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: Spectral Mixture for Remote Sensing
    sub title: Linear Model and Applications
  name:
    name part: Shimabukuro, Yosio Edemir.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ponzoni, Flávio Jorge.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 80 p. 38 illus., 27 illus. in color. online resource.
  abstract: This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modeling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon region. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing. Chapter 1 addresses the basic concepts of spectral mixing, while chapters 2 and 3 discuss digital numbers and orbital sensors such as MODIS and Landsat MSS. Chapter 4 details the linear spectral mixing model, and chapter 5 explains the use of this technique to create fraction images. Chapter 6 offers remote sensing applications of fraction images in deforestation monitoring, burned-area mapping, selective logging detection, and land-use/land-cover mapping. Chapter 7 gives some concluding thoughts on spectral mixing, and considers future uses in environmental remote sensing. This book will be of interest to students, teachers, and researchers using remote sensing for Earth observation and environmental modeling.
  table of contents: Chapter1: Basic concepts -- Chapter2: The origin of digital numbers (DN) -- Chapter3: Orbital sensors -- Chapter4: Linear spectral mixing model -- Chapter5: Fraction images -- Chapter6: Applications of fraction images -- Chapter7: Final considerations.
  note: by Yosio Edemir Shimabukuro, Flávio Jorge Ponzoni.
  subject:
    topic: Remote sensing
  subject:
    topic: Physical geography
  subject:
    topic: Environmental monitoring
  subject:
    topic: Optical data processing
  subject:
    topic: Computer simulation
  subject:
    topic: Lasers
  subject:
    topic: Photonics
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Physical Geography
  subject:
    topic: Monitoring/Environmental Analysis
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Optics, Lasers, Photonics, Optical Devices
  classification: GA102.4.R44
  classification: G70.39-70.6
  classification: 910.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Remote Sensing/Photogrammetry
  identifier: 9783030020170
  identifier: https://doi.org/10.1007/978-3-030-02017-0
  record info:
    record creation date: 181110
    record change date: 20191021202734.0
    record identifier: 978-3-030-02017-0