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Article

Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye

1
Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan
2
Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan
3
Civil Engineering Department, Middle East Technical University, Ankara 06800, Türkiye
*
Author to whom correspondence should be addressed.
Academic Editor: František Petrovič
Water 2022, 14(11), 1811; https://doi.org/10.3390/w14111811
Received: 28 April 2022 / Revised: 30 May 2022 / Accepted: 2 June 2022 / Published: 4 June 2022
Currently, many studies have reported that many landslides occur in tea or rubber plantation areas. In these areas, it is important to make a landslide susceptibility map and to take necessary measures to mitigate landslide damage. However, since historical landslide distribution data and land use data are not available, quantitative landslide assessment measurements have not been made in many countries. Therefore, in this study, landslide distribution maps and land use maps are created with worldwide available satellite imagery and Google Earth imagery, and the relationship between landslides and land use is analyzed in Rize, Türkiye. The results show that landslides are 1.75 to 5 times more likely to occur in tea gardens than in forests. It was also found that land use has the highest contribution to landslides among the landslide conditioning factors. The landslide assessment, using a simple landslide detection method and land use classification method with worldwide available data, enabled us to quantitatively reveal the characteristics of landslides. The results of this study reveal that quantitative landslide assessments can be applied in any location, where relatively high resolution satellite imagery and Google Earth imagery, or its alternatives, are available. View Full-Text
Keywords: land use; quantitative landslide assessment; Rize; satellite images; tea garden land use; quantitative landslide assessment; Rize; satellite images; tea garden
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MDPI and ACS Style

Kasahara, N.; Gonda, Y.; Huvaj, N. Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye. Water 2022, 14, 1811. https://doi.org/10.3390/w14111811

AMA Style

Kasahara N, Gonda Y, Huvaj N. Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye. Water. 2022; 14(11):1811. https://doi.org/10.3390/w14111811

Chicago/Turabian Style

Kasahara, Natsuki, Yutaka Gonda, and Nejan Huvaj. 2022. "Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye" Water 14, no. 11: 1811. https://doi.org/10.3390/w14111811

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