Climate & Environment

122 cases, highest importance first. Mean importance 5.7. Combined citations 12,894.

Industries weather forecasting 27 environmental monitoring 5 grid forecasting 4 flood forecasting 4 wildfire management 3 agriculture 3 precision agriculture 3 building energy 3 renewable energy 3 remote sensing 3 environmental health 2 emissions monitoring 2

#	Paper	Year	Citations	Importance
1	Global high-resolution ultrafine particle number concentrations through data fusion with machine learning Pantelis Georgiades, Matthias Kohl, Mihalis A. Nicolaou, T. Christoudi...	2025	9	8
2	Machine Learning in Carbon Capture, Utilization, Storage, and Transportation: A Review of Applications in Greenhouse Gas Emissions Reduction Xuejia Du, Muhammad Noman Khan, Ganesh C. Thakur	2025	25	8
3	Automatic detection of methane emissions in multispectral satellite imagery using a vision transformer Bertrand Rouet‐Leduc, Claudia Hulbert	2024	91	8
4	Learning skillful medium-range global weather forecasting Rémi Lam, Álvaro Sánchez‐González, Matthew Willson, Peter Wirnsberger,...	2023	1,416	8
5	Accurate medium-range global weather forecasting with 3D neural networks Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, Qi Chuan...	2023	1,631	8
6	FuXi: a cascade machine learning forecasting system for 15-day global weather forecast Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Qi Yuan,...	2023	355	8
7	Skilful nowcasting of extreme precipitation with NowcastNet Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin...	2023	451	8
8	Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie	2023	378	8
9	An Intelligent Early Flood Forecasting and Prediction Leveraging Machine and Deep Learning Algorithms with Advanced Alert System Israa M. Hayder, Taief Alaa Al-Amiedy, Wad Ghaban, Faisal Saeed, Maged...	2023	74	8
10	Predicting Rapid Intensification in North Atlantic and Eastern North Pacific Tropical Cyclones Using a Convolutional Neural Network Sarah M. Griffin, Anthony Wimmers, Christopher S. Velden	2022	33	8
11	Detecting Arsenic Contamination Using Satellite Imagery and Machine Learning Ayush Agrawal, Mark Roger Petersen	2021	22	8
12	Machine learning accelerated descriptor design for catalyst discovery in CO2 to methanol conversion Prajwal Sanjay Pisal, Ondřej Krejčí, Patrick Rinke	2025	25	7
13	Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms Andisani Netsianda, Paidamwoyo Mhangara	2025	20	7
14	Deep learning of flood forecasting by considering interpretability and physical constraints Ting Zhang, Ran Zhang, Jianzhu Li, Ping Feng	2025	16	7
15	Enhancing PET Degrading Enzymes: A Combinatory Approach Yvonne Joho, Santana Royan, Alessandro T. Caputo, Sophia Newton, Thoma...	2024	29	7
16	U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers Jack Bruno, Dylan Jervis, Daniel J. Varon, Daniel J. Jacob	2024	39	7
17	Review of Methods for Automatic Plastic Detection in Water Areas Using Satellite Images and Machine Learning Aleksandr Danilov, Elizaveta Serdiukova	2024	27	7
18	METEO-DLNet: Quantitative Precipitation Nowcasting Net Based on Meteorological Features and Deep Learning Jianping Hu, Bo Yin, Chaoqun Guo	2024	14	7
19	Predicting Short-Term Intensity Change in Tropical Cyclones Using a Convolutional Neural Network Sarah M. Griffin, Anthony Wimmers, Christopher S. Velden	2024	17	7
20	Weed Detection Using Deep Learning: A Systematic Literature Review Nafeesa Yousuf Murad, Tariq Mahmood, Abdur Rahim Mohammad Forkan, Ahsa...	2023	106	7
21	An Efficient Wildfire Detection System for AI-Embedded Applications Using Satellite Imagery George L. James, Ryeim B. Ansaf, Sanaa S.A. Al-Samahi, Rebecca D. Park...	2023	41	7
