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JournalISSN: 1947-5705

Geomatics, Natural Hazards and Risk 

Taylor & Francis
About: Geomatics, Natural Hazards and Risk is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Landslide & Geology. It has an ISSN identifier of 1947-5705. It is also open access. Over the lifetime, 1047 publications have been published receiving 19297 citations. The journal is also known as: Geomatics, natural hazards and risk.


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Journal ArticleDOI
TL;DR: The results show that the random landslide training data selection affected the parameter estimations of the SVM, LR and ANN algorithms and had an effect on the accuracy of the susceptibility model because landslide conditioning factors vary according to the geographic locations in the study area.
Abstract: Landslide is a natural hazard that results in many economic damages and human losses every year. Numerous researchers have studied landslide susceptibility mapping (LSM), each attempting to improve the accuracy of the final outputs. However, few studies have been published on the training data selection effects on the LSM. Thus, this study assesses the training landslides random selection effects on support vector machine (SVM) accuracy, logistic regression (LR) and artificial neural networks (ANN) models for LSM in a catchment at the Dodangeh watershed, Mazandaran province, Iran. A 160 landslide locations inventory was collected by Geological Survey of Iran for this investigation. Different methods were implemented to define the landslide locations, such as inventory reports, satellite images and field survey. Moreover, 14 landslide conditioning factors were considered in the analysis of landslide susceptibility. These factors include curvature, plan curvature, profile curvature, altitude, slope ...

334 citations

Journal ArticleDOI
TL;DR: In this article, the authors assess the efficiency of analytical hierarchical process (AHP) to identify potential flood hazard zones by comparing with the results of a hydraulic model, and the normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods.
Abstract: Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and mitigation of flood. The present research was aimed to assess the efficiency of analytical hierarchical process (AHP) to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters via distance to river, land use, elevation and land slope were used in some part of the Yasooj River, Iran. In order to determine the weight of each effective factor, questionnaires of comparison ratings on the Saaty's scale were prepared and distributed to eight experts. The normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods. The set of criteria were integrated by weighted linear combination method using ArcGIS 10.2 software to generate flood hazard prediction map. The inundation...

259 citations

Journal ArticleDOI
TL;DR: A multipurpose UAV (unmanned aerial vehicle) for mountain rescue operations designed to meet environmental requirements for mountainous terrain, assuring the capability of carrying different payloads such as avalanche beacon (ARTVA) with automatic signal recognition and path following algorithms.
Abstract: This paper presents a multipurpose UAV (unmanned aerial vehicle) for mountain rescue operations. The multi-rotors based flying platform and its embedded avionics are designed to meet environmental requirements for mountainous terrain such as low temperatures, high altitude and strong winds, assuring the capability of carrying different payloads (separately or together) such as: avalanche beacon (ARTVA) with automatic signal recognition and path following algorithms for the rapid location of snow-covered body; camera (visible and thermal) for search and rescue of missing persons on snow and in woods during the day or night; payload deployment to drop emergency kits or specific explosive cartridge for controlled avalanche detachment. The resulting small (less than 5 kg) UAV is capable of full autonomous flight (including take-off and landing) of a pre-programmed, or easily configurable, custom mission. Furthermore, the autopilot manages the sensors measurements (i.e. beacons or cameras) to update th...

251 citations

Journal ArticleDOI
TL;DR: In this paper, an ensemble method, which demonstrated efficiency in GIS-based flood modeling, was used to create flood probability indices for the Damansara River catchment in Malaysia, which is used to estimate...
Abstract: In this paper, an ensemble method, which demonstrated efficiency in GIS based flood modeling, was used to create flood probability indices for the Damansara River catchment in Malaysia. To estimate...

249 citations

Journal ArticleDOI
TL;DR: In this article, the authors created flood-susceptibility maps for the Seoul metropolitan area, for which random-forest and boosted-tree models are used in a geographic information system (GIS) environment.
Abstract: Since flood frequency increases with the impact of climate change, the damage that is emphasized on flood-risk maps is based on actual flooded area data; therefore, flood-susceptibility maps for the Seoul metropolitan area, for which random-forest and boosted-tree models are used in a geographic information system (GIS) environment, are created for this study. For the flood-susceptibility mapping, flooded-area, topography, geology, soil and land-use datasets were collected and entered into spatial datasets. From the spatial datasets, 12 factors were calculated and extracted as the input data for the models. The flooded area of 2010 was used to train the model, and the flooded area of 2011 was used for the validation. The importance of the factors of the flood-susceptibility maps was calculated and lastly, the maps were validated. As a result, the distance from the river, geology and digital elevation model showed a high importance among the factors. The random-forest model showed validation accura...

212 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202384
2022130
2021139
2020125
2019125
201872