Earth Science Informatics

Papers
(The TQCC of Earth Science Informatics is 7. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Active learning based on SVM and representativity in a coal mining environment79
Correction: Extraction of maize canopy temperature and variation factor analysis based on multi-source unmanned aerial vehicle remote sensing data61
Hyperspectral image classification based on channel perception mechanism and hybrid deformable convolution network59
Evaluating the efficiency and accuracy of the copula-based rainfall-runoff model52
A combination-weighted Matter-element Extension model of water storage potential prediction in pore-fissure sandstone aquifer: case of study in Longwanggou Coalfield, Ordos basin, China51
A Conditional Generative Adversarial Network for urban area classification using multi-source data49
Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things49
G-ABORE: regularizing complex geometry building boundaries from pre-processed building LiDAR points using Bézier curve46
Modeling soil water retention curves by pore fractal dimension based on microstructure image44
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains40
Roughness Estimation of Multi-Scale Rock Joints based on SfM & MVS Photogrammetry with A DSLR Camera in Animation Mode39
HiLoF-GAN: high and low frequency information separation GAN for underwater image enhancement38
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques38
Inversion model for snow geophysical parameters estimation using sentinel–1 stokes parameter37
Hybrid model for high-speed rail wind speed forecasting based on improved transformer37
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world’s major urban cities37
Spatial analysis of potential natural vegetation and habitat suitability changes on the Loess Plateau using high-resolution climate data and LPJ-GUESS model35
Extraction of terrain ridge lines and valley lines based on agglomeration analysis of terrain points: a cluster analysis method33
Determination of the stress concentration factor adjacent an extracted underground coal panel using the CART and MARS algorithms33
Towards the internet of underwater things: a comprehensive survey31
Lithology identification of logging data based on improved neighborhood rough set and AdaBoost30
Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province30
Concatenating data-driven and reduced-physics models for smart production forecasting30
Machine learning based mapping of physicochemical attributes in the Colombian Pacific seafloor30
A hybrid of RainNet and genetic algorithm in nowcasting prediction30
Efficient weighted naive bayes classifiers to predict air quality index30
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review28
Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP28
Fractal characteristics of lineaments extracted from OLI images at different time phases27
Machine learning and hyperspectral imaging to predict soil water content: methodology and field validation27
Construction and application of integrated entropy model for measuring precipitation complexity27
Assessing the forecasting accuracy of intense precipitation events in Iran using the WRF model26
Assessing the feasibility of copula functions for estimating soil properties: a case study in Hunan Province26
Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa26
Segmentation of crack disaster images based on feature extraction enhancement and multi-scale fusion26
Artificial neural network methodology: application to predict plasticity of clay soil treated with sand25
Lithology prediction via multiscale feature-fusion convolutional neural networks25
Assessing land degradation neutrality in semi-arid dryland agroecosystems of the matabeleland North province of Zimbabwe25
Mapping flood inundation in Baro Akobo Basin, Itang area, Ethiopia: integrating machine learning and process-based models25
Transitional shale reservoir quality evaluation based on Random Forest algorithm—a case study of the Shanxi Formation, eastern Ordos Basin, China24
Daily Wildfire Risk Prediction by Mining Global and local spatio-temporal dependency24
ET2Spatial – software for georeferencing of eye movement data24
Enhancing landslide susceptibility mapping through advanced hybridization of bootstrap aggregating based decision tree algorithms24
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 Iran24
LLM-GeoCWS: a semi-supervised chinese word segmentation method using large language model for geoscience domain23
iHHO-CBS: Improved Harris Hawk optimization and cubic bezier smoothing framework combining T2T-ViT classification for evacuation route planning at emergency23
CNN-based transfer learning for self-potential inversion23
Seeing through the clouds: enhanced snow and cloud segmentation in sentinel-2 imagery with mDeepLabV3+23
Short-term wind speed prediction model based on long short-term memory network with feature extraction22
DPMFformer: an underwater image enhancement network based on deep pooling and multi-scale fusion transformer21
Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models21
Assessment of groundwater level using satellite-based hydrological parameters in North-West India: A deep learning approach21
Classification and detection of natural disasters using machine learning and deep learning techniques: A review21
GNSS-A observation model with attached oceanic slowness gradient21
Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine21
A comparative study of LULC classifiers for analysing the cover management factor and support practice factor in RUSLE model20
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images20
Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence20
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques20
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks20
Optimizing support vector machines for enhanced permeability prediction in sandstone reservoirs using systematic and heuristic hyperparameter tuning20
Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation20