22	Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques Tshepang Duncan Morapedi, Ibidun Christiana Obagbuwa	2023	29	7
23	Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management John S. Schreck, William Petzke, Pedro A. Jiménez, Thomas Brummet, Jas...	2023	14	7
24	A review of the application of machine learning in water quality evaluation Mengyuan Zhu, Jiawei Wang, Xiao Yang, Yu Zhang, Linyu Zhang, Hongqiang...	2022	793	7
25	The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms Yanxi Zhao, Dengpan Xiao, Huizi Bai, Jianzhao Tang, De Li Liu, Yongqin...	2022	33	7
26	Forecasting Amazon Rain-Forest Deforestation Using a Hybrid Machine Learning Model David Domínguez, Luis de Juan del Villar, Odette Pantoja Díaz, Mario G...	2022	32	7
27	Large-scale demonstration of machine learning for the detection of volcanic deformation in Sentinel-1 satellite imagery Juliet Biggs, Nantheera Anantrasirichai, F. Albino, Milan Lazecký, Yas...	2022	31	7
28	Tropical Cyclone Track Prediction with an Encoding-to-Forecasting Deep Learning Model Pingping Dong, Jie Lian, Hui Yu, Jianguo Pan, Yuping Zhang, Guomin Che...	2022	26	7
29	Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow André D. L. Zanchetta, Paulin Coulibaly	2022	38	7
30	Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models Jonathan A Weyn, Dale Richard Durran, Rich Caruana, Nathaniel Cresswel...	2021	190	7
31	Improved Weather Forecasting Using Neural Network Emulation for Radiation Parameterization Hwan‐Jin Song, Soonyoung Roh	2021	44	7
32	Global Wildfire Outlook Forecast with Neural Networks Yongjia Song, Yuhang Wang	2020	28	7
33	Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, Ahmad M. Dalo...	2020	305	7
34	Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning Remis Balaniuk, Olga Isupova, Steven Reece	2020	3	7
35	Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events Gabriele Franch, Daniele Nerini, Marta Pendesini, Luca Coviello, Giuse...	2020	97	7
36	Wildfire Susceptibility Mapping Using Deep Learning and Machine Learning Models Based on Multi-Sensor Satellite Data Fusion: A Case Study of Serbia Uroš Durlević, Velibor Ilić, Aleksandar Valjarević	2025	26	6
37	The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context Zied Ben Bouallègue, Mariana Clare, Linus Magnusson, Estíbaliz Gascón,...	2024	211	6
38	Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning—A Comparison between High-End and Low-Cost Multispectral Sensors Anna Teresa Seiche, Lucas Wittstruck, Thomas Jarmer	2024	29	6
39	Deep learning for prediction of energy consumption: an applied use case in an office building Roberto Morcillo-Jiménez, Jesús Mesa, Juan Gómez‐Romero, M.A. Vila, Ma...	2024	37	6
40	The limitation of machine learning methods for water supply and demand forecasting: A case study for Greater Melbourne, Australia Maryam Mohammadi, Shirley Gato-Trinidad, Kuok King Kuok	2024	11	6
41	Reconstruction of tropical cyclone boundary layer wind field using physics-informed machine learning Feng Hu, Q.S. Li	2024	13	6
42	Deep learning model based on multi-scale feature fusion for precipitation nowcasting Jinkai Tan, Qiqiao Huang, Sheng Chen	2024	27	6
43	Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Özlem Baydaroğlu, İbrahim Demir	2024	15	6
44	Improving Precipitation Forecasts with Convolutional Neural Networks Anirudhan Badrinath, Luca Delle Monache, Negin Hayatbini, Will Chapman...	2023	26	6
45	Machine learning in biohydrogen production: a review Avinash Alagumalai, D. Balaji, Hua Song, Somchai Wongwises, Rodrigo Le...	2023	76	6
46	Land Use and Land Cover Classification Meets Deep Learning: A Review Shengyu Zhao, Kaiwen Tu, Shutong Ye, Hao Tang, Yaocong Hu, Chao Xie	2023	123	6
