Earth Science Informatics

Papers
(The TQCC of Earth Science Informatics is 5. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques87
Active learning based on SVM and representativity in a coal mining environment66
Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things66
Extraction of terrain ridge lines and valley lines based on agglomeration analysis of terrain points: a cluster analysis method65
Correction: Extraction of maize canopy temperature and variation factor analysis based on multi-source unmanned aerial vehicle remote sensing data54
Concatenating data-driven and reduced-physics models for smart production forecasting52
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world’s major urban cities48
Hyperspectral image classification based on channel perception mechanism and hybrid deformable convolution network44
Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran44
Roughness Estimation of Multi-Scale Rock Joints based on SfM & MVS Photogrammetry with A DSLR Camera in Animation Mode41
A hybrid of RainNet and genetic algorithm in nowcasting prediction41
Spatial analysis of potential natural vegetation and habitat suitability changes on the Loess Plateau using high-resolution climate data and LPJ-GUESS model39
A Conditional Generative Adversarial Network for urban area classification using multi-source data38
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains36
Determination of the stress concentration factor adjacent an extracted underground coal panel using the CART and MARS algorithms35
Lithology identification of logging data based on improved neighborhood rough set and AdaBoost35
Machine learning and hyperspectral imaging to predict soil water content: methodology and field validation34
Inversion model for snow geophysical parameters estimation using sentinel–1 stokes parameter32
Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province32
Efficient weighted naive bayes classifiers to predict air quality index28
Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP28
Towards the internet of underwater things: a comprehensive survey27
Short-term wind speed prediction model based on long short-term memory network with feature extraction26
Evaluating the efficiency and accuracy of the copula-based rainfall-runoff model26
Artificial neural network methodology: application to predict plasticity of clay soil treated with sand26
Modeling soil water retention curves by pore fractal dimension based on microstructure image26
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review26
Methods for landslide detection based on lightweight YOLOv4 convolutional neural network25
Assessing the forecasting accuracy of intense precipitation events in Iran using the WRF model25
Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence24
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images24
Optimizing the wells location using the Metaheuristic algorithms, as well as optimizing the drilling time of production and injection wells in one of the reservoirs in south west of Iran23
Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa23
Classification and detection of natural disasters using machine learning and deep learning techniques: A review23
FKgrain: A topography-based software tool for grain segmentation and sizing using factorial kriging22
ET2Spatial – software for georeferencing of eye movement data22
Application of fuzzy logic and neural networks for porosity analysis using well log data: an example from the Chanda Oil Field, Northwest Pakistan22
Fractal characteristics of lineaments extracted from OLI images at different time phases22
Construction and application of integrated entropy model for measuring precipitation complexity21
Daily Wildfire Risk Prediction by Mining Global and local spatio-temporal dependency21
Precise quantitative evaluation of the risk level of coal mine water inrush accidents based on the CW-BN model20
Segmentation of crack disaster images based on feature extraction enhancement and multi-scale fusion20
GNSS-A observation model with attached oceanic slowness gradient20
Optimizing support vector machines for enhanced permeability prediction in sandstone reservoirs using systematic and heuristic hyperparameter tuning20
Mapping flood inundation in Baro Akobo Basin, Itang area, Ethiopia: integrating machine learning and process-based models20
Transitional shale reservoir quality evaluation based on Random Forest algorithm—a case study of the Shanxi Formation, eastern Ordos Basin, China19
Enhancing landslide susceptibility mapping through advanced hybridization of bootstrap aggregating based decision tree algorithms19
Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models19
Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine19
DPMFformer: an underwater image enhancement network based on deep pooling and multi-scale fusion transformer19
Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation19
Assessing the feasibility of copula functions for estimating soil properties: a case study in Hunan Province19
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques18
Assessing land degradation neutrality in semi-arid dryland agroecosystems of the matabeleland North province of Zimbabwe18
Assessment of groundwater level using satellite-based hydrological parameters in North-West India: A deep learning approach18
A comparative study of LULC classifiers for analysing the cover management factor and support practice factor in RUSLE model18
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks18
EADCN-BCSR: A novel framework for accurate and real-time waste detection and classification17
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning17
Log-based estimation of magnitude, azimuth and causes of anisotropy using a committee machine-based model17
Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China17
Integrated image defogging network based on improved atmospheric scattering model and attention feature fusion16
Assessment of forest cover dynamics for the detection of deforestation in the Hindu Kush Himalayan region using geospatial and machine learning approaches16
