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Articles 1 - 18 of 18

Full-Text Articles in Forest Sciences

Comparison Of Terrain Indices And Landform Classification Procedures In Low-Relief Agricultural Fields, Derek A. Evans, Karl W. J. Williard, Jon E. Schoonover Jan 2016

Comparison Of Terrain Indices And Landform Classification Procedures In Low-Relief Agricultural Fields, Derek A. Evans, Karl W. J. Williard, Jon E. Schoonover

Journal of Geospatial Applications in Natural Resources

Landforms control the spatial distribution of numerous factors associated with agronomy and water quality. Although curvature and slope are the fundamental surface derivatives used in landform classification procedures, methodologies for landform classifications have been performed with other terrain indices including the topographic position index (TPI) and the convergence index (CI). The objectives of this study are to compare plan curvature, the convergence index, profile curvature, and the topographic position index at various scales to determine which better identifies the spatial variability of soil phosphorus (P) within three low relief agricultural fields in central Illinois and to compare how two methods …


Using Google Earth For Forest Management, Yanli Zhang, Jeremy P. Stovall Apr 2014

Using Google Earth For Forest Management, Yanli Zhang, Jeremy P. Stovall

Faculty Publications

No abstract provided.


Measuring Tree Height Using Pictometry Hyperspatial Imagery, Daniel Unger, David Kulhavy, Matthew A. Wade, I-Kuai Hung Jan 2014

Measuring Tree Height Using Pictometry Hyperspatial Imagery, Daniel Unger, David Kulhavy, Matthew A. Wade, I-Kuai Hung

Faculty Publications

Trees within Nacogdoches, Texas were measured for height using Pictometry hyperspatial imagery at 4 inch spatial resolution. Trees measured included baldcypress located on LaNana Creek as part of a hybrid analysis study. Baldcypress, Taxodiumdistichum, was planted along La Nana Creek, Nacogdoches, Texas, for erosion control and as a test bank for growth of the species genotypes. Each tree was located with GPS and entered into the GIS data base in the Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University. Actual tree height, measured using a height pole in 0.1 inch increments, was compared to …


Crowdsourcing With Arcgis Online For Natural Resources Management, Yanli Zhang, Matthew W. Mcbroom, Jason Grogan, Paul R. Blackwell Feb 2013

Crowdsourcing With Arcgis Online For Natural Resources Management, Yanli Zhang, Matthew W. Mcbroom, Jason Grogan, Paul R. Blackwell

Faculty Publications

No abstract provided.


Snapping A Pour Point For Watershed Delineation In Arcgis Hydrologic Analysis, Yanli Zhang, Matthew W. Mcbroom, Jason Grogan, I-Kuai Hung Sep 2011

Snapping A Pour Point For Watershed Delineation In Arcgis Hydrologic Analysis, Yanli Zhang, Matthew W. Mcbroom, Jason Grogan, I-Kuai Hung

Faculty Publications

No abstract provided.


Soil Erosion Modeling With The Modified Universal Soil Loss Equation, Yanli Zhang, Jason Grogan, I-Kuai Hung, Ramanathan Sugumaran Feb 2011

Soil Erosion Modeling With The Modified Universal Soil Loss Equation, Yanli Zhang, Jason Grogan, I-Kuai Hung, Ramanathan Sugumaran

Faculty Publications

No abstract provided.


Web-Based Spatial Decision Support System And Watershed Management With A Case Study, Yanli Zhang, Matthew W. Mcbroom, J. Degroote, R. L. Kauten, P. K. Barten Jan 2011

Web-Based Spatial Decision Support System And Watershed Management With A Case Study, Yanli Zhang, Matthew W. Mcbroom, J. Degroote, R. L. Kauten, P. K. Barten

Faculty Publications

In order to maintain a proper balance between development pressure and water resources protection, and also to improve public participation, efficient tools and techniques for soil and water conservation projects are needed. This paper describes the development and application of a web-based watershed management spatial decision support system, WebWMPI. The WebWMPI uses the Watershed Management Priority Indices (WMPI) approach which is a prioritizing method for watershed management planning and it integrates land use/cover, hydrological data, soils, slope, roads, and other spatial data. The land is divided into three categories: Conservation Priority Index (CPI) land, Restoration Priority Index (RPI) land, and …


Soil Viewer Extension Brings Soil Data To Your Gis, Jason Grogan, I-Kuai Hung, Yanli Zhang Aug 2010

Soil Viewer Extension Brings Soil Data To Your Gis, Jason Grogan, I-Kuai Hung, Yanli Zhang

Faculty Publications

No abstract provided.


Collecting Multiple Point Features Referenced To A Single Geographic Position In Arcpad, Jason Grogan, I-Kuai Hung, Yanli Zhang Apr 2010

Collecting Multiple Point Features Referenced To A Single Geographic Position In Arcpad, Jason Grogan, I-Kuai Hung, Yanli Zhang

Faculty Publications

No abstract provided.


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 …


Watershed Forest Management Information System (Wfmis), Yanli Zhang, P. K. Barten Jan 2008

Watershed Forest Management Information System (Wfmis), Yanli Zhang, P. K. Barten

Faculty Publications

Maintenance of a sustainable clean water supply is critical for our future. However, watershed degradation is a common phenomenon around the world that leads to poor water quality. In order to protect water resources, the Watershed Forest Management Information System (WFMIS), was developed as an extension of ArcGIS® and is described in this paper. There are three submodels to address nonpoint source pollution mitigation, road system management, and silvicultural operations, respectively. The Watershed Management Priority Indices (WMPI) is a zoning approach to prioritize critical areas for conservation and restoration management. It meets the critical need to spatially differentiate land cover …


Evaluating Forest Harvesting To Reduce Its Hydrologic Impact With A Spatial Decision Support System, Yanli Zhang, P. K. Barten, Ramanathan Sugumaran Jan 2008

Evaluating Forest Harvesting To Reduce Its Hydrologic Impact With A Spatial Decision Support System, Yanli Zhang, P. K. Barten, Ramanathan Sugumaran

Faculty Publications

Timber harvesting changes the condition of forest ecosystems, which are a major influence on the characteristics of headwater streams. Such characteristics include the quantity and timing of base flow and storm flow, concentrations of sediment and dissolved nutrients, water temperature, and the stability of the stream channels. This paper explores previous studies dealing with the relationship between timber harvesting and its hydrologic effects, especially long term water yield increase. The watershed disturbance threshold theory is raised and investigated in detail. The development and evaluation of a spatial decision support system, the Harvest Schedule Review System (HSRS), is then described. The …


Landscape Analysis Of George W. Pirtle Scout Reservation, David Kulhavy, Daniel Unger, Frank B. Shockley, Josh Bardwell Jan 2007

Landscape Analysis Of George W. Pirtle Scout Reservation, David Kulhavy, Daniel Unger, Frank B. Shockley, Josh Bardwell

Faculty Presentations

To assist in detecting change over time for the forested landscape of George W. Pirtle Scout Reservation, Panola County, Texas, digital ortho-photography imagery (acquired 1996 and 2004) were used to designate forest cover types and hazard rating for forest insects and diseases. Status of camp grounds was ascertained and recommendations made for management using the GIS database created for the camp.


Comparing The Accuracy Of Multi-Source Data Integration For Two Supervised Image Classification Methods: Maximum Likelihood And Artificial Neural Network, Hillary Tribby, Daniel Unger Jan 2006

Comparing The Accuracy Of Multi-Source Data Integration For Two Supervised Image Classification Methods: Maximum Likelihood And Artificial Neural Network, Hillary Tribby, Daniel Unger

Faculty Presentations

No abstract provided.


Remotely Sensed Data To Map Forest Age Class By Cover Type In East Texas, Daniel Unger, I-Kuai Hung, Jeffrey M. Williams, James Kroll, Dean W. Coble, Jason Grogan Oct 2005

Remotely Sensed Data To Map Forest Age Class By Cover Type In East Texas, Daniel Unger, I-Kuai Hung, Jeffrey M. Williams, James Kroll, Dean W. Coble, Jason Grogan

Faculty Publications

  • Remote sensing in conjunction with ground truthing, can accurately quantify forest composition and age distributions in East Texas.
  • Method uses standardized and readily available data available to the general public.
  • Method was shown to be effective in terms of time and cost.


Using Gis For Forest Recreation Planning On The Longleaf Ridge Special Area Of The Angelina National Forest, East Texas, I-Kuai Hung Dec 2002

Using Gis For Forest Recreation Planning On The Longleaf Ridge Special Area Of The Angelina National Forest, East Texas, I-Kuai Hung

Faculty Publications

Longleaf Ridge Special Area (LRSA) located in the Angelina National Forest is the westernmost example of a longleaf pine savanna community. Ecologically, the area is one of the most diverse communities in Texas. Due to its size, abundant natural and historical resources, numerous outdoor recreation opportunities exist. In this study, GIS was used to develop a forest recreation concept plan on LRSA. Most of the geospatial data came from public entities. Information for demand analysis on forest recreation was obtained from the 2000 National Survey on Recreation and the Environment database. U.S. Forest Service recreation fee envelope data were analyzed …


Comparison Of Presettlement And Present Vegetation Cover Of Marion County, Illinois Using A Geographic Information System, Daniel Unger Jan 1998

Comparison Of Presettlement And Present Vegetation Cover Of Marion County, Illinois Using A Geographic Information System, Daniel Unger

Faculty Presentations

The vegetation types of Marion County, Illinois prior to European settlement, which were derived from soil association surveys, were compared to a satellite map of current vegetation types to quantify their change over time. GIS analysis indicates that 10% of presettlement prairie is currently grassland, 2% of presettlement prairie has been converted to forest, 32% of original prairie has been converted to agriculture and urban use, 17% of presettlement forest remains intact, grassland comprises 18% of presettlement forest while 21% of presettlement forest has been converted to agricultural and urban use.