47	A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features Hamed Farahmand, Yuanchang Xu, Ali Mostafavi	2023	79	6
48	Advanced Machine Learning Techniques for Accurate Very-Short-Term Wind Power Forecasting in Wind Energy Systems Using Historical Data Analysis G. Ponkumar, S. Jayaprakash, K. Karthick	2023	57	6
49	Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model Jussi Leinonen, Ulrich Hamann, Ioannis Vasileios Sideris, Urs Germann	2023	52	6
50	3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting Shiqing Guo, Nengli Sun, Yanle Pei, Qian Li	2023	40	6
51	A Customized Multi‐Scale Deep Learning Framework for Storm Nowcasting Shangshang Yang, Huiling Yuan	2023	21	6
52	Integrating Satellite Imagery and Ground-Based Measurements with a Machine Learning Model for Monitoring Lake Dynamics over a Semi-Arid Region Kenneth Okechukwu Ekpetere, Mohamed Abdelkader, Ishaya Sunday, Edith M...	2023	15	6
53	Systematic Review of Deep Learning and Machine Learning for Building Energy Sina Ardabili, Leila Abdolalizadeh, Csaba Makó, Bernat Torok, Amir Hos...	2022	126	6
54	Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning D. Kothandaraman, N. Praveena, K. Varadarajkumar, B. Madhav Rao, Dharm...	2022	81	6
55	ProbSevere LightningCast: A Deep-Learning Model for Satellite-Based Lightning Nowcasting John L. Cintineo, Michael J. Pavolonis, Justin M. Sieglaff	2022	30	6
56	Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? Jacob J. Coburn, S. C. Pryor	2022	16	6
57	Deep learning for post-processing ensemble weather forecasts Peter Grönquist, Chengyuan Yao, Tal Ben‐Nun, Nikoli Dryden, Peter Domi...	2021	196	6
58	Use of Deep Learning for Weather Radar Nowcasting Joaquin Cuomo, V. Chandrasekar	2021	28	6
59	Ensemble Methods for Neural Network‐Based Weather Forecasts Sebastian Scher, Gabriele Messori	2020	87	6
60	Probabilistic Forecasting of El Niño Using Neural Network Models Paul Petersik, Henk A. Dijkstra	2020	52	6
61	Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment Shamsudeen Temitope Yekeen, Abdul‐Lateef Balogun	2020	129	6
62	Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning Heng Lü, Lei Ma, Xiao Fu, Chao Liu, Zhi Wang, Min Tang, Naiwen Li	2020	89	6
63	Monitoring hydropower reliability in Malawi with satellite data and machine learning Giacomo Falchetta, Chisomo Kasamba, Simon C. Parkinson	2020	23	6
64	Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data Lei Han, Juanzhen Sun, Wei Zhang	2019	95	6
65	Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks Mohamed Ahmed, Mohamed Sultan, Tamer M. Elbayoumi, Philippe E. Tissot	2019	79	6
66	Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model Jiali Wang, Prasanna Balaprakash, Veerabhadra Rao Kotamarthi	2019	60	6
67	Benchmark analysis of day-ahead solar power forecasting techniques using weather predictions Lennard Visser, Tarek A. AlSkaif, Wilfried G.J.H.M. van Sark	2019	40	6
68	Predicting day-ahead solar irradiance through gated recurrent unit using weather forecasting data Bixuan Gao, Xiaoqiao Huang, Junsheng Shi, Yonghang Tai, Rui Xiao	2019	51	6
69	Neural Networks for Postprocessing Ensemble Weather Forecasts Stephan Rasp, Sebastian Lerch	2018	509	6
70	Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches Seongmun Sim, Jungho Im, Sumin Park, Haemi Park, Myoung‐Hwan Ahn, Pak...	2018	29	6
71	A machine learning approach for wind turbine power forecasting for maintenance planning Hariom Dhungana	2025	41	5
72	Research on building energy consumption prediction algorithm based on customized deep learning model Zheng Liang, Junjie Chen	2025	11	5
