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Life Sciences Commons

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Forest Management

Stephen F. Austin State University

Series

2009

GIS

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Assessing Ecological Functions Of Bottomland Hardwood Wetlands Using Remote Sensing And Geographic Information Systems, Rachel Mcnamee, Hans Michael Williams, Kenneth W. Farrish, I-Kuai Hung, Daniel Unger Jan 2009

Assessing Ecological Functions Of Bottomland Hardwood Wetlands Using Remote Sensing And Geographic Information Systems, Rachel Mcnamee, Hans Michael Williams, Kenneth W. Farrish, I-Kuai Hung, Daniel Unger

Faculty Presentations

Bottomland hardwoods are one of the most rapidly diminishing wetland ecosystems due to agricultural clearing, development, and reservoir construction. As society has become more aware of the functions of wetlands, so has the importance in conservation of these valuable resources. The objective of this study was to compare the accuracy of Remote Sensing and GIS based functional assessment to the field based Hydrogeomorphic (HGM) approach. Remote sensing models were developed using a combination of soil maps, soil information, QuickBird ® multispectral satellite imagery, LiDAR derived Digital Elevation Model (DEM), and LiDAR derived Canopy Height Model. Results, although mixed, indicated that …


Integration Of Modified Universal Soil Loss Equation (Musle) Into A Gis Framework To Assess Soil Erosion Risk, Yanli Zhang, J. Degroote, Calvin Wolter, Ramanathan Sugumaran Jan 2009

Integration Of Modified Universal Soil Loss Equation (Musle) Into A Gis Framework To Assess Soil Erosion Risk, Yanli Zhang, J. Degroote, Calvin Wolter, Ramanathan Sugumaran

Faculty Publications

Soil erosion is an important economic and environmental concern throughout the world. In order to assess soil erosion risk and conserve water and soil resources, soil erosion modeling at the watershed scale is urgently needed. This study integrated the Modified Universal Soil Loss Equation (MUSLE) in a Geographic Information System (GIS) framework in the form of a tool called ArcMUSLE, an extension of ArcGIS® software, to assist soil and water conservation agencies in soil erosion risk assessment and prioritization of critical areas for soil erosion control practices. With widely available spatial data, this tool can be applied to determine curve …