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

Nature Reviews Earth & Environment, Год журнала: 2023, Номер 4(5), С. 319 - 332

Опубликована: Май 2, 2023

Язык: Английский

---

Iterative integration of deep learning in hybrid Earth surface system modelling

Nature Reviews Earth & Environment, Год журнала: 2023, Номер 4(8), С. 568 - 581

Опубликована: Июль 11, 2023

Язык: Английский

---

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

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 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.

Язык: Английский

---

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

Remote Sensing of Environment, Год журнала: 2024, Номер 303, С. 114001 - 114001

Опубликована: Фев. 2, 2024

Язык: Английский

---

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

Remote Sensing of Environment, Год журнала: 2025, Номер 318, С. 114609 - 114609

Опубликована: Янв. 22, 2025

Язык: Английский

---

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

Remote Sensing, Год журнала: 2025, Номер 17(4), С. 686 - 686

Опубликована: Фев. 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.

Язык: Английский

---

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

Опубликована: Март 1, 2025

Язык: Английский

---

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

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Язык: Английский

---

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, Год журнала: 2025, Номер 225, С. 1 - 18

Опубликована: Апрель 24, 2025

Язык: Английский

---

Big Earth Data boost UN SDGs

Science Bulletin, Год журнала: 2023, Номер 68(8), С. 773 - 774

Опубликована: Март 30, 2023

Язык: Английский

---