Article
Chemistry, Multidisciplinary
Gaetano Pecoraro, Gianfranco Nicodemo, Rosa Menichini, Davide Luongo, Dario Peduto, Michele Calvello
Summary: This paper presents a procedure to assess the risk level of stretches of roads exposed to slow-moving landslides at the municipal scale. It proposes an analysis method that combines landslide susceptibility maps, a road-damage database developed using Google Street View images, and ground-displacement measurements from satellite SAR images. The results demonstrate the importance of integrating these different approaches and data to understand the behavior of slow-moving landslides affecting road networks.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Pingheng Li
Summary: This study explores the pollution risk and resource utilization potential of vegetable waste on land resources through the analysis of remote sensing data and literature collection. By establishing a land use reference database and using geographical information system, key areas for controlling vegetable waste pollution are determined, and the possibility of waste utilization is compared. In addition, the study conducts a preliminary analysis of the causes and cumulative characteristics of polluted soil.
JOURNAL OF SENSORS
(2022)
Article
Geography
F. Bucci, M. Santangelo, F. Fiorucci, F. Ardizzone, D. Giordan, M. Cignetti, D. Notti, P. Allasia, D. Godone, D. Lagomarsino, A. Pozzoli, E. Norelli, M. Cardinali
Summary: The study presents a new landslide inventory for an area in the Southern Italian Apennines, prepared through systematic interpretation of historical aerial photographs. A total of 2124 landslides were classified based on movement type, estimated depth, relative age and uncertainty levels, providing useful landslide attributes and map constraints for land planning and hazard studies. The map also documents the relationships between landslides and fluvial landforms of different generations, contributing important information for further investigation of the geomorphological evolution of the area.
Article
Green & Sustainable Science & Technology
Jaydip Dey, Saurabh Sakhre, Ritesh Vijay, Hemant Bherwani, Rakesh Kumar
Summary: Landslides pose a significant challenge in mountainous regions like Nainital district in India, where geological structures make the area particularly susceptible. In order to mitigate the risk of landslides, susceptibility mapping using remote sensing and geographic information systems is crucial for identifying vulnerable areas and implementing appropriate measures.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Studies
Minu Treesa Abraham, Neelima Satyam, Revuri Lokesh, Biswajeet Pradhan, Abdullah Alamri
Summary: Data driven methods such as Machine Learning algorithms are widely used for Landslide Susceptibility Mapping (LSM). The choice of algorithm and sampling strategy play crucial roles in obtaining accurate results. Random Forest, K Nearest Neighbors, and Support Vector Machine algorithms perform better than Naive Bayes and Logistic Regression, with the former three being more sensitive to sampling strategy and data points. Increasing data points leads to better performance for KNN, RF, and SVM algorithms, while NB and LR algorithms are less affected by sampling strategy and data splitting ratio.
Article
Environmental Studies
Paolo Magliulo, Angelo Cusano, Giovanni Iacomino Caputo, Filippo Russo
Summary: In this study, LULC patterns and changes in the Fortore River basin in southern Italy between 1960 and 2018 were analyzed. The results showed that most LULC changes occurred between the 1960s and 1990s, while stability in LULC was evident in the basin from the 1990s onward. The river and shoreline dynamics reflected the changes in LULC stability at the basin scale.
Article
Geosciences, Multidisciplinary
Siyuan Zhao, Fuchu Dai, Jianhui Deng, Hong Wen, Hua Li, Fei Chen
Summary: This study investigated landslides in the Sichuan-Tibet Engineering Corridor using geomorphological and geological analyses. The results showed that landslides occurred preferentially in high-elevation river valley regions and were controlled by soft rock types and geological features such as faults and rivers. The susceptibility of landslides varied across different river catchments and was strongly influenced by lithology, elevation, relief, slope, and distance to faults.
Article
Chemistry, Multidisciplinary
Diego Renza, Elsa Adriana Cardenas, Estibaliz Martinez, Serena Sarah Weber
Summary: In this study, a new convolutional neural network architecture is proposed for evaluating landslide susceptibility, trained with data obtained through geological, geomorphological, and land use information. The method shows high performance with low computational cost and pixel-level accuracy on test data.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Viviana Bellomo, Andrea Conte, Giampiero Mineo, Giulia Di Frisco, Grazia Azzara, Margherita Bufalini, Marco Materazzi, Edoardo Rotigliano
Summary: The quality of landslide inventories used for calibration greatly affects the quality of the model and its prediction image in statistical landslide susceptibility evaluation. This research proposes a two-step susceptibility modeling procedure to verify and solve the limitations caused by the incompleteness and mapping inaccuracy of regional-scale inventories. By applying this procedure to the Torto River basin in Italy, it was found that the limitations of the initial models were largely solved by the recalibrated models, suggesting the proposed procedure as a suitable modeling strategy for regional susceptibility studies.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Long Nguyen Thanh, Yao-Min Fang, Tien-Yin Chou, Thanh-Van Hoang, Quoc Dinh Nguyen, Chen-Yang Lee, Chin-Lun Wang, Hsiao-Yuan Yin, Yi-Chia Lin
Summary: This study assessed the landslide susceptibility in a mountainous commune in Vietnam and created a landslide susceptibility zonation map. The map showed different levels of landslide susceptibility and could be considered reliable for practical use.
Article
Environmental Sciences
Muhittin Ozan Karaman, Saye Nihan Cabuk, Emrah Pekkan
Summary: Geographical information systems (GIS) were used to create landslide susceptibility maps in the Karaburun Peninsula in Izmir. This study provides important inputs for sustainable planning in the region.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Environmental
Hamid Bourenane, Aghiles Abdelghani Meziani, Dalila Ait Benamar
Summary: The research validated and compared landslide susceptibility maps in the urban area of Azazga using four GIS-based statistical approaches. The study found that the FR method provided more accurate prediction in generating LSMs than the other three models, and all the statistical models showed good accuracy in landslide susceptibility mapping.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Environmental Sciences
Maria Francesca Tursi, Giorgio Anfuso, Fabio Matano, Gaia Mattei, Pietro P. C. Aucelli
Summary: This paper proposes a new method for assessing the susceptibility of high coastal sectors to erosive processes. The method combines two matrices to consider the physical characteristics and forcing agents affecting the sectors. The approach was applied to two locations in southern Italy and the results showed a high susceptibility to erosion, indicating the need for increased monitoring and protective actions.
Article
Green & Sustainable Science & Technology
Zhu Liang, Wei Liu, Weiping Peng, Lingwei Chen, Changming Wang
Summary: This paper aims to explore a comprehensive model with high reliability, accuracy, and intelligibility for landslide susceptibility assessment (LSA) by combining statistical methods and ensemble learning techniques. The results indicate that the performance of the Stacking method is enhanced, and the basic classifiers (random forest, gradient boosting decision tree, and adaptive boosting decision tree) also perform well. Regions with a shorter distance to streams and roads and lower elevation are susceptible to landslide hazards.
Article
Environmental Studies
Luca Pisano, Veronica Zumpano, Mariangela Pepe, Isabella Serena Liso, Mario Parise
Summary: Karst regions are unique and rich in natural resources, but also highly endangered due to human activity. This article examines the evolution of the karst landscape in the Alta Murgia area of Italy over a 50-year period, revealing significant degradation caused by land cover changes and agricultural practices.
Article
Environmental Sciences
Paolo Magliulo, Federica Bozzi, Maurizio Pignone
ENVIRONMENTAL EARTH SCIENCES
(2016)
Article
Geography
Paolo Magliulo, Angelo Cusano
Article
Geography, Physical
Sergio Lo Curzio, Paolo Magliulo
EARTH SURFACE PROCESSES AND LANDFORMS
(2010)
Article
Environmental Sciences
Paolo Magliulo
ENVIRONMENTAL EARTH SCIENCES
(2012)
Article
Environmental Sciences
Paolo Magliulo, Alessio Valente, Elena Cartojan
ENVIRONMENTAL EARTH SCIENCES
(2013)
Article
Geography
Paolo Magliulo
Article
Geosciences, Multidisciplinary
Paolo Magliulo, Antonio Di Lisio, Filippo Russo, Antonio Zelano
Article
Environmental Sciences
Paolo Magliulo, Filippo Russo, Sergio Lo Curzio
ENVIRONMENTAL EARTH SCIENCES
(2020)
Article
Environmental Sciences
Paolo Magliulo, Alessio Valente
Article
Geosciences, Multidisciplinary
Paolo Magliulo, Antonio Di Lisio, Michele Sisto, Alessio Valente
Article
Geography, Physical
Paolo Magliulo, Federica Bozzi, Guido Leone, Francesco Fiorillo, Natalia Leone, Filippo Russo, Alessio Valente
Summary: This study investigated the channel adjustments experienced by the Tammaro River in Italy over a period of 140 years. Results showed different phases of channel morphology and stability, with the later stability being related to changes after the closure of the Campolattaro Dam.
Article
Geosciences, Multidisciplinary
Paolo Magliulo, Angelo Cusano, Sofia Sessa, Marika Beatrice, Filippo Russo
Summary: This study analyzes the land-use changes in the Calore River basin in Southern Italy between 1960 and 2018. The results show that most of the changes occurred between 1960 and 1990, with afforestation of agricultural lands being the main change. However, between 1990 and 2018, over 90% of the landscape remained unchanged. The increase in artificial surfaces contributed to an overall improvement in soil protection against erosion.
Article
Geosciences, Multidisciplinary
Alessio Valente, Cosimo Iscaro, Paolo Magliulo, Filippo Russo
RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA
(2016)
Article
Multidisciplinary Sciences
Elena Cartojan, Paolo Magliulo, Bruno Massa, Alessio Valente
RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI
(2014)
