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A spatial statistical study of the distribution of Sardinian nuraghes.

, , and . Ann. GIS, 28 (3): 245-261 (2022)

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Phenology-based sample generation for supervised crop type classification., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Geo-Ethics in Slum Mapping., , , , , , and . IGARSS, page 5700-5703. IEEE, (2021)Few-Shot Learning for Crop Mapping from Satellite Image Time Series., , and . Remote. Sens., 16 (6): 1026 (March 2024)Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine., , , and . Remote. Sens., 13 (8): 1433 (2021)Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data., , , , , and . Ecol. Informatics, (2019)A spatial statistical study of the distribution of Sardinian nuraghes., , and . Ann. GIS, 28 (3): 245-261 (2022)Towards user-driven earth observation-based slum mapping., , , , , , and . Comput. Environ. Urban Syst., (2021)3D Fully Convolutional Neural Networks with Intersection over Union Loss for Crop Mapping from Multi-Temporal Satellite Images., , and . IGARSS, page 5834-5837. IEEE, (2021)Demography of Twitter Users in the City of London: An Exploratory Spatial Data Analysis Approach., , and . CARTOCON, page 199-211. Springer, (2014)Recommender-based enhancement of discovery in Geoportals., , and . Int. J. Spatial Data Infrastructures Res., (2012)