A multi-scale attention encoding and dynamic decoding network designed for short-term precipitation forecasting16
Improving permeability modeling using artificial neural networks in Lower Safa sand reservoir, JG field, Abu El-Gharadig basin, Western Desert, Egypt16
Spatiotemporal investigation of scaling properties of precipitation using high resolution data16
A change type determination method based on knowledge of spectral changes in land cover types16
Assessment of frost heave in coarse-grained soil: a novel application of multi-strategy enhanced dung beetle-optimized KELM model16
Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm16
Real-time flash flood detection employing the YOLOv8 model16
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms16
RUSLE/SDR for assessment of soil erosion by a new non-convex regression16
Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment16
Predicting urban tomorrow: CA-Markov modeling and district evolution16
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area15
Combining social media data and meteorological sensors for urban flood detection: a statistical analysis in São Paulo City15
Metsat: a MATLAB code to calculate, and visualize METOP B satellite data for global climatic monitoring15
How does extreme point sampling affect non-extreme simulation in geographical random forest?15
Design and evaluation of a cloud-oriented procedure based on SAR and Multispectral data to detect burnt areas15
Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization15
Research on lithology identification based on multi-sensor hybrid domain information fusion and support vector machine15
Advancing multi-pollutant air quality forecasting using Transformer-based Informer architecture15
Numerical simulation to estimate the conductive thermal state model – Mexican EGS zones as study cases15
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach14
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques14
Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms14
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting14
MRISNet:Deep-learning-based Martian instance segmentation against blur14
Multiple data-driven approaches for estimating daily streamflow in the Kone River basin, Vietnam14
Correction to: Land use and land cover classification using machine learning algorithms in google earth engine14
Modelling of GNSS station position time series using deep learning approaches14
Satellite image classification using deep learning approach14
Estimation of regional-scale near real time reference evapotranspiration using remote sensing and weather data to improve agriculture advisory14
Seismic facies analysis using machine learning techniques: a review and case study14
Impervious surface Mapping and its spatial–temporal evolution analysis in the Yellow River Delta over the last three decades using Google Earth Engine14
Few-shot learning for name entity recognition in geological text based on GeoBERT14
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas14
PCA-VGG16 model for classification of rock types14
Correction to: Seasonal assessment of cross-shore morphodynamic behaviour of wave-dominated beaches using data-driven analysis13
Spatiotemporal prediction of grassland net primary productivity using deep learning models integrating temporal decomposition and spatial clustering: a case study in source region of the Yellow River,13
Geoid modeling with least squares modification of Hotine’s integral using gravity disturbances in Turkey13
High-efficiency method for 3D visualization of marine environmental information13
Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms13
Geochronology and structural deformation of Precambrian metamorphic basement in the eastern Jiangnan orogenic belt: constraints on the assembly time of the Yangtze and Cathaysia blocks13
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods13
Short-term prediction of wave height based on a deep learning autoregressive integrated moving average model13
Evaluation of TerraClimate gridded data across diverse climates in Iran13
Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms13
Modelling of the environmental sustainability assessment index for inhabited islands13
K-Means Featurizer: A booster for intricate datasets13
Selecting the best backbone model: A comprehensive evaluation of deep learning models for satellite image-based land cover classification13
A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks13
Assessment of rainfall and climate change patterns via machine learning tools and impact on forecasting in the City of Kigali13
Digital mapping of coastal landscapes integrating ocean-environment relationships and machine learning12
A hybrid key agreement scheme utilized elliptic curve Diffie-Hellman for IoT based advanced metering environment12
A fidelity evaluation model for watermarked vector maps based on improved fuzzy comprehensive evaluation and random forest12
Performance of various gridded precipitation and temperature products against gauged observations over Turkey12
Ensemble machine learning model for exploration and targeting of Pb-Zn deposits in Algeria12
Climatic variables impact on inland lakes water levels and area fluctuations in an arid/semi-arid region of Iran, Iraq, and Turkey based on the remote sensing data12
Long-term shoreline dynamics of South Kerala Coast using satellite images12
Prediction of the petroliferous area in WZ6-1 structure of Beibu Gulf Basin in the South China Sea based on PCA-SOM model12
Soft computing approaches for predicting boron contamination in arid sandstone groundwater12
A Tri-Training method for lithofacies identification under scarce labeled logging data12
Integration Sentinel-1 SAR data and machine learning for land subsidence in-depth analysis in the North Coast of Central Java, Indonesia12
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest12
Ultra-short-term photovoltaic power prediction based on modal reconstruction and BiLSTM-CNN-Attention model12
A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement11
