Earth Science Informatics

Papers
(The median citation count of Earth Science Informatics is 2. 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 2021-07-01 to 2025-07-01.)
ArticleCitations
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques89
Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things68
Active learning based on SVM and representativity in a coal mining environment67
Extraction of terrain ridge lines and valley lines based on agglomeration analysis of terrain points: a cluster analysis method54
Correction: Extraction of maize canopy temperature and variation factor analysis based on multi-source unmanned aerial vehicle remote sensing data48
Concatenating data-driven and reduced-physics models for smart production forecasting48
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world’s major urban cities45
Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran44
Hyperspectral image classification based on channel perception mechanism and hybrid deformable convolution network41
Roughness Estimation of Multi-Scale Rock Joints based on SfM & MVS Photogrammetry with A DSLR Camera in Animation Mode40
Inversion model for snow geophysical parameters estimation using sentinel–1 stokes parameter39
Efficient weighted naive bayes classifiers to predict air quality index38
Towards the internet of underwater things: a comprehensive survey36
A hybrid of RainNet and genetic algorithm in nowcasting prediction36
Evaluating the efficiency and accuracy of the copula-based rainfall-runoff model36
Machine learning and hyperspectral imaging to predict soil water content: methodology and field validation36
Spatial analysis of potential natural vegetation and habitat suitability changes on the Loess Plateau using high-resolution climate data and LPJ-GUESS model33
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, China29
Machine learning based mapping of physicochemical attributes in the Colombian Pacific seafloor28
A Conditional Generative Adversarial Network for urban area classification using multi-source data28
Determination of the stress concentration factor adjacent an extracted underground coal panel using the CART and MARS algorithms27
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains27
Modeling soil water retention curves by pore fractal dimension based on microstructure image26
Lithology identification of logging data based on improved neighborhood rough set and AdaBoost26
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review26
Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province26
Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP26
Methods for landslide detection based on lightweight YOLOv4 convolutional neural network25
Artificial neural network methodology: application to predict plasticity of clay soil treated with sand25
Assessing the forecasting accuracy of intense precipitation events in Iran using the WRF model25
Short-term wind speed prediction model based on long short-term memory network with feature extraction25
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
Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa24
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images24
Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence23
Precise quantitative evaluation of the risk level of coal mine water inrush accidents based on the CW-BN model23
Application of fuzzy logic and neural networks for porosity analysis using well log data: an example from the Chanda Oil Field, Northwest Pakistan23
Fractal characteristics of lineaments extracted from OLI images at different time phases22
FKgrain: A topography-based software tool for grain segmentation and sizing using factorial kriging22
GNSS-A observation model with attached oceanic slowness gradient21
ET2Spatial – software for georeferencing of eye movement data21
Daily Wildfire Risk Prediction by Mining Global and local spatio-temporal dependency21
Optimizing support vector machines for enhanced permeability prediction in sandstone reservoirs using systematic and heuristic hyperparameter tuning21
Construction and application of integrated entropy model for measuring precipitation complexity21
Segmentation of crack disaster images based on feature extraction enhancement and multi-scale fusion20
Transitional shale reservoir quality evaluation based on Random Forest algorithm—a case study of the Shanxi Formation, eastern Ordos Basin, China20
Enhancing landslide susceptibility mapping through advanced hybridization of bootstrap aggregating based decision tree algorithms20
Assessing the feasibility of copula functions for estimating soil properties: a case study in Hunan Province20
DPMFformer: an underwater image enhancement network based on deep pooling and multi-scale fusion transformer20
Assessment of groundwater level using satellite-based hydrological parameters in North-West India: A deep learning approach19
Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation19
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques18
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks18
CNN-based transfer learning for self-potential inversion18
Classification and detection of natural disasters using machine learning and deep learning techniques: A review18
Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models18
Assessing land degradation neutrality in semi-arid dryland agroecosystems of the matabeleland North province of Zimbabwe18
Mapping flood inundation in Baro Akobo Basin, Itang area, Ethiopia: integrating machine learning and process-based models18
Modelling of GNSS station position time series using deep learning approaches17
A comparative study of LULC classifiers for analysing the cover management factor and support practice factor in RUSLE model17
Accuracy enhancement in land subsidence prediction using lightgbm and metaheuristic optimization17
Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine17
Predicting urban tomorrow: CA-Markov modeling and district evolution17
Log-based estimation of magnitude, azimuth and causes of anisotropy using a committee machine-based model17
RUSLE/SDR for assessment of soil erosion by a new non-convex regression16
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning16
Assessment of frost heave in coarse-grained soil: a novel application of multi-strategy enhanced dung beetle-optimized KELM model16
Spatiotemporal investigation of scaling properties of precipitation using high resolution data16
Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment16
MRISNet:Deep-learning-based Martian instance segmentation against blur16
A change type determination method based on knowledge of spectral changes in land cover types16
Integrated image defogging network based on improved atmospheric scattering model and attention feature fusion16
Real-time flash flood detection employing the YOLOv8 model16
Improving permeability modeling using artificial neural networks in Lower Safa sand reservoir, JG field, Abu El-Gharadig basin, Western Desert, Egypt16
EADCN-BCSR: A novel framework for accurate and real-time waste detection and classification16
Assessment of forest cover dynamics for the detection of deforestation in the Hindu Kush Himalayan region using geospatial and machine learning approaches16
Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm16
A multi-scale attention encoding and dynamic decoding network designed for short-term precipitation forecasting16
Satellite image classification using deep learning approach15
Advancing multi-pollutant air quality forecasting using Transformer-based Informer architecture15
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area15
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach15
Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization15
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
Metsat: a MATLAB code to calculate, and visualize METOP B satellite data for global climatic monitoring15
Impervious surface Mapping and its spatial–temporal evolution analysis in the Yellow River Delta over the last three decades using Google Earth Engine15
Few-shot learning for name entity recognition in geological text based on GeoBERT15
Combining social media data and meteorological sensors for urban flood detection: a statistical analysis in São Paulo City15
Numerical simulation to estimate the conductive thermal state model – Mexican EGS zones as study cases15
Estimation of regional-scale near real time reference evapotranspiration using remote sensing and weather data to improve agriculture advisory15
Research on lithology identification based on multi-sensor hybrid domain information fusion and support vector machine15
Multiple data-driven approaches for estimating daily streamflow in the Kone River basin, Vietnam15
Correction to: Land use and land cover classification using machine learning algorithms in google earth engine14
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting14
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms14
PCA-VGG16 model for classification of rock types14
Seismic facies analysis using machine learning techniques: a review and case study14
Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China14
Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms14
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques14
Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms14
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas14
Modelling of the environmental sustainability assessment index for inhabited islands13
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
Short-term prediction of wave height based on a deep learning autoregressive integrated moving average model13
Selecting the best backbone model: A comprehensive evaluation of deep learning models for satellite image-based land cover classification13
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
A Tri-Training method for lithofacies identification under scarce labeled logging data13
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
Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms13
Geoid modeling with least squares modification of Hotine’s integral using gravity disturbances in Turkey13
Evaluation of TerraClimate gridded data across diverse climates in Iran13
Ultra-short-term photovoltaic power prediction based on modal reconstruction and BiLSTM-CNN-Attention model13
Assessment of rainfall and climate change patterns via machine learning tools and impact on forecasting in the City of Kigali13
Ensemble machine learning model for exploration and targeting of Pb-Zn deposits in Algeria13
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
High-efficiency method for 3D visualization of marine environmental information13
Correction to: Seasonal assessment of cross-shore morphodynamic behaviour of wave-dominated beaches using data-driven analysis13
Soft computing approaches for predicting boron contamination in arid sandstone groundwater13
Digital mapping of coastal landscapes integrating ocean-environment relationships and machine learning13
A hybrid key agreement scheme utilized elliptic curve Diffie-Hellman for IoT based advanced metering environment13
MSTC: a unified encoding method for geophysical big data retrieval12
A fidelity evaluation model for watermarked vector maps based on improved fuzzy comprehensive evaluation and random forest12
Geomorphological evolution of small watershed on the Chinese Loess Plateau based on slope shape spectra12
Adaptive water delineation algorithms for L- and C-band SAR imagery: a comparative analysis12
Long-term shoreline dynamics of South Kerala Coast using satellite images12
Performance of various gridded precipitation and temperature products against gauged observations over Turkey12
Modelling radium equivalent activity from 226Ra, 232Th, and 40K series of recycled waste materials: Analytical and artificial intelligence approaches12
Prediction of the petroliferous area in WZ6-1 structure of Beibu Gulf Basin in the South China Sea based on PCA-SOM model12
Robust geometric estimation of the plate-fixed velocities from PPP solutions12
Improvement of deep learning Method for water body segmentation of remote sensing images based on attention modules11
Routing land use changes using the landscape ecology approach in Isfahan city, central Iran11
Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data11
Exploring hybrid models for forecasting $$CO_2$$ emissions in drought-prone Somalia: a comparative analysis11
A review of downscaling methods of satellite-based precipitation estimates11
Influence of different tectonic settings on fracture formation and fluid flow around upper-crustal magmatic intrusion: insights from numerical modelling11
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods11
K-Means Featurizer: A booster for intricate datasets11
Framework for developing IDF curves using satellite precipitation: a case study using GPM-IMERG V6 data11
Empirical correlations between uniaxial compressive strength and density on the basis of lithology: implications from statistical and machine learning assessments11
Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis11
DNA dynamic coding-based encryption algorithm for vector map considering global objects11
Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia11
Determination of the performance of training algorithms and activation functions in meteorological drought index prediction with nonlinear autoregressive neural network11
Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco11
Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection11
Estimation of the elastic modulus of basaltic rocks using machine learning methods11
Integration Sentinel-1 SAR data and machine learning for land subsidence in-depth analysis in the North Coast of Central Java, Indonesia11
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest11
U-TWGAN: Underwater image enhancement via wavelet-transformer and sparse multilayer perceptrons generative adversarial network11
A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement11
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China11
Object-based image analysis for extracting regional slope units and its application11
Reverting rupture processes based on fast synthesized 3D Green’s functions: application to the 2010 EI mayor-Cucapah earthquake and the 2017 Jiuzhaigou earthquake11
A point and interval forecasting of solar irradiance using different decomposition based hybrid models11
Predicting seawater intrusion wedge length in coastal aquifers using hybrid gradient boosting techniques11
Implementation of the BIRCH algorithm to construct a data-adaptive network design for regional gravity field modeling via SRBF10
Geolocation bias correction for CARTOSAT-1 stereo images through virtual ground control points generation over mountainous areas10
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-210
Predicting the concentration of sulfate using machine learning methods10
Geospatial modelling of rainfall erosivity in the humid tropics using remotely sensed data10
Research on prediction method of reservoir key parameters using deep network architecture based on cross feature fusion with optimization mechanism10
Domain-informed multi-step wind speed forecasting: evaluating extreme wind conditions and seasonal variations10
Dual-color space color correction and histogram segmentation optimized strategy for underwater image enhancement10
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 Jaguars10
Performance evaluation of dimensionality reduction techniques on hyperspectral data for mineral exploration10
A new benchmark for spatiotemporal fusion of Sentinel-2 and Sentinel-3 OLCI images10
Spatial-temporal Assessment of Environmental Law violation patterns in permanent preservation Areas from Southern of Minas Gerais State, Brazil10
Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method10
An enhanced discovery of multiple natural disasters using machine learning model10
A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran10
Geostatistical and multivariate analysis of phosphate evolution and its relationship with heavy metals in shallow groundwater in a Semi-Arid Basin10
MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction9
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
A novel feature fusion-based stratum image recognition method for drilling rig9
Revealing hidden risks: advanced assessment of urban land subsidence9
Landsat 8 and ASTER remote sensing data for ore prospecting in the postmasburg manganese ore field, South Africa9
AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing9
KG-Unet: a knowledge-guided deep learning approach for seismic facies segmentation9
Mapping and analysing framework for extreme precipitation-induced flooding9
Global monthly sea surface temperature forecasting using the SARIMA, LSTM, and GRU models9
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 method9
Susceptibility assessment of small, shallow and clustered landslide9
Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data9
Correction: Improving the modeling of bathymetry in the Persian Gulf and the Oman Sea using data assimilation of geodetic observation data9
Forecasting future scenarios of coastline changes in Türkiye's Seyhan Basin: a comparative analysis of statistical methods and Kalman Filtering (2033–2043)9
Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data9
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models9
Enhancing formation bulk density prediction while drilling using mud logging data and interpretable boosting machine learning9
Seismic-induced landslides susceptibility mapping of the NEOM area, northwestern Saudi Arabia using machine learning models9
DBA-YOLO: A Lightweight Fire DetectionAlgorithm with Structural Reparameterized Multiple Attention Mechanisms9
Carbonate lithofacies classification in optical microscopy: a data-centric approach using augmentation and GAN synthetic images9
Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction9
Correction to: Characterization of hydrothermal alteration along geothermal wells using unsupervised machine-learning analysis of X-ray powder diffraction data9
Best worst method-based mineral prospectivity modeling over the Central part of the Southern Kibi-Winneba Belt of Ghana9
The geospatial modelling of vegetation carbon storage analysis in Google earth engine using machine learning techniques9
Ultra-short-term wind speed hybrid forecasting model based on maximal information coefficient-optimized TVF-EMD and resTKAN9
Optimized water depth retrieval using satellite imageries based on novel algorithms9
Earthquake-induced building damage detection using the fusion of optical and radar data in intelligent systems9
Detection of multivariate geochemical anomalies using machine learning (ML) algorithms in Dehaq Pb-Zn mineralization, Sanandaj-Sirjan zone, Isfahan, Iran9
TL-iTransformer: Revolutionizing sea surface temperature prediction through iTransformer and transfer learning8
Designing a deep learning-based framework for the prediction of lake surface closed curves8
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization8
Data-driven approaches for estimation of sediment discharge in rivers8
Methodology of conceptual specification of models in global tectonics8
Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms8
Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye8
Spatiotemporal sediment yield variability in the Upper Blue Nile Basin, Ethiopia8
Multi-scale spatiotemporal wind forecasting network in Southwest China8
DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing8
Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM8
Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS8
Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis8
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning8
A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India8
Optimized modified single shot multibox detector with hybrid encryption algorithm for satellite image security and classification8
A novel deep learning approach based on automatic weighted average ensemble for accurate forest burn scar extraction in Indian tropical deciduous forest8
Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China8
Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks8
Performance analysis of open-source DEMs in tsunami inundation modelling8
CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph8
Monitoring vegetation dynamics across land use types in Iran: spatiotemporal relationships with soil temperature and water volume8
Metakaolin as a soil stabilizing admixture: A comprehensive analysis of California bearing ratio and consolidation behavior using experimental and machine learning approaches7
Applications of mathematical morphology operators in civil infrastructures7
Multidimensional displacement analysis of Semeru Volcano, Indonesia following December 2021 eruption from multitrack InSAR observation7
Poisson hidden markov model on earthquake occurrences in Metro Manila, Philippines7
Stabilized Long Short Term Memory (SLSTM) model: a new variant of the LSTM model for predicting ozone concentration data7
A novel image fusion-based post classification framework for agricultural variations detection using Sentinel-1 and Sentinel-2 data7
Prediction of petrophysical static rock type through nonlinear dimensionality reduction and mutual information7
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration7
Variational mode decomposition coupled LSTM with encoder-decoder framework: an efficient method for daily streamflow forecasting7
Fast multidimensional scaling on big geospatial data using neural networks7
An approach based on performer-attention-guided few-shot learning model for plant disease classification7
CleverRiver: an open source and free Google Colab toolkit for deep-learning river-flow models7
Developing a dynamic/adaptive geofencing algorithm for HVTT cargo security in road transport7
Analysis of geomorphologic features of the circular structure in the south of Lufeng Dinosaur Valley7
Explainable machine learning-based land subsidence susceptibility mapping: from feature importance to individual model contributions in ensembled system7
Depth estimation from multispectral satellite imagery: a comparison of conventional and machine learning-based approaches- case study: Kish Island, Persian Gulf7
Predicting the magnitude of an impending earthquake using deep learning techniques7
Estimating relative uncertainty of geological 3D models with low density of input data in geologically complex regions7
Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city7
RadonPotential: An interactive web application for radon potential prediction under different climates and soil textures7
Non-normal distribution of radon and residual radon and short-term abnormal precursors of residual radon before major earthquakes7
Regional climate fluctuation analysis using convolutional neural networks7
A novel method for predicting wind speed using data decomposition-based reformer model7
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory7
Construction of a predictive model of shovel productivity applying machine learning algorithms7
Application of machine learning techniques for wetland type mapping in the Numto Nature Park (Western Siberia)7
Iterative geostatistical seismic inversion with adaptive local variogram models7
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