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: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
  name:
    name part: Nasrollahi, Nasrin.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 68 p. 41 illus., 38 illus. in color. online resource.
  abstract: This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space. Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved. The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.
  table of contents: Introduction to the Current States of Satellite Precipitation Products -- False Alarm in Satellite Precipitation Data -- Satellite Observations -- Reducing False Rain in Satellite Precipitation Products Using CloudSat Cloud Classification Maps and MODIS Multi-Spectral Images -- Integration of CloudSat Precipitation Profile in Reduction of False Rain -- Cloud Classification and its Application in Reducing False Rain -- Summary and Conclusions.
  note: by Nasrin Nasrollahi.
  subject:
    topic: Earth sciences
  subject:
    topic: Meteorology
  subject:
    topic: Atmospheric sciences
  subject:
    topic: Geophysics
  subject:
    topic: Environmental sciences
  subject:
    topic: Earth Sciences
  subject:
    topic: Atmospheric Sciences
  subject:
    topic: Geophysics and Environmental Physics
  subject:
    topic: Meteorology
  subject:
    topic: Environmental Physics
  classification: QC851-999
  classification: 551.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319120812
  identifier: http://dx.doi.org/10.1007/978-3-319-12081-2
  record info:
    record creation date: 141107
    record change date: 20151030111409.0
    record identifier: 978-3-319-12081-2