yusuke1997/dblp-id-title huggingface dataset:
Artificial neural networks for predicting soil water retention data of various Brazilian soils
Minimizing the uncertainties of RCMs climate data by using spatio-temporal geostatistical modeling
Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
Improving the modeling of bathymetry in the Persian Gulf and the Oman Sea using data assimilation of geodetic observation data
Standard precipitation-temperature index (SPTI) drought identification by fuzzy c-means methodology
Person detection in thermal images using kurtosis based histogram enhancement and YOLOv8
Spatio-temporal response characteristics of flood embankment deformation during shield tunnel excavation
Global landslide mapping using tibetan plateau landslide dataset and improved YOLOX
Calibration and spatial modelling of daily ET0 in semiarid areas using Hargreaves equation
Framework and modeling structure of Exploration and Mining Cadastre system in Iran
Feasibility of a hybrid AHA-GPR model for predicting blasting fragmention in surface mines
Scalable big earth observation data mining algorithms: a review
Enhancing regional-scale Pb-Zn prospectivity mapping through data augmentation: Joint application of unsupervised random forests and convolutional neural network
Object-based crop classification in Hetao plain using random forest
A novel large-scale land degradation remote sensing index and its application in Three River Source Region
Enhancing night light data accuracy: an analytical review of DMSP-OLS inter-calibration methods
Correction to: What are the dominant influencing factors on the soil erosion evolution process in the Yellow River Basin?
Enhanced selective hyper chaotic encryption using deep neural network for hyperspectral images
Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations
Thermal database for the Indian region
Spatio-temporal aware graph convolution network for urban traffic speed prediction
ET2GIS & ET2QGIS tools: integrating ET2Spatial outputs into GIS for eye movement analysis of web maps
A method for mineral prospectivity mapping integrating C4.5 decision tree, weights-of-evidence and m-branch smoothing techniques: a case study in the eastern Kunlun Mountains, China
Morphological classification of galaxies using Conv-nets
Towards intelligent GIServices
A probabilistic framework for weighted combination of multiple-feature classifications of hyperspectral images
Uncertainty assessment of a 3D geological model by integrating data errors, spatial variations and cognition bias
Dual-color space color correction and histogram segmentation optimized strategy for underwater image enhancement
Talkoot: software tool to create collaboratories for earth science
A point and interval forecasting of solar irradiance using different decomposition based hybrid models
Development of a computational deep learning model for detecting people in aerial images and videos degraded by compression artifacts
BDS precise point positioning ambiguity resolution with high rate data and its application to seismic displacement and marine surveying
Spatial resolution matters: unveiling the role of environmental predictors in English yew (Taxus bacata L.) distribution using MaxEnt modeling
Statistical evaluation of multiple interpolation techniques for spatial mapping of highly variable geotechnical facets of soil in natural deposition
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
Transfer learning-based deep learning models for flood and erosion detection in coastal area of Algeria
Innovative drought monitoring: development and application of the multi-regional aggregated standardized drought index (MRASDI)
Ten rules to increase the societal value of earth observations
An ontology-based framework for heterogeneous data management and its application for urban flood disasters
Evaluation of Topographic Correction Effects for Landsat-5 Thematic Mapper Images with Complex Lighting Conditions
A new benchmark for spatiotemporal fusion of Sentinel-2 and Sentinel-3 OLCI images
Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran
Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows
Characterizing acid mine drainage in coal mine sumps using reflectance spectroscopy and PlanetScope SuperDove imagery
Towards an information centric flood ontology for information management and communication
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review
A lightweight enhanced branching attention model for remote sensing scene image classification
Prediction of production rate of surface miner in coal mine: an application of single and ensemble machine learning methods
Integrating an interpolation technique and AI models using Bayesian model averaging to enhance groundwater level monitoring
RadonPotential: An interactive web application for radon potential prediction under different climates and soil textures
Interoperable processing of digital elevation models in grid infrastructures
Hybrid model for air quality prediction based on LSTM with random search and Bayesian optimization techniques
Subsurface structural mapping a tool in understanding the Geodynamics of Mineralization within the North-Central Precambrian Basement of Nigeria, using aeromagnetic dataset
Assessment of rainfall and climate change patterns via machine learning tools and impact on forecasting in the City of Kigali
Modeling background events across Southern California using the Markov-modulated Poisson process
