rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Landscape Pattern Analysis for Assessing Ecosystem Condition
  name:
    name part: Johnson, Glen D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Patil, Ganapati P.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 130 p. 73 illus., 2 illus. in color. online resource.
  abstract: As we begin the 21st century, one of our greatest challenges is the preservation and remediation of ecosystem integrity. This requires monitoring and assessment over large geographic areas, repeatedly over time, and therefore cannot be practically fulfilled by field measurements alone. Remotely sensed imagery therefore plays a crucial role by its ability to monitor large spatially continuous areas. This technology increasingly provides extensive spatial-temporal data; however, the challenge is to extract meaningful environmental information from such extensive data. Landscape Pattern Analysis for Assessing Ecosystem Condition presents a new method for assessing spatial pattern in raster land cover maps based on satellite imagery in a way that incorporates multiple pixel resolutions. This is combined with more conventional single-resolution measurements of spatial pattern and simple non-spatial land cover proportions to assess predictability of both surface water quality and ecological integrity within watersheds of the state of Pennsylvania (USA). The efficiency of remote sensing for rapidly assessing large areas is realized through the ability to explain much of the variability of field observations that took several years and many people to obtain.
  table of contents: Methods for Quantitative Characterization of Landscape Pattern -- Illustrations -- Classifying Pennsylvania Watersheds on the Basis of Landscape Characteristics -- Predictability of Surface Water Pollution in Pennsylvania Using Watershed-Based Landscape Measurements -- Predictability of Bird Community-Based Ecological Integrity Using Landscape Variables -- Summary and Future Directions -- References.
  note: by Glen D. Johnson, Ganapati P. Patil.
  subject:
    topic: Life sciences
  subject:
    topic: Geographical information systems
  subject:
    topic: Remote sensing
  subject:
    topic: Landscape ecology
  subject:
    topic: Statistics
  subject:
    topic: Ecotoxicology
  subject:
    topic: Life Sciences
  subject:
    topic: Landscape Ecology
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Ecotoxicology
  subject:
    topic: Environmental Monitoring/Analysis
  classification: QH541.15.L35
  classification: 577
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Environmental and Ecological Statistics ; 1
  identifier: 9780387376851
  identifier: http://dx.doi.org/10.1007/978-0-387-37685-1
  record info:
    record creation date: 100301
    record change date: 20151204172113.0
    record identifier: 978-0-387-37685-1