Information Systems in Disaster Management: A Narrative Review

Authors

  • Indah Sataria Universitas Salakanagara
  • Risma Petrus STMIK Manokwari
  • Melissa Goh Universiti Malaya

DOI:

https://doi.org/10.56861/jsiska.v1i1.22

Keywords:

Disaster Management, Information Systems, GIS, Early Warning Systems, Crisis Communication, Disaster Preparedness, Technological Innovation, Resilience, Emergency Response, Cloud Computing

Abstract

This narrative review explores the critical role of information systems (IS) in enhancing disaster management practices, particularly within the context of preparedness, response, recovery, and mitigation. The study synthesizes findings from scholarly literature to examine how integrated IS platforms—such as early warning systems, geographic information systems (GIS), and communication networks—facilitate real-time decision-making and coordination among stakeholders. Furthermore, it highlights the evolving adoption of cloud computing, mobile applications, and artificial intelligence in predicting disaster risks and managing resource deployment. The review reveals that effective implementation of IS not only improves situational awareness and operational efficiency during crises but also supports community resilience and post-disaster recovery. Challenges such as data interoperability, infrastructure limitations, and cybersecurity risks are also discussed. The study concludes by recommending a multidisciplinary approach to developing adaptive, scalable, and inclusive IS frameworks tailored to disaster-prone regions

References

6. Coordination and control. (2014). Scandinavian Journal of Public Health, 42, 56. https://doi.org/10.1177/1403494813515102

Abdalla, R. (2016). Evaluation of spatial analysis application for urban emergency management [Review of Evaluation of spatial analysis application for urban emergency management]. SpringerPlus, 5(1). Springer International Publishing. https://doi.org/10.1186/s40064-016-3723-y

Abdalla, R. (2018). Urbanization and Crisis Management Using Geomatics Technologies. In InTech eBooks. https://doi.org/10.5772/intechopen.76415

Acıkara, T., Xia, B., Yiğitcanlar, T., & Hon, C. K. H. (2023). Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature [Review of Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature]. Sustainability, 15(11), 8860. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/su15118860

Ahmad, S. (2017). Integrated Information System for Disaster Management: A Creative Case Study. International Journal of Sustainability Management and Information Technologies, 3(5), 46. https://doi.org/10.11648/j.ijsmit.20170305.11

Ahuja, S., Michael, M., Selvan, M., & Mantri, V. (2022). Natural disaster detection in social media and satellite imagery. ITM Web of Conferences, 44, 3010. https://doi.org/10.1051/itmconf/20224403010

Ajmar, A., Boccardo, P., Disabato, F., & Tonolo, F. G. (2015). Rapid Mapping: geomatics role and research opportunities. Rendiconti Lincei. Scienze Fisiche e Naturali, 26, 63. https://doi.org/10.1007/s12210-015-0410-9

Alruqi, A. S., & Aksoy, M. S. (2023). The Use of Artificial Intelligence for Disasters. Open Journal of Applied Sciences, 13(5), 731. https://doi.org/10.4236/ojapps.2023.135058

Ardiansyah, M., Mirandah, E., Suyatno, A., Saputra, F., & Muazzinah, M. (2024). Disaster Management and Emergency Response: Improving Coordination and Preparedness. Global International Journal of Innovative Research, 2(4), 831. https://doi.org/10.59613/global.v2i4.129

Armenakis, C., Du, E., Natesan, S., Persad, R. A., & Zhang, Y. (2017). Flood Risk Assessment in Urban Areas Based on Spatial Analytics and Social Factors. Geosciences, 7(4), 123. https://doi.org/10.3390/geosciences7040123

Baharin, S. S. K., Shibghatullah, A. S., & Othman, Z. (2009). Disaster Management in Malaysia: An Application Framework of Integrated Routing Application for Emergency Response Management System. 716. https://doi.org/10.1109/socpar.2009.144

Bajwa, A. (2025). AI-based Emergency Response Systems: A Systematic Literature Review on Smart Infrastructure Safety. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5171521

Barz, B., Schröter, K., Münch, M., Yang, B., Unger, A., Dransch, D., & Denzler, J. (2019). Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1908.03361

Basher, R. E. (2006). Global early warning systems for natural hazards: systematic and people-centred. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 364(1845), 2167. https://doi.org/10.1098/rsta.2006.1819

Bhanumurthy, V., Shankar, G., Rao, K. R. M., & Nagamani, P. (2015). Defining a framework for integration of Geospatial technologies for Emergency Management. Geocarto International, 1. https://doi.org/10.1080/10106049.2015.1004132

Brumarová, L., Kukuliač, P., & Brumar, J. (2021). Use of geographic information systems in crisis management. IOP Conference Series Earth and Environmental Science, 900(1), 12004. https://doi.org/10.1088/1755-1315/900/1/012004

