Mapping and monitoring clear-cuts in Swedish forest using ALOS PALSAR satellite images
This study presents results for observing forest changes in Sweden using multi-temporal L-band satellite data and is a part of the JAXA's ALOS Kyoto and Carbon Initiative. An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Apertur...
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| creator | Pantze, A. Krantz, A.H. Fransson, J.E.S. Olsson, H. Santoro, M. Eriksson, L.E.B. Ulander, L.M.H. |
| description | This study presents results for observing forest changes in Sweden using multi-temporal L-band satellite data and is a part of the JAXA's ALOS Kyoto and Carbon Initiative. An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is investigated for clear-cut detection in boreal forests in northern Sweden (Lat. 64°14' N, Long. 19°50' E). Strong forest/non-forest contrast and temporal consistency were found for the Fine Beam Dual HV-polanzed backscatter during unfrozen conditions. Thus, a simple thresholding algorithm that exploits the temporal consistency of pair-wise HV-backscatter measurements has been developed for clear-cut detection. When applied to an image pair acquired during favorable weather conditions, the detection algorithm identified 76% of the clear-cut pixels within a reference layer, with zero erroneously detected pixels. With further refinement the developed methodology can be an option to present operational alternatives for clear-cut detection. |
| doi_str_mv | 10.1109/IGARSS.2009.5417826 |
| format | Conference Proceeding |
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An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is investigated for clear-cut detection in boreal forests in northern Sweden (Lat. 64°14' N, Long. 19°50' E). Strong forest/non-forest contrast and temporal consistency were found for the Fine Beam Dual HV-polanzed backscatter during unfrozen conditions. Thus, a simple thresholding algorithm that exploits the temporal consistency of pair-wise HV-backscatter measurements has been developed for clear-cut detection. When applied to an image pair acquired during favorable weather conditions, the detection algorithm identified 76% of the clear-cut pixels within a reference layer, with zero erroneously detected pixels. With further refinement the developed methodology can be an option to present operational alternatives for clear-cut detection.</description><subject>Backscatter</subject><subject>change detection</subject><subject>clear-cut</subject><subject>deforestation</subject><subject>Detection algorithms</subject><subject>Environmental Sciences related to Agriculture and Land-use</subject><subject>Forest Science</subject><subject>L-band</subject><subject>Miljö- och naturvårdsvetenskap</subject><subject>Monitoring</subject><subject>Phase detection</subject><subject>Phased arrays</subject><subject>Pixel</subject><subject>radar</subject><subject>Radar detection</subject><subject>SAR</subject><subject>Satellites</subject><subject>Skogsvetenskap</subject><subject>Synthetic aperture radar</subject><issn>2153-6996</issn><issn>2153-7003</issn><issn>2153-7003</issn><isbn>1424433940</isbn><isbn>9781424433940</isbn><isbn>1424433959</isbn><isbn>9781424433957</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkN1Kw0AQhdefgm3tE_RmXyB19i_bvQyitRCpNOpt2CS7dSVNQjah-PYmtOjcHGbOx5lhEFoSWBEC6mG7ifZJsqIAaiU4kWsaXqEZ4ZRzxpRQ12hKiWCBBGA3_waH24sRKhVO0GwIWCsCw-gOLbz_hqG4gJDLKfp81U3jqgPWVYGPdeW6uh3bvDS6DfK-89hVODmZwvkvbOvW-A73fkSieJfgtyhOoj32ujNl6TqD3VEfjL9HE6tLbxYXnaOP56f3x5cg3m22j1EcOEpYF8i1LCgxTEhLQWZaCg4h0SJXmlkhuc2t5SIfb81kRiyVhIENZaEpKZQs2BwF51x_Mk2fpU077G9_0lq71Jd9pttRUm9SOnwPBn555p0x5o--PJf9Ak3NZ6c</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Pantze, A.</creator><creator>Krantz, A.H.</creator><creator>Fransson, J.E.S.</creator><creator>Olsson, H.</creator><creator>Santoro, M.</creator><creator>Eriksson, L.E.B.