Geocarto International

Papers
(The median citation count of Geocarto International is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees133
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images81
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost79
Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping73
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins71
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential67
A new high resolution filter for source edge detection of potential field data65
Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach64
Novel ensemble machine learning models in flood susceptibility mapping61
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping58
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction58
Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs49
Evaluating urban environment quality (UEQ) for Class-I Indian city: an integrated RS-GIS based exploratory spatial analysis48
Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models46
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier42
Distribution, exposure, and human health risk analysis of heavy metals in drinking groundwater of Ghayen County, Iran42
Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics42
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India41
Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 201940
Edge detection of potential field sources using the softsign function37
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India35
Detailed and automated classification of land use/land cover using machine learning algorithms in Google Earth Engine34
Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region34
A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level33
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data32
Structural interpretation of potential field data using the enhancement techniques: a case study32
Assessing and mapping landslide susceptibility using different machine learning methods31
Toward the development of deep learning analyses for snow avalanche releases in mountain regions31
Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree30
Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region30
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt30
Prediction of suspended sediment concentration using hybrid SVM-WOA approaches30
Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest29
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning29
Spatial distribution of heavy metal and risk indices of water and sediments in the Kunhar River and its tributaries28
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques28
Osdes_net: oil spill detection based on efficient_shuffle network using synthetic aperture radar imagery28
Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia28
Landslide susceptibility mapping in three Upazilas of Rangamati hill district Bangladesh: application and comparison of GIS-based machine learning methods27
Debris flows modeling using geo-environmental factors: developing hybridized deep-learning algorithms26
Impacts of land use/land cover patterns on groundwater quality in the Guanzhong Basin of northwest China26
Estimation of regional surface deformation post the 2001 Bhuj earthquake in the Kachchh region, Western India using RADAR interferometry26
Optimization of statistical and machine learning hybrid models for groundwater potential mapping26
Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques26
Furthering the precision of RUSLE soil erosion with PSInSAR data: an innovative model26
Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges25
Flash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning25
Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios25
Advances in satellite remote sensing of the wetland ecosystems in Sub-Saharan Africa25
Evaluation of groundwater quality and its suitability for drinking purposes in semi-arid region of Southern India: an application of GIS24
Polymetallic mineralization prospectivity modelling using multi-geospatial data in logistic regression: The Diapiric Zone, Northeastern Algeria24
A novel combination of deep neural network and Manta ray foraging optimization for flood susceptibility mapping in Quang Ngai province, Vietnam24
Comparison of ANN model and GIS tools for delineation of groundwater potential zones, Fincha Catchment, Abay Basin, Ethiopia24
Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping24
Spatial variation of surface urban heat island magnitude along the urban-rural gradient of four rapidly growing Indian cities23
A comparative assessment of multi-criteria decision analysis for flood susceptibility modelling23
Landslide susceptibility mapping using state-of-the-art machine learning ensembles23
Detection and analysis of drought over Turkey with remote sensing and model-based drought indices23
Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach22
Investigating persistent scatterer InSAR (PSInSAR) technique efficiency for landslides mapping: a case study in Artvin dam area, in Turkey22
Structural mapping of potential field sources using BHG filter22
Landslide susceptibility assessment in Zhenxiong County of China based on geographically weighted logistic regression model22
