Activity maps of multi-source mudslides from the Daunia Apennines (Apulia, southern Italy)
Author
Abstract
Suggested Citation
DOI: 10.1007/s11069-020-04461-3
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Maurizio Lazzari & Dario Gioia, 2016. "Regional-scale landslide inventory, central-western sector of the Basilicata region (Southern Apennines, Italy)," Journal of Maps, Taylor & Francis Journals, vol. 12(5), pages 852-859, October.
- Salvatore Gallicchio & Massimo Moretti & Luigi Spalluto & Serafino Angelini, 2014. "Geology of the middle and upper Pleistocene marine and continental terraces of the northern Tavoliere di Puglia plain (Apulia, southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 10(4), pages 569-575, October.
- Massimo Conforti & Francesco Muto & Valeria Rago & Salvatore Critelli, 2014. "Landslide inventory map of north-eastern Calabria (South Italy)," Journal of Maps, Taylor & Francis Journals, vol. 10(1), pages 90-102, January.
- Luigi Guerriero & Paola Revellino & Jeffrey A. Coe & Mariano Focareta & Gerardo Grelle & Vincenzo Albanese & Angelo Corazza & Francesco M. Guadagno, 2013. "Multi-temporal Maps of the Montaguto Earth Flow in Southern Italy from 1954 to 2010," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 135-145, March.
- M. Parise & J. Wasowski, 1999. "Landslide Activity Maps for Landslide Hazard Evaluation: Three Case Studies from Southern Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 20(2), pages 159-183, November.
- Maurizio Lazzari & Dario Gioia & Bernardino Anzidei, 2018. "Landslide inventory of the Basilicata region (Southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 14(2), pages 348-356, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Derly Gómez & Edwin F. García & Edier Aristizábal, 2023. "Spatial and temporal landslide distributions using global and open landslide databases," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 25-55, May.
- Sheng Ma & Jian Chen & Saier Wu & Yurou Li, 2023. "Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
- Giuseppe Passarella & Emanuele Barca & Donato Sollitto & Rita Masciale & Delia Evelina Bruno, 2017. "Cross-Calibration of Two Independent Groundwater Balance Models and Evaluation of Unknown Terms: The Case of the Shallow Aquifer of “Tavoliere di Puglia” (South Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 327-340, January.
- Nazzareno Diodato & Luigi Guerriero & Francesco Fiorillo & Libera Esposito & Paola Revellino & Gerardo Grelle & Francesco Guadagno, 2014. "Predicting Monthly Spring Discharges Using a Simple Statistical Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 969-978, March.
- Bilquis Shah & M. Sultan Bhat & Akhtar Alam & Hilal Ahmad Sheikh & Noureen Ali, 2022. "Developing landslide hazard scenario using the historical events for the Kashmir Himalaya," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3763-3785, December.
- Xiaoyi Shao & Siyuan Ma & Chong Xu & Lingling Shen & Yongkun Lu, 2020. "Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
- Yue Wang & Deliang Sun & Haijia Wen & Hong Zhang & Fengtai Zhang, 2020. "Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China)," IJERPH, MDPI, vol. 17(12), pages 1-39, June.
- Xiang-Zhou Xu & Hong-Wu Zhang & Wen-Long Wang & Chao Zhao & Qiao Yan, 2015. "Quantitative monitoring of gravity erosion using a novel 3D surface measuring technique: validation and case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1927-1939, January.
- Shabnam Mehrnoor & Maryam Robati & Mir Masoud Kheirkhah Zarkesh & Forough Farsad & Shahram Baikpour, 2023. "Land subsidence hazard assessment based on novel hybrid approach: BWM, weighted overlay index (WOI), and support vector machine (SVM)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 1997-2030, February.
- Norbert Simon & Rodeano Roslee & Goh Thian Lai, 2017. "Temporal Landslide Susceptibility Assessment Using Landslide Density Technique," Geological Behavior (GBR), Zibeline International Publishing, vol. 1(2), pages 10-13, January.
- Hadi Memarian & Shiva Abdi Bastami & Morteza Akbari & Seyed Mohammad Tajbakhsh & Mahmoud Azamirad, 2023. "An integrative approach of the physical-based stability index mapping with the maximum entropy stochastic model for risk analysis of mass movements," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2808-2830, March.
- Guilherme Garcia Oliveira & Luis Fernando Chimelo Ruiz & Laurindo Antonio Guasselli & Claus Haetinger, 2019. "Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1049-1073, November.
More about this item
Keywords
Landslide activity map; Multi-temporal analysis; Reactivated mudslide; Daunia apennines; Apulia;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:106:y:2021:i:1:d:10.1007_s11069-020-04461-3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.