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RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.62

2021

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Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network

Knowledge-based systems, 2018-11, Vol.160, p.61-70

2018

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Explainable machine learning to uncover hydrogen diffusion mechanism in clinopyroxene

Chemical geology, 2023-12, Vol.641, p.121776, Article 121776

2023

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Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals

Environmental pollution (1987), 2021-03, Vol.273, p.116456, Article 116456

2021

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Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area

Natural hazards (Dordrecht), 2023-08, Vol.118 (1), p.525-543

2023

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Variation in Concentration and Sources of Black Carbon in a Megacity of China During the COVID‐19 Pandemic

Geophysical research letters, 2020-12, Vol.47 (23), p.e2020GL090444-n/a

2020

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Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.905

2021

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Machine learning reveals the influence of the Changbaishan mantle plume sourced from the mantle transition zone on Cenozoic intraplate magmatism in NE China

Chemical geology, 2024-09, Vol.663, p.122282, Article 122282

2024

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A deep learning crop model for adaptive yield estimation in large areas

International journal of applied earth observation and geoinformation, 2022-06, Vol.110, p.102828, Article 102828

2022

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Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3918

2022

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GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images

Remote sensing (Basel, Switzerland), 2024-02, Vol.16 (4), p.616

2024

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Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention Mechanism

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (11), p.2653

2022

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Spatial and temporal processes visualization for marine environmental data using particle system

Computers & geosciences, 2019-06, Vol.127, p.53-64

2019

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ENSO Forecasts With Spatiotemporal Fusion Transformer Network

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.17066-17074

2024

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Pacific Decadal Oscillation Forecasting With Spatiotemporal Embedding Network

Geophysical research letters, 2023-08, Vol.50 (16), p.n/a

2023

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Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean

International journal of applied earth observation and geoinformation, 2024-09, Vol.133, p.104120, Article 104120

2024

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Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data

ISPRS international journal of geo-information, 2018-11, Vol.7 (12), p.459

2018

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An Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light Data

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3810

2020

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Enhancing mineral prospectivity mapping with geospatial artificial intelligence: A geographically neural network-weighted logistic regression approach

International journal of applied earth observation and geoinformation, 2024-04, Vol.128, p.103746, Article 103746

2024

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Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102897, Article 102897

2022

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House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China

ISPRS international journal of geo-information, 2022-08, Vol.11 (8), p.450

2022

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A Graph Memory Neural Network for Sea Surface Temperature Prediction

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3539

2023

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Identifying Damaged Buildings in Aerial Images Using the Object Detection Method

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4213

2021

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High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing–Tianjin–Hebei Region Based on TROPOMI Data

Remote sensing (Basel, Switzerland), 2023-08, Vol.15 (15), p.3878

2023

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Ecosystem health assessment in coastal waters by considering spatio-temporal variations with intense anthropogenic disturbance

Environmental modelling & software : with environment data news, 2017-10, Vol.96, p.128-139

2017

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RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images

Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network

Explainable machine learning to uncover hydrogen diffusion mechanism in clinopyroxene

Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals

Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area

Variation in Concentration and Sources of Black Carbon in a Megacity of China During the COVID‐19 Pandemic

Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets

Machine learning reveals the influence of the Changbaishan mantle plume sourced from the mantle transition zone on Cenozoic intraplate magmatism in NE China

A deep learning crop model for adaptive yield estimation in large areas

Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data

GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images

Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention Mechanism

Spatial and temporal processes visualization for marine environmental data using particle system

ENSO Forecasts With Spatiotemporal Fusion Transformer Network

Pacific Decadal Oscillation Forecasting With Spatiotemporal Embedding Network

Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean

Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data

An Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light Data

Enhancing mineral prospectivity mapping with geospatial artificial intelligence: A geographically neural network-weighted logistic regression approach

Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model

House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China

A Graph Memory Neural Network for Sea Surface Temperature Prediction

Identifying Damaged Buildings in Aerial Images Using the Object Detection Method

High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing–Tianjin–Hebei Region Based on TROPOMI Data

Ecosystem health assessment in coastal waters by considering spatio-temporal variations with intense anthropogenic disturbance

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