73	Comparative Analysis of Machine-Learning Models for Soil Moisture Estimation Using High-Resolution Remote-Sensing Data Ming Li, Yueguan Yan	2024	49	5
74	Optimizing Crop Yield Prediction: Data-Driven Analysis and Machine Learning Modeling Using USDA Datasets Ravindra Kumar Yadav, Anita Seth, Naresh Dembla	2024	10	5
75	Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning Adela Bârã, Simona‐Vasilica Oprea	2024	18	5
76	A Deep Learning Model for Precipitation Nowcasting Using Multiple Optical Flow Algorithms Ji-Hoon Ha, Hyesook Lee	2024	15	5
77	War and Deforestation: Using Remote Sensing and Machine Learning to Identify the War-Induced Deforestation in Syria 2010–2019 Angham Daiyoub, Pere Gelabert, Sandra Saura‐Mas, Cristina Vega‐García	2023	49	5
78	Air Quality Index (AQI) Prediction in Holy Makkah Based on Machine Learning Methods Abdulrazak H. Almaliki, Abdessamed Derdour, Enas Ali	2023	25	5
79	Precipitation Nowcasting Based on Deep Learning over Guizhou, China Dexuan Kong, Xiefei Zhi, Yan Ji, Chunyan Yang, Yuhong Wang, Yuntao Tia...	2023	14	5
80	Correcting Systematic and State‐Dependent Errors in the NOAA FV3‐GFS Using Neural Networks Tse‐Chun Chen, Stephen Gregory Penny, Jeffrey S. Whitaker, Sergey Frol...	2022	34	5
81	Low Cloud Detection in Multilayer Scenes Using Satellite Imagery with Machine Learning Methods John M. Haynes, Yoo‐Jeong Noh, Steven D. Miller, Katherine Haynes, Imm...	2022	24	5
82	A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning Nier Wang, Zhanming Li	2022	13	5
83	Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study Raoof Naushad, Tarunpreet Kaur, Ebrahim Ghaderpour	2021	189	5
84	Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error Daniel Vassallo, Raghavendra Krishnamurthy, Harindra J. S. Fernando	2021	27	5
85	Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems Simian Pang, Zixuan Zheng, Fan Luo, Xianyong Xiao, Lanlan Xu	2021	19	5
86	Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California Michael Scheuerer, Matthew Blaise Switanek, Rochelle Pauline Worsnop,...	2020	82	5
87	Flood Prediction and Uncertainty Estimation Using Deep Learning Vinayaka Gude, Steven Michael Corns, Suzanna K. Long	2020	99	5
88	Demystifying the use of ERA5‐land and machine learning for wind power forecasting Alexander Marinšek, Gregor Bajt	2020	20	5
89	Air Quality Index and Air Pollutant Concentration Prediction Based on Machine Learning Algorithms Huixiang Liu, Qing X. Li, Dongbing Yu, Yu Gu	2019	226	5
90	Predicting weather forecast uncertainty with machine learning Sebastian Scher, Gabriele Messori	2018	223	5
91	An Internet of Things System for Underground Mine Air Quality Pollutant Prediction Based on Azure Machine Learning Byung-Wan Jo, Rana Muhammad Asad Khan	2018	104	5
92	Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion Ting Bai, Deren Li, Kaimin Sun, Yepei Chen, Wenzhuo Li	2016	111	5
93	LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting Te Li, Mengze Zheng, Yan Zhou	2025	12	4
94	Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning Delia Velasco-Montero, Jorge Fernández‐Berni, Ricardo Carmona‐Galán, A...	2024	39	4
95	Land-Cover Classification Using Deep Learning with High-Resolution Remote-Sensing Imagery Muhammad Fayaz, Junyoung Nam, L. Minh Dang, Hyoung‐Kyu Song, Hyeonjoon...	2024	78	4
96	Transformer-based land use and land cover classification with explainability using satellite imagery Mehak Khan, Abdul Hanan, Meruyert Kenzhebay, Michele Gazzea, Reza Argh...	2024	66	4
97	Forest Disturbance Monitoring Using Cloud-Based Sentinel-2 Satellite Imagery and Machine Learning Tamás Molnár, Géza Király	2024	17	4