Predicting seawater intrusion wedge length in coastal aquifers using hybrid gradient boosting techniques11
Adaptive water delineation algorithms for L- and C-band SAR imagery: a comparative analysis11
Improvement of deep learning Method for water body segmentation of remote sensing images based on attention modules11
Modelling radium equivalent activity from 226Ra, 232Th, and 40K series of recycled waste materials: Analytical and artificial intelligence approaches11
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China11
Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection11
A review of downscaling methods of satellite-based precipitation estimates11
Estimation of the elastic modulus of basaltic rocks using machine learning methods11
A point and interval forecasting of solar irradiance using different decomposition based hybrid models11
Framework for developing IDF curves using satellite precipitation: a case study using GPM-IMERG V6 data11
Geomorphological evolution of small watershed on the Chinese Loess Plateau based on slope shape spectra11
DNA dynamic coding-based encryption algorithm for vector map considering global objects11
Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis11
Routing land use changes using the landscape ecology approach in Isfahan city, central Iran11
Exploring hybrid models for forecasting $$CO_2$$ emissions in drought-prone Somalia: a comparative analysis11
Robust geometric estimation of the plate-fixed velocities from PPP solutions11
Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia11
Empirical correlations between uniaxial compressive strength and density on the basis of lithology: implications from statistical and machine learning assessments11
Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data11
U-TWGAN: Underwater image enhancement via wavelet-transformer and sparse multilayer perceptrons generative adversarial network11
Forecasting future scenarios of coastline changes in Türkiye's Seyhan Basin: a comparative analysis of statistical methods and Kalman Filtering (2033–2043)10
Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco10
Determination of the performance of training algorithms and activation functions in meteorological drought index prediction with nonlinear autoregressive neural network10
Research on prediction method of reservoir key parameters using deep network architecture based on cross feature fusion with optimization mechanism10
Best worst method-based mineral prospectivity modeling over the Central part of the Southern Kibi-Winneba Belt of Ghana10
AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing10
Influence of different tectonic settings on fracture formation and fluid flow around upper-crustal magmatic intrusion: insights from numerical modelling10
Implementation of the BIRCH algorithm to construct a data-adaptive network design for regional gravity field modeling via SRBF10
Dual-color space color correction and histogram segmentation optimized strategy for underwater image enhancement10
Reverting rupture processes based on fast synthesized 3D Green’s functions: application to the 2010 EI mayor-Cucapah earthquake and the 2017 Jiuzhaigou earthquake10
Object-based image analysis for extracting regional slope units and its application10
Ultra-short-term wind speed hybrid forecasting model based on maximal information coefficient-optimized TVF-EMD and resTKAN10
Geospatial modelling of rainfall erosivity in the humid tropics using remotely sensed data10
Correction to: Characterization of hydrothermal alteration along geothermal wells using unsupervised machine-learning analysis of X-ray powder diffraction data9
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models9
MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction9
Geolocation bias correction for CARTOSAT-1 stereo images through virtual ground control points generation over mountainous areas9
Carbonate lithofacies classification in optical microscopy: a data-centric approach using augmentation and GAN synthetic images9
Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method9
Spatial-temporal Assessment of Environmental Law violation patterns in permanent preservation Areas from Southern of Minas Gerais State, Brazil9
Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction9
DBA-YOLO: A Lightweight Fire DetectionAlgorithm with Structural Reparameterized Multiple Attention Mechanisms9
Predicting the concentration of sulfate using machine learning methods9
Optimized water depth retrieval using satellite imageries based on novel algorithms9
Geostatistical and multivariate analysis of phosphate evolution and its relationship with heavy metals in shallow groundwater in a Semi-Arid Basin9
KG-Unet: a knowledge-guided deep learning approach for seismic facies segmentation9
A new benchmark for spatiotemporal fusion of Sentinel-2 and Sentinel-3 OLCI images9
SRBF_Soft: a Python-based open-source software for regional gravity field modeling using spherical radial basis functions based on the data-adaptive network design methodology9
Domain-informed multi-step wind speed forecasting: evaluating extreme wind conditions and seasonal variations9
Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world’s largest sanctuary for Jaguars9
Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data9
Earthquake-induced building damage detection using the fusion of optical and radar data in intelligent systems9
Landsat 8 and ASTER remote sensing data for ore prospecting in the postmasburg manganese ore field, South Africa9
A novel feature fusion-based stratum image recognition method for drilling rig9
Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data9
Revealing hidden risks: advanced assessment of urban land subsidence9
A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran9
The geospatial modelling of vegetation carbon storage analysis in Google earth engine using machine learning techniques9
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-29
Correction: Improving the modeling of bathymetry in the Persian Gulf and the Oman Sea using data assimilation of geodetic observation data9