</creator><creator>Ulander, L.M.H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>ADTPV</scope><scope>BNKNJ</scope></search><sort><creationdate>200907</creationdate><title>Mapping and monitoring clear-cuts in Swedish forest using ALOS PALSAR satellite images</title><author>Pantze, A. ; Krantz, A.H. ; Fransson, J.E.S. ; Olsson, H. ; Santoro, M. ; Eriksson, L.E.B. ; Ulander, L.M.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i213t-787d21e357f207ba754061a5c9a3f574fcff45c5064b7b1f27130f67da21d97d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Backscatter</topic><topic>change detection</topic><topic>clear-cut</topic><topic>deforestation</topic><topic>Detection algorithms</topic><topic>Environmental Sciences related to Agriculture and Land-use</topic><topic>Forest Science</topic><topic>L-band</topic><topic>Miljö- och naturvårdsvetenskap</topic><topic>Monitoring</topic><topic>Phase detection</topic><topic>Phased arrays</topic><topic>Pixel</topic><topic>radar</topic><topic>Radar detection</topic><topic>SAR</topic><topic>Satellites</topic><topic>Skogsvetenskap</topic><topic>Synthetic aperture radar</topic><toplevel>online_resources</toplevel><creatorcontrib>Pantze, A.</creatorcontrib><creatorcontrib>Krantz, A.H.</creatorcontrib><creatorcontrib>Fransson, J.E.S.</creatorcontrib><creatorcontrib>Olsson, H.</creatorcontrib><creatorcontrib>Santoro, M.</creatorcontrib><creatorcontrib>Eriksson, L.E.B.</creatorcontrib><creatorcontrib>Ulander, L.M.H.</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>SwePub</collection><collection>SwePub Conference</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pantze, A.</au><au>Krantz, A.H.</au><au>Fransson, J.E.S.</au><au>Olsson, H.</au><au>Santoro, M.</au><au>Eriksson, L.E.B.</au><au>Ulander, L.M.H.</au><aucorp>Sveriges lantbruksuniversitet</aucorp><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Mapping and monitoring clear-cuts in Swedish forest using ALOS PALSAR satellite images</atitle><btitle>2009 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2009-07</date><risdate>2009</risdate><volume>3</volume><spage>III-589</spage><epage>III-592</epage><pages>III-589-III-592</pages><issn>2153-6996</issn><issn>2153-7003</issn><eissn>2153-7003</eissn><isbn>1424433940</isbn><isbn>9781424433940</isbn><eisbn>1424433959</eisbn><eisbn>9781424433957</eisbn><abstract>This study presents results for observing forest changes in Sweden using multi-temporal L-band satellite data and is a part of the JAXA's ALOS Kyoto and Carbon Initiative. An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is investigated for clear-cut detection in boreal forests in northern Sweden (Lat. 64°14' N, Long. 19°50' E). Strong forest/non-forest contrast and temporal consistency were found for the Fine Beam Dual HV-polanzed backscatter during unfrozen conditions. Thus, a simple thresholding algorithm that exploits the temporal consistency of pair-wise HV-backscatter measurements has been developed for clear-cut detection. When applied to an image pair acquired during favorable weather conditions, the detection algorithm identified 76% of the clear-cut pixels within a reference layer, with zero erroneously detected pixels. With further refinement the developed methodology can be an option to present operational alternatives for clear-cut detection.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2009.5417826</doi></addata></record> |
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| ispartof | 2009 IEEE International Geoscience and Remote Sensing Symposium, 2009, Vol.3, p.III-589-III-592 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Backscatter change detection clear-cut deforestation Detection algorithms Environmental Sciences related to Agriculture and Land-use Forest Science L-band Miljö- och naturvårdsvetenskap Monitoring Phase detection Phased arrays Pixel radar Radar detection SAR Satellites Skogsvetenskap Synthetic aperture radar |
| title | Mapping and monitoring clear-cuts in Swedish forest using ALOS PALSAR satellite images |
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