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CORONA High-Resolution Satellite and Aerial Imagery for Change
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2103
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2103
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2106
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2112
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2112
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Tolomei, C.[Cristiano],
Bignami, C.[Christian],
Atzori, S.[Simone],
Pezzo, G.[Giuseppe],
Wu, L.X.[Li-Xin],
Yan, S.Y.[Shi-Yong],
Peres, E.[Emanuel],
Geohazards Monitoring and Assessment Using Multi-Source Earth
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2112
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Rui, X.[Xue],
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2112
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Rehman, A.[Adnanul],
Song, J.X.[Jin-Xi],
Haq, F.[Fazlul],
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Ahamad, M.I.[Muhammad Irfan],
Basharat, M.[Muhammad],
Sajid, M.[Muhammad],
Mehmood, M.S.[Muhammad Sajid],
Multi-Hazard Susceptibility Assessment Using the Analytical Hierarchy
Process and Frequency Ratio Techniques in the Northwest Himalayas,
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RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Zhang, T.Q.[Tian-Qi],
Yu, W.B.[Wen-Bing],
Lu, Y.[Yan],
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Identification and Correlation Analysis of Engineering Environmental
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RS(14), No. 4, 2022, pp. xx-yy.
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2202
BibRef
Ge, X.T.[Xing-Tong],
Yang, Y.[Yi],
Chen, J.H.[Jia-Hui],
Li, W.C.[Wei-Chao],
Huang, Z.S.[Zhi-Sheng],
Zhang, W.Y.[Wen-Yue],
Peng, L.[Ling],
Disaster Prediction Knowledge Graph Based on Multi-Source
Spatio-Temporal Information,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
See also Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph, An.
BibRef
Ge, X.T.[Xing-Tong],
Yang, Y.[Yi],
Peng, L.[Ling],
Chen, L.J.[Luan-Jie],
Li, W.C.[Wei-Chao],
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Chen, J.H.[Jia-Hui],
Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with
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2208
See also Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph, An.
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Pan, Q.Q.[Qing-Qing],
Lin, S.[Siyu],
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Ai, B.[Bo],
Zhong, Z.D.[Zhang-Dui],
Space-Air-Sea-Ground Integrated Monitoring Network-Based Maritime
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IEEE DOI
2203
Oils, Forecasting, Marine vehicles, Monitoring, Predictive models,
Trajectory, Wind forecasting, Sanchi accident
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Yan, J.Z.[Jian-Zhuo],
Chen, L.H.[Li-Hong],
Yu, Y.C.[Yong-Chuan],
Xu, H.X.[Hong-Xia],
Gao, Q.C.[Qing-Cai],
Cao, K.P.[Kun-Peng],
Chen, J.H.[Jian-Hui],
EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a
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IJGI(11), No. 6, 2022, pp. xx-yy.
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2206
BibRef
Wang, C.[Chao],
Wang, Z.Q.[Zi-Qiong],
Tian, Y.[Ye],
Zhang, X.Y.[Xing-Yi],
Xiao, J.H.[Jian-Hua],
A Dual-Population Based Evolutionary Algorithm for Multi-Objective
Location Problem Under Uncertainty of Facilities,
ITS(23), No. 7, July 2022, pp. 7692-7707.
IEEE DOI
2207
Reliability, Uncertainty, Statistics, Sociology, Optimization,
Evolutionary computation, Task analysis, evolutionary algorithm
BibRef
Chen, Z.[Zhe],
Chang, R.[Ruichun],
Guo, H.D.[Hua-Dong],
Pei, X.J.[Xiang-Jun],
Zhao, W.B.[Wen-Bo],
Yu, Z.[Zhengbo],
Zou, L.[Lu],
Prediction of Potential Geothermal Disaster Areas along the
Yunnan-Tibet Railway Project,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Tiam-Lee, T.J.[Thomas James],
Henriques, R.[Rui],
Manquinho, V.[Vasco],
Associative Analysis of Inefficiencies and Station Activity Levels in
Emergency Response,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Paliaga, G.[Guido],
Luino, F.[Fabio],
Turconi, L.[Laura],
Profeta, M.[Mario],
Vojinovic, Z.[Zoran],
Cucchiaro, S.[Sara],
Faccini, F.[Francesco],
Terraced Landscapes as NBSs for Geo-Hydrological Hazard Mitigation:
Towards a Methodology for Debris and Soil Volume Estimations through
a LiDAR Survey,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Vogel, A.[Anissa],
Seeger, K.[Katharina],
Brill, D.[Dominik],
Brückner, H.[Helmut],
Soe, K.K.[Khin Khin],
Oo, N.W.[Nay Win],
Aung, N.[Nilar],
Myint, Z.N.[Zin Nwe],
Kraas, F.[Frauke],
Identifying Land-Use Related Potential Disaster Risk Drivers in the
Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974-2021) Using
a Hybrid Ensemble Learning Model,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wang, S.[Sishi],
Tan, X.[Xin],
Fan, F.L.[Feng-Lei],
Landscape Ecological Risk Assessment and Impact Factor Analysis of
the Qinghai-Tibetan Plateau,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Rojas, S.S.[Sara S.],
Khan, S.D.[Shuhab D.],
Shahtakhtinskiy, A.[Aydin],
Impact of Hurricane Harvey on the Upper Texas Coast: Using Airborne
Lidar Data Sets with UAV-Derived Topographic Data to Monitor Change
and Track Recovery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Elliott, S.N.[Shiloh N.],
Shields, A.J.B.[Ashley J. B.],
Klaehn, E.M.[Elizabeth M.],
Tien, I.[Iris],
Identifying Critical Infrastructure in Imagery Data Using Explainable
Convolutional Neural Networks,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Sarikaya, M.S.[Mehmet Serif],
Yanalak, M.[Mustafa],
Karaman, H.[Himmet],
Site Selection of Natural Gas Emergency Response Team Centers in
Istanbul Metropolitan Area Based on GIS and FAHP,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Bi, H.[Huibo],
Shang, W.L.[Wen-Long],
Chen, Y.Y.[Yan-Yan],
Yu, K.P.[Ke-Ping],
Ochieng, W.Y.[Washington Y.],
An Incentive Based Road Traffic Control Mechanism for Covid-19
Pandemic Alike Emergency Preparedness and Response,
ITS(23), No. 12, December 2022, pp. 25092-25105.