Cao, Y., Xu, C., Aziz, N. M., & Kamaruzzaman, S. N. (2023). BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions. Remote Sensing, 15(5), 1331. https://doi.org/10.3390/rs15051331

Chalkias, C., Stathopoulos, N., Kalogeropoulos, K., & Karymbalis, E. (2016). Applied Hydrological Modeling with the Use of Geoinformatics: Theory and Practice. In InTech eBooks. https://doi.org/10.5772/62824

Conflict early warning and early response. (2018). [Data set]. In Human Rights Documents online. https://doi.org/10.1163/2210-7975_hrd-0148-2015095

Demirtas, Ü., Türk, Y. Z., & Özer, M. (2014, September 16). The Role Of Intelligence, Surveillance, And Reconnaissance In Disaster And Public Health Emergency. In Prehospital and Disaster Medicine (Vol. 29, Issue 5, p. 549). Cambridge University Press. https://doi.org/10.1017/s1049023x14001009

Dorasamy, M., Raman, M., & Kaliannan, M. (2013). Knowledge management systems in support of disasters management: A two decade review. Technological Forecasting and Social Change, 80(9), 1834. https://doi.org/10.1016/j.techfore.2012.12.008

Earth, D. on. (2007). Successful Response Starts with a Map: Improving Geospatial Support for Disaster Management. https://openlibrary.org/books/OL10359259M/Successful_Response_Starts_with_a_Map

El-Hamied, S. S. A., Saleh, A., & Asem, A. (2012). Survey on Using GIS in Evacuation Planning. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1208.6037

Fletcher, S., & Caprarelli, G. (2016). Application of GIS technology in public health: successes and challenges [Review of Application of GIS technology in public health: successes and challenges]. Parasitology, 143(4), 401. Cambridge University Press. https://doi.org/10.1017/s0031182015001869

Fohringer, J., Dransch, D., Kreibich, H., & Schröter, K. (2015). Social media as an information source for rapid flood inundation mapping. Natural Hazards and Earth System Sciences, 15(12), 2725. https://doi.org/10.5194/nhess-15-2725-2015

Glago, F. J., Yao, K. G., & Sedegah, R. E. A. (2019). Role of Early Warning Systems in Flood Disaster Preparedness: Insights from Asamankese in the West Akim Municipality of Ghana. International Journal of Innovative Research and Development, 8(12). https://doi.org/10.24940/ijird/2019/v8/i12/dec19064

Groeve, T. D. (2020). Knowledge-Based Crisis and Emergency Management. In Elsevier eBooks (p. 182). Elsevier BV. https://doi.org/10.1016/b978-0-12-822596-7.00016-4

Gupta, T., & Roy, S. (2024). Applications of Artificial Intelligence in Disaster Management. 126, 313. https://doi.org/10.1145/3669754.3669802

Hasfi, N., Fisher, M. R., & Sahide, M. A. K. (2021). Overlooking the victims: Civic engagement on Twitter during Indonesia’s 2019 fire and haze disaster. International Journal of Disaster Risk Reduction, 60, 102271. https://doi.org/10.1016/j.ijdrr.2021.102271

Havas, C., Resch, B., Francalanci, C., Pernici, B., Scalia, G., Fernandez-Marquez, J. L., Achte, T. V., Zeug, G., Mondardini, M. R., Grandoni, D., Kirsch, B., Kalaš, M., Lorini, V., & Rüping, S. (2017). E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors, 17(12), 2766. https://doi.org/10.3390/s17122766

Imran, M. A., Castillo, C., Díaz, F., & Vieweg, S. (2014). Processing Social Media Messages in Mass Emergency: A Survey. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1407.7071

Jourabchi, S. S., Vaziri, M., & Abbasi-Kasani, H. (2019). New Technologies of Crisis Management in Red Crescent Society of the Islamic Republic of Iran. Journal of Rescue and Relief, 11(2), 111. https://doi.org/10.52547/jorar.11.2.111

Jung, D., Tuan, V. T., Tran, D. Q., Park, M., & Park, S. (2020). Conceptual Framework of an Intelligent Decision Support System for Smart City Disaster Management. Applied Sciences, 10(2), 666. https://doi.org/10.3390/app10020666

Kabir, Md. Y., & Madria, S. (2019). A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management. https://doi.org/10.1145/3347146.3359097

Kahn, C. A. (2014). How GIS and GPS technology aided a utility with Hurricane Sandy planning and recovery. American Water Works Association, 106(7), 61. https://doi.org/10.5942/jawwa.2014.106.0099

