: willow ( Salix carliniana) and buttonbush ( Cephalanthus occidentalis). Three worksheets are provided in the file. The first (named Graphics) shows the data in line chart form. The second (ASD) shows the spectra in tabular form as collected by the instrument with values in nanometer regions 1800-1962 and 2400-2500 filtered out to reduce noise caused by atmospheric conditions. The third (TM5) contains the spectra as resampled to Landsat Thematic Mapper 5 bands to simulate what would be recorded by Landsat for those land covers. Two tables (nanometers...
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A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform other types of simulations such as water-temperature, hydrodynamic, and ecosystem-dynamics simulations.
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Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version...
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The Southeastern United States spans a broad range of physiographic settings and maintains exceptionally high levels of faunal diversity. Unfortunately, many of these ecosystems are increasingly under threat due to rapid human development, and management agencies are increasingly aware of the potential effects that climate change will have on these ecosystems. Natural resource managers and conservation planners can be effective at preserving ecosystems in the face of these stressors only if they can adapt current conservation efforts to increase the overall resilience of the system. Climate change, in particular, challenges many of the basic assumptions used by conservation planners and managers. Previous conservation...
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This dataset shows land cover in the Upper Oconee watershed. The data layer primarily uses the 2011 National Land Cover Database (NLCD) but was manually edited to include 2,219 additional reservoirs. The reservoirs were identified and digitized using 2010 National Aerial Imagery Program (NAIP) imagery.
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