Change detection using spatial data problems and challenges
This article describes the SYKE's approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images hav...
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| creator | Torma, M. Harma, P. Jarvenpaa, E. |
| description | This article describes the SYKE's approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. The most important characteristics of map data are metadata and accuracy assessment. |
| doi_str_mv | 10.1109/IGARSS.2007.4423208 |
| format | Conference Proceeding |
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If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. 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If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. The most important characteristics of map data are metadata and accuracy assessment.</description><subject>Geometry</subject><subject>Image resolution</subject><subject>Instruments</subject><subject>MODIS</subject><subject>Radiometry</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Soil moisture</subject><subject>Spatial resolution</subject><subject>Sun</subject><issn>2153-6996</issn><issn>2153-7003</issn><isbn>9781424412112</isbn><isbn>1424412110</isbn><isbn>1424412129</isbn><isbn>9781424412129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtOwzAURM1LopR8QTf-gQRf-8aOxaqqaKlUCYnCurrxow1K0yoOC_6eSoTZzOLozGIYm4EoAIR9Wq_m79ttIYUwBaJUUlRX7AFQIoIEaa_ZREKpciOEumGZNdU_A3k7Mm2tvmdZSl_iEmXRCpiw58WBun3gPgzBDc2p49-p6fY8nWloqOWeBuLn_lS34Zg4dZ67A7VtuDjpkd1FalPIxp6yz-XLx-I137yt1ov5JneAYsgjqDrWNRiwVdQRqwABTImaNEarDJRCkvQYyZeqNuC8tsZ6hY6cdtaoKZv97TYhhN25b47U_-zGH9QvyBVMrg</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Torma, M.</creator><creator>Harma, P.</creator><creator>Jarvenpaa, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200707</creationdate><title>Change detection using spatial data problems and challenges</title><author>Torma, M. ; Harma, P. ; Jarvenpaa, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c140t-f13bfbb17198f6f48e1e17546a64f9371502a2d4fad53b71cd6979d34cac6c973</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Geometry</topic><topic>Image resolution</topic><topic>Instruments</topic><topic>MODIS</topic><topic>Radiometry</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Soil moisture</topic><topic>Spatial resolution</topic><topic>Sun</topic><toplevel>online_resources</toplevel><creatorcontrib>Torma, M.</creatorcontrib><creatorcontrib>Harma, P.</creatorcontrib><creatorcontrib>Jarvenpaa, E.</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Torma, M.</au><au>Harma, P.</au><au>Jarvenpaa, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Change detection using spatial data problems and challenges</atitle><btitle>2007 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2007-07</date><risdate>2007</risdate><spage>1947</spage><epage>1950</epage><pages>1947-1950</pages><issn>2153-6996</issn><eissn>2153-7003</eissn><isbn>9781424412112</isbn><isbn>1424412110</isbn><eisbn>1424412129</eisbn><eisbn>9781424412129</eisbn><abstract>This article describes the SYKE's approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. The most important characteristics of map data are metadata and accuracy assessment.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2007.4423208</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 2153-6996 |
| ispartof | 2007 IEEE International Geoscience and Remote Sensing Symposium, 2007, p.1947-1950 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Geometry Image resolution Instruments MODIS Radiometry Remote sensing Satellites Soil moisture Spatial resolution Sun |
| title | Change detection using spatial data problems and challenges |
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