An enhanced discovery of multiple natural disasters using machine learning model9
Susceptibility assessment of small, shallow and clustered landslide9
Global monthly sea surface temperature forecasting using the SARIMA, LSTM, and GRU models9
Performance evaluation of dimensionality reduction techniques on hyperspectral data for mineral exploration9
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning8
Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms8
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain8
Detection of multivariate geochemical anomalies using machine learning (ML) algorithms in Dehaq Pb-Zn mineralization, Sanandaj-Sirjan zone, Isfahan, Iran8
Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS8
Designing a deep learning-based framework for the prediction of lake surface closed curves8
Analysis of geomorphologic features of the circular structure in the south of Lufeng Dinosaur Valley8
Spatiotemporal sediment yield variability in the Upper Blue Nile Basin, Ethiopia8
Monitoring vegetation dynamics across land use types in Iran: spatiotemporal relationships with soil temperature and water volume8
Methodology of conceptual specification of models in global tectonics8
Performance analysis of open-source DEMs in tsunami inundation modelling8
Mapping and analysing framework for extreme precipitation-induced flooding8
Enhancing formation bulk density prediction while drilling using mud logging data and interpretable boosting machine learning8
A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India8
Multi-scale spatiotemporal wind forecasting network in Southwest China8
A novel deep learning approach based on automatic weighted average ensemble for accurate forest burn scar extraction in Indian tropical deciduous forest8
An approach based on performer-attention-guided few-shot learning model for plant disease classification8
Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye8
Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks8
Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis8
Data-driven approaches for estimation of sediment discharge in rivers8
CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph8
TL-iTransformer: Revolutionizing sea surface temperature prediction through iTransformer and transfer learning8
Optimized modified single shot multibox detector with hybrid encryption algorithm for satellite image security and classification8
Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM8
Deep learning-based predictive models of land subsidence and collapsed pipes in Razavi Khorasan Province, Iran7
Predicting the magnitude of an impending earthquake using deep learning techniques7
Prediction of the height of water-conducting fracture zone using the FA-ALO-SVR model7
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization7
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration7
Constraint information extraction for 3D geological modelling using a span-based joint entity and relation extraction model7
RDF-G*: An efficient RDF query answer engine based on graph model and star index7
Stabilized Long Short Term Memory (SLSTM) model: a new variant of the LSTM model for predicting ozone concentration data7
Metakaolin as a soil stabilizing admixture: A comprehensive analysis of California bearing ratio and consolidation behavior using experimental and machine learning approaches7
Explainable machine learning-based land subsidence susceptibility mapping: from feature importance to individual model contributions in ensembled system7
Exploring the Indian summer monsoon rainfall through multifractal detrended fluctuation analysis and the principle of entropy maximization7
Using fractal and multifractal methods to reveal geophysical anomalies in Sardouyeh District, Kerman, Iran7
AI-driven forecasting of river discharge: the case study of the Himalayan mountainous river7
Depth estimation from multispectral satellite imagery: a comparison of conventional and machine learning-based approaches- case study: Kish Island, Persian Gulf7
Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China7
Prediction of petrophysical static rock type through nonlinear dimensionality reduction and mutual information7
Knowledge map analysis of coal mine water disaster prevention and control in China from 2000 to 20237
Estimating relative uncertainty of geological 3D models with low density of input data in geologically complex regions7
Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition7
A novel method for predicting wind speed using data decomposition-based reformer model7
A novel image fusion-based post classification framework for agricultural variations detection using Sentinel-1 and Sentinel-2 data7
Construction of a predictive model of shovel productivity applying machine learning algorithms7
Variational mode decomposition coupled LSTM with encoder-decoder framework: an efficient method for daily streamflow forecasting7
Application of machine learning techniques for wetland type mapping in the Numto Nature Park (Western Siberia)7
DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing7
Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network7
National flood susceptibility mapping in Saudi Arabia7
Assessment of ecological restoration effectiveness and quantitative analysis of multiple driving forces in high groundwater-level coal mining subsidence areas of the main Urban District7
Statistical evaluation of multiple interpolation techniques for spatial mapping of highly variable geotechnical facets of soil in natural deposition7
Assessment of land-use dynamics of the Aravalli range (India) using integrated geospatial and CART approach6
Application of state-of-the-art machine learning algorithms for slope stability prediction by handling outliers of the dataset6
Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer6
Land use and land cover classification using machine learning algorithms in google earth engine6
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas6
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