2005 Progress Report: GIS and Terrestrial Remote Sensing

EPA Grant Number: R829458C007
Subproject: this is subproject number 007 , established and managed by the Center Director under grant R829458
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).

Center: EAGLES - Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico
Center Director: Brouwer, Marius
Title: GIS and Terrestrial Remote Sensing
Investigators: Yang, Xiaojun
Institution: University of Southern Mississippi
EPA Project Officer: Hiscock, Michael
Project Period: December 1, 2001 through November 30, 2005
Project Period Covered by this Report: December 1, 2004 through November 30, 2005
RFA: Environmental Indicators in the Estuarine Environment Research Program (2000) RFA Text |  Recipients Lists
Research Category: Water , Ecosystems , Ecological Indicators/Assessment/Restoration

Progress Summary:

During this reporting period, we conducted research on non-point source pollution modeling. This includes a pilot study in a small watershed and an extended study considering the entire Pensacola estuarine watershed. The aim was to simulate the generation and transport of pollutants in overland flow to waterways (and finally the receiving basin) by using the Agricultural Non-point Source Pollution Model (AGNPS). The pilot study was undertaken for a complete sub-basin (610 km2 in size) within the Pensacola estuarine watershed. This model has three major output products: runoff, erosion, and total nitrogen . We validated the model with real measurements dated on September 25, 2002. We also tested the model performance at four different levels of spatial resolution, namely, 45 m, 60 m, 75 m, 90 m, and 105 m. This part of work has been very computationally intensive (30 m does not work; program crashed). We also considered different rainfall conditions—return periods (5, 10, 50 years). The pilot work was quite successful. Starting from late 2005, we have been extending the geographic dimension of non-point source pollution modeling into the entire Pensacola estuarine drainage area while considering several different watershed management scenarios. We also investigate the scale impacts upon non-point pollution modeling through the simulations undertaken at different levels of spatial resolution. This involves the use of a land cover transition model being loosely coupled with the AGNPS . We reported our preliminary work on non-point source pollution at the 102nd Annual Meeting of the Association of American Geographers on March 11, 2006, Chicago.

The special International Journal of Remote Sensing (IJRS) edition (see below) highlights the remote sensing and GIS research primarily conducted by investigators from the U.S. Environmental Protection Agency (EPA) Estuarine and Great Lakes (EaGLe) Research Program. Investigators from four major EaGLe centers and EPA headquarter have contributed to this issue. All papers collected in this issue were peer-reviewed using the established procedures and criteria by IJRS. IJRS is a leading international journal in remote sensing.


Journal Articles on this Report : 5 Displayed | Download in RIS Format

Other subproject views: All 17 publications 8 publications in selected types All 8 journal articles
Other center views: All 171 publications 54 publications in selected types All 48 journal articles
Type Citation Sub Project Document Sources
Journal Article Yang X, Liu Z. Quantifying landscape pattern and its change in an estuarine watershed using satellite imagery and landscape metrics. International Journal of Remote Sensing 2005;26(23):5297-5323. R829458C007 (2004)
R829458C007 (2005)
  • Abstract: Informa World Abstract
    Exit
  • Journal Article Yang XJ. Remote sensing and GIS applications for estuarine ecosystem analysis:an overview. International Journal of Remote Sensing 2005;26(23):5347-5356. R829458C007 (2004)
    R829458C007 (2005)
  • Abstract: Ingenta Connect Abstract
    Exit
  • Journal Article Yang X. Estimating landscape imperviousness with remotely sensed imagery. IEEE Geoscience and Remote Sensing Letters 2006;3(1):6-9. R829458C007 (2004)
    R829458C007 (2005)
  • Abstract: IEEE Abstract
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  • Journal Article Yang X, Liu Z. Use of satellite-derived landscape imperviousness index to characterize urban spatial growth. Computers, Environment and Urban Systems 2005; 29(5):524-540. R829458C007 (2003)
    R829458C007 (2004)
    R829458C007 (2005)
  • Abstract: Science Direct Abstract
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  • Journal Article Yang X, Liu Z. Using satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed. International Journal of Remote Sensing 2005;26(23):5275-5296. R829458C007 (2005)
  • Abstract: Informa World Abstract
    Exit
  • Supplemental Keywords:

    RFA, Scientific Discipline, ECOSYSTEMS, Geographic Area, Water, Ecosystem Protection/Environmental Exposure & Risk, Aquatic Ecosystems & Estuarine Research, estuarine research, Ecosystem/Assessment/Indicators, Aquatic Ecosystem, Aquatic Ecosystems, Ecological Monitoring, Environmental Monitoring, Ecology and Ecosystems, Gulf of Mexico, Ecological Indicators, monitoring, ecoindicator, ecological exposure, remote sensing, estuaries, estuarine integrity, Mobile Bay, Galveston Bay, CEER-GOM, estuarine ecoindicator, environmental indicators, environmental stress, estuarine waters, restoration, water quality, GIS

    Relevant Websites:

    http://www.usm.edu/gcrl/ceer_gom/ Exit

    Progress and Final Reports:

    Original Abstract
  • 2002 Progress Report
  • 2003 Progress Report
  • 2004 Progress Report
  • Final

  • Main Center Abstract and Reports:

    R829458    EAGLES - Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico

    Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
    R829458C001 Remote Sensing of Water Quality
    R829458C002 Microbial Biofilms as Indicators of Estuarine Ecosystem Condition
    R829458C003 Individual Level Indicators: Molecular Indicators of Dissolved Oxygen Stress in Crustaceans
    R829458C004 Data Management and Analysis
    R829458C005 Individual Level Indicators: Reproductive Function in Estuarine Fishes
    R829458C006 Collaborative Efforts Between CEER-GOM and U.S. Environmental Protection Agency (EPA)-Gulf Ecology Division (GED)
    R829458C007 GIS and Terrestrial Remote Sensing
    R829458C008 Macrobenthic Process Indicators of Estuarine Condition for the Northern Gulf of Mexico
    R829458C009 Modeling and Integration