Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems
Desert spring ecosystems provide water resources essential for sustaining wildlife, plants, and humans inhabiting arid regions of the world. Disturbance processes in desert spring ecosystems are likely important but have not been well studied. Documentation of historic wildfires in these often remot...
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Veröffentlicht in: | Remote sensing of environment 2011-09, Vol.115 (9), p.2384-2389 |
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description | Desert spring ecosystems provide water resources essential for sustaining wildlife, plants, and humans inhabiting arid regions of the world. Disturbance processes in desert spring ecosystems are likely important but have not been well studied. Documentation of historic wildfires in these often remote areas has been inconsistent and proxy records are often not available. Remote sensing methods have been used in other environments to gain information about fires that have occurred over recent decades, but these methods have not been tested in desert spring environments. The differenced normalized burn ratio (dNBR) is the most commonly used method for delineating fire perimeters and burn severity mosaics, although another method, differenced linear spectral unmixing (dSMA), may produce more accurate results in heterogeneous desert spring ecosystems due to its ability to detect changes at the sub-pixel scale. This study compared dNBR and dSMA using field observations of burn presence and fire severity for two recent wildfires. The dNBR method outperformed dSMA, but required some post-processing manipulation to reduce errors of commission. The dNBR classification correctly indentified burned areas with 86% accuracy (3% omission error, 19% commission error) and classified fire severity with 76% accuracy. Misclassification errors were most common in dune and mesquite bosque/meadow land cover types (mean misclassification rate
=
36%). Nine of the fifteen wildfires reported to have occurred in the study site were successfully identified, with five of the unidentified fires having reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary to better distinguish small (<
5
ha) burned areas from areas of change resulting from soil moisture fluctuation and other short-term shifts in background conditions.
► Remote sensing burn severity methods require testing for desert spring wetlands. ► We compared dNBR and dSMA for burn perimeter delineation. ► We evaluated dNBR for burn severity mapping. ► dNBR outperformed dSMA and was accurate for large but not for small burns (<
5 ha). ► Additional refinement is needed for mapping small fires in arid environments. |
doi_str_mv | 10.1016/j.rse.2011.05.001 |
format | Article |
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=
36%). Nine of the fifteen wildfires reported to have occurred in the study site were successfully identified, with five of the unidentified fires having reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary to better distinguish small (<
5
ha) burned areas from areas of change resulting from soil moisture fluctuation and other short-term shifts in background conditions.
► Remote sensing burn severity methods require testing for desert spring wetlands. ► We compared dNBR and dSMA for burn perimeter delineation. ► We evaluated dNBR for burn severity mapping. ► dNBR outperformed dSMA and was accurate for large but not for small burns (<
5 ha). ► Additional refinement is needed for mapping small fires in arid environments.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2011.05.001</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Animal, plant and microbial ecology ; Applied geophysics ; Biological and medical sciences ; Burn severity ; Burns ; Combustion ; Desert environments ; Earth sciences ; Earth, ocean, space ; Ecosystems ; Exact sciences and technology ; Fire mapping ; Fires ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Internal geophysics ; Landsat ; Normalized burn ratio ; Remote sensing ; Spectral mixture analysis ; Springs ; Teledetection and vegetation maps ; Wildfires</subject><ispartof>Remote sensing of environment, 2011-09, Vol.115 (9), p.2384-2389</ispartof><rights>2011 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-a48be9b5e776582570622bc29b8307ac136e02382cb9be177f6cc03973803afc3</citedby><cites>FETCH-LOGICAL-c392t-a48be9b5e776582570622bc29b8307ac136e02382cb9be177f6cc03973803afc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425711001660$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24298693$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sunderman, Stephanie O.</creatorcontrib><creatorcontrib>Weisberg, Peter J.</creatorcontrib><title>Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems</title><title>Remote sensing of environment</title><description>Desert spring ecosystems provide water resources essential for sustaining wildlife, plants, and humans inhabiting arid regions of the world. Disturbance processes in desert spring ecosystems are likely important but have not been well studied. Documentation of historic wildfires in these often remote areas has been inconsistent and proxy records are often not available. Remote sensing methods have been used in other environments to gain information about fires that have occurred over recent decades, but these methods have not been tested in desert spring environments. The differenced normalized burn ratio (dNBR) is the most commonly used method for delineating fire perimeters and burn severity mosaics, although another method, differenced linear spectral unmixing (dSMA), may produce more accurate results in heterogeneous desert spring ecosystems due to its ability to detect changes at the sub-pixel scale. This study compared dNBR and dSMA using field observations of burn presence and fire severity for two recent wildfires. The dNBR method outperformed dSMA, but required some post-processing manipulation to reduce errors of commission. The dNBR classification correctly indentified burned areas with 86% accuracy (3% omission error, 19% commission error) and classified fire severity with 76% accuracy. Misclassification errors were most common in dune and mesquite bosque/meadow land cover types (mean misclassification rate
=
36%). Nine of the fifteen wildfires reported to have occurred in the study site were successfully identified, with five of the unidentified fires having reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary to better distinguish small (<
5
ha) burned areas from areas of change resulting from soil moisture fluctuation and other short-term shifts in background conditions.