Precise quantitative evaluation of the risk level of coal mine water inrush accidents based on the CW-BN model19
Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm19
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques19
EADCN-BCSR: A novel framework for accurate and real-time waste detection and classification19
Methods for landslide detection based on lightweight YOLOv4 convolutional neural network19
Improving permeability modeling using artificial neural networks in Lower Safa sand reservoir, JG field, Abu El-Gharadig basin, Western Desert, Egypt19
How does extreme point sampling affect non-extreme simulation in geographical random forest?19
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area19
Log-based estimation of magnitude, azimuth and causes of anisotropy using a committee machine-based model19
MRISNet:Deep-learning-based Martian instance segmentation against blur19
Sustainable water quality prediction using adaptive spider monkey optimization with Bi-LSTM19
Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment19
Scientific machine learning in hydrology: a unified perspective18
Spatio-temporal prediction model of landslide deep displacement based on VMD-GWO-LSTM and its application18
PCA-VGG16 model for classification of rock types18
Design and evaluation of a cloud-oriented procedure based on SAR and Multispectral data to detect burnt areas18
Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms18
Comparative analysis of deep learning architectures for multi-class mineral classification: a study using EfficientNet and ResNet models18
A change type determination method based on knowledge of spectral changes in land cover types18
Recognition of rock formation while drilling based on optimized machine learning algorithms18
Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization18
Spatiotemporal investigation of scaling properties of precipitation using high resolution data18
Numerical simulation to estimate the conductive thermal state model – Mexican EGS zones as study cases18
Combining social media data and meteorological sensors for urban flood detection: a statistical analysis in São Paulo City18
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting17
Advancing multi-pollutant air quality forecasting using Transformer-based Informer architecture17
Assessment of forest cover dynamics for the detection of deforestation in the Hindu Kush Himalayan region using geospatial and machine learning approaches17
Seismic facies analysis using machine learning techniques: a review and case study17
Assessment of frost heave in coarse-grained soil: a novel application of multi-strategy enhanced dung beetle-optimized KELM model17
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms17
RUSLE/SDR for assessment of soil erosion by a new non-convex regression17
Correction to: Land use and land cover classification using machine learning algorithms in google earth engine17
Evaluation of TerraClimate gridded data across diverse climates in Iran17
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 networks17
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach17
Predicting urban tomorrow: CA-Markov modeling and district evolution17
Impervious surface Mapping and its spatial–temporal evolution analysis in the Yellow River Delta over the last three decades using Google Earth Engine17
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning16
Accuracy enhancement in land subsidence prediction using lightgbm and metaheuristic optimization16
Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China16
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas16
Correction to: Seasonal assessment of cross-shore morphodynamic behaviour of wave-dominated beaches using data-driven analysis16
Estimation of regional-scale near real time reference evapotranspiration using remote sensing and weather data to improve agriculture advisory16
Multiple data-driven approaches for estimating daily streamflow in the Kone River basin, Vietnam16
Real-time flash flood detection employing the YOLOv8 model16
Research on lithology identification based on multi-sensor hybrid domain information fusion and support vector machine16
Geochronology and structural deformation of Precambrian metamorphic basement in the eastern Jiangnan orogenic belt: constraints on the assembly time of the Yangtze and Cathaysia blocks16
Satellite image classification using deep learning approach16
A multi-scale attention encoding and dynamic decoding network designed for short-term precipitation forecasting16
Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms16
Few-shot learning for name entity recognition in geological text based on GeoBERT16
Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms16
Modelling of GNSS station position time series using deep learning approaches16
Digital mapping of coastal landscapes integrating ocean-environment relationships and machine learning15
Empirical correlations between uniaxial compressive strength and density on the basis of lithology: implications from statistical and machine learning assessments15
Ensemble machine learning model for exploration and targeting of Pb-Zn deposits in Algeria15
Selecting the best backbone model: A comprehensive evaluation of deep learning models for satellite image-based land cover classification15
A Tri-Training method for lithofacies identification under scarce labeled logging data15
High-efficiency method for 3D visualization of marine environmental information15
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest15
Robust geometric estimation of the plate-fixed velocities from PPP solutions15
Prediction of the petroliferous area in WZ6-1 structure of Beibu Gulf Basin in the South China Sea based on PCA-SOM model15
Assessment of rainfall and climate change patterns via machine learning tools and impact on forecasting in the City of Kigali15
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods15
A point and interval forecasting of solar irradiance using different decomposition based hybrid models15
Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data15
