4.6 Article

Landslide susceptibility mapping (LSM) of Swat District, Hindu Kush Himalayan region of Pakistan, using GIS-based bivariate modeling

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geosciences, Multidisciplinary

Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping

Bilal Aslam et al.

Summary: This study assesses and researches the landslide susceptibility in northern Pakistan using various convolutional neural network (CNN) architectures and residual networks (ResNet). The results show that the CNN models are significantly helpful in preventing landslides, and have higher prediction accuracy than other traditional machine learning and deep learning techniques.

NATURAL HAZARDS (2023)

Article Geochemistry & Geophysics

Multiscale CNN Based on Component Analysis for SAR ATR

Yi Li et al.

Summary: This article presents a multiscale convolutional neural network (CNN) based on component analysis (CA-MCNN) for synthetic aperture radar (SAR) automatic target recognition (ATR). By combining component information with global information, CA-MCNN achieves a more efficient and robust representation of target features. Extensive experiments on the moving and stationary target acquisition and recognition (MSTAR) dataset demonstrate the superior performance of CA-MCNN.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Environmental Sciences

Agricultural Field Extraction with Deep Learning Algorithm and Satellite Imagery

Alireza Sharifi et al.

Summary: This article introduces a method for detecting field borders in remote sensing images using a multi-task segmentation model. The method utilizes the ResUNet-a convolutional neural network to achieve fast and accurate border detection, and performs field segmentation using post-processing of model outputs. Experimental results demonstrate that the method can effectively identify field borders and produce precise field border and segmentation results.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2022)

Article Engineering, Multidisciplinary

An image recognition method for the deformation area of open-pit rock slopes under variable rainfall

Qihang Li et al.

Summary: This study simulated the deformation process of a large and steep rock slope in China under variable rainfall, finding that the increased deformation region is positively correlated with increasing pore water pressure and water content values, while the infiltration of rainfall softens weak interlayers and leads to failure of the slope toe first, followed by the middle and upper parts sliding and failing sequentially. The proposed improved region growing segmentation method showed a significantly reduced average identification error in X and Y directions compared to the original method, indicating its potential for high-precision identification of rock slope deformation in complex scenes.

MEASUREMENT (2022)

Article Environmental Sciences

Wavelet Analysis of Dam Injection and Discharge in Three Gorges Dam and Reservoir with Precipitation and River Discharge

Lirong Yin et al.

Summary: This study aims to analyze the changes in river discharge and regional precipitation records before and after the construction of the Three Gorges Dam. The findings show a decrease in precipitation and reduced variability after the dam was built, as well as a decrease in river discharge.
Article Environmental Sciences

Evaluation of Empirical Atmospheric Models Using Swarm-C Satellite Data

Lirong Yin et al.

Summary: This paper verifies the inversion results of the Swarm-C accelerometer and evaluates its accuracy in determining atmospheric density. The results show that the inversion results obtained from the Swarm-C accelerometer are more dynamic and real-time, making it a valuable instrument for related studies. Additionally, the performance of the JB2008 and NRLMSISE-00 empirical atmospheric models are compared and evaluated using the Swarm-C accelerometer inversion results, with the JB2008 model showing better accuracy and real-time performance at the altitude where the Swarm-C satellite is located.

ATMOSPHERE (2022)

Article Environmental Sciences

Statistical analysis of regional air temperature characteristics before and after dam construction

Ziyi Chen et al.

Summary: This paper focuses on the impact of mega-dam construction on regional climate, specifically analyzing the influence of Xiaolangdi Dam on the Yellow River and Three Gorges Dam on the Yangtze River. The results show that dam construction led to a decrease in temperature in the reservoir area and an increase in temperature in the downstream area. The rise in water level also caused a decrease in temperature in the reservoir area and reduced the temperature difference.

URBAN CLIMATE (2022)

Article Agronomy

Agro Climatic Zoning of Saffron Culture in Miyaneh City by Using WLC Method and Remote Sensing Data

Ali Zamani et al.