► Remote sensing burn severity methods require testing for desert spring wetlands. ► We compared dNBR and dSMA for burn perimeter delineation. ► We evaluated dNBR for burn severity mapping. ► dNBR outperformed dSMA and was accurate for large but not for small burns (<
5 ha). ► Additional refinement is needed for mapping small fires in arid environments.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Biological and medical sciences</subject><subject>Burn severity</subject><subject>Burns</subject><subject>Combustion</subject><subject>Desert environments</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Ecosystems</subject><subject>Exact sciences and technology</subject><subject>Fire mapping</subject><subject>Fires</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Internal geophysics</subject><subject>Landsat</subject><subject>Normalized burn ratio</subject><subject>Remote sensing</subject><subject>Spectral mixture analysis</subject><subject>Springs</subject><subject>Teledetection and vegetation maps</subject><subject>Wildfires</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kUGLFDEQhYMoOK77A7zlInrptpJ0d9J4kkVXYUEQ9xzSNdWaYTo9pjIL8-_NMMse9xRIvvdS9Z4Q7xS0CtTwaddmplaDUi30LYB6ITbK2bEBC91LsQEwXdPp3r4Wb5h3FeidVRuRf9GyFpJMiWP6I8PhkNeAf4nlvGaZCdfEJR-xnF_nmEkeKMeFCmWWIW3ldMypyh_qbTnJZeUQkWVMcktMuUg-5LO0GvGJCy38Vryaw57p-vG8Evffvv6--d7c_bz9cfPlrkEz6tKEzk00Tj1ZO_SuTg6D1hPqcXIGbEBlBgJtnMZpnEhZOw-IYEZrHJgwo7kSHy6-daN_R-Lil8hI-31ItB7ZO-cU9LYfKvnxWbKaWzV0bnQVVRcU88qcafZ1vSXkk1fgz034na9N-HMTHnpfg66a94_2gTHs5xwSRn4S6k6PbhhN5T5fOKqpPETKnjFSQtrW2LH47Rqf-eU_4Pqf7g</recordid><startdate>20110915</startdate><enddate>20110915</enddate><creator>Sunderman, Stephanie O.</creator><creator>Weisberg, Peter J.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>7SN</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20110915</creationdate><title>Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems</title><author>Sunderman, Stephanie O. ; Weisberg, Peter J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-a48be9b5e776582570622bc29b8307ac136e02382cb9be177f6cc03973803afc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied geophysics</topic><topic>Biological and medical sciences</topic><topic>Burn severity</topic><topic>Burns</topic><topic>Combustion</topic><topic>Desert environments</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Ecosystems</topic><topic>Exact sciences and technology</topic><topic>Fire mapping</topic><topic>Fires</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Internal geophysics</topic><topic>Landsat</topic><topic>Normalized burn ratio</topic><topic>Remote sensing</topic><topic>Spectral mixture analysis</topic><topic>Springs</topic><topic>Teledetection and vegetation maps</topic><topic>Wildfires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sunderman, Stephanie O.</creatorcontrib><creatorcontrib>Weisberg, Peter J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sunderman, Stephanie O.</au><au>Weisberg, Peter J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems</atitle><jtitle>Remote sensing of environment</jtitle><date>2011-09-15</date><risdate>2011</risdate><volume>115</volume><issue>9</issue><spage>2384</spage><epage>2389</epage><pages>2384-2389</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>Desert spring ecosystems provide water resources essential for sustaining wildlife, plants, and humans inhabiting arid regions of the world. Disturbance processes in desert spring ecosystems are likely important but have not been well studied. Documentation of historic wildfires in these often remote areas has been inconsistent and proxy records are often not available. Remote sensing methods have been used in other environments to gain information about fires that have occurred over recent decades, but these methods have not been tested in desert spring environments. The differenced normalized burn ratio (dNBR) is the most commonly used method for delineating fire perimeters and burn severity mosaics, although another method, differenced linear spectral unmixing (dSMA), may produce more accurate results in heterogeneous desert spring ecosystems due to its ability to detect changes at the sub-pixel scale. This study compared dNBR and dSMA using field observations of burn presence and fire severity for two recent wildfires. The dNBR method outperformed dSMA, but required some post-processing manipulation to reduce errors of commission. The dNBR classification correctly indentified burned areas with 86% accuracy (3% omission error, 19% commission error) and classified fire severity with 76% accuracy. Misclassification errors were most common in dune and mesquite bosque/meadow land cover types (mean misclassification rate
=
36%). Nine of the fifteen wildfires reported to have occurred in the study site were successfully identified, with five of the unidentified fires having reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary to better distinguish small (<
5
ha) burned areas from areas of change resulting from soil moisture fluctuation and other short-term shifts in background conditions.
► Remote sensing burn severity methods require testing for desert spring wetlands. ► We compared dNBR and dSMA for burn perimeter delineation. ► We evaluated dNBR for burn severity mapping. ► dNBR outperformed dSMA and was accurate for large but not for small burns (<
5 ha). ► Additional refinement is needed for mapping small fires in arid environments.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2011.05.001</doi><tpages>6</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Burn severity Burns Combustion Desert environments Earth sciences Earth, ocean, space Ecosystems Exact sciences and technology Fire mapping Fires Fundamental and applied biological sciences. Psychology General aspects. Techniques Internal geophysics Landsat Normalized burn ratio Remote sensing Spectral mixture analysis Springs Teledetection and vegetation maps Wildfires |
title | Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems |
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