Title
Mining Multitemporal In Situ Heterogeneous Monitoring Information for the Assurance of Recorded Land Cover Changes.
Abstract
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 Alonso1123.41
Daniela Espinoza-Molina2548.83
Mihai Datcu3893111.62