Earth Science Informatics

Papers
(The H4-Index of Earth Science Informatics is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network62
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain58
Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach55
Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India50
Towards the internet of underwater things: a comprehensive survey50
Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia43
Hyperspectral and multispectral image fusion techniques for high resolution applications: a review40
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey37
Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion36
Air temperature forecasting using artificial neural network for Ararat valley35
A review of models for water level forecasting based on machine learning32
A review of downscaling methods of satellite-based precipitation estimates30
A deep convolutional neural network for rock fracture image segmentation28
Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China27
FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net27
Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP26
A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping26
Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran26
Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county26
Landslide identification using machine learning techniques: Review, motivation, and future prospects25
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models25
Inter comparison of post-fire burn severity indices of Landsat-8 and Sentinel-2 imagery using Google Earth Engine24
A convolutional neural network (CNN) based ensemble model for exoplanet detection24
A stream prediction model based on attention-LSTM24
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