Big Data in Earth system science and progress towards a digital twin

Nature Reviews Earth & Environment, Journal Year: 2023, Volume and Issue: 4(5), P. 319 - 332

Published: May 2, 2023

Language: Английский

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Iterative integration of deep learning in hybrid Earth surface system modelling

Nature Reviews Earth & Environment, Journal Year: 2023, Volume and Issue: 4(8), P. 568 - 581

Published: July 11, 2023

Language: Английский

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Hybrid physics-machine learning models for predicting rate of penetration in the Halahatang oil field, Tarim Basin

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 12, 2024

Abstract Rate of penetration (ROP) is a key factor in drilling optimization, cost reduction and cycle shortening. Due to the systematicity, complexity uncertainty operations, however, it has always been problem establish highly accurate interpretable ROP prediction model guide optimize operations. To solve this Tarim Basin, study proposes four categories hybrid physics-machine learning (ML) methods for modeling. One which residual modeling, an ML learns predict errors or residuals, via physical model; second integrated coupling, output used as input third simple average, predictions from both are combined; last bootstrap aggregating (bagging), follows idea ensemble combine different models’ advantages. A total 5655 real data points Halahatang oil field were test performance various models. The results showed that modeling model, with R 2 0.9936, had best performance, followed by average bagging values 0.9394 0.5998, respectively. From view accuracy, interpretability, physics-ML optimal method prediction.

Language: Английский

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A mechanism-guided machine learning method for mapping gapless land surface temperature

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 303, P. 114001 - 114001

Published: Feb. 2, 2024

Language: Английский

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A robust framework for accurate land surface temperature retrieval: Integrating split-window into knowledge-guided machine learning approach

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 318, P. 114609 - 114609

Published: Jan. 22, 2025

Language: Английский

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Deep Learning for Automatic Detection of Volcanic and Earthquake-Related InSAR Deformation

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 686 - 686

Published: Feb. 18, 2025

Interferometric synthetic aperture radar (InSAR) technology plays a crucial role in monitoring surface deformation and has become widely used volcanic earthquake research. With the rapid advancement of satellite technology, InSAR now generates vast volumes data. Deep learning revolutionized data analysis, offering exceptional capabilities for processing large datasets. Leveraging these advancements, automatic detection from extensive datasets emerged as major research focus. In this paper, we first introduce several representative deep architectures commonly including convolutional neural networks (CNNs), recurrent (RNNs), generative adversarial (GANs), Transformer networks. Each architecture offers unique advantages addressing challenges We then systematically review recent progress identification signals images using techniques. This highlights two key aspects: design network methodologies constructing Finally, discuss propose potential solutions. study aims to provide comprehensive overview current applications extracting features, with particular focus on monitoring.

Language: Английский

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Evolution of soil moisture mapping from statistical models to integrated mechanistic and geoscience-aware approaches

Published: March 1, 2025

Language: Английский

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Water Quality Prediction Method Coupling Mechanism Model and Machine Learning for Water Diversion Projects with a Lack of Data

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Language: Английский

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Deep learning coupled with split window and temperature-emissivity separation (DL-SW-TES) method improves clear-sky high-resolution land surface temperature estimation

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 225, P. 1 - 18

Published: April 24, 2025

Language: Английский

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Big Earth Data boost UN SDGs

Science Bulletin, Journal Year: 2023, Volume and Issue: 68(8), P. 773 - 774

Published: March 30, 2023

Language: Английский

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