Summary: Recent droughts and decreasing ground water tables have led to efforts to improve irrigation schedules and introduce crops with lower water requirements. A study in Miyaneh used Landsat-8 images and the weighted linear combination method to identify suitable zones for saffron cultivation. The results showed that the southeastern and northwestern regions of Miyaneh are particularly suitable for saffron cultivation.

AGRICULTURE-BASEL (2022)

Article Geochemistry & Geophysics

Development of Similar Materials for Liquid-Solid Coupling and Its Application in Water Outburst and Mud Outburst Model Test of Deep Tunnel

Yanhui Guo et al.

Summary: This study develops fault similar materials and surrounding similar rock materials based on the fluid-solid coupling similarity theory. Through testing and analysis, the influence of red clay content and gravel substrate on the mechanical and hydraulic properties of the materials is revealed.

GEOFLUIDS (2022)

Article Geography, Physical

Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network

Qingyang Wang et al.

Summary: This paper proposes a novel method for selecting a mosaic seamline network in orthophotos using a continuous space ant colony algorithm. Experiments demonstrate that the proposed method achieves better performance compared to existing commercial software and algorithms.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)

Article Computer Science, Artificial Intelligence

TBSM: A traffic burst-sensitive model for short-term prediction under special events

Yilong Ren et al.

Summary: Traffic prediction is crucial for traffic guidance and control, and it serves as a valuable decision-making tool for travelers to plan their routes and avoid congested roads. To tackle the challenge of short-term traffic prediction for special events, a traffic burst-sensitive model (TBSM) is proposed, which outperforms traditional machine learning and deep learning approaches according to experimental results.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Chemistry, Analytical

Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan

Bilal Aslam et al.

Summary: This study evaluates the performance of three machine learning techniques and two multi-criteria decision-making methods for mapping landslide susceptibility in the Chitral district. The study also creates landslide inventory maps from satellite images using the change vector analysis method. The accuracy assessment shows that the machine learning techniques outperform the multi-criteria decision-making methods, with support vector machines achieving the highest accuracy.

SENSORS (2022)

Article Geosciences, Multidisciplinary

Integrated geophysical technique for groundwater salinity delineation, an approach to agriculture sustainability for Nankana Sahib Area, Pakistan

Syed Hassan Iqbal Ahmad Shah et al.

Summary: Due to climatic dryness and shortage of surface water, Pakistani farmers have to rely on groundwater for irrigation. This study used vertical electrical soundings and water sample collection to determine suitable freshwater depths for installing tube wells. The results showed that the central and southeastern regions have good groundwater, while the northwestern region has unfit groundwater.

GEOMATICS NATURAL HAZARDS & RISK (2022)

Article Environmental Sciences

Trends of Rainfall Variability and Drought Monitoring Using Standardized Precipitation Index in a Scarcely Gauged Basin of Northern Pakistan

Muhammad Farhan Ul Moazzam et al.

Summary: This study focuses on rainfall variability and drought monitoring in the northern region of Pakistan. The results show an increasing trend of rainfall in the study area, with a projected decrease in precipitation in the latter half of the century, which could lead to more severe drought conditions. The study highlights the importance of proper water resource management to address future water scarcity.
Article Geosciences, Multidisciplinary

Mining-Induced Stress and Ground Pressure Behavior Characteristics in Mining a Thick Coal Seam With Hard Roofs

Zhijie Zhu et al.

Summary: The study investigates the influence of a hard roof structure on stress performance and coal pillar stability in a coal mine. Numerical simulation is used to analyze stress behavior and pillar stability under different roof strengths. The results reveal that the hard roof is the main cause of strong ground pressure in the mine.

FRONTIERS IN EARTH SCIENCE (2022)

Article Acoustics

A Novel Reconstruction Method for Temperature Distribution Measurement Based on Ultrasonic Tomography

Bo Zhu et al.

Summary: This article proposes a novel two-step reconstruction method for precise temperature distribution measurement, which provides high-resolution images and maintains high accuracy. By utilizing equilibrium optimizer and Gaussian process regression techniques, it effectively improves the resolution of temperature distribution images and reduces reconstruction errors.