Segmentation and sampling method for complex polyline generalization based on a generative adversarial network22
Simulation of land use/land cover change at a basin scale using satellite data and markov chain model22
Impacts of groundwater and climate variability on terrestrial groundwater dependent ecosystems: a review of geospatial assessment approaches and challenges and possible future research directions21
Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood21
Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes21
Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach21
Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling21
Assessment of agricultural land suitability using GIS and fuzzy analytical hierarchy process approach in Ranchi District, India21
Spatio-temporal patterns of wildfires in Siberia during 2001–202021
Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping20
Mapping groundwater potential zones using relative frequency ratio, analytic hierarchy process and their hybrid models: case of Nzhelele-Makhado area in South Africa20
Forest fire susceptibility prediction using machine learning models with resampling algorithms, Northern part of Eastern Ghat Mountain range (India)20
Ecological environment quality assessment of Xishuangbanna rubber plantations expansion (1995–2018) based on multi-temporal Landsat imagery and RSEI19
A bibliometric analysis of the landslide susceptibility research (1999–2021)19
A graph deep learning approach for urban building grouping19
Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network19
National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh19
COVID-19 slowdown induced improvement in air quality in India: rapid assessment using Sentinel-5P TROPOMI data19
Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia19
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network19
Assessing spatiotemporal variation in drought characteristics and their dependence on timescales over Vidarbha Region, India19
Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images-A systematic review18
Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya18
Estimation of spatio-temporal variability in land surface temperature over the Ganga River Basin using MODIS data18
Potential risks assessment of heavy metal(loid)s contaminated vegetables in Pakistan: a review18
A novel GIS-based MCDM approach to identify the potential eco-tourism sites in the Eastern Dooars region (Himalayan foothill) of West Bengal, India18
Structural and tectonic interpretation of EGM2008 gravity data around the Laccadive ridge in the Western Indian Ocean: an implication to continental crust18
Flash flood vulnerability assessment of roads in China based on support vector machine18
Land use/land cover mapping from airborne hyperspectral images with machine learning algorithms and contextual information18
Application of novel deep boosting framework-based earthquake induced landslide hazards prediction approach in Sikkim Himalaya17
Estimation of mustard and wheat phenology using multi-date Shannon entropy and Radar Vegetation Index from polarimetric Sentinel- 117
Spatio-temporal analysis and simulation of land cover changes and their impacts on land surface temperature in urban agglomeration of Bisha Watershed, Saudi Arabia17
Sustainable development goals (SDGs) associated with flash flood hazard mapping and management measures through morphometric evaluation17
Prediction of land cover change based on CA-ANN model to assess its local impacts on Bagerhat, southwestern coastal Bangladesh17
Prediction of land use land cover changes of a river basin using the CA-Markov model17
Automatic extraction of large-scale aquaculture encroachment areas using Canny Edge Otsu algorithm in Google earth engine – the case study of Kolleru Lake, South India17
Mission to earth: LANDSAT 9 will continue to view the world17
Compiling a high-resolution country-level ecosystem map to support environmental policy: methodological challenges and solutions from Hungary17
Evaluation and analysis of upscaling of different land use/land cover products (FORM-GLC30, GLC_FCS30, CCI_LC, MCD12Q1 and CNLUCC): a case study in China16
A comparative assessment of modeling groundwater vulnerability using DRASTIC method from GIS and a novel classification method using machine learning classifiers16
Application of machine learning algorithms in landslide susceptibility mapping, Kali Valley, Kumaun Himalaya, India16
Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches16
Retrieval of monthly maximum and minimum air temperature using MODIS aqua land surface temperature data over the United Arab Emirates16
High resolution inventory and hazard assessment of potentially dangerous glacial lakes in upper Jhelum basin, Kashmir Himalaya, India16
Improving Water Quality Index prediction for water resources management plans in Malaysia: application of machine learning techniques16
Novel application of Google earth engine interpolation algorithm for the development of geotechnical soil maps: a case study of mega-district16
Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India16
Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model16
Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China16
Urban wetland fragmentation and ecosystem service assessment using integrated machine learning algorithm and spatial landscape analysis16
Spatial distribution of contaminants and water quality assessment using an indexical approach, Astore River basin, Western Himalayas, Northern Pakistan15
Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest15
Land suitability analysis for paddy crop using GIS-based Fuzzy-AHP (F-AHP) method in Koch Bihar district, West Bengal15
Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods15
Analyzing sensitivity of flood susceptible model in a flood plain river basin15
Flood risk assessment: role of mitigation capacity in spatial flood risk mapping15
Cloud detection using sentinel 2 imageries: a comparison of XGBoost, RF, SVM, and CNN algorithms15
Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models15
Geomorphic assessment of active tectonics in Jaisalmer basin (Western Rajasthan, India)15
Application of remotely sensed sea surface temperature for assessment of recurrent coral bleaching (2014–2019) impact on a marginal coral ecosystem15
Spatial modelling of accidents risk caused by driver drowsiness with data mining algorithms15
Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP615
Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India)15
Soil erosion spatio-temporal exploration and Geodetection of driving factors using InVEST-sediment delivery ratio and Geodetector models in Dongsheng, China15
PS-InSAR based validated landslide susceptibility modelling: a case study of Ghizer valley, Northern Pakistan15
Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter14
Evaluation of re-sampling methods on performance of machine learning models to predict landslide susceptibility14
Flood susceptibility modeling in the urban watershed of Guwahati using improved metaheuristic-based ensemble machine learning algorithms14
Revealing potential areas of water resources using integrated remote-sensing data and GIS-based analytical hierarchy process14
Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model14
Flood hazard assessment in Yemen using a novel hybrid approach of Grey Wolf and Levenberg Marquardt optimizers14
Variance based fusion of VCI and TCI for efficient classification of agriculture drought using MODIS data14
Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan14
Remote sensing and GIS for urbanization and flood risk assessment in Phnom Penh, Cambodia14
Channel dynamics and geomorphological adjustments of Kaljani River in Himalayan foothills14
Flash flood susceptibility mapping in urban area using genetic algorithm and ensemble method14
Comparative evaluation of operational land imager sensor on board landsat 8 and landsat 9 for land use land cover mapping over a heterogeneous landscape14
From land cover to land use: applying random forest classifier to Landsat imagery for urban land-use change mapping14
Glacier mass loss in the Alaknanda basin, Garhwal Himalaya on a decadal scale14
Spatial distribution of heavy metals contamination and risk indices evaluation in sediments of Indus River and its tributaries, Pakistan14
Deep semantic segmentation for detecting eucalyptus planted forests in the Brazilian territory using sentinel-2 imagery14
High-resolution land use and land cover change analysis using GEOBIA and landscape metrics: A case of Istanbul, Turkey13
Detecting the invasive fall armyworm pest incidence in farm fields of southern India using Sentinel-2A satellite data13
Analyzing shoreline dynamicity and the associated socioecological risk along the Southern Odisha Coast of India using remote sensing-based and statistical approaches13
Application of Sentinel-1 data in mapping land-use and land cover in a complex seasonal landscape: a case study in coastal area of Vietnamese Mekong Delta13
Use of time series normalized difference vegetation index (NDVI) to monitor fall armyworm ( Spodoptera frugiperda ) damage on maize production systems in Africa13
Temporal fluctuations of siachen glacier velocity: a repeat pass sar interferometry based approach13
Spatial modeling of radon potential mapping using deep learning algorithms13
Flash flood susceptibility mapping using stacking ensemble machine learning models13
A novel change detection method using remotely sensed image time series value and shape based dynamic time warping13
Human cognition based framework for detecting roads from remote sensing images13
Improved folded-PCA for efficient remote sensing hyperspectral image classification13
Spatial surface velocity pattern in the glaciers of Chandra Basin, Western Himalaya12
Integrating remote sensing, GIS and in-situ data for structural mapping over a part of the NW Rif belt, Morocco12
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia12
Spatial and temporal trends of urban green spaces: an assessment using hyper-temporal NDVI datasets12
Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models12
Land degradation assessment using AHP and GIS-based modelling in Duhok District, Kurdistan Region, Iraq12
Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data12
