{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Elizabeth Foughty", "hasEmail": "mailto:elizabeth.a.foughty@nasa.gov"}, "description": "A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE\r\n\r\nSHYAM BORIAH*, VARUN MITHAL*, ASHISH GARG*, VIPIN KUMAR*, MICHAEL STEINBACH*,\r\nCHRIS POTTER**, AND STEVE KLOOSTER***\r\n\r\nAbstract. Ecosystem-related observations from remote sensors on satellites offer huge potential\r\nfor understanding the location and extent of global land cover change. This paper presents a\r\ncomparative study of three time series based algorithms for detecting changes in land cover. The\r\ntechniques are evaluated quantitatively using forest fire ground truth from the state of California\r\nfor 2000\u20132009. On relatively high quality data sets, all three schemes perform reasonably well,\r\nbut their ability to handle noise and natural variability in the vegetation data differs dramatically.\r\nIn particular, one of the algorithms significantly outperforms the other two since it accounts for\r\nvariability in the time series.", "distribution": [{"@type": "dcat:Distribution", "description": "A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/Paper_14_.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "Paper 14 .pdf"}], "identifier": "DASHLINK_236", "issued": "2010-10-13", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/236/", "modified": "2025-04-01", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE"}