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2022)

Article Engineering, Civil

An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network

Chuanjun Zhan et al.

Summary: This study develops an integrated inversion framework for efficiently generating heterogeneous aquifer structures. The framework is shown to generate heterogeneous aquifer structures with geostatistical characteristics and has a shorter training time compared to traditional methods.

JOURNAL OF HYDROLOGY (2022)

Article Forestry

Spatiotemporal Distribution Patterns of Climbers along an Abiotic Gradient in Jhelum District, Punjab, Pakistan

Muhammad Majeed et al.

Summary: This study examined the taxonomic diversity, richness, and distribution patterns of climber communities in the western Himalayas and investigated the influence of abiotic factors on their distributions. The results revealed that abiotic factors significantly affected the distribution patterns and structures of climber communities. These findings are essential for understanding the biological, ecological, and economic value of climbers and for forest management and ecological restoration in the Himalayas.

FORESTS (2022)

Article Environmental Sciences

Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models

Saadia Sultan Wahla et al.

Summary: This study aims to predict droughts by studying the changes of climatic factors and indices. Through the use of the random forest algorithm and various climate variables, the study found that the SPEI index has good predictive performance for drought prediction.

GEOCARTO INTERNATIONAL (2022)

Article Mathematical & Computational Biology

Predicting Divorce Prospect Using Ensemble Learning: Support Vector Machine, Linear Model, and Neural Network

Mian Muhammad Sadiq Fareed et al.

Summary: Divorce is a legal step taken by married couples to end their marriage. The global divorce rate has been increasing over the years, and predicting divorce factors involves the use of support vector machines, passive aggressive classifiers, and neural networks.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)

Article Environmental Sciences

Timely Plastic-Mulched Cropland Extraction Method from Complex Mixed Surfaces in Arid Regions

Chenhao Fu et al.

Summary: In this study, a timely extraction method for Plastic-Mulched Cropland (PMC) was proposed in a complex and inhomogeneous arid region in northwest China. The Timely Plastic-mulched cropland Extraction Method (TPEM) showed efficiency and robustness in extracting PMC, especially in widely distributed complex mixed surfaces, outperforming previously used methods.

REMOTE SENSING (2022)

Article Environmental Studies

An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping

Israr Ullah et al.

Summary: This study used machine learning techniques to map the landslide susceptibility in the Abbottabad region of Pakistan. The results showed that lithology, NDWI, slope, and LCCS were the significant factors influencing landslide occurrence. Among the three machine learning models, LiR performed the best.
Article Environmental Sciences

Spatio-temporal variation of seasonal heat islands mapping of Pakistan during 2000-2019, using day-time and night-time land surface temperatures MODIS and meteorological stations data

Aqil Tariq et al.

Summary: Urban heat islands in Pakistan pose severe risks to human health, with projected temperature rise due to climate change. This study used satellite imagery and meteorological data to analyze the spatial variability of heat islands in Pakistan from 2000 to 2019. The results highlight the significant variation in nocturnal temperature and the severity of heat islands in various cities across Pakistan.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2022)

Article Environmental Studies

Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data

Sajjad Hussain et al.

Summary: This study utilized remote sensing and GIS techniques with MLC to examine LULC changes over 40 years in the Sahiwal District, showing an increase in built-up areas and decrease in vegetation areas. Survey results indicate that the majority of farmers believe climate change has impacted agriculture, with a decrease in rainfall intensity.
Review Energy & Fuels

Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review

Xiaoying Zhang et al.

Summary: The physical and biogeochemical heterogeneity in geological formations significantly impacts fluid flow and solute transport behaviors, making upscaling a valid approach for estimating large-scale parameters. Deterministic and stochastic are the two main categories of upscaling methodologies, with volume averaging being widely applicable and numerical solutions gaining popularity. The gap between approach algorithms and real-world applications calls for an integrated upscaling framework incorporating uncertainty quantification techniques, data sciences, and artificial intelligence for future geo-energy research.

APPLIED ENERGY (2021)

Article Computer Science, Information Systems

Label constrained convolutional factor analysis for classification with limited training samples

Jian Chen et al.