Kaiser, R., Spiegel, P., Henderson, A., & Gerber, M. (2003). The Application of Geographic Information Systems and Global Positioning Systems in Humanitarian Emergencies: Lessons Learned, Programme Implications and Future Research [Review of The Application of Geographic Information Systems and Global Positioning Systems in Humanitarian Emergencies: Lessons Learned, Programme Implications and Future Research]. Disasters, 27(2), 127. Wiley. https://doi.org/10.1111/1467-7717.00224

Kangana, N., Kankanamge, N., Silva, C. D., Goonetilleke, A., Mahamood, R., & Ranasinghe, D. (2024). Bridging Community Engagement and Technological Innovation for Creating Smart and Resilient Cities: A Systematic Literature Review. Smart Cities, 7(6), 3823. https://doi.org/10.3390/smartcities7060147

Karimiziarani, M. (2023). Social Media Analytics in Disaster Response: A Comprehensive Review [Review of Social Media Analytics in Disaster Response: A Comprehensive Review]. arXiv (Cornell University). Cornell University. https://doi.org/10.48550/arxiv.2307.04046

Kelman, I., & Glantz, M. H. (2014). Early Warning Systems Defined. In Springer eBooks (p. 89). Springer Nature. https://doi.org/10.1007/978-94-017-8598-3_5

Khan, A., Gupta, S., & Gupta, S. K. (2020). Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. International Journal of Disaster Risk Reduction, 47, 101642. https://doi.org/10.1016/j.ijdrr.2020.101642

Khan, S. M., Shafi, I., Butt, W. H., Díez, I. de la T., Flores, M. Á. L., Galán, J. C., & Ashraf, I. (2023). A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions [Review of A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions]. Land, 12(8), 1514. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/land12081514

Kondraganti, A. (2021). Big Data Analytics in Humanitarian and Disaster Operations: A Systematic Review [Review of Big Data Analytics in Humanitarian and Disaster Operations: A Systematic Review]. arXiv (Cornell University). Cornell University. https://doi.org/10.48550/arxiv.2108.09800

Kunguma, O. (2022). A South African disaster legislative perspective of information management and communication systems. South African Journal of Information Management, 24(1). https://doi.org/10.4102/sajim.v24i1.1540

Li, Z., Chen, Y., & Suo, L. (2015). Impacts of Social Network on Therapeutic Community Participation: A Follow-up Survey of Data Gathered after Ya’an Earthquake. PubMed, 44(1), 68. https://pubmed.ncbi.nlm.nih.gov/26060778

Liang, Y., & Ramírez-Márquez, J. E. (2024). Harnessing text information for enhanced hurricane resilience and public engagement: Unveiling disaster perspectives through social media. International Journal of Disaster Risk Reduction, 104849. https://doi.org/10.1016/j.ijdrr.2024.104849

Liu, Y., Song, W., Sun, J., Qu, T., & Dan, T. (2021). Application of mapping geographic information in emergency mapping. Journal of Physics Conference Series, 1971(1), 12059. https://doi.org/10.1088/1742-6596/1971/1/012059

Lu, B., Zhang, X., & Wen, J. (2020). Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review [Review of Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review]. Iranian Journal of Public Health. Knowledge E. https://doi.org/10.18502/ijph.v49i10.4678

Ma, K., Yan, H., Ye, Y., Zhou, D., & Ma, D. (2022). Critical Decision-Making Issues in Disaster Relief Supply Management: A Review [Review of Critical Decision-Making Issues in Disaster Relief Supply Management: A Review]. Computational Intelligence and Neuroscience, 2022, 1. Hindawi Publishing Corporation. https://doi.org/10.1155/2022/1105839

Maldeniya, D., Choudhury, M. D., Núñez, D. G., & Romero, D. M. (2023). Pulling through together: social media response trajectories in disaster-stricken communities. Journal of Computational Social Science, 6(2), 655. https://doi.org/10.1007/s42001-023-00209-8

Malla, S. B., Dahal, R. K., & Hasegawa, S. (2020). Local level Disaster Response in Nepal: Investigating the Government Agencies. Bulletin of the Department of Geology, 22, 17. https://doi.org/10.3126/bdg.v22i0.33410

McDonald, S. M., & Sinha, R. (2008). Information communication technology: reform of organisational crisis management during natural disasters. International Journal of Management Practice, 3(2), 131. https://doi.org/10.1504/ijmp.2008.018367

Mehta, A., Bruns, A., & Newton, J. (2016). Trust, but verify: social media models for disaster management. Disasters, 41(3), 549. https://doi.org/10.1111/disa.12218

Meliskova, J. (2000). Integration of geography and statistics. Statistical Journal of the United Nations Economic Commission for Europe, 17(2), 189. