A5087743827- Flood Risk Assessment and Management
- Landslides and related hazards
- Fire effects on ecosystems
- Hydrology and Watershed Management Studies
- Groundwater and Watershed Analysis
- Species Distribution and Climate Change
- Hydrology and Drought Analysis
- Remote-Sensing Image Classification
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Earthquake Detection and Analysis
- Soil erosion and sediment transport
- Tropical and Extratropical Cyclones Research
- Hydrology and Sediment Transport Processes
- Soil Geostatistics and Mapping
- earthquake and tectonic studies
- Cryospheric studies and observations
- Yersinia bacterium, plague, ectoparasites research
- Soil and Land Suitability Analysis
- Urban Heat Island Mitigation
- Geotechnical Engineering and Analysis
- Mosquito-borne diseases and control
- Genetic diversity and population structure
Kandilli Observatory and Earthquake Research Institute
2020-2024
Boğaziçi University
2020-2024
RMIT University
2017-2020
University of New England
2017-2019
Sejong University
2016
Universiti Putra Malaysia
2013-2015
The aim of this research was to evaluate the predictive performances frequency ratio (FR), logistic regression (LR) and weight evidence (WoE), in flood susceptibility mapping China. In addition, ensemble WoE LR FR techniques were applied used evaluation. inventory map, consisting 196 locations, extracted from a number sources. data randomly divided into testing data-set, allocating 70% for training, remaining 30% validation. 15 conditioning factors included spatial database altitude, slope,...
Statistical methods are the most popular techniques to model and map flood-prone areas. Although a wide range of statistical have been used, application index (Wi) method has not examined in flood susceptibility mapping. The aim this research was assess efficiency Wi compare its outcomes with results frequency ratio (FR) logistic regression (LR) methods. Thirteen factors, namely, altitude, slope, aspect, curvature, geology, soil, landuse/cover (LULC), topographic wetness (TWI), stream power...
Land use/land cover (LULC) classification with high accuracy is necessary, especially in eco-environment research, urban planning, vegetation condition study and soil management. Over the last decade a number of algorithms have been developed for analysis remotely sensed data. The most notable are object-oriented K-Nearest Neighbour (K-NN), Support Vector Machines (SVMs) Decision Trees (DTs) amongst many others. In this study, LULC types Selangor area were analyzed on basis results acquired...
Landslide mapping is indispensable for efficient land use management and planning. inventory maps must be produced various purposes, such as to record the landslide magnitude in an area examine distribution, types, forms of slope failures. The this information enables study susceptibility, hazard, risk, well evolution landscapes affected by landslides. In tropical countries, precipitation during monsoon season triggers hundreds landslides mountainous regions. preparation a regions...
In this study, we propose and test a novel ensemble method for improving the accuracy of each in flood susceptibility mapping using evidential belief function (EBF) support vector machine (SVM). The outcome proposed was compared with results method. implemented four times different SVM kernels. Hence, efficiency kernel also assessed. First, bivariate statistical analysis EBF performed to assess correlations among classes conditioning factor flooding. Subsequently, first stage used...
Invasive weed species (IWS) threaten ecosystems, the distribution of specific plant species, as well agricultural productivity. Predicting impact climate change on current and future distributions these unwanted forms an important category ecological research. Our study investigated 32 globally IWS to assess whether alteration may lead spatial changes in overlapping globally. We utilized versatile model MaxEnt, coupled with Geographic Information Systems, evaluate potential alterations...
Abstract Aims The Middle East, located in the arid belt of Earth, is home to a diverse range biodiversity, with its mountain ecosystems being most important centres species diversity and endemism. In this study, impact climate change on alpine bird East was assessed across five systems: Alborz–Kopet‐Dagh, Caucasus–Pontic, Levant–Taurus, Sarawat–Hijaz Zagros–Central Iran. Location East. Methods Using distribution models (SDMs), 38 native were analysed under different scenarios. We also...
Landslide susceptibility mapping is indispensable for disaster management and planning development operations in mountainous regions. The potential use of light detection ranging (LiDAR) data was explored this study deriving landslide-conditioning factors the spatial prediction landslide-susceptible areas a landslide-prone area Ulu Klang, Malaysia. Nine factors, such as altitude, slope, aspect, curvature, stream power index (SPI), topographic wetness (TWI), terrain roughness (TRI), sediment...
Floods are among the most destructive natural disasters worldwide. In flood disaster management programs, mapping is an initial step. This research proposes efficient methodology to recognize and map flooded areas by using TerraSAR-X imagery. First, a satellite image was captured during event in Kuala Terengganu, Malaysia, inundated areas. Multispectral Landsat imagery then used detect water bodies prior flooding. synthetic aperture radar (SAR) imagery, locations appear black; thus, both...
To have sustainable management and proper decision-making, timely acquisition analysis of surface features are necessary. Traditional pixel-based is the popular way to extract different categories, but it not comparable by achievements that can be achieved through object-based method uses additional characteristics in process classification. In this paper, three types classification were used classify SPOT 5 satellite image mapping land cover; Support vector machine (SVM) pixel-based, SVM...