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Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery.

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Title: Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery.
Authors: Schepaschenko, Dmitry1 (AUTHOR) schepd@iiasa.ac.at, See, Linda1 (AUTHOR), Lesiv, Myroslava1 (AUTHOR), Bastin, Jean-François2,3 (AUTHOR), Mollicone, Danilo2 (AUTHOR), Tsendbazar, Nandin-Erdene4 (AUTHOR), Bastin, Lucy5,6 (AUTHOR), McCallum, Ian1 (AUTHOR), Laso Bayas, Juan Carlos1 (AUTHOR), Baklanov, Artem1,7 (AUTHOR), Perger, Christoph1 (AUTHOR), Dürauer, Martina1 (AUTHOR), Fritz, Steffen1 (AUTHOR)
Source: Surveys in Geophysics. Jul2019, Vol. 40 Issue 4, p839-862. 24p.
Subject Terms: *Forest management, *Forest monitoring, *Estimation theory, *Automatic classification, *Deforestation, *Time series analysis
Company/Entity: Food & Agriculture Organization of the United Nations
Abstract: The land area covered by freely available very high-resolution (VHR) imagery has grown dramatically over recent years, which has considerable relevance for forest observation and monitoring. For example, it is possible to recognize and extract a number of features related to forest type, forest management, degradation and disturbance using VHR imagery. Moreover, time series of medium-to-high-resolution imagery such as MODIS, Landsat or Sentinel has allowed for monitoring of parameters related to forest cover change. Although automatic classification is used regularly to monitor forests using medium-resolution imagery, VHR imagery and changes in web-based technology have opened up new possibilities for the role of visual interpretation in forest observation. Visual interpretation of VHR is typically employed to provide training and/or validation data for other remote sensing-based techniques or to derive statistics directly on forest cover/forest cover change over large regions. Hence, this paper reviews the state of the art in tools designed for visual interpretation of VHR, including Geo-Wiki, LACO-Wiki and Collect Earth as well as issues related to interpretation of VHR imagery and approaches to quality assurance. We have also listed a number of success stories where visual interpretation plays a crucial role, including a global forest mask harmonized with FAO FRA country statistics; estimation of dryland forest area; quantification of deforestation; national reporting to the UNFCCC; and drivers of forest change. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 137472449
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  Data: Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery.
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  Data: <searchLink fieldCode="JN" term="%22Surveys+in+Geophysics%22">Surveys in Geophysics</searchLink>. Jul2019, Vol. 40 Issue 4, p839-862. 24p.
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  Data: *<searchLink fieldCode="DE" term="%22Forest+management%22">Forest management</searchLink><br />*<searchLink fieldCode="DE" term="%22Forest+monitoring%22">Forest monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Automatic+classification%22">Automatic classification</searchLink><br />*<searchLink fieldCode="DE" term="%22Deforestation%22">Deforestation</searchLink><br />*<searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The land area covered by freely available very high-resolution (VHR) imagery has grown dramatically over recent years, which has considerable relevance for forest observation and monitoring. For example, it is possible to recognize and extract a number of features related to forest type, forest management, degradation and disturbance using VHR imagery. Moreover, time series of medium-to-high-resolution imagery such as MODIS, Landsat or Sentinel has allowed for monitoring of parameters related to forest cover change. Although automatic classification is used regularly to monitor forests using medium-resolution imagery, VHR imagery and changes in web-based technology have opened up new possibilities for the role of visual interpretation in forest observation. Visual interpretation of VHR is typically employed to provide training and/or validation data for other remote sensing-based techniques or to derive statistics directly on forest cover/forest cover change over large regions. Hence, this paper reviews the state of the art in tools designed for visual interpretation of VHR, including Geo-Wiki, LACO-Wiki and Collect Earth as well as issues related to interpretation of VHR imagery and approaches to quality assurance. We have also listed a number of success stories where visual interpretation plays a crucial role, including a global forest mask harmonized with FAO FRA country statistics; estimation of dryland forest area; quantification of deforestation; national reporting to the UNFCCC; and drivers of forest change. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=137472449
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10712-019-09533-z
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 839
    Subjects:
      – SubjectFull: Forest management
        Type: general
      – SubjectFull: Forest monitoring
        Type: general
      – SubjectFull: Estimation theory
        Type: general
      – SubjectFull: Automatic classification
        Type: general
      – SubjectFull: Deforestation
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Food & Agriculture Organization of the United Nations
        Type: general
    Titles:
      – TitleFull: Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery.
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            – D: 01
              M: 07
              Text: Jul2019
              Type: published
              Y: 2019
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