Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

The aim of the present study was to explore the correlation between the land-use/land cover change and the flash-flood potential changes in Zăbala catchment (Romania) between 1989 and 2019. In this regard, the efficiency of GIS, remote sensing and machine learning techniques in detecting spatial pat...

Full description

Bibliographic Details
Main Authors: Romulus Costache, Quoc Bao Pham, Ema Corodescu-Roșca, Cătălin Cîmpianu, Haoyuan Hong, Nguyen Thi Thuy Linh, Chow Ming Fai, Ali Najah Ahmed, Matej Vojtek, Siraj Muhammed Pandhiani, Gabriel Minea, Nicu Ciobotaru, Mihnea Cristian Popa, Daniel Constantin Diaconu, Binh Thai Pham
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
Zăbala
Landsat images
multilayer perceptron
total relative difference-synthetic dynamic land-use index
flash-flood potential index
geographically weighted regression
Online Access:https://www.mdpi.com/2072-4292/12/9/1422

Similar Items

Similar Items