Summary: This paper introduces a novel approach for small sample classification, the Label Constrained Convolutional Factor Analysis (LCCFA) model, which uses dictionary atoms as small convolution kernels to learn shared features of observed data and improve classification performance. By projecting weight vectors onto class labels, it increases inter-class separability, and efficient parameter estimation is achieved through the VB algorithm.

INFORMATION SCIENCES (2021)

Article Multidisciplinary Sciences

Landslide susceptibility assessment using the Weight of Evidence method: A case study in Xunyang area, China

Yanbo Cao et al.

Summary: This study aimed to create a landslide susceptibility map for Xunyang District in a mountainous area, considering geological, geomorphological, river network, and human activities factors. The results showed that slope angles, weathered strata, and road network density significantly influence landslide distribution.

PLOS ONE (2021)

Article Meteorology & Atmospheric Sciences

Impact of the Indian Ocean Dipole on Evolution of the Subsequent ENSO: Relative Roles of Dynamic and Thermodynamic Processes

Zhang Yue et al.

Summary: The study investigates the complex interaction between the Indian Ocean Dipole (IOD) and El Nino-Southern Oscillation (ENSO), focusing on the impacts of IOD on ENSO in the subsequent year. The findings suggest that IOD can lead to anomalous sea surface temperature (SST) cooling patterns over the equatorial Pacific, resembling a La Nina-like pattern in the following year. Additionally, the study highlights the important role of net heat flux, oceanic processes, and wind-evaporation-SST feedback in driving SST cooling associated with IOD.

JOURNAL OF CLIMATE (2021)

Article Computer Science, Information Systems

A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China

Wei Xie et al.

Summary: A hybrid method combining GeoDetector and machine learning cluster was developed to assess landslide susceptibility, with the SVM model performing the best in the machine learning cluster and selected as the assessment model. The method effectively evaluated landslide susceptibility.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Forestry

Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan

Aqil Tariq et al.

Summary: This study assessed wildfires and prescribed fires in the Margalla Hills of Pakistan using remote sensing techniques, comparing the severity of different types of fires in different seasons. The research found significant differences in severity between summer wildfires and prescribed fires, with the SAR variable NSR p_95 identified as a suitable alternative for detecting fire events.

FORESTS (2021)

Article Environmental Sciences

Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery

Haifeng Tian et al.

Summary: This paper evaluates the potential of using Sentinel-2 data to map winter crops in the early growth stage, demonstrating that winter garlic and winter wheat can be distinguished four months before harvest, while winter canola can be distinguished two months before harvest. With an overall classification accuracy of 96.62%, Sentinel-2 images prove to be an important data source for accurately identifying these winter crops in the field of agricultural remote sensing.

REMOTE SENSING (2021)

Article Environmental Sciences

Shallow Groundwater Quality Assessment and Its Suitability Analysis for Drinking and Irrigation Purposes

Muhammad Yousuf Jat Baloch et al.

Summary: Hydrogeochemical analysis was conducted on groundwater samples from Sakrand, Sindh, Pakistan, with evaluations of ion abundance and water types using various analysis methods and diagrams. Results indicated that most groundwater in the region is suitable for drinking, but some areas show water quality unsuitability for both drinking and irrigation purposes.
Article Plant Sciences

Strawberry Fungal Leaf Scorch Disease Identification in Real-Time Strawberry Field Using Deep Learning Architectures

Irfan Abbas et al.

Summary: Plant health is crucial for agricultural development, and diseases significantly impact crop losses. Deep learning models, such as EfficientNet-B3 and VGG-16, show high accuracy in identifying leaf scorch disease in strawberry plants. These trained CNN models can be integrated with a machine vision system for real-time image acquisition and disease identification.

PLANTS-BASEL (2021)

Article Economics

Assessment of the sustainable development of rural minority settlements based on multidimensional data and geographical detector method: A case study in Dehong, China

Fei Zhao et al.