Soft computing approaches for predicting boron contamination in arid sandstone groundwater15
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,14
Integration Sentinel-1 SAR data and machine learning for land subsidence in-depth analysis in the North Coast of Central Java, Indonesia14
Predicting seawater intrusion wedge length in coastal aquifers using hybrid gradient boosting techniques14
Geoid modeling with least squares modification of Hotine’s integral using gravity disturbances in Turkey14
K-Means Featurizer: A booster for intricate datasets14
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China14
Exploring hybrid models for forecasting $$CO_2$$ emissions in drought-prone Somalia: a comparative analysis14
Exploring challenges in deep learning of single-station ground motion records14
A hybrid key agreement scheme utilized elliptic curve Diffie-Hellman for IoT based advanced metering environment14
A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement14
Adaptive water delineation algorithms for L- and C-band SAR imagery: a comparative analysis14
Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia14
A fidelity evaluation model for watermarked vector maps based on improved fuzzy comprehensive evaluation and random forest14
Estimation of the elastic modulus of basaltic rocks using machine learning methods14
Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection14
Modelling radium equivalent activity from 226Ra, 232Th, and 40K series of recycled waste materials: Analytical and artificial intelligence approaches14
Martian Swiss Cheese detection and volume estimation using shape from shading in very high-resolution imagery14
Enhanced mineral targeting by using artificial intelligence-based modelling: remotely sensed and geochemical data for harnessing Co-Cr-Ni, and cupriferous mineral prospectivity mapping in Bou Azzer in14
U-TWGAN: Underwater image enhancement via wavelet-transformer and sparse multilayer perceptrons generative adversarial network14
Modelling of the environmental sustainability assessment index for inhabited islands14
MSTC: a unified encoding method for geophysical big data retrieval13
Dual-color space color correction and histogram segmentation optimized strategy for underwater image enhancement13
Ultra-short-term photovoltaic power prediction based on modal reconstruction and BiLSTM-CNN-Attention model13
DNA dynamic coding-based encryption algorithm for vector map considering global objects13
Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis13
Improvement of deep learning Method for water body segmentation of remote sensing images based on attention modules13
Object-based image analysis for extracting regional slope units and its application13
An enhanced discovery of multiple natural disasters using machine learning model13
Routing land use changes using the landscape ecology approach in Isfahan city, central Iran13
Long-term shoreline dynamics of South Kerala Coast using satellite images13
Coastal vulnerability assessment in Norway: a geoinformation-based approach13
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 data13
Landsat 8 and ASTER remote sensing data for ore prospecting in the postmasburg manganese ore field, South Africa13
Forecasting future scenarios of coastline changes in Türkiye's Seyhan Basin: a comparative analysis of statistical methods and Kalman Filtering (2033–2043)13
Performance of various gridded precipitation and temperature products against gauged observations over Turkey13
Geomorphological evolution of small watershed on the Chinese Loess Plateau based on slope shape spectra13
Short-term prediction of wave height based on a deep learning autoregressive integrated moving average model13
Geolocation bias correction for CARTOSAT-1 stereo images through virtual ground control points generation over mountainous areas12
Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method12
A new benchmark for spatiotemporal fusion of Sentinel-2 and Sentinel-3 OLCI images12
Geospatial modelling of rainfall erosivity in the humid tropics using remotely sensed data12
A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran12
Influence of different tectonic settings on fracture formation and fluid flow around upper-crustal magmatic intrusion: insights from numerical modelling12
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 Jaguars12
Determination of the performance of training algorithms and activation functions in meteorological drought index prediction with nonlinear autoregressive neural network12
Implementation of the BIRCH algorithm to construct a data-adaptive network design for regional gravity field modeling via SRBF12
Predicting the concentration of sulfate using machine learning methods12
AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing12
Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data12
Ultra-short-term wind speed hybrid forecasting model based on maximal information coefficient-optimized TVF-EMD and resTKAN12
Research on prediction method of reservoir key parameters using deep network architecture based on cross feature fusion with optimization mechanism12
Domain-informed multi-step wind speed forecasting: evaluating extreme wind conditions and seasonal variations12
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-212
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models12
Spatial-temporal Assessment of Environmental Law violation patterns in permanent preservation Areas from Southern of Minas Gerais State, Brazil12
Geostatistical and multivariate analysis of phosphate evolution and its relationship with heavy metals in shallow groundwater in a Semi-Arid Basin12
Best worst method-based mineral prospectivity modeling over the Central part of the Southern Kibi-Winneba Belt of Ghana11
Performance evaluation of dimensionality reduction techniques on hyperspectral data for mineral exploration11
Seismic-induced landslides susceptibility mapping of the NEOM area, northwestern Saudi Arabia using machine learning models11
Enhancing formation bulk density prediction while drilling using mud logging data and interpretable boosting machine learning11