IEEE DOI
2212
Transportation, COVID-19, Task analysis, Roads,
Biological system modeling, Pricing, Hazards,
long-term emergency
BibRef
Kaur, S.[Swapandeep],
Gupta, S.[Sheifali],
Singh, S.[Swati],
Arora, T.[Tanvi],
A Review on Natural Disaster Detection in Social Media and Satellite
Imagery Using Machine Learning and Deep Learning,
IJIG(22), No. 5 2022, pp. 2250040.
DOI Link
2212
BibRef
Kim, Y.[Yeseul],
Applicability Assessment of a Spatiotemporal Geostatistical Fusion
Model for Disaster Monitoring: Two Cases of Flood and Wildfire,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, X.C.[Xiao-Chen],
Xu, Q.[Qiang],
Pu, C.[Chuanhao],
Li, W.[Weile],
Zhao, K.[Kuanyao],
Li, Z.G.[Zhi-Gang],
Chen, W.L.[Wan-Lin],
Xiu, D.[Dehao],
Effects of the Gully Land Consolidation Project on Geohazards on a
Typical Watershed on the Loess Plateau of China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Janicka, J.[Joanna],
Rapinski, J.[Jacek],
Blaszczak-Bak, W.[Wioleta],
Orthogonal Msplit Estimation for Consequence Disaster Analysis,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Ma, J.[Jingru],
Wang, X.D.[Xiao-Dong],
Yuan, G.X.[Guang-Xiang],
Evaluation of Geological Hazard Susceptibility Based on the Regional
Division Information Value Method,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Weber, E.[Ethan],
Papadopoulos, D.P.[Dim P.],
Lapedriza, A.[Agata],
Ofli, F.[Ferda],
Imran, M.[Muhammad],
Torralba, A.[Antonio],
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters,
Damage, and Incidents,
PAMI(45), No. 4, April 2023, pp. 4768-4781.
IEEE DOI
2303
Dataset, Disasters. Social networking (online), Task analysis, Satellites,
Computational modeling, Data models, Visualization, Training,
incident detection
BibRef
Wang, Q.[Qian],
Li, W.F.[Wen-Feng],
Yu, Z.Q.[Zhe-Qi],
Abbasi, Q.[Qammer],
Imran, M.[Muhammad],
Ansari, S.[Shuja],
Sambo, Y.[Yusuf],
Wu, L.W.[Li-Wen],
Li, Q.[Qiang],
Zhu, T.[Tong],
An Overview of Emergency Communication Networks,
RS(15), No. 6, 2023, pp. 1595.
DOI Link
2304
BibRef
Hu, L.[Lei],
Zhang, C.X.[Chen-Xiao],
Zhang, M.[Mingda],
Shi, Y.M.[Yu-Ming],
Lu, J.[Jiasheng],
Fang, Z.[Zhe],
Enhancing FAIR Data Services in Agricultural Disaster: A Review,
RS(15), No. 8, 2023, pp. 2024.
DOI Link
2305
BibRef
Tamire, N.A.[Natnael Alemayehu],
Kim, H.D.[Hae-Dong],
Effective Video Scene Analysis for a Nanosatellite Based on an
Onboard Deep Learning Method,
RS(15), No. 8, 2023, pp. 2143.
DOI Link
2305
To use in disaster monitoring. Train for specific issue, load model
to satellite.
BibRef
Jeon, H.G.[Hae-Gon],
Im, S.H.[Sung-Hoon],
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
SAR Sensors for Disaster Management, Emergency Management .