A review of Earth Artificial Intelligence

Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

(2021) Eyke Hüllermeier et al.   MACHINE LEARNING

Physics-informed machine learning: case studies for weather and climate modelling

(2021) K. Kashinath et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence

(2021) Tom M. George et al.   Nature Communications

Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation

(2021) Jangho Lee et al.   Remote Sensing

Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites

(2021) Hao Cheng et al.   Water

Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean

(2021) Haoyu Wang et al.   Mathematics

Deep Learning for Imaging and Detection of Microorganisms

(2021) Yang Zhang et al.   TRENDS IN MICROBIOLOGY

Dust source susceptibility mapping in Tigris and Euphrates basin using remotely sensed imagery

(2021) Ali Darvishi Boloorani et al.   CATENA

Coupling OGC WPS and W3C PROV for provenance aware geoprocessing workflows

(2020) Mingda Zhang et al.   COMPUTERS & GEOSCIENCES

Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping

(2020) Mahdi Boroughani et al.   Ecological Informatics

Invest 5% of research funds in ensuring data are reusable

(2020) Barend Mons   NATURE

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows

(2020) Ziheng Sun et al.   ISPRS International Journal of Geo-Information

A Survey on Distributed Machine Learning

(2020) Joost Verbraeken et al.   ACM COMPUTING SURVEYS

Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide

(2020) Carol Tenopir et al.   PLoS One

Neural Network Applications in Earthquake Prediction (1994–2019): Meta-Analytic and Statistical Insights on Their Limitations

(2020) Arnaud Mignan et al.   SEISMOLOGICAL RESEARCH LETTERS

A review of machine learning applications in wildfire science and management

(2020) Piyush Jain et al.   ENVIRONMENTAL REVIEWS

Machine learning for source identification of dust on the Chinese Loess Plateau

(2020) Xin Lin et al.   GEOPHYSICAL RESEARCH LETTERS

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

(2020) Haifa Tamiminia et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks

(2020) Quoc Dung Cao et al.   NATURAL HAZARDS

Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand

(2020) D. E. Dempsey et al.   Nature Communications

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

(2020) S. Mostafa Mousavi et al.   Nature Communications

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

(2020) Hongda Wang et al.   Light-Science & Applications

Deep learning-assisted comparative analysis of animal trajectories with DeepHL

(2020) Takuya Maekawa et al.   Nature Communications

Deep learning-based diatom taxonomy on virtual slides

(2020) Michael Kloster et al.   Scientific Reports

Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies

(2020) Oliverio J. Santana et al.   Remote Sensing

Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

(2020) Sid-Ahmed Boukabara et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Soil erosion modeling using erosion pins and artificial neural networks

(2020) Vahid Gholami et al.   CATENA

DEDNet: Offshore Eddy Detection and Location with HF Radar by Deep Learning

(2020) Fangyuan Liu et al.   SENSORS

Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation

(2019) Thomas Bolton et al.   Journal of Advances in Modeling Earth Systems

Detection of Glacier Calving Margins with Convolutional Neural Networks: A Case Study

(2019) Yara Mohajerani et al.   Remote Sensing

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification

(2019) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies

(2019) Manzhu Yu et al.   International Journal of Digital Earth

Predictive modeling of wildfires: A new dataset and machine learning approach

(2019) Younes Oulad Sayad et al.   FIRE SAFETY JOURNAL

Using deep learning to estimate tropical cyclone intensity from satellite passive microwave imagery

(2019) Anthony Wimmers et al.   MONTHLY WEATHER REVIEW

FAIRsharing as a community approach to standards, repositories and policies

(2019) Susanna-Assunta Sansone et al.   NATURE BIOTECHNOLOGY

Machine learning applied to predicting microorganism growth temperatures and enzyme catalytic optima

(2019) Gang Li et al.   ACS Synthetic Biology

Machine learning models accurately model ozone exposure during wildfire events

(2019) Gregory L. Watson et al.   ENVIRONMENTAL POLLUTION

Large scale prediction of groundwater nitrate concentrations from spatial data using machine learning

(2019) Lukas Knoll et al.   SCIENCE OF THE TOTAL ENVIRONMENT

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

(2019) S. Mostafa Mousavi et al.   Scientific Reports

An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery

(2019) Johannes Lohse et al.   Remote Sensing

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

(2019) Sujay Naganna et al.   Water

Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

(2019) Farshad Fathian et al.   JOURNAL OF HYDROLOGY

Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data

(2019) Mohsen Ghanbari et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants

(2019) Puze Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

(2019) Chi-Sing Ho et al.   Nature Communications

Moving from drought hazard to impact forecasts

(2019) Samuel J. Sutanto et al.   Nature Communications

Exploring the link between microseism and sea ice in Antarctica by using machine learning

(2019) Andrea Cannata et al.   Scientific Reports

Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning

(2019) Celia A. Baumhoer et al.   Remote Sensing

Advanced cyberinfrastructure for intercomparison and validation of climate models

(2019) Ziheng Sun et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies

(2019) Chen Wang et al.   REMOTE SENSING OF ENVIRONMENT

Statistical downscaling of precipitation using machine learning techniques

(2018) D.A. Sachindra et al.   ATMOSPHERIC RESEARCH

Optimisation of water demand forecasting by artificial intelligence with short data sets

(2018) Rafael González Perea et al.   BIOSYSTEMS ENGINEERING

Continental United States Hurricane Landfall Frequency and Associated Damage: Observations and Future Risks

(2018) Philip J. Klotzbach et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

(2018) He Li et al.   IEEE NETWORK

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality

(2018) Zhongang Qi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Learning Frameworks on Apache Spark: A Review

(2018) Nikitha Johnsirani Venkatesan et al.   IETE TECHNICAL REVIEW

Environmental microorganism classification using conditional random fields and deep convolutional neural networks

(2018) Sergey Kosov et al.   PATTERN RECOGNITION

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite

(2018) Jiayun Yao et al.   REMOTE SENSING OF ENVIRONMENT

Support vector regression snow-depth retrieval algorithm using passive microwave remote sensing data

(2018) Xiongxin Xiao et al.   REMOTE SENSING OF ENVIRONMENT

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

(2018) Farzaneh Sajedi-Hosseini et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

(2018) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery

(2018) Yi Zhao et al.   SENSORS

Bat detective—Deep learning tools for bat acoustic signal detection

(2018) Oisin Mac Aodha et al.   PLoS Computational Biology

Retrieving Temperature Anomaly in the Global Subsurface and Deeper Ocean From Satellite Observations

(2018) Hua Su et al.   JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS

Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations

(2018) Peer Johannes Nowack et al.   Environmental Research Letters

Sea Ice Sensing From GNSS-R Data Using Convolutional Neural Networks

(2018) Qingyun Yan et al.   IEEE Geoscience and Remote Sensing Letters

Deep Learning with Multi-scale Feature Fusion in Remote Sensing for Automatic Oceanic Eddy Detection

(2018) Yanling Du et al.   Information Fusion

Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network

(2018) Min Xia et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Global Estimation of Biophysical Variables from Google Earth Engine Platform

(2018) Manuel Campos-Taberner et al.   Remote Sensing

Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series

(2018) Ziheng Sun et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Salinity Profile Estimation in the Pacific Ocean from Satellite Surface Salinity Observations

(2018) Senliang Bao et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

CityNet-Deep learning tools for urban ecoacoustic assessment

(2018) Alison J. Fairbrass et al.   Methods in Ecology and Evolution

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Intensified dust storm activity and Valley fever infection in the southwestern United States

(2017) Daniel Q. Tong et al.   GEOPHYSICAL RESEARCH LETTERS

Reconstruction of Subsurface Velocities From Satellite Observations Using Iterative Self-Organizing Maps

(2017) Christopher Chapman et al.   IEEE Geoscience and Remote Sensing Letters

Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network

(2017) Yongjie Zhan et al.   IEEE Geoscience and Remote Sensing Letters

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Mapping concentrations of surface water quality parameters using a novel remote sensing and artificial intelligence framework

(2017) Essam Sharaf El Din et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Extreme learning machine model for water network management

(2017) Ahmed M. A. Sattar et al.   NEURAL COMPUTING & APPLICATIONS

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

Air quality monitoring using mobile microscopy and machine learning

(2017) Yi-Chen Wu et al.   Light-Science & Applications

Automated Diatom Classification (Part B): A Deep Learning Approach

(2017) Anibal Pedraza et al.   Applied Sciences-Basel

Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction

(2016) A. Belayneh et al.   ATMOSPHERIC RESEARCH

Critical Review of Health Impacts of Wildfire Smoke Exposure

(2016) Colleen E. Reid et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study