APAS-TR: a MATLAB-based open-source software package for multi-GNSS precise point positioning and its performance in strong ionospheric conditions11
Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco11
MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction11
Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS11
Mapping and analysing framework for extreme precipitation-induced flooding11
Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data11
Enhanced error correction and spatial downscaling of precipitation and air temperature in the middle and low reaches of the Yangtze River using a random forest model with the Sokol method11
New approach to reduce the uncertainty level of the shear wave velocity prediction by utilizing ensemble model: A case study from Sirt Basin, Libya11
Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction11
Earthquake-induced building damage detection using the fusion of optical and radar data in intelligent systems11
Correction: Improving the modeling of bathymetry in the Persian Gulf and the Oman Sea using data assimilation of geodetic observation data11
Correction: Assessment of future groundwater level using modflow code under different managerial scenarios in the Serres river basin, Greece10
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 methodology10
Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China10
Prediction of the height of water-conducting fracture zone using the FA-ALO-SVR model10
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration10
Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis10
Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms10
The geospatial modelling of vegetation carbon storage analysis in Google earth engine using machine learning techniques10
DBA-YOLO: A Lightweight Fire DetectionAlgorithm with Structural Reparameterized Multiple Attention Mechanisms10
Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye10
A novel TCN-augmented CNN-LSTM architecture for accurate monthly runoff forecasting10
Analysis of geomorphologic features of the circular structure in the south of Lufeng Dinosaur Valley10
Prediction of petrophysical static rock type through nonlinear dimensionality reduction and mutual information10
Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM10
Assessment of ecological restoration effectiveness and quantitative analysis of multiple driving forces in high groundwater-level coal mining subsidence areas of the main Urban District10
Detection of multivariate geochemical anomalies using machine learning (ML) algorithms in Dehaq Pb-Zn mineralization, Sanandaj-Sirjan zone, Isfahan, Iran10
Global monthly sea surface temperature forecasting using the SARIMA, LSTM, and GRU models10
Enhancement of underwater images using novel Markov-patch based conditional generative adversarial network10
Performance analysis of open-source DEMs in tsunami inundation modelling10
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning10
A novel feature fusion-based stratum image recognition method for drilling rig10
Construction of a predictive model of shovel productivity applying machine learning algorithms10
AI-driven forecasting of river discharge: the case study of the Himalayan mountainous river10
Methodology of conceptual specification of models in global tectonics10
Carbonate lithofacies classification in optical microscopy: a data-centric approach using augmentation and GAN synthetic images10
Revealing hidden risks: advanced assessment of urban land subsidence10
KG-Unet: a knowledge-guided deep learning approach for seismic facies segmentation10
DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing9
An approach based on performer-attention-guided few-shot learning model for plant disease classification9
Metakaolin as a soil stabilizing admixture: A comprehensive analysis of California bearing ratio and consolidation behavior using experimental and machine learning approaches9
TL-iTransformer: Revolutionizing sea surface temperature prediction through iTransformer and transfer learning9
Knowledge map analysis of coal mine water disaster prevention and control in China from 2000 to 20239
Data-driven approaches for estimation of sediment discharge in rivers9
A novel method for predicting wind speed using data decomposition-based reformer model9
Predicting the magnitude of an impending earthquake using deep learning techniques9
Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks9
Constraint information extraction for 3D geological modelling using a span-based joint entity and relation extraction model9
Variational mode decomposition coupled LSTM with encoder-decoder framework: an efficient method for daily streamflow forecasting9
Statistical evaluation of multiple interpolation techniques for spatial mapping of highly variable geotechnical facets of soil in natural deposition9
Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition9
Explainable machine learning-based land subsidence susceptibility mapping: from feature importance to individual model contributions in ensembled system9
Iterative geostatistical seismic inversion with adaptive local variogram models9
Multi-scale spatiotemporal wind forecasting network in Southwest China9
Deep learning-based predictive models of land subsidence and collapsed pipes in Razavi Khorasan Province, Iran9
RDF-G*: An efficient RDF query answer engine based on graph model and star index9
Optimized modified single shot multibox detector with hybrid encryption algorithm for satellite image security and classification9
A novel image fusion-based post classification framework for agricultural variations detection using Sentinel-1 and Sentinel-2 data9
Application of machine learning techniques for wetland type mapping in the Numto Nature Park (Western Siberia)9
Spatiotemporal sediment yield variability in the Upper Blue Nile Basin, Ethiopia9
A novel deep learning approach based on automatic weighted average ensemble for accurate forest burn scar extraction in Indian tropical deciduous forest9
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