Summary: This study focused on the sustainable development of rural ethnic minorities in Dehong, China. By accurately identifying rural minority areas and analyzing various factors, a Sustainable Development Index (SDI) was constructed to quantitatively analyze the sustainable development and influencing factors of each minority nationality, revealing variations in sustainable development among different ethnic minorities.

SOCIO-ECONOMIC PLANNING SCIENCES (2021)

Article Engineering, Civil

Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards

Sheng Wang et al.

Summary: The study demonstrates that bias correction methods for radar and satellite QPE can significantly improve the accuracy of predicting floods and landslides. A correction time interval of 24 hours is found to achieve optimal results in the bias correction process. Both gauge density and spatial resolution impact the accuracy of bias correction methods, but even a small number of rain gauge observations can help reduce uncertainty in radar and satellite QPE.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles

Haifeng Tian et al.

Summary: This study successfully mapped summer maize planting areas in China using composited time-series Sentinel-1A imagery. The VH-polarized images were found to be more sensitive to the growth cycle of summer maize, with an overall accuracy of 96.55% and a kappa coefficient of 0.93.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2021)

Article Geosciences, Multidisciplinary

Landslide hazard assessment based on Bayesian optimization-support vector machine in Nanping City, China

Wei Xie et al.

Summary: The study proposed a novel approach for landslide hazard assessment using support vector machine (SVM) and Bayesian optimization (BO) algorithm and achieved better accuracy compared to the traditional SVM model. Through multicollinearity diagnosis and model validation, the optimized SVM model showed higher accuracy in landslide assessment.

NATURAL HAZARDS (2021)

Article Environmental Sciences

Assessment of the sustainability of Gymnocypris eckloni habitat under river damming in the source region of the Yellow River

Quan Quan et al.

Summary: This study investigated the impact of climate change and hydropower generation on the survival of indigenous fish in the source region of the Yellow River and proposed appropriate solutions. The results indicated that global warming is expected to reduce the negative effects caused by hydropower generation and increase the inhabitable area for fish.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Environmental Sciences

Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan

Pingbo Hu et al.

Summary: This study comprehensively evaluated the spatiotemporal variability and dynamics of vegetation in Punjab, Pakistan, from 2000 to 2019. The results showed consistent phenological metrics for most types of vegetation, with the greatest variance observed in the NDVI index.
Article Environmental Sciences

Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan

Hassan Waqas et al.

Summary: The study generated a flash flood map in Pakistan's Chitral District using AHP and FR models, identifying high-risk zones and providing policy guidelines for various stakeholders.
Article Environmental Sciences

Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Syed Hassan Iqbal Ahmad Shah et al.

Summary: The study utilized the DRASTIC model to estimate aquifer vulnerability in areas vulnerable to anthropogenic pollution. The results categorized the research area into high, medium, low, and very low drastic index values, with the SW and NE areas identified as the most vulnerable zones. Additionally, VES and EC results showed a freshwater aquifer in the NE area, brackish water in the SE area, and brackish water in the rest of the area. Validation conducted for the DRASTIC and EC models showed a positive correlation, highlighting the need for wastewater treatment policies to prevent groundwater contamination.
Article Construction & Building Technology

GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China

Bin Li et al.

Summary: This study evaluated the landslide susceptibility of Huangyuan County of Qinghai by analyzing multiple parameters and using the information method, frequency ratio model, and artificial neural network model. The results indicated that the terrain humidity index had the greatest impact on landslide occurrences, and the artificial neural network model was identified as the best evaluation model for the study area.

ADVANCES IN CIVIL ENGINEERING (2021)

Article Engineering, Electrical & Electronic

Comparison Analysis of Five Waveform Decomposition Algorithms for the Airborne LiDAR Echo Signal

Guoqing Zhou et al.

Summary: This article compares and analyzes the performance of five waveform decomposition algorithms under different topographic conditions, revealing that the Gaussian algorithm has the largest fitting error in forested areas, the Adaptive Gaussian algorithm can fit complex waveforms but has more outliers, and the Gold and RL algorithms decompose the largest number of waveform components in forested areas. The Gold algorithm is effective for processing data in areas with dense vegetation at a lowest false component detection rate.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Engineering, Electrical & Electronic

Hyperspectral Image Classification Using a Hybrid 3D-2D Convolutional Neural Networks

Saeed Ghaderizadeh et al.

Summary: The study introduces the application of 3-D-CNN in hyperspectral image classification, discusses the current issues and solutions, and proposes a hybrid CNN method to address feature extraction and model complexity problems.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Environmental Studies

Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan

Muhammad Fahad Baqa et al.

Summary: Understanding the spatial growth of Karachi, Pakistan using satellite data and machine learning algorithms revealed expansion in the primary urban core and emergence of a new secondary urban core, with built-up area increasing at the expense of agricultural land. Implementation of afforestation programs improved vegetation coverage in the study area.
Article Computer Science, Information Systems

Generalized Buffering Algorithm

Guoqing Zhou et al.

Summary: This study introduces a generalized buffering algorithm (GBA) to meet the high accuracy demands of buffer analysis. Experimental results indicate that the proposed GBA can improve the deficiencies and accuracy of traditional buffering algorithms (TBA) in practical applications.

IEEE ACCESS (2021)

Article Environmental Sciences

A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling

Binh T. Pham et al.

GEOCARTO INTERNATIONAL (2019)

Article Geosciences, Multidisciplinary

Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia

Ivica Milevski et al.

OPEN GEOSCIENCES (2019)

Article Multidisciplinary Sciences

Governing factors influence on rock slope stability - Statistical analysis for plane mode of failure

Tarun Kumar Raghuvanshi

JOURNAL OF KING SAUD UNIVERSITY SCIENCE (2019)

Article Geosciences, Multidisciplinary

Landslide susceptibility assessment using frequency ratio model in Bogor, West Java, Indonesia

Florence Elfriede Sinthauli Silalahi et al.

GEOSCIENCE LETTERS (2019)

Article Geosciences, Multidisciplinary

Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China

Ke Zhang et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2019)

Article Environmental Sciences

Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan

Hawas Khan et al.

EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES (2019)

Review Geosciences, Multidisciplinary

Analysis and evaluation of landslide susceptibility: a review on articles published during 2005-2016 (periods of 2005-2012 and 2013-2016)

Hamid Reza Pourghasemi et al.

ARABIAN JOURNAL OF GEOSCIENCES (2018)

Review Geosciences, Multidisciplinary

A review of statistically-based landslide susceptibility models

Paola Reichenbach et al.

EARTH-SCIENCE REVIEWS (2018)

Article Engineering, Electrical & Electronic

Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling

Hyun-Joo Oh et al.

JOURNAL OF SENSORS (2017)

Article Geosciences, Multidisciplinary

Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods

V. Vakhshoori et al.

GEOMATICS NATURAL HAZARDS & RISK (2016)

Article Geosciences, Multidisciplinary

Rapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines

Dymphna Nolasco-Javier et al.

NATURAL HAZARDS (2015)

Article Geography, Physical

Landslide susceptibility zonation: A case study of the Municipality of Banja Luka (Bosnia and Herzegovina)

Radislav Tosic et al.

ACTA GEOGRAPHICA SLOVENICA-GEOGRAFSKI ZBORNIK (2014)

Article Geosciences, Multidisciplinary

GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece

Christos Chalkias et al.

GEOSCIENCES (2014)

Article Environmental Sciences

Modelling land use change across elevation gradients in district Swat, Pakistan

Muhammad Qasim et al.

REGIONAL ENVIRONMENTAL CHANGE (2013)

Article Multidisciplinary Sciences

Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network

Mutasem Sh. Alkhasawneh et al.

SCIENTIFIC WORLD JOURNAL (2013)

Article Geosciences, Multidisciplinary

Analysis of flood causes and associated socio-economic damages in the Hindukush region

Atta-ur-Rahman et al.

NATURAL HAZARDS (2011)

Article Engineering, Environmental

Rainfall thresholding and susceptibility assessment of rainfall-induced landslides: application to landslide management in St Thomas, Jamaica

Servel Miller et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2009)