A novel hybrid approach using SVM and spectral indices for enhanced land use land cover mapping of coastal urban plains12
Multi-sensor datasets-based optimal integration of spectral, textural, and morphological characteristics of rocks for lithological classification using machine learning models12
Urban surface water bodies mapping using the automatic k-means based approach and sentinel-2 imagery12
Application of neural network model-based framework approach to identify gully erosion potential hotspot zones in sub-tropical environment12
Mapping of fracture zones and structural lineaments of the Gulf of Guinea passive margins using marine gravity data from CryoSat-2 and Jason-1 satellites12
A comparative study on the peak detection methods used to interpret potential field data: a case study from Vietnam11
Assessing land use/land cover change diversity and its relation with urban dispersion using Shannon Entropy in the Semarang Metropolitan Region, Indonesia11
Pixel-based vs. object-based anthropogenic impervious surface detection: driver for urban-rural thermal disparity in Faridabad, Haryana, India11
Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin11
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran11
Inventory and GLOF hazard assessment of glacial lakes in the Sikkim Himalayas, India11
Detecting Li-bearing pegmatites using geospatial technology: the case of SW Konar Province, Eastern Afghanistan11
Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India11
Evaluation of climate change impacts on future gully erosion using deep learning and soft computational approaches11
Mineral prospectivity mapping: a potential technique for sustainable mineral exploration and mining activities – a case study using the copper deposits of the Tagmout basin, Morocco11
Hybrid models based on deep learning neural network and optimization algorithms for the spatial prediction of tropical forest fire susceptibility in Nghe An province, Vietnam11
Assessing the impacts of human interventions and climate change on fluvial flooding using CMIP6 data and GIS-based hydrologic and hydraulic models11
Accuracy assessment of RTK/PPK UAV-photogrammetry projects using differential corrections from multiple GNSS fixed base stations11
Novel ensemble approach for landslide susceptibility index assessment in a mountainous environment of India11
Spatiotemporal patterns of agricultural and meteorological droughts using SPI and MODIS-based estimates over a Brazilian semiarid region: study case of Upper Paraíba River basin11
Rapid method for yearly LULC classification using Random Forest and incorporating time-series NDVI and topography: a case study of Thanh Hoa province, Vietnam11
Some non-uniformity patterns spread over the lower Mahanadi River Basin, India11
Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-211
Ecosystem services value assessment and forecasting using integrated machine learning algorithm and CA-Markov model: an empirical investigation of an Asian megacity11
Developing groundwater potentiality models by coupling ensemble machine learning algorithms and statistical techniques for sustainable groundwater management11
Spatio-temporal pattern of urban eco-environmental quality of Indian megacities using geo-spatial techniques11
Modelling and mapping of landslide susceptibility regulating potential ecosystem service loss: an experimental research in Saudi Arabia11
A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI11
Application of SWAT, Random Forest and artificial neural network models for sediment yield estimation and prediction of gully erosion susceptible zones: study on Mayurakshi River Basin of Eastern Indi10
Stripe segmentation of oceanic internal waves in SAR images based on SegNet10
Delineation of groundwater potential zones of upper Godavari sub-basin of India using bi-variate, MCDM and advanced machine learning algorithms10
Measuring land deformation in a mega city Karachi-Pakistan with sentinel SAR interferometry10
Assessing the trends and drivers of land use land cover change in district Abbottabad lower Himalayan Region Pakistan10
Comparing Landsat-8 and Sentinel-2 top of atmosphere and surface reflectance in high latitude regions: case study in Alaska10
An integrated ASTER-based approach for mapping carbonatite and iron oxide-apatite deposits10
Comparing rotation forests and extreme gradient boosting for monitoring drought damage on KwaZulu-Natal commercial forests10
Impact of linear transport infrastructure on fluvial connectivity across the catchments of West Bengal, India10
Detecting short-term surface melt over Vestre Broggerbreen, Arctic glacier using indigenously developed unmanned air vehicles10
How to exploit BIM/IFC for 3D registration of ownership rights in multi-storey buildings: an evidence from Turkey10
Quantifying the influence of plot-level uncertainty in above ground biomass up scaling using remote sensing data in central Indian dry deciduous forest10
Climate change enhances the positive contribution of human activities to vegetation restoration in China10
Advanced machine learning models development for suspended sediment prediction: comparative analysis study10
Tree's detection & health's assessment from ultra-high resolution UAV imagery and deep learning10
GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models10
Assessment of Gini-, entropy- and ratio-based classification trees for groundwater potential modelling and prediction10
Accuracy comparison of various remote sensing data in lithological classification based on random forest algorithm10
Estimating mangrove above-ground biomass at Maowei Sea, Beibu Gulf of China using machine learning algorithm with Sentinel-1 and Sentinel-2 data10
Improving the 3D model accuracy with a post-processing kinematic (PPK) method for UAS surveys10
Quantifying urban expansion from 1985 to 2018 in large cities worldwide10
Delineation of structural lineaments of the Southwest Sub-basin (East Vietnam Sea) using global marine gravity model from CryoSat-2 and Jason-1 satellites10
Novel combination of analytical hierarchy process and weighted sum analysis for watersheds prioritization. A study of Ulindi catchment, Congo River Basin10
Detection of diseased pine trees in unmanned aerial vehicle images by using deep convolutional neural networks10
Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization10
Vegetation activity enhanced in India during the COVID-19 lockdowns: evidence from satellite data9
Short-term temporal and spatial analysis for post-fire vegetation regrowth characterization and mapping in a Mediterranean ecosystem using optical and SAR image time-series9
Multivariate analysis and modeling of shoreline changes using geospatial data9
Surface subsidence monitoring with an improved distributed scatterer interferometric SAR time series method in a filling mining area9
Performance of high-resolution precipitation datasets CHIRPS and TerraClimate in a Colombian high Andean Basin9
Analysis of spatiotemporal variation in the snow cover in Western Hindukush-Himalaya region9
Analysis of wildfires and associated emissions during the recent strong ENSO phases in Southern Africa using multi-source remotely-derived products9
A deep-learning model for national scale modelling and mapping of sea level rise in Malaysia: the past, present, and future9
Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia9
Spatial and temporal evolution of carbon stocks in Dongting Lake wetlands based on remote sensing data9
Monitoring impacts of ecological engineering on ecosystem services with geospatial techniques in karst areas of SW China9
Introducing Theil-Sen estimator for sun glint correction of UAV data for coral mapping9
Sub-watershed prioritization for soil erosion potentiality estimation in tenughat catchment, India9
PSI and GNSS derived ground subsidence detection in the UNESCO Heritage City of Ahmedabad, Western India9
An approach for multi-dimensional land subsidence velocity estimation using time-series Sentinel-1 SAR datasets by applying persistent scatterer interferometry technique9
Deep convolutional neural networks and Swin transformer-based frameworks for individual date palm tree detection and mapping from large-scale UAV images9
Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology9
Hydrometeorological disaster risk assessment in upper Gori–Ramganga catchment, Uttarakhand, India9
Comparison of statistical and machine learning approaches in land subsidence modelling9
Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia9
Mapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plain9
Stacking state-of-the-art ensemble for flash-flood potential assessment9
Evaluating the impact of land use and land cover change on unprotected wetland ecosystems in the arid-tropical areas of South Africa using the Landsat dataset and support vector machine9
Fusion of time-series optical and SAR images using 3D convolutional neural networks for crop classification9
The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco)9
An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping9
Mapping the global spatio-temporal dynamics of COVID-19 outbreak using cartograms during the first 150 days of the pandemic9
Glacial lake changes and the identification of potentially dangerous glacial lakes (PDGLs) under warming climate in the Dibang River Basin, Eastern Himalaya, India9
Analysing climatic variability and extremes events in the Himalayan regions focusing on mountainous urban agglomerations9
Machine learning for sinkhole risk mapping in Guidonia-Bagni di Tivoli plain (Rome), Italy9
VIIRS boat detection (VBD) product-based night time fishing vessels observation in the Arabian Sea and Bay of Bengal Sub-regions9
Spectral response feature bands extracted from near standard soil samples for estimating soil Pb in a mining area9
Assessment of data mining, multi-criteria decision making and fuzzy-computing techniques for spatial flood susceptibility mapping: a comparative study9
Evaluation of spatio-temporal variations of FVC and its relationship with climate change using GEE and Landsat images in Ganjiang River Basin9
Deep learning based short-range forecasting of Indian summer monsoon rainfall using earth observation and ground station datasets9
Determining the Moho interface using a modified algorithm based on the combination of the spatial and frequency domain techniques: a case study from the Arabian Shield8
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