Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets
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{"title"=>"Detecting and quantifying forest change: The potential of existing C- and X-band radar datasets", "type"=>"journal", "authors"=>[{"first_name"=>"Mihai A.", "last_name"=>"Tanase", "scopus_author_id"=>"57194721818"}, {"first_name"=>"Ismail", "last_name"=>"Ismail", "scopus_author_id"=>"56754717000"}, {"first_name"=>"Kim", "last_name"=>"Lowell", "scopus_author_id"=>"57196316670"}, {"first_name"=>"Oka", "last_name"=>"Karyanto", "scopus_author_id"=>"6503890883"}, {"first_name"=>"Maurizio", "last_name"=>"Santoro", "scopus_author_id"=>"7201820022"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"605398430", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0131079", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84938508124", "sgr"=>"84938508124"}, "id"=>"4d63ff13-65dd-32f5-a91d-4645fecb2637", "abstract"=>"This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environ- ments. 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 moni- toring systems developed under the United Framework Convention on Climate Change (UNFCCC). The approach presented in this paper was tested in two areas located in Indo- nesia and Australia. Forest change estimation was based on differences between a refer- ence 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 TDMdatasets allowed not only identifying changes in forest extent but also esti- mating theirmagnitude with respect to the reference through variations in forest height", "link"=>"http://www.mendeley.com/research/detecting-quantifying-forest-change-potential-existing-c-xband-radar-datasets", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>2, "Environmental Science"=>10, "Agricultural and Biological Sciences"=>2, "Computer Science"=>1, "Earth and Planetary Sciences"=>7}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>7}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>10}}, "reader_count_by_country"=>{"Italy"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2150478"], "description"=>"<p>Landsat images (center and respectively left panels) show the variability of land cover types inside TDM footprints showed in cyan. Due to scaling some ground sites appear as overlapped. Data available from the U.S. Geological Survey.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464880, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.g001", "stats"=>{"downloads"=>1, "page_views"=>39, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overview_of_the_study_areas_the_location_of_the_ground_sites_and_their_vegetation_type_/1464880", "title"=>"Overview of the study areas, the location of the ground sites and their vegetation type.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150479"], "description"=>"<p>Upper row presents typical vegetation types for the semi-arid study area (from left to right: white cypress forest, eucalyptus plantation and almond orchard). The lower row presents typical vegetation types for the tropical study area (from left to right: primary forest, secondary forest and scrubland).</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464881, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.g002", "stats"=>{"downloads"=>2, "page_views"=>46, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Vegetation_types_present_in_the_study_areas_/1464881", "title"=>"Vegetation types present in the study areas.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150480"], "description"=>"<p>Left panel represents the semi-arid study area whereas right panel represents the tropical study area.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464882, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.g003", "stats"=>{"downloads"=>0, "page_views"=>50, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overall_statistic_agreement_between_field_and_remotely_sensed_estimates_of_height_for_unchanged_areas_i_e_sites_affected_by_deforestation_and_forest_degradation_were_excluded_/1464882", "title"=>"Overall statistic agreement between field and remotely sensed estimates of height for unchanged areas (i.e., sites affected by deforestation and forest degradation were excluded).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150481"], "description"=>"<p>Landsat data acquired in 2000 (left panel) and 2013 (center panel) show: forest areas in dark green, scrublands in light green and bare soil in magenta tones. Large areas affected by deforestation or afforestation (right panel) are highlighted in the Landsat images (left and center panels). Landsat data were available from the U.S. Geological Survey.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464883, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.g004", "stats"=>{"downloads"=>2, "page_views"=>44, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subset_of_the_tropical_study_area_showing_forest_status_left_and_center_panels_and_forest_change_right_panel_/1464883", "title"=>"Subset of the tropical study area showing forest status (left and center panels) and forest change (right panel).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150482"], "description"=>"<p>Right panel shows the sensitivity of forest degradation class to a change in upper and respectively lower limit of the interval. Zeroes represent the baseline thresholds of– 6, 8 and respectively [–<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131079#pone.0131079.ref006\" target=\"_blank\">6</a> –<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131079#pone.0131079.ref001\" target=\"_blank\">1</a>] m.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464884, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.g005", "stats"=>{"downloads"=>4, "page_views"=>44, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_of_deforestation_and_afforestation_classes_to_changes_in_threshold_limit_left_panel_/1464884", "title"=>"Sensitivity of deforestation and afforestation classes to changes in threshold limit (left panel).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150483"], "description"=>"<p>* average height</p><p>Sampled vegetation types together with stand Lorey`s height for the two study areas.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464885, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.t001", "stats"=>{"downloads"=>6, "page_views"=>36, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sampled_vegetation_types_together_with_stand_Lorey_s_height_for_the_two_study_areas_/1464885", "title"=>"Sampled vegetation types together with stand Lorey`s height for the two study areas.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150484"], "description"=>"<p>For the tropical area the thresholds were compensated for subsidence.</p>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464886, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131079.t002", "stats"=>{"downloads"=>5, "page_views"=>41, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Thresholds_used_to_map_forest_change_in_semi_arid_and_tropical_areas_/1464886", "title"=>"Thresholds used to map forest change in semi-arid and tropical areas.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-25 04:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/2150485", "https://ndownloader.figshare.com/files/2150486"], "description"=>"<div><p>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.</p></div>", "links"=>[], "tags"=>["climate change", "Quantifying Forest Change", "monitoring deforestation", "Shuttle Radar Topography Mission", "UNFCCC", "February 2000", "magnitude", "United Framework Convention", "TDM datasets", "srtm", "forest height", "interferometric radar datasets", "reference dataset", "forest regrowth", "forest change estimation", "forest extent", "monitoring systems", "resolutions radar missions"], "article_id"=>1464887, "categories"=>["Uncategorised"], "users"=>["Mihai A. Tanase", "Ismail Ismail", "Kim Lowell", "Oka Karyanto", "Maurizio Santoro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0131079.s001", "https://dx.doi.org/10.1371/journal.pone.0131079.s002"], "stats"=>{"downloads"=>2, "page_views"=>44, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Detecting_and_Quantifying_Forest_Change_The_Potential_of_Existing_C_and_X_Band_Radar_Datasets_/1464887", "title"=>"Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-06-25 04:33:31"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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