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Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets
This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environments. The paper describes an easy to implement method for detecting forest spatial changes and estimating their magni...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482516/ https://www.ncbi.nlm.nih.gov/pubmed/26111047 http://dx.doi.org/10.1371/journal.pone.0131079 |
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author | Tanase, Mihai A. Ismail, Ismail Lowell, Kim Karyanto, Oka Santoro, Maurizio |
author_facet | Tanase, Mihai A. Ismail, Ismail Lowell, Kim Karyanto, Oka Santoro, Maurizio |
author_sort | Tanase, Mihai A. |
collection | PubMed |
description | This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environments. The paper describes an easy to implement method for detecting forest spatial changes and estimating their magnitude. The datasets were acquired within space-borne high spatial resolutions radar missions at near-global scales thus being significant for monitoring systems developed under the United Framework Convention on Climate Change (UNFCCC). The approach presented in this paper was tested in two areas located in Indonesia and Australia. Forest change estimation was based on differences between a reference dataset acquired in February 2000 by the Shuttle Radar Topography Mission (SRTM) and TanDEM-X mission (TDM) datasets acquired in 2011 and 2013. The synergy between SRTM and TDM datasets allowed not only identifying changes in forest extent but also estimating their magnitude with respect to the reference through variations in forest height. |
format | Online Article Text |
id | pubmed-4482516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44825162015-07-01 Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets Tanase, Mihai A. Ismail, Ismail Lowell, Kim Karyanto, Oka Santoro, Maurizio PLoS One Research Article This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environments. The paper describes an easy to implement method for detecting forest spatial changes and estimating their magnitude. The datasets were acquired within space-borne high spatial resolutions radar missions at near-global scales thus being significant for monitoring systems developed under the United Framework Convention on Climate Change (UNFCCC). The approach presented in this paper was tested in two areas located in Indonesia and Australia. Forest change estimation was based on differences between a reference dataset acquired in February 2000 by the Shuttle Radar Topography Mission (SRTM) and TanDEM-X mission (TDM) datasets acquired in 2011 and 2013. The synergy between SRTM and TDM datasets allowed not only identifying changes in forest extent but also estimating their magnitude with respect to the reference through variations in forest height. Public Library of Science 2015-06-25 /pmc/articles/PMC4482516/ /pubmed/26111047 http://dx.doi.org/10.1371/journal.pone.0131079 Text en © 2015 Tanase et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tanase, Mihai A. Ismail, Ismail Lowell, Kim Karyanto, Oka Santoro, Maurizio Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title | Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title_full | Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title_fullStr | Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title_full_unstemmed | Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title_short | Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets |
title_sort | detecting and quantifying forest change: the potential of existing c- and x-band radar datasets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482516/ https://www.ncbi.nlm.nih.gov/pubmed/26111047 http://dx.doi.org/10.1371/journal.pone.0131079 |
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