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[1]
B. Sirmacek et al., "The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies," i The Ethics of Artificial Intelligence for the Sustainable Development Goals, Francesca Mazzi, Luciano Floridi red., : Springer Nature, 2023, s. 65-96.
[2]
M. Kakooei et al., "Remote sensing technology for postdisaster building damage assessment," i Computers in Earth and Environmental Sciences : Artificial Intelligence and Advanced Technologies in Hazards and Risk Management, : Elsevier BV, 2021, s. 509-521.
[3]
D. Furberg och Y. Ban, "Satellite Monitoring of Urbanization and Environmental Impacts in Stockholm, Sweden, Through a Multiscale Approach," i Urban Remote Sensing : Monitoring, Synthesis, and Modeling in the Urban Environment, Second Edition, : Wiley, 2021, s. 217-244.
[4]
O. A. Yousif och Y. Ban, "Object-based change detection in urban areas using multitemporal high resolution SAR images with unsupervised thresholding algorithms," i Remote Sensing and Digital Image Processing, : Springer, 2016, s. 89-105.
[5]
A. C. Prelipcean, F. Schmid och T. Shirabe, "A Space Time Alarm," i Progress in Location-Based Services 2014, Georg Gartner,Haosheng Huang red., : Springer, 2015, s. 187-198.
[6]
Q. Weng et al., "Chapter 4. Urban Observing Sensors," i Global Urban Monitoring and Assessment through Earth Observation, Qihao Weng red., : CRC Press, 2014, s. 49-80.
[7]
Y. Ban, O. Yousif och H. Hu, "Fusion of SAR and Optical Data for Urban Land Cover Mapping and Change Detection," i Global Urban Monitoring and Assessment through Earth Observation, Qihao Weng red., : CRC Press, 2014.
[8]
D. Furberg och Y. Ban, "Satellite Monitoring of Urban Land Cover Change in Stockholm Between 1986 and 2006 and Indicator-Based Environmental Assessment," i Earth Observation of Global Changes (EOGC), : Springer Berlin/Heidelberg, 2013, s. 205-222.
[9]
Y. Rui och Y. Ban, "Urban Growth modeling with road network expansion and land use development," i Advances in Cartography and GIScience : Selection from ICC 2011, 2. uppl. : Springer Berlin/Heidelberg, 2011, s. 399-412.
[10]
B. Jiang och X. Yao, "Geospatial Analysis and Modeling of Urban Structure and Dynamics: An Overview," i Geospatial Analysis and Modelling of Urban Structure and Dynamics, : Springer Nature, 2010, s. 3-11.
[11]
I. Omer och B. Jiang, "Imageability and Topological Eccentricity of Urban Streets," i Geospatial Analysis and Modelling of Urban Structure and Dynamics, : Springer Nature, 2010, s. 163-175.
[12]
G. Gidofalvi, X. Huang och T. B. Pedersen, "Probabilistic Grid-Based Approaches for Privacy-Preserving Data Mining on Moving Object Trajectories," i Privacy-Aware Knowledge Discovery : Novel Applications and New Techniques, Francesco Bonchi and Elena Ferrari red., 1. uppl. : CRC Press, 2010, s. 183-210.
[13]
T. T. Vu och M. Matsuoka, "Towards a quick damage detection system based on grid-computing," i Geographic Information and Cartography for Risk and Crisis Management : Towards Better Solutions, KONECNY M., ZLATANOVA S. and BANDROVA T.L red., : Springer Berlin/Heidelberg, 2010, s. 155-170.
[14]
M. Eshagh och L. E. Sjöberg, Satellite Gravity Gradiometry : An approch to high resolution gravity field modelling from space. VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, 2009.
[15]
U. Demšar, J. Krisp och O. Křemenová, "Exploring geographical data with spatio-visual data mining," i Spatial Data Handling - Status Quo and Progress : Proceedings of the 12th International Symposium on Spatial Data Handling, Andreas Riedl, Wolfgang Kainz, Gregory Elmes red., : Springer Verlag, 2006, s. 149-166.
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