A comparative and coupled study of the application of Dempster-Shafer, fuzzy overlay and FAHP methods for groundwater potential mapping in a fractured medium of a mine site
Delivery of agricultural drought information via web services
Web-oriented GIS system for monitoring, conservation and law enforcement of the Brazilian Amazon
Recent trends in spatial modeling studies of air quality (2010-2023)
Denoising of multidimensional seismic data in the physical domain by a new non-local self similarity method
Research advances in remote sensing monitoring of sea ice in the Bohai sea
Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition
The study of mineral mapping in black soil using TASI thermal infrared data, taking the Baiquan area of China as an example
IoT tank level measurement device for improving water distribution system operation
From land to ocean: bathymetric terrain reconstruction via conditional generative adversarial network
Applicability evaluation and improvement of different snow evaporation calculation methods in the Great Xing'an mountains
Soil respiration estimation in desertified mining areas based on UAV remote sensing and machine learning
Geostatistical and multivariate analysis of phosphate evolution and its relationship with heavy metals in shallow groundwater in a Semi-Arid Basin
Prediction of urban water accumulation points and water accumulation process based on machine learning
Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management
Runoff responses at different watershed scales in semi arid region: exploration of a developed rainfall runoff model (Merguellil and Skhira watershed, Central Tunisia)
Optimized water depth retrieval using satellite imageries based on novel algorithms
Predicting flood risks using advanced machine learning algorithms with a focus on Bangladesh: influencing factors, gaps and future challenges
Poisson hidden markov model on earthquake occurrences in Metro Manila, Philippines
Application of improved support vector machine in geochemical lithology identification
Predicting water quality index using machine learning techniques: a case study of river Ganga in Haridwar, India
AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing
Mobile and web-based application as a tool for flood data collection based on citizen science
Convergence and final performances of optimization algorithms for rainfall- runoff model calibration based on the number of function calls
Spatial data infrastructures for the Amazon: a first step towards a global forest information system
Measuring the similarity of building patterns using Graph Fourier transform
Explainable machine learning-based land subsidence susceptibility mapping: from feature importance to individual model contributions in ensembled system
A wavelet-outlier robust extreme learning machine for rainfall forecasting in Ardabil City, Iran
Toward semantics-aware annotation and retrieval of spatial data
Evaluating different machine learning algorithms for snow water equivalent prediction
Cloud enabled SDI architecture: a review
Mine inflow prediction model based on unbiased Grey-Markov theory and its application
A combination of probabilistic neural network (PNN) and particle swarm optimization (PSO) algorithms to map hydrothermal alteration zones using ASTER data
Enhanced snow cover mapping using object-based classification and normalized difference snow index (NDSI)
Detection of multivariate geochemical anomalies using machine learning (ML) algorithms in Dehaq Pb-Zn mineralization, Sanandaj-Sirjan zone, Isfahan, Iran
Prediction of the petroliferous area in WZ6-1 structure of Beibu Gulf Basin in the South China Sea based on PCA-SOM model
Point estimation and joint confidence interval estimation of three parameters in the generalized Pareto, generalized extreme value, and generalized logistic distributions: a method based on pivotal quantities
A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction
Deep learning in the advanced core sample porosity determination with XCT image
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest
Computation unit architecture for satellite image processing systems
GNSS-A observation model with attached oceanic slowness gradient
Experimental analysis of different software packages for orientation and digital surface modelling from UAV images
A window-based multi-scale attention model for slope collapse detection
Hybrid discrete wavelet transform approach with explainable artificial intelligence for accurate prediction of non-stationary longwall roof pressure data
A method for estimating the probability of glacial lake outburst floods based on logistic regression and geodetector: a case study of the Himalayan region
Development of a fuzzy logic based online visualization application for 2D geotechnical cross-section modeling
An ArcGIS add-in for spatiotemporal data mining in climate data
Study and application of deeply optimized neural network in roof stability evaluation
Dual-encoder model for typhoon path prediction with multiscale spatiotemporal data fusion
Knowledge graphs analysis for research on minerals in coal
SCECNet: self-correction feature enhancement fusion network for remote sensing scene classification
Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China
Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags
ET2Spatial - software for georeferencing of eye movement data
Local-scale monitoring of evapotranspiration based on downscaled GRACE observations and remotely sensed data: An application of terrestrial water balance approach
