MAHBOUBI, MASOUME
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Detection of Wet Riparian Areas using Very High Resolution Multispectral UAS Imagery Based on a Feature-based Machine Learning Algorithm
2022 Mahboubi, M.; Belcore, E.; Pontoglio, E.; Matrone, F.; Lingua, A.
Geospatial Analysis of Safe Delivery App Events Based on Geographically Weighted Regression Tool
2022 Mahboubi, Masoume; Grønbæk, Astrid; Fernandes, Ana; Fibæk, Casper; Dabove, Paolo
Citazione | Data di pubblicazione | Autori | File |
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Detection of Wet Riparian Areas using Very High Resolution Multispectral UAS Imagery Based on a Feature-based Machine Learning Algorithm / Mahboubi, M.; Belcore, E.; Pontoglio, E.; Matrone, F.; Lingua, A.. - 3:(2022). (Intervento presentato al convegno 25th AGILE Conference on Geographic Information Science, 2022) [10.5194/agile-giss-3-46-2022]. | 1-gen-2022 | Mahboubi, M.Belcore, E.Matrone, F.Lingua, A. + | agile-giss-3-46-2022.pdf |
Geospatial Analysis of Safe Delivery App Events Based on Geographically Weighted Regression Tool / Mahboubi, Masoume; Grønbæk, Astrid; Fernandes, Ana; Fibæk, Casper; Dabove, Paolo. - STAMPA. - 3:(2022), pp. 1-6. (Intervento presentato al convegno 25th AGILE Conference on Geographic Information Science tenutosi a Vilnius (Lithuania) nel 14–17 June 2022) [10.5194/agile-giss-3-47-2022]. | 1-gen-2022 | Masoume MahboubiPaolo Dabove + | agile-giss-3-47-2022.pdf |