Standout Papers
Citation Impact
Citing Papers
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
2017 Standout
Land cover 2.0
2018
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
2021 Standout
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
2020
Google Earth Engine: A Global Analysis and Future Trends
2023 Standout
Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet
2021 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Historical background and current developments for mapping burned area from satellite Earth observation
2019 Standout
Identification and scenario prediction of degree of wetland damage in Guangxi based on the CA-Markov model
2021 Standout
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Global land cover mapping at 30 m resolution: A POK-based operational approach
2014 Standout
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
2014
Smart farming using artificial intelligence: A review
2023 Standout
Exploring pathways linking greenspace to health: Theoretical and methodological guidance
2017 Standout
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
2019
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
2017
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
2015 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
The relation between land use and subsidence in the Vietnamese Mekong delta
2018
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
2014
High-resolution mapping of global surface water and its long-term changes
2016 StandoutNature
Civil war hinders crop production and threatens food security in Syria
2022
Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India
2021
Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
2021 Standout
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species
2018
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
2012
Extraction of built-up area using multi-sensor data—A case study based on Google earth engine in Zhejiang Province, China
2020
Hyperspectral Image Classification Based on Semi-Supervised Rotation Forest
2017
A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems
2018
Mapping Vegetation and Land Use Types in Fanjingshan National Nature Reserve Using Google Earth Engine
2018
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
2015
Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine
2016
A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis
2021
Quantifying the spatiotemporal patterns of forest degradation in a fragmented, rapidly urbanizing landscape: A case study of Gazipur, Bangladesh
2019
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
2018
What makes segmentation good? A case study in boreal forest habitat mapping
2013
Temporal logic and operation relations based knowledge representation for land cover change web services
2013
An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA
2012
Realizing the potential of digital development: The case of agricultural advice
2019 StandoutScienceNobel
The use of geographical information systems in climatology and meteorology
2003
Random Forests Unsupervised Classification: The Detection and Mapping of Solanum mauritianum Infestations in Plantation Forestry Using Hyperspectral Data
2015
Soil salinity prediction and mapping by machine learning regression in C entral M esopotamia, I raq
2018
Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI
2013
Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data
2019
Using multi‐timescale methods and satellite‐derived land surface temperature for the interpolation of daily maximum air temperature in Oregon
2015
Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
2016
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
2020
High-resolution remote sensing and advanced classification techniques for the prospection of archaeological sites’ markers: The case of dung deposits in the Shashi-Limpopo Confluence area (southern Africa)
2018
Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites
2014
Remote Sensing Applications in Monitoring of Protected Areas
2020
Satellite-based assessment of yield variation and its determinants in smallholder African systems
2017
Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine
2018
Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier
2015
Developing a Random Forest Algorithm for MODIS Global Burned Area Classification
2017
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
2015
Computer vision technology in agricultural automation —A review
2019 Standout
Mapping and monitoring of land use changes in post-Soviet western Ukraine using remote sensing data
2014
A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data
2017
A survey on ensemble learning
2019 Standout
The Improvement of Land Cover Classification by Thermal Remote Sensing
2015
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
High Spatial Resolution Visual Band Imagery Outperforms Medium Resolution Spectral Imagery for Ecosystem Assessment in the Semi-Arid Brazilian Sertão
2017
Machine Learning for Cultural Heritage: A Survey
2020 Standout
Land-cover mapping in the Nujiang Grand Canyon: integrating spectral, textural, and topographic data in a random forest classifier
2013
Learning from imbalanced data: open challenges and future directions
2016 Standout
Recultivation of abandoned agricultural lands in Ukraine: Patterns and drivers
2016 Standout
The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya
2022 Standout
The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform
2018
Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
2015
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
2018
Improving Random Forest With Ensemble of Features and Semisupervised Feature Extraction
2015
Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier—A Case of Yuyao, China
2015
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
2015
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
2021 Standout
A review of remote sensing for mangrove forests: 1956–2018
2019 Standout
A Granular GA-SVM Predictor for Big Data in Agricultural Cyber-Physical Systems
2019 Standout
Random Forest Classification for Mangrove Land Cover Mapping Using Landsat 5 TM and Alos Palsar Imageries
2015
Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features
2015
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Spatial application of Random Forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data
2015
Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota
2013
The Russia-Ukraine Conflict: Its Implications for the Global Food Supply Chains
2022 Standout
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
2017 Standout
Hyperspectral Remote Sensing Image Classification Based on Rotation Forest
2013
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
The use of unmanned aerial vehicles (UAVs) for engineering geology applications
2020 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
A survey of multiple classifier systems as hybrid systems
2013
Using Randomized Controlled Trials to Estimate Long-Run Impacts in Development Economics
2019 StandoutNobel
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran
2015
Reassessing the projections of the World Water Development Report
2019 Standout
Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches
2014
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry
2020 Standout
Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms
2017 Standout
Google Earth Engine Applications
2019 Standout
Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities
2020 Standout
Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data
2014
Ensemble learning: A survey
2018 Standout
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
The utility of Random Forests for wildfire severity mapping
2018
Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region
2016
MeteoInfo: GIS software for meteorological data visualization and analysis
2012 Standout
Works of J.P. Rigol-Sánchez being referenced
Artificial neural networks as a tool for spatial interpolation
2001
Merging remote-sensing images for geological-environmental mapping: application to the Cabo de Gata-Níjar Natural Park, Spain
1998
Development of a Decision Support System based on remote sensing and GIS techniques for gold-rich area identification in SE Spain
2002
A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands
2019
An assessment of the effectiveness of a random forest classifier for land-cover classification
2011 Standout
Artificial neural networks as a tool for mineral potential mapping with GIS
2003