Geocarto International

(The H4-Index of Geocarto International is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-12-01 to 2023-12-01.)
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees75
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins62
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images61
Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers53
A new high resolution filter for source edge detection of potential field data53
Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation49
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping47
Spatial mapping of groundwater springs potentiality using grid search-based and genetic algorithm-based support vector regression42
Novel ensemble machine learning models in flood susceptibility mapping41
Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping41
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential40
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost40
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier37
Mapping of groundwater potential zones using the fuzzy analytic hierarchy process and geospatial technique35
Toward the development of deep learning analyses for snow avalanche releases in mountain regions34
Urban flood susceptibility zonation mapping using evidential belief function, frequency ratio and fuzzy gamma operator models in GIS: a case study of Greater Mumbai, Maharashtra, India32
Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach31
Application of deep learning with stratified K-fold for vegetation species discrimation in a protected mountainous region using Sentinel-2 image30
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India30
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction30
Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 201929
Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models29
Edge detection of potential field sources using the softsign function28
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India27
Crop classification in a heterogeneous agricultural environment using ensemble classifiers and single-date Sentinel-2A imagery27
ASTER and WorldView-3 satellite data for mapping lithology and alteration minerals associated with Pb-Zn mineralization27
Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs26
Semantic segmentation of land cover from high resolution multispectral satellite images by spectral-spatial convolutional neural network26