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1 Ergebnisse
1
Using GIS, Remote Sensing, and Machine Learning to Highligh..:
Romulus Costache
;
Quoc Bao Pham
;
Ema Corodescu-Roșca
...
https://www.mdpi.com/2072-4292/12/9/1422. , 2020
Link:
https://doi.org/10.3390/rs12091422
RT Journal T1
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e433f0e9d90542568bb8680338921bd0&Exemplar=1&LAN=DE A1 Romulus Costache A1 Quoc Bao Pham A1 Ema Corodescu-Roșca A1 Cătălin Cîmpianu A1 Haoyuan Hong A1 Nguyen Thi Thuy Linh A1 Chow Ming Fai A1 Ali Najah Ahmed A1 Matej Vojtek A1 Siraj Muhammed Pandhiani A1 Gabriel Minea A1 Nicu Ciobotaru A1 Mihnea Cristian Popa A1 Daniel Constantin Diaconu A1 Binh Thai Pham PB MDPI AG YR 2020 K1 Zăbala K1 Landsat images K1 multilayer perceptron K1 total relative difference-synthetic dynamic land-use index K1 flash-flood potential index K1 geographically weighted regression K1 Science K1 Q JF https://www.mdpi.com/2072-4292/12/9/1422 LK http://dx.doi.org/https://doi.org/10.3390/rs12091422 DO https://doi.org/10.3390/rs12091422 SF ELIB - SuUB Bremen
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