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Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

Ecological indicators, 2021-06, Vol.125, p.107562, Article 107562

2021

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Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102890, Article 102890

2022

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Classification of Citrus Huanglongbing Degree Based on CBAM-MobileNetV2 and Transfer Learning

Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5587

2023

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Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images

Ecological indicators, 2022-07, Vol.140, p.108989, Article 108989

2022

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Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series

International journal of applied earth observation and geoinformation, 2023-08, Vol.122, p.103446, Article 103446

2023

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Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China

Ecological indicators, 2023-10, Vol.154, p.110755, Article 110755

2023

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Synergy of multi-temporal polarimetric SAR and optical image satellite for mapping of marsh vegetation using object-based random forest algorithm

Ecological indicators, 2021-11, Vol.131, p.108173, Article 108173

2021

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Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images

Scientific reports, 2022-08, Vol.12 (1), p.13270-16, Article 13270

2022

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Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data

International journal of applied earth observation and geoinformation, 2021-12, Vol.104, p.102553, Article 102553

2021

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Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data

Canadian journal of remote sensing, 2024-12, Vol.50 (1)

2024

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Estimation of daytime all-sky sea surface temperature from Himawari-8 based on multilayer stacking machine learning

International journal of applied earth observation and geoinformation, 2024-08, Vol.132, p.104055, Article 104055

2024

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Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements

Ecological indicators, 2024-01, Vol.158, p.111329, Article 111329

2024

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A Novel Algorithm for the Retrieval of Chlorophyll a in Marine Environments Using Deep Learning

Water (Basel), 2023-11, Vol.15 (21), p.3864

2023

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Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms

International journal of applied earth observation and geoinformation, 2021-12, Vol.103, p.102531, Article 102531

2021

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Assessing the contribution of human activities and climate change to the dynamics of NPP in ecologically fragile regions

Global ecology and conservation, 2023-04, Vol.42, p.e02393, Article e02393

2023

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Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay

Remote sensing (Basel, Switzerland), 2023-10, Vol.15 (19), p.4824

2023

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Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods

International journal of applied earth observation and geoinformation, 2023-12, Vol.125, p.103588, Article 103588

2023

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Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China

Ecological indicators, 2023-10, Vol.154, p.110870, Article 110870

2023

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Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine

Ecological indicators, 2022-04, Vol.137, p.108763, Article 108763

2022

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Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification

International journal of applied earth observation and geoinformation, 2024-11, Vol.134, p.104197, Article 104197

2024

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A Calibrated GPT3 (CGPT3) Model for the Site-Specific Zenith Hydrostatic Delay Estimation in the Chinese Mainland and Its Surrounding Areas

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6357

2022

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A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (15), p.3008

2021

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Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data

International journal of applied earth observation and geoinformation, 2024-07, Vol.131, p.103963, Article 103963

2024

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Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5533

2022

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Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3762

2022

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Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

Classification of Citrus Huanglongbing Degree Based on CBAM-MobileNetV2 and Transfer Learning

Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images

Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series

Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China

Synergy of multi-temporal polarimetric SAR and optical image satellite for mapping of marsh vegetation using object-based random forest algorithm

Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images

Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data

Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data

Estimation of daytime all-sky sea surface temperature from Himawari-8 based on multilayer stacking machine learning

Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements

A Novel Algorithm for the Retrieval of Chlorophyll a in Marine Environments Using Deep Learning

Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms

Assessing the contribution of human activities and climate change to the dynamics of NPP in ecologically fragile regions

Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay

Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods

Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China

Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine

Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification

A Calibrated GPT3 (CGPT3) Model for the Site-Specific Zenith Hydrostatic Delay Estimation in the Chinese Mainland and Its Surrounding Areas

A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements

Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data

Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods

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