98	Automated visitor and wildlife monitoring with camera traps and machine learning Veronika Mitterwallner, Anne Peters, Hendrik Edelhoff, Gregor Mathes,...	2023	42	4
99	Multi-Branch Deep Learning Framework for Land Scene Classification in Satellite Imagery Sultan Daud Khan, Saleh M. Basalamah	2023	72	4
100	Sweet corn yield prediction using machine learning models and field-level data Daljeet S. Dhaliwal, Martin Williams	2023	60	4
101	Efficient Deep Semantic Segmentation for Land Cover Classification Using Sentinel Imagery Anastasios Tzepkenlis, Konstantinos Marthoglou, Nikos Grammalidis	2023	55	4
102	Machine Learning-Based Land Use and Land Cover Mapping Using Multi-Spectral Satellite Imagery: A Case Study in Egypt Rehab Mahmoud, Mohamed Hassanin, Haytham Al-Feel, Rasha M. Badry	2023	26	4
103	Machine Learning-Based Cost-Effective Smart Home Data Analysis and Forecasting for Energy Saving Sanguk Park	2023	14	4
104	Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links Christian Gianoglio, Ayham Alyosef, Matteo Colli, Sara Zani, Daniele D...	2023	16	4
105	Evaluation of Machine Learning Algorithms for Air Quality Index (AQI) Prediction Alka Pant, Sanjay Sharma, Kamal Pant	2023	19	4
106	Machine learning for surrogate process models of bioproduction pathways Tyler Tarr Huntington, Nawa Raj Baral, Minliang Yang, Eric R. Sundstro...	2022	36	4
107	Deep Learning-Based Weed Detection in Turf: A Review Xiaojun Jin, Teng Liu, Yong Chen, Jialin Yu	2022	35	4
108	A comparative evaluation of convolutional neural networks, training image sizes, and deep learning optimizers for weed detection in alfalfa Jie Yang, Muthukumar Bagavathiannan, Yundi Wang, Yong Chen, Jialin Yu	2022	30	4
109	Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning Helder Pereira, Luís Gomes, Zita Vale	2022	33	4
110	Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian	2020	168	4
111	ARPEGE Cloud Cover Forecast Postprocessing with Convolutional Neural Network Florian Dupuy, Olivier Mestre, Mathieu Serrurier, Valentín Kivachuk Bu...	2020	40	4
112	Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station Pradeep Hewage, Ardhendu Behera, Marcello Trovati, Ella Pereira, Morte...	2020	728	4
113	Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications Thorsten Hoeser, Felix Bachofer, Claudia Kuenzer	2020	177	4
114	Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning Dmitriy E. Kislov, Kirill Korznikov	2020	62	4
115	Machine Learning Techniques for Land Use/Land Cover Classification of Medium Resolution Optical Satellite Imagery Focusing on Temporary Inundated Areas Boudewijn van Leeuwen, Zalán Tobak, Ferenc Kovács	2020	33	4
116	Machine Learning Weather Soft-Sensor for Advanced Control of Wastewater Treatment Plants Félix Hernández‐del‐Olmo, Elena Gaudioso, Natividad Duro, Raquel Dormi...	2019	51	4
117	Toward Data‐Driven Weather and Climate Forecasting: Approximating a Simple General Circulation Model With Deep Learning Sebastian Scher	2018	303	4
118	Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification Tao Zhou, Zhaofu Li, Jianjun Pan	2018	46	4
119	Evaluation of Thunderstorm Predictors for Finland Using Reanalyses and Neural Networks Peter Ukkonen, Agostino Manzato, Antti Mäkelä	2017	31	4
120	Maize yield forecasting by linear regression and artificial neural networks in Jilin, China Kanichiro Matsumura, Carlos F. Gaitán, K. SUGIMOTO, Alex J. Cannon, Wi...	2014	100	4
121	Land Cover Mapping from Colorized CORONA Archived Greyscale Satellite Data and Feature Extraction Classification Άθως Αγαπίου	2021	14	3
122	Visualization of Neural Network Predictions for Weather Forecasting Isabelle Roesch, Tobias Günther	2018	28	3

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