(2016) Lei Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

(2016) Sanggyun Lee et al.   Remote Sensing

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Driving Blind: Weather-Related Vision Hazards and Fatal Motor Vehicle Crashes

(2015) Walker S. Ashley et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

(2015) Bernard T. Nolan et al.   JOURNAL OF HYDROLOGY

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

(2015) Youngmin Seo et al.   JOURNAL OF HYDROLOGY

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Snow depth on Arctic sea ice derived from radar: In situ comparisons and time series analysis

(2015) Benjamin Holt et al.   JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS

Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia

(2014) Zahrul Umar et al.   CATENA

An insight into machine-learning algorithms to model human-caused wildfire occurrence

(2014) Marcos Rodrigues et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Machine learning approaches to coastal water quality monitoring using GOCI satellite data

(2014) Yong Hoon Kim et al.   GIScience & Remote Sensing

Automated Ice–Water Classification Using Dual Polarization SAR Satellite Imagery

(2014) Steven Leigh et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano

(2014) C. Hibert et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Oil Spill Mapping and Measurement in the Gulf of Mexico With Textural Classifier Neural Network Algorithm (TCNNA)

(2013) Oscar Garcia-Pineda et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

GeoPWProv: Interleaving Map and Faceted Metadata for Provenance Visualization and Navigation

(2013) Ziheng Sun et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Provenance Representation for the National Climate Assessment in the Global Change Information System

(2013) Curt Tilmes et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

(2013) S. Monira Sumi et al.   International Journal of Applied Mathematics and Computer Science

Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

(2013) Meike Kühnlein et al.   REMOTE SENSING OF ENVIRONMENT

Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects

(2012) Yang Zhang et al.   ATMOSPHERIC ENVIRONMENT

A Web-Based System for Classification of Remote Sensing Data

(2012) Angel Ferran et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Estimation of Subsurface Temperature Anomaly in the North Atlantic Using a Self-Organizing Map Neural Network

(2012) Xiangbai Wu et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

Design of Deep Belief Networks for Short-Term Prediction of Drought Index Using Data in the Huaihe River Basin

(2012) Junfei Chen et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Open access must enable open use

(2012) Cameron Neylon   NATURE

Nonparametric methods for drought severity estimation at ungauged sites

(2012) S. Sadri et al.   WATER RESOURCES RESEARCH

Using SAR images to delineate ocean oil slicks with a texture-classifying neural network algorithm (TCNNA)

(2011) Oscar Garcia-Pineda et al.   CANADIAN JOURNAL OF REMOTE SENSING

Global observations of nonlinear mesoscale eddies

(2011) Dudley B. Chelton et al.   PROGRESS IN OCEANOGRAPHY

Climate Data Challenges in the 21st Century

(2011) J. T. Overpeck et al.   SCIENCE

GIS-based spatial prediction of landslide susceptibility using logistic regression model

(2011) Seyedeh Zohreh Mousavi et al.   Geomatics Natural Hazards & Risk

The Surface Water and Ocean Topography Mission: Observing Terrestrial Surface Water and Oceanic Submesoscale Eddies

(2010) Michael Durand et al.   PROCEEDINGS OF THE IEEE

Prediction of daily maximum ground ozone concentration using support vector machine

(2009) Asha B. Chelani   ENVIRONMENTAL MONITORING AND ASSESSMENT

River flow estimation from upstream flow records by artificial intelligence methods

(2009) M. Erkan Turan et al.   JOURNAL OF HYDROLOGY

A probabilistic neural network for earthquake magnitude prediction

(2009) Hojjat Adeli et al.   NEURAL NETWORKS

Effective forecasting of hourly typhoon rainfall using support vector machines

(2009) Gwo-Fong Lin et al.   WATER RESOURCES RESEARCH

Cluster analysis applied to regional geochemical data: Problems and possibilities

(2008) Matthias Templ et al.   APPLIED GEOCHEMISTRY

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

Multiple stages of melting and melt-solid interaction in the lower crust: new evidence from UHT granulites of Eastern Ghats Belt, India

(2008) Sankar BOSE et al.   Journal of Mineralogical and Petrological Sciences

Continuous Hidden Markov Models: Application to automatic earthquake detection and classification at Las Canãdas caldera, Tenerife

(2008) Moritz Beyreuther et al.   JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH