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Geomatics, Natural Hazards & Risk
Scopus
ISSN 1947-5705 · Taylor & Francis Group · 1.748 artikel di indeks
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Artikel Jurnal
Fuzzy-decision trees models for flood hazard modeling in the Danube Delta
This study proposes an innovative methodological framework for assessing flood susceptibility in deltaic areas, by integrating fuzzy logic with three decision tree algorithms: CART, Random Forest and Alternating Decision Tree. The novelty of the research lies in the explicit combination of the…
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Artikel Jurnal
Integrating geospatial data and hybrid machine learning models for landslide susceptibility assessment in semi-arid environments
Landslides are destructive natural hazards with severe impacts on human safety, infrastructure, and the environment. Accurate mapping and prediction of landslide-prone areas are essential for effective risk management and mitigation. This study focuses on the Oued Lakhdar watershed, where three…
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Artikel Jurnal
Refined collapse susceptibility assessment in Tonghua city based on collapse source area data and multi-model coupling
Tonghua City in northeastern China, with steep terrain, heavy rainfall, and intensive human activity, is highly prone to collapses that endanger settlements and infrastructure, underscoring the need for refined susceptibility assessments. This study integrates Tonghua’s collapse disaster database…
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Artikel Jurnal
Scenario-driven data fusion for compound coastal flood risk and exposure assessment using night-time lights in Jeddah
Coastal cities are increasingly vulnerable to compound flooding caused by the combined effects of sea level rise, storm surge, tides, rainfall, and atmospheric pressure. However, integrated and scenario-based assessments remain limited, particularly in rapidly urbanizing and data-scarce regions…
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Artikel Jurnal
Evaluation of spatial susceptibility to collapse based on random forest: a case study in the mountainous area of Changping District, Beijing
Collapses represent a major geological threat in China's mountainous regions, which cover 65% of its land area. Accurate susceptibility assessment is crucial, yet human engineering impacts in peri-urban mountains remains poorly quantified. This study develops an interpretable Random Forest model…
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Artikel Jurnal
Urban agglomerations environmental heterogeneity and heatwave risks: spatiotemporal insights from remote sensing and public sentiment analysis
Urban agglomerations are global hotspots for escalating heatwave risks, where the complex interplay between environmental drivers and public emotional responses remains underexplored due to limitations in traditional research methods and data on heatwave impacts to public health. Pioneering a novel…
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Artikel Jurnal
Spatial multi-criteria decision analysis for groundwater recharge in a water-stressed region: a case study of the Guadalupe Valley Basin, Baja California, Mexico
The Guadalupe Valley Basin (GVB) in Baja California, Mexico, faces severe groundwater depletion from intensive agriculture, over-extraction, and declining precipitation. The water imbalance has been progressive, and an annual deficit of approximately 18 Mm3 was reported in 2024. In response, we…
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Artikel Jurnal
Spatial and temporal changes of social flood vulnerability in municipalities of Slovakia
Social flood vulnerability analysis is an inevitable task for effective flood risk assessment and management, as it defines the sensitivity, resistance, and resilience of people, households, and communities against floods. This study aimed to assess the spatial and temporal changes in social flood…
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Artikel Jurnal
Landslide recognition with sample augmentation based on a joint DCGAN and Pix2Pix
Landslides are among the most frequent and destructive geological hazards in mountainous regions; however, the ability to automatically identify landslides is often constrained by limited amounts of labelled samples, modest gains derived from traditional augmentation methods, and interference from…
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Artikel Jurnal
A hybrid algorithm for human interaction recognition from drone videos: experimental analysis to enhance disaster response and rescue
Human interaction recognition leverages computer vision and machine learning to detect and identify people, objects, and their relationships in videos. However, challenges such as video quality, interpersonal differences, large dataset requirements, scale variations, and computational complexity…
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Artikel Jurnal
GIS-based optimization framework for shelter site selection and population allocation under multi-hazard scenarios
Mountainous regions face heightened flood and landslide hazards, necessitating efficient population relocation strategies. This study develops an integrated optimization framework for shelter site selection and population allocation in multi-hazard environments. Flood susceptibility was evaluated…
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Artikel Jurnal
Risk assessment of transboundary locust habitat distribution and migration pathways under climate change: a case study of Kazakhstan and Xinjiang, China
Cross-border migration of Calliptamus italicus (C. italicus) and Locusta migratoria migratoria (L. migratoria migratoria) threatens agricultural security along the China-Kazakhstan border, yet their migration pathways remain poorly understood. This study integrates geospatial techniques (optimized…
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Artikel Jurnal
Analysis of public opinions on natural disasters on short-video social media based on the Latent Dirichlet Allocation and prompt-BERT-TextCNN models
In the era of new media, social media platforms have become crucial venues for disseminating public event information and forming public opinion, with insufficient analysis of public opinion evolution on short-video-based social media platforms. Taking the major public emergency event ‘2023 Hebei…
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Artikel Jurnal
Dynamic monitoring of grassland land cover types of Inner Mongolia 1990–2023 and testing the causal relationship between meteorological data and grassland area
The area of global grassland ecosystems has been continuously declining over the past few decades. For this purpose, this study compared the classification performance of random forest (RF) and support vector machine (SVM) algorithms in large-scale land cover mapping using Landsat series of…
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Artikel Jurnal
Sampling effects on machine-learning performance and tectonic controls on landslide susceptibility: insights from the Adra River basin (SE Spain)
This study develops an improved methodological framework for landslide susceptibility assessment in the Adra River basin (SE Spain), where landslides affect nearly 13% of the territory and their spatial distribution is strongly controlled by geology and tectonics. While single-point sampling is…
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Artikel Jurnal
Village geohazard resilience assessment based on contribution weight superposition and Shannon entropy method- a case study in Dechang County, China
It is essential to assess geohazard resilience at the village level for evidence-based geohazard mitigation and planning. This study introduces a framework that evaluates geohazard resilience in terms of the performance of geohazards, as well as the physical, social and informational dimensions…
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Artikel Jurnal
A framework of evidence-based multi-hazard risk screening for disaster risk reduction and resilience planning
Multi-hazard risk assessment is essential for informed decision-making in disaster risk reduction (DRR). However, conducting fine-scale disaster risk assessments for a large number of elements at risk remains challenging. This study proposes a bottom-up, evidence-based framework for multi-hazard…
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Artikel Jurnal
Seasonal variability of particulate matter pollutants in Abuja, Nigeria
This study examines the seasonal variability of particulate matter (PM₂.₅ and PM₁₀) in Abuja, Nigeria, from January 2021 to December 2022, using high-resolution data from PurpleAir sensors. It analyzes spatiotemporal trends, meteorological influences, PM₂.₅/PM₁₀ ratios as source indicators, and air…
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Artikel Jurnal
Towards a risk-informed land system approach in the age of artificial intelligence and analysis-ready satellite data
Despite the increasing availability of satellite imagery, its potential within the Land System Science (LSS) framework remains underexploited, especially in relation to identification and management of emerging risks. A key barrier lies in the technical complexity of raw Earth Observation (EO)…
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Artikel Jurnal
Spatiotemporal patterns and zonation of typhoon and non-typhoon extreme rainfall hazards in the typical coastal region of southeastern China
To enhance extreme rainfall risk assessment in East Asia, it is critical to distinguish typhoon and non-typhoon rainfall, assessing the spatiotemporal patterns of their extreme rainfall hazards and conducting corresponding spatial zonation. Taking Fujian, China’s southeastern coast, as a typical…
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