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Application of a semi-automatic unsupervised change detection to (SEMI-) natural grassland loss at very high resolution.

, , and . IGARSS, page 1666-1669. IEEE, (2015)

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Towards Operational Detection of Forest Ecosystem Changes in Protected Areas., , , , , and . Remote. Sens., 8 (10): 850 (2016)Extraction of urban settlements by an automatic approach on high resolution remote sensed data., , , , , and . IGARSS, page 1975-1977. IEEE, (2003)A rule-based classification methodology to handle uncertainty in habitat mapping employing evidential reasoning and fuzzy logic., , , , , , , , and . Pattern Recognit. Lett., (2014)Combined use of expert knowledge and earth observation data for the land cover mapping of an Italian grassland area: An EODHaM system application., , , , , , and . IGARSS, page 3065-3068. IEEE, (2015)Bayesian approach to land cover change detection using a priori scene description., , , and . IGARSS, page 1406-1409. IEEE, (2004)Application of a semi-automatic unsupervised change detection to (SEMI-) natural grassland loss at very high resolution., , and . IGARSS, page 1666-1669. IEEE, (2015)Change Detection in (Semi-) Natural Grassland Ecosystems for Biodiversity Monitoring Using Open Data., , , and . IGARSS, page 8981-8984. IEEE, (2018)Neural Network Ensemble and Support Vector Machine Classifiers: An Application to Remote Sensed Data., , , , , , and . WILF, volume 2955 of Lecture Notes in Computer Science, page 317-323. Springer, (2003)Time Series of Land Cover Mappings Can Allow the Evaluation of Grassland Protection Actions Estimated by Sustainable Development Goal 15.1.2 Indicator: The Case of Murgia Alta Protected Area., , , and . Remote. Sens., 15 (2): 505 (January 2023)Land cover to habitat map translation: Disambiguation rules based on Earth Observation data., , , , , , , , and . IGARSS, page 3817-3820. IEEE, (2013)