Predicting aquatic macrophyte modeling of a new freshwater lake using remote sensing

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Par Pond and L Lake are reservoirs on the Savannah River Site in South Carolina. Beds of aquatic macrophytes (primarily cattail and waterlilies) exist in Par Pond and are now beginning to develop in L Lake. Biophysical knowledge about Par Pond was used to develop environmental constraint criteria' to predict the future spatial distribution of aquatic macrophytes in L Lake. The L Lake biophysical data were placed in a 5 {times} 5 m raster geographic information system (GIS) and analyzed using Boolean logic. Areas in L Lake which were {le}4 m in depth, {le}10% slope, had a fetch of {le}500 ... continued below

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Pages: (16 p)

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Jensen, J.R.; Narumalani, S.; Weatherbee, O.; Morris, K.S. Jr. (South Carolina Univ., Columbia, SC (United States). Dept. of Geography) & Mackey, H.E. Jr. (Westinghouse Savannah River Co., Aiken, SC (United States)) January 1, 1992.

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Description

Par Pond and L Lake are reservoirs on the Savannah River Site in South Carolina. Beds of aquatic macrophytes (primarily cattail and waterlilies) exist in Par Pond and are now beginning to develop in L Lake. Biophysical knowledge about Par Pond was used to develop environmental constraint criteria' to predict the future spatial distribution of aquatic macrophytes in L Lake. The L Lake biophysical data were placed in a 5 {times} 5 m raster geographic information system (GIS) and analyzed using Boolean logic. Areas in L Lake which were {le}4 m in depth, {le}10% slope, had a fetch of {le}500 m, and on suitable soil were identified. The final GIS model predicted the spatial distribution of 37.30 ha of aquatic macrophytes which met the environmental constraint criteria (cattails = 12.29 ha and waterlilies = 25.01 ha).

Physical Description

Pages: (16 p)

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OSTI; NTIS; GPO Dep.

Source

  • 1992 American Society for Photogrammetry and Remote Sensing/American Congress on Surveying and Mapping (ASPRS/ACSM) annual convention, Albuquerque, NM (United States), 3-5 Mar 1992

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  • Other: DE92015333
  • Report No.: WSRC-MS-92-031
  • Report No.: CONF-920332--3
  • Grant Number: AC09-89SR18035
  • Office of Scientific & Technical Information Report Number: 5118330
  • Archival Resource Key: ark:/67531/metadc1056268

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  • January 1, 1992

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  • Jan. 22, 2018, 7:23 a.m.

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  • Feb. 1, 2018, 7:08 p.m.

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Jensen, J.R.; Narumalani, S.; Weatherbee, O.; Morris, K.S. Jr. (South Carolina Univ., Columbia, SC (United States). Dept. of Geography) & Mackey, H.E. Jr. (Westinghouse Savannah River Co., Aiken, SC (United States)). Predicting aquatic macrophyte modeling of a new freshwater lake using remote sensing, article, January 1, 1992; Aiken, South Carolina. (digital.library.unt.edu/ark:/67531/metadc1056268/: accessed November 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.