{"id":1094,"date":"2021-04-28T12:27:37","date_gmt":"2021-04-28T11:27:37","guid":{"rendered":"http:\/\/sites.exeter.ac.uk\/tedfeldpausch\/?p=1094"},"modified":"2023-09-18T19:19:02","modified_gmt":"2023-09-18T19:19:02","slug":"fire-related-forest-properties-observed-using-landsat-and-radar-data","status":"publish","type":"post","link":"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/","title":{"rendered":"Fire-related forest properties observed using Landsat and radar data"},"content":{"rendered":"<p>Fire is an important cause of disturbance in terrestrial ecosystems and can has a major impact on biodiversity. We evaluated the effect of fire regime on species richness and tree basal area in southern Amazon forest using Landsat and PALSAR data.<\/p>\n<p><!--more--><\/p>\n<p>Long-term forest plot monitoring in Mato Grosso state (Brazil) indicates species richness was lowest in plots that have been burned multiple times and there was ncreasing species richness with time since the last fire. Furthermore, there is a strong positive relationship between species richness and basal area in unburnt and once-burnt plots, especially in the large tree stratum. We used high-resolution Landsat and PALSAR data at varying spatio-temporal (single and bi-temporal) scales to (a) assess Vegetation Indices (VI) sensitive to varying fire severity for different tropical forest species; (b) quantify fire severity and basal area\/ biomass changes (1999, 2006, 2010, 2013); and (c) quantify the sensitivity of L-band backscatter to fuel load, moisture content and basal area\/ biomass dynamics.<\/p>\n<p>Landsat\u2019s red, NIR, SWIR bands showed better burnt area detection (Fig 1). Multiple and recent burnt results in increased tree mortality with low canopy height and reduced basal area (Fig 2).<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_1102\" style=\"width: 300px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1102\" class=\"size-medium wp-image-1102\" src=\"http:\/\/sites.exeter.ac.uk\/tedfeldpausch\/files\/2021\/04\/Screenshot-2021-04-28-at-12.08.59-300x211.jpg\" alt=\"\" width=\"300\" height=\"211\" srcset=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.08.59-300x211.jpg 300w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.08.59-768x540.jpg 768w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.08.59.jpg 936w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><p id=\"caption-attachment-1102\" class=\"wp-caption-text\">Fig 1. Burnt area map in Mato Grosso, southern Amazonia<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_1109\" style=\"width: 815px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1109\" class=\"wp-image-1109\" src=\"http:\/\/sites.exeter.ac.uk\/tedfeldpausch\/files\/2021\/04\/Prestes_2020-1-300x92.png\" alt=\"\" width=\"815\" height=\"250\"><p id=\"caption-attachment-1109\" class=\"wp-caption-text\">Fig 2. Fire frequency (Prestes et al. 2020)<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>SR, NDMI, CI Green and NBR2 were found to be sensitive to fire frequency with low reflectance values; canopy height and basal area changes in seasonal evergreen forest of Mato Grosso (Brazil) (Fig 3).<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_1107\" style=\"width: 814px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1107\" class=\"wp-image-1107\" src=\"http:\/\/sites.exeter.ac.uk\/tedfeldpausch\/files\/2021\/04\/Screenshot-2021-04-28-at-12.20.16-300x92.png\" alt=\"\" width=\"814\" height=\"250\" srcset=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.20.16-300x92.png 300w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.20.16-1024x314.png 1024w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.20.16-768x236.png 768w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.20.16-1536x472.png 1536w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Screenshot-2021-04-28-at-12.20.16.png 1674w\" sizes=\"(max-width: 814px) 100vw, 814px\" \/><p id=\"caption-attachment-1107\" class=\"wp-caption-text\">Fig 3. Sensitivities of VIs to fire frequency<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>The findings were presented at the 2021 European Geophysical Union conference:&nbsp;https:\/\/meetingorganizer.copernicus.org\/EGU21\/EGU21-9834.html<\/p>\n<p>Reference: Ramesh K. Ningthoujam, Nayane C.C.dos S. Prestes, Kl\u00e9cia G. Massi, Michael Keller, Ted R. Feldpausch, Martin Wooster, Sandy P. Harrison &amp; I. Colin Prentice: Fire-related forest properties observed using Landsat and radar data, EGU General Assembly 2021, online, 19\u201330 Apr 2021, EGU21-9834, https:\/\/doi.org\/10.5194\/egusphere-egu21-9834, 2021.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_1098\" style=\"width: 400px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1098\" class=\"wp-image-1098\" src=\"http:\/\/sites.exeter.ac.uk\/tedfeldpausch\/files\/2021\/04\/Brando_Photos52-300x225.jpg\" alt=\"\" width=\"400\" height=\"300\" srcset=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Brando_Photos52-300x225.jpg 300w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Brando_Photos52-1024x768.jpg 1024w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Brando_Photos52-768x576.jpg 768w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Brando_Photos52-1536x1152.jpg 1536w, https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/Brando_Photos52.jpg 1600w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/><p id=\"caption-attachment-1098\" class=\"wp-caption-text\">Fig. 4 Fire consumes Amazon forest vegetation around a tree seedling (photo credit: Paulo Brando)<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Header image: Nayane Prestes, UNEMAT-Brazil, measures seedlings in a burned forest in Mato Grosso, southern Amazonia (photo credit: Ted R. Feldpausch)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fire is an important cause of disturbance in terrestrial ecosystems and can has a major impact on biodiversity. We evaluated the effect of fire regime on species richness and tree basal area in southern Amazon forest using Landsat and PALSAR data.<\/p>\n","protected":false},"author":999,"featured_media":1099,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5,9,17,29,31,37,65,81,1],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Fire-related forest properties observed using Landsat and radar data - Ted Feldpausch Research Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fire-related forest properties observed using Landsat and radar data - Ted Feldpausch Research Group\" \/>\n<meta property=\"og:description\" content=\"Fire is an important cause of disturbance in terrestrial ecosystems and can has a major impact on biodiversity. We evaluated the effect of fire regime on species richness and tree basal area in southern Amazon forest using Landsat and PALSAR data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Ted Feldpausch Research Group\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-28T11:27:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-18T19:19:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/IMG_20150812_094228-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1920\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ted Feldpausch\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ted Feldpausch\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\"},\"author\":{\"name\":\"Ted Feldpausch\",\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/#\/schema\/person\/24b1532c6a55065974e5ca93e29363d8\"},\"headline\":\"Fire-related forest properties observed using Landsat and radar data\",\"datePublished\":\"2021-04-28T11:27:37+00:00\",\"dateModified\":\"2023-09-18T19:19:02+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\"},\"wordCount\":389,\"publisher\":{\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/#\/schema\/person\/24b1532c6a55065974e5ca93e29363d8\"},\"image\":{\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/wp-content\/uploads\/sites\/257\/2021\/04\/IMG_20150812_094228-scaled.jpg\",\"articleSection\":[\"Amazonia\",\"Biodiversity\",\"Carbon storage\",\"Fire\",\"Forest degradation\",\"Forest regrowth\",\"Remote sensing\",\"Tree mortality\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\",\"url\":\"https:\/\/sites.exeter.ac.uk\/ted-feldpausch\/2021\/04\/28\/fire-related-forest-properties-observed-using-landsat-and-radar-data\/\",\"name\":\"Fire-related forest properties observed using Landsat and radar data - 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