Gridification of regional Fault Plain Solution (FPS)
Spatial autocorrelation of Neogene-Quaternary lava along the Snake River Plain, Idaho, USA
A SMOTified extreme learning machine for identifying mineralization anomalies from geochemical exploration data: a case study from the Yeniugou area, Xinjiang, China
First-Pass prospectivity mapping for Au-Ag mineralization in Sikhote-Alin Superterrane, Southeast Russia through field sampling, image enhancement on ASTER data, and MaxEnt modeling
Online image classification and analysis using OGC web processing service
A semi-supervised coarse-to-fine approach with bayesian optimization for lithology identification
Data-driven approaches for estimation of sediment discharge in rivers
Wetland shift monitoring using remote sensing and GIS techniques: landscape dynamics and its implications on Isimangaliso Wetland Park, South Africa
A novel technology for unraveling the spatial risk of Natech disasters based on machine learning and GIS: a case study from the city of Changzhou, China
Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa
The comprehensive evaluation of coordinated coal-water development based on analytic hierarchy process fuzzy
Superposed epoch analysis of GPS ionospheric TEC and scintillations over low latitude Indian region during multiple geomagnetic storm events
Robust watermarking algorithm based on mahalanobis distance and ISS feature point for 3D point cloud data
PyGeoRS: a QGIS plugin for automating landsat data processing in environmental mapping
Machine learning methods for wildfire risk assessment
Grid in earth sciences
An improved edge detector for interpreting potential field data
A convolutional neural network (CNN) based ensemble model for exoplanet detection
AI-driven environmental monitoring for hydroponic agriculture: ExCNN-LFCP approach
G-ABORE: regularizing complex geometry building boundaries from pre-processed building LiDAR points using Bézier curve
Predicting groundwater levels in coastal aquifers using deep learning models: a comparative study of sedimentary and metamorphic aquifers in nova scotia
Prediction of groundwater level using the hybrid model combining wavelet transform and machine learning algorithms
Total organic carbon (TOC) estimation using ensemble and artificial neural network methods; a case study from Kazhdumi Formation, NW Persian Gulf
DBA-YOLO: A Lightweight Fire DetectionAlgorithm with Structural Reparameterized Multiple Attention Mechanisms
Geochemical modeling of the mantle partial melting using heuristic exploration: an optimization model applied to earth sciences
Correction to: An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan
Identification of specific wavelength regions for separating optically similar signals of coral reef benthic compositions
Object-based image analysis for extracting regional slope units and its application
Predicting galaxy morphology using attention-enhanced ResNets
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 Iran
Rate of penetration modeling using hybridization extreme learning machine and whale optimization algorithm
Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms
Assessing the effect of emotional unit of emotional ANN (EANN) in estimation of the prediction intervals of suspended sediment load modeling
A two-level storage strategy for map-reduce enabled computation of local map algebra
An intelligent optimized cyclone intensity prediction framework using satellite images
Novel residual hybrid machine learning for solar activity prediction in smart cities
A software tool to plot frequency and cumulative frequency curves automatically for grain size analysis of sediments
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models
CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observations
CNN-based transfer learning for self-potential inversion
Modelling of snow and glacier melt dynamics in a mountainous river basin using integrated SWAT and machine learning approaches
Bibliometric insights into kriging research from 1980 to 2020: global trends and earth science connections
Modelling of the environmental sustainability assessment index for inhabited islands
Navigating through SPASE to heliospheric and magnetospheric data
A systematic evaluation methodology of deep learning on seismic facies classification
Enhanced streamflow prediction using SWAT's influential parameters: a comparative analysis of PCA-MLR and XGBoost models
DeepHFMap: a deep neural network for mapping the heat flow distribution
Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study
Spectra method for revealing relations between slope and possible sunshine duration in China
UAV-based investigation of earthquake-induced deformation and landscape changes: a case study of the February 6, 2023 Earthquakes in Hatay, Türkiye
Analysis on application of swarm-based techniques in processing remote sensed data
Character embedding-based Bi-LSTM for Zircon similarity calculation with clustering
Sustainable water quality prediction using adaptive spider monkey optimization with Bi-LSTM
SAR image analysis techniques for flood area mapping - literature survey
Correction to: Using hybrid artificial intelligence approach based on a neuro‑fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran
"Runway and airfield associated feature detection from optical and SAR data using machine learning Algorithms"
The influence of track configuration and multibeam echosounder parameters on the accuracy of seabed DTMs obtained in shallow water
Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP)
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas
Hyperspectral remote sensing image watermarking using discrete wavelet transform and forensic based investigation archimedes optimization
Multifractal Scaling characteristics of lineament networks of a fractured sandstone aquifer system
Ocean knowledge representation through integration of big data employing semantic web technologies
Efficient execution of the WRF model and other HPC applications in the cloud
Deformation patterns and failure mechanism of rock slopes with fault fracture zone induced by over-excavation
Recurrent-spectral convolutional neural networks (RecSpecCNN) architecture for hyperspectral lithological classification optimization
Rapid automatic detection of collapsed buildings with single period LiDAR data after an earthquake
PYTAF: A Python Tool for Spatially Resampling Earth Observation Data
Correction: Comparative analysis of SPI, SPEI, and RDI ındices for assessing spatio-temporal variation of drought in Türkiye
Global earth isostatic model using smoothed Airy-Heiskanen and Vening Meinesz hypotheses
Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model
Method for managing and querying geo-spatial data using a grid-code-array spatial index
Agroecological-based modeling of meteorological drought at 12-month time scale in the Western Cape Province of South Africa
Multi-scale feature pyramid-based crater detection on lunar surface
Spatio-temporal changes in rate of soil loss and erosion vulnerability of selected region in the tropical forests of Borneo during last three decades
A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence
Sub pixel mapping of alteration minerals using SOM neural network model and hyperion data
Context aware benchmarking and tuning of a TByte-scale air quality database and web service
Modified MobileNet with leaky ReLU and LSTM with balancing technique to classify the soil types
Impacts of DEM type and resolution on deep learning-based flood inundation mapping
Integration of convolutional neural networks with parcel-based image analysis for crop type mapping from time-series images
Flood hazard mapping using M5 tree algorithms and logistic regression: a case study in East Black Sea Region
A software package for computing a regional gravimetric geoid model by the KTH method
Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers
Application of remote sensing indicators and deep learning algorithms to model the spatial distribution of soil moisture
Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data
Seismic response analysis of the Yellow River terrace based on the spectral ratio method
Research on object detection in remote sensing images based on improved horizontal target detection algorithm
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 networks
Evaluating the impact of different point cloud sampling techniques on digital elevation model accuracy - a case study of Kituro, Kenya
Estimating leaf chlorophyll contents by combining multiple spectral indices with an artificial neural network
GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning
A multiscale 3D convolution with context attention network for hyperspectral image classification
Spatio-temporal assessment of natural lakes in Turkey
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
A registry framework and Rosetta attributes for distributed science
Geospatial mapping of potential aggregate resources using integrated GIS-AHP, geotechnical, petrographic and machine learning approaches
Assessment of frost heave in coarse-grained soil: a novel application of multi-strategy enhanced dung beetle-optimized KELM model
Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP
Predicting river sediment deposition using machine learning and InVEST-SDR modeling- A hydro electric perspective
An approach based on performer-attention-guided few-shot learning model for plant disease classification
Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India
A temporal perspective on the reliability of wildfire hazard assessment based on machine learning and remote sensing data
Performance evaluation of textural features in improving land use/land cover classification accuracy of heterogeneous landscape using multi-sensor remote sensing data
Progress in geothermal gas research in the last 50 years: a bibliometric review
A new method using convolutional neural networks to distinguish basalt tectonic settings: breaking through theErnst constraints of incomplete geochemical datasets
MRISNet:Deep-learning-based Martian instance segmentation against blur
Application of new RKAHeM(4, 4) technique to analyze the structure of initial extrasolar giant protoplanets
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran
TSPF-GAN: A lightweight temporal-spatial-pixel feature fusion GAN for radar-based precipitation nowcasting
PKNNet: a novel feature learning architecture for vegetation mapping using remote sensing hyperspectral image classification
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory
The variogram of a spectral band ratio with a considerable correlation between the bands
An effective underwater image enhancement based on the fusion of CLAHE and image constancy sharpening technique
3D geological modeling and visualization of above-ground and underground integration - - taking the Unicorn Island in Tianfu new area as an example
A novel global average temperature prediction model - - based on GM-ARIMA combination model