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Link to original content: https://dblp.org/pid/23/110-5.rss
dblp: Dong Liang https://dblp.org/pid/23/110-5.html dblp person page RSS feed Mon, 02 Dec 2024 21:25:26 +0100 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Dong Lianghttps://dblp.org/pid/23/110-5.html14451 High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data.https://doi.org/10.1016/j.jag.2024.103812, , , , , :
High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data. Int. J. Appl. Earth Obs. Geoinformation 129: 103812 ()]]>
https://dblp.org/rec/journals/aeog/WuY0S0024Mon, 01 Jan 2024 00:00:00 +0100
Automated surface melt detection over the Antarctic from Sentinel-1 imagery using deep learning.https://doi.org/10.1016/j.jag.2024.103895, , , , , , :
Automated surface melt detection over the Antarctic from Sentinel-1 imagery using deep learning. Int. J. Appl. Earth Obs. Geoinformation 130: 103895 ()]]>
https://dblp.org/rec/journals/aeog/ZhuG00WHD24Mon, 01 Jan 2024 00:00:00 +0100
Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023.https://doi.org/10.1080/17538947.2024.2390438, , , , , , , :
Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023. Int. J. Digit. Earth 17(1) ()]]>
https://dblp.org/rec/journals/digearth/ZhuGZLWLDD24Sun, 01 Dec 2024 00:00:00 +0100
Unveiling Glacier Mass Balance: Albedo Aggregation Insights for Austrian and Norwegian Glaciers.https://doi.org/10.3390/rs16111914, , , , :
Unveiling Glacier Mass Balance: Albedo Aggregation Insights for Austrian and Norwegian Glaciers. Remote. Sens. 16(11): 1914 ()]]>
https://dblp.org/rec/journals/remotesensing/YeCHHL24Sat, 01 Jun 2024 01:00:00 +0200
Reconstructing daily snow and ice albedo series for Greenland by coupling spatiotemporal and physics-informed models.https://doi.org/10.1016/j.jag.2023.103519, , , , , , :
Reconstructing daily snow and ice albedo series for Greenland by coupling spatiotemporal and physics-informed models. Int. J. Appl. Earth Obs. Geoinformation 124: 103519 ()]]>
https://dblp.org/rec/journals/aeog/YeCHYMLS23Wed, 01 Nov 2023 00:00:00 +0100
High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images.https://doi.org/10.1080/17538947.2023.2181991, , , , , , :
High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images. Int. J. Digit. Earth 16(1): 825-846 ()]]>
https://dblp.org/rec/journals/digearth/ZhuGZLLZG23Fri, 01 Dec 2023 00:00:00 +0100
Research on Correlation Analysis Method of Time Series Features Based on Dynamic Time Warping Algorithm.https://doi.org/10.1109/LGRS.2023.3285788, , , , , , , , :
Research on Correlation Analysis Method of Time Series Features Based on Dynamic Time Warping Algorithm. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 ()]]>
https://dblp.org/rec/journals/lgrs/LiuGZLZLLDG23Sun, 01 Jan 2023 00:00:00 +0100
Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet.https://doi.org/10.1109/JSTARS.2023.3323742, , , :
Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10216-10229 ()]]>
https://dblp.org/rec/journals/staeors/ChengZLY23Sun, 01 Jan 2023 00:00:00 +0100
Remote-Sensing Interpretation for Soil Elements Using Adaptive Feature Fusion Network.https://doi.org/10.1109/TGRS.2023.3307977, , , , , , :
Remote-Sensing Interpretation for Soil Elements Using Adaptive Feature Fusion Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 ()]]>
https://dblp.org/rec/journals/tgrs/LuHXDHWL23Sun, 01 Jan 2023 00:00:00 +0100
Semantic Segmentation of Land Cover in Urban Areas by Fusing Multisource Satellite Image Time Series.https://doi.org/10.1109/TGRS.2023.3329709, , , , , :
Semantic Segmentation of Land Cover in Urban Areas by Fusing Multisource Satellite Image Time Series. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 ()]]>
https://dblp.org/rec/journals/tgrs/YanLLWLW23Sun, 01 Jan 2023 00:00:00 +0100
GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global-Local Attention.https://doi.org/10.1109/TGRS.2023.3324404, , , , , , :
GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global-Local Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 ()]]>
https://dblp.org/rec/journals/tgrs/ZhuGZLWLL23Sun, 01 Jan 2023 00:00:00 +0100
Mapping mountain glaciers using an improved U-Net model with cSE.https://doi.org/10.1080/17538947.2022.2036834, , , , :
Mapping mountain glaciers using an improved U-Net model with cSE. Int. J. Digit. Earth 15(1): 463-477 ()]]>
https://dblp.org/rec/journals/digearth/TianDFLW22Sat, 01 Jan 2022 00:00:00 +0100
Correlation and interaction between temperature and freeze-thaw in representative regions of Antarctica.https://doi.org/10.1080/17538947.2022.2158242, , , , :
Correlation and interaction between temperature and freeze-thaw in representative regions of Antarctica. Int. J. Digit. Earth 15(1): 2296-2318 ()]]>
https://dblp.org/rec/journals/digearth/LiangGCZK22Thu, 01 Dec 2022 00:00:00 +0100
Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series.https://doi.org/10.3390/rs14061446, , , , , :
Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series. Remote. Sens. 14(6): 1446 ()]]>
https://dblp.org/rec/journals/remotesensing/YanHWZLZ22Sat, 01 Jan 2022 00:00:00 +0100
An Assessment of Electric Power Consumption Using Random Forest and Transferable Deep Model with Multi-Source Data.https://doi.org/10.3390/rs14061469, , , , :
An Assessment of Electric Power Consumption Using Random Forest and Transferable Deep Model with Multi-Source Data. Remote. Sens. 14(6): 1469 ()]]>
https://dblp.org/rec/journals/remotesensing/ChengFWYL22Sat, 01 Jan 2022 00:00:00 +0100
Study of the Relationship between High Mountain Asia Snow Cover and Drought and Flood in the Yangtze River Basin during 1980-2019.https://doi.org/10.3390/rs14153588, , , , , :
Study of the Relationship between High Mountain Asia Snow Cover and Drought and Flood in the Yangtze River Basin during 1980-2019. Remote. Sens. 14(15): 3588 ()]]>
https://dblp.org/rec/journals/remotesensing/ZhouZLLZG22Sat, 01 Jan 2022 00:00:00 +0100
Time-Series Monitoring of Dust-Proof Nets Covering Urban Construction Waste by Multispectral Images in Zhengzhou, China.https://doi.org/10.3390/rs14153805, , , , , , :
Time-Series Monitoring of Dust-Proof Nets Covering Urban Construction Waste by Multispectral Images in Zhengzhou, China. Remote. Sens. 14(15): 3805 ()]]>
https://dblp.org/rec/journals/remotesensing/LiGZLZLZ22Sat, 01 Jan 2022 00:00:00 +0100
Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence.https://doi.org/10.1109/JSTARS.2022.3150430, , , , , , :
Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1953-1967 ()]]>
https://dblp.org/rec/journals/staeors/YanLWLCZP22Sat, 01 Jan 2022 00:00:00 +0100
Offshore Petroleum Leaking Source Detection Method From Remote Sensing Data via Deep Reinforcement Learning With Knowledge Transfer.https://doi.org/10.1109/JSTARS.2022.3191122, , , :
Offshore Petroleum Leaking Source Detection Method From Remote Sensing Data via Deep Reinforcement Learning With Knowledge Transfer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5826-5840 ()]]>
https://dblp.org/rec/journals/staeors/WangWCL22Sat, 01 Jan 2022 00:00:00 +0100
Bayesian Temporal Tensor Factorization-Based Interpolation for Time-Series Remote Sensing Data With Large-Area Missing Observations.https://doi.org/10.1109/TGRS.2022.3140436, , , , , :
Bayesian Temporal Tensor Factorization-Based Interpolation for Time-Series Remote Sensing Data With Large-Area Missing Observations. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 ()]]>
https://dblp.org/rec/journals/tgrs/HeYWLPL22Sat, 01 Jan 2022 00:00:00 +0100
Large-Area Land-Cover Changes Monitoring With Time-Series Remote Sensing Images Using Transferable Deep Models.https://doi.org/10.1109/TGRS.2022.3160617, , , , , :
Large-Area Land-Cover Changes Monitoring With Time-Series Remote Sensing Images Using Transferable Deep Models. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 ()]]>
https://dblp.org/rec/journals/tgrs/YanWHLSH22Sat, 01 Jan 2022 00:00:00 +0100
Analyzing Antarctic ice sheet snowmelt with dynamic Big Earth Data.https://doi.org/10.1080/17538947.2020.1798522, , , , , , :
Analyzing Antarctic ice sheet snowmelt with dynamic Big Earth Data. Int. J. Digit. Earth 14(1): 88-105 ()]]>
https://dblp.org/rec/journals/digearth/LiangGZWWLS21Fri, 01 Jan 2021 00:00:00 +0100
Classification of Urban Functional Areas From Remote Sensing Images and Time-Series User Behavior Data.https://doi.org/10.1109/JSTARS.2020.3044250, , , , :
Classification of Urban Functional Areas From Remote Sensing Images and Time-Series User Behavior Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1207-1221 ()]]>
https://dblp.org/rec/journals/staeors/ChenYWLZ21Fri, 01 Jan 2021 00:00:00 +0100
Big Earth Data science: an information framework for a sustainable planet.https://doi.org/10.1080/17538947.2020.1743785, , , , , , , , , , , , :
Big Earth Data science: an information framework for a sustainable planet. Int. J. Digit. Earth 13(7): 743-767 ()]]>
https://dblp.org/rec/journals/digearth/GuoNLCWSCHPLSLA20Wed, 01 Jan 2020 00:00:00 +0100
Multistep Prediction of Land Cover From Dense Time Series Remote Sensing Images With Temporal Convolutional Networks.https://doi.org/10.1109/JSTARS.2020.3020839, , , :
Multistep Prediction of Land Cover From Dense Time Series Remote Sensing Images With Temporal Convolutional Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5149-5161 ()]]>
https://dblp.org/rec/journals/staeors/YanCCL20Wed, 01 Jan 2020 00:00:00 +0100
Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm.https://doi.org/10.3390/rs11050535, , , , , :
Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm. Remote. Sens. 11(5): 535 ()]]>
https://dblp.org/rec/journals/remotesensing/HeWCJLY19Tue, 01 Jan 2019 00:00:00 +0100
Using a Phase-Congruency-Based Detector for Glacial Lake Segmentation in High-Temporal Resolution Sentinel-1A/1B Data.https://doi.org/10.1109/JSTARS.2019.2900442, , , :
Using a Phase-Congruency-Based Detector for Glacial Lake Segmentation in High-Temporal Resolution Sentinel-1A/1B Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2771-2780 ()]]>
https://dblp.org/rec/journals/staeors/Zhang0TL19Tue, 01 Jan 2019 00:00:00 +0100
A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data.https://doi.org/10.1109/TGRS.2019.2923248, , , , , , :
A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data. IEEE Trans. Geosci. Remote. Sens. 57(11): 8840-8852 ()]]>
https://dblp.org/rec/journals/tgrs/LinCLYJZL19Tue, 01 Jan 2019 00:00:00 +0100
The Digital Belt and Road program in support of regional sustainability.https://doi.org/10.1080/17538947.2018.1471790, , , , , , , , , , , :
The Digital Belt and Road program in support of regional sustainability. Int. J. Digit. Earth 11(7): 657-669 ()]]>
https://dblp.org/rec/journals/digearth/GuoLQMCUZGLIZL18Mon, 01 Jan 2018 00:00:00 +0100
Big Earth Data: a new challenge and opportunity for Digital Earth's development.https://doi.org/10.1080/17538947.2016.1264490, , , , , :
Big Earth Data: a new challenge and opportunity for Digital Earth's development. Int. J. Digit. Earth 10(1): 1-12 ()]]>
https://dblp.org/rec/journals/digearth/GuoLJWLL17Sun, 01 Jan 2017 00:00:00 +0100