Results 51 to 60 of about 32,207 (198)

Winegrowers' Perceptions and Adoption of Sustainable Soil Management Practices and Technologies: A Case Study in Piedmont, Italy

Land Degradation &Development, EarlyView.
ABSTRACT Soil is crucial for human survival but is threatened by erosion and contamination. Farmers play a pivotal role in soil conservation, thus, understanding what influences their decisions is crucial. The IN‐GEST SOIL project aimed to mitigate soil erosion and improve soil and vine quality in Piedmont vineyards, NW Italy.
Federica Caffaro, Eugenio De Gregorio, Giorgio Capello, Lucia Vigoroso, Giorgia Bagagiolo, Eugenio Cavallo, Marcella Biddoccu   +6 more
wiley   +1 more source

Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia

Geosciences, 2020
There has been an increasing trend of land area being brought under human’s use over time. This situation has led the community to carry out land-use development activities in landslide hazard-prone areas.
Syamsul Bachri, Rajendra P. Shrestha, Fajar Yulianto, Sumarmi Sumarmi, Kresno Sastro Bangun Utomo, Yulius Eka Aldianto   +5 more
doaj   +1 more source

Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India

Advances in Civil Engineering, 2022
Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are different methods for predicting landslide susceptibility, the bivariate statistical analysis ...
Nguyen Duc Dam, Mahdis Amiri, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham   +6 more
doaj   +1 more source

A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey

Applied Sciences, 2021
The success rate in landslide susceptibility mapping efforts increased with the advancements in machine learning algorithms and the availability of geospatial data with high spatial and temporal resolutions.
Recep Can, Sultan Kocaman, Candan Gokceoglu   +2 more
doaj   +1 more source

The Age and Origin of Block Deposits in the Victorian Alps, Australia

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Large periglacial block deposits are found in the mountains of southeastern Australia. Despite their widespread distribution, their mode of formation and age are poorly understood. These landforms hold considerable potential to shed light on the nature of cooling during glacial periods. In this paper we present a new study of block deposits in
Timothy T. Barrows, Michelle S. Worland, Julian Murton, Stephanie C. Mills, L. Keith Fifield   +4 more
wiley   +1 more source

Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia

Journal of Geospatial Science and Analytics
Landslide disasters predominantly occur in the upstream sections of river basins due to the steeper slopes typically found in these areas compared to the middle and downstream sections of watersheds.
Miftakhul Firdauz, Heni Masruroh, Listyo Yudha Irawan, Syamsul Bachri   +3 more
doaj   +1 more source

Evaluation of the influence of source and spatial resolution of DEMs on derivative products used in landslide mapping

Geomatics, Natural Hazards & Risk, 2016
Landslides are a major geohazard, which result in significant human, infrastructure, and economic losses. Landslide susceptibility mapping can help communities plan and prepare for these damaging events.
Rubini Mahalingam, Michael J. Olsen
doaj   +1 more source

Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms

Egyptian Journal of Remote Sensing and Space Sciences, 2022
Landslides are geological hazards that can have severe impacts, threatening both the people and the local environment of highlands or mountain slopes.
Muhammad Fulki Fadhillah, Wahyu Luqmanul Hakim, Mahdi Panahi, Fatemeh Rezaie, Chang-Wook Lee, Saro Lee   +5 more
doaj   +1 more source

Landslide Susceptibility Mapping Considering Landslide Local-Global Features Based on CNN and Transformer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Landslide susceptibility mapping (LSM) is a crucial step in quantitatively assessing landslide risk, essential for geologic hazards prevention. With the rapid development of deep learning models, convolutional neural networks (CNNs), and transformer ...
Zeyang Zhao, Tao Chen, Jie Dou, Gang Liu, Antonio Plaza   +4 more
semanticscholar   +1 more source

Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms

Remote Sensing, 2023
Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting in significant damage and fatalities.
H. Shahabi, R. Ahmadi, M. Alizadeh, M. Hashim, Nadhir Al-Ansari, A. Shirzadi, Isabelle D. Wolf, E. H. Ariffin   +7 more
semanticscholar   +1 more source