Title | ||
---|---|---|
Mining Multitemporal In Situ Heterogeneous Monitoring Information for the Assurance of Recorded Land Cover Changes. |
Abstract | ||
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We present a data mining methodology to filter and validate land cover change detections obtained from multitemporal in situ surveys. As in situ data we use the measurements from the European land use and coverage area frame survey (LUCAS), which provides images with standardized metadata about land cover and land use within the whole territory of the European Union. Multitemporal LUCAS surveys pr... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JSTARS.2016.2599225 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Data mining,Image analysis,Data visualization,Image color analysis,Databases,Metadata,Earth | Geographic information system,Metadata,Data mining,Data visualization,Database query,Digital Earth,Remote sensing,Land cover,Mathematics,European union,Land use | Journal |
Volume | Issue | ISSN |
10 | 3 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kevin Alonso | 1 | 12 | 3.41 |
Daniela Espinoza-Molina | 2 | 54 | 8.83 |
Mihai Datcu | 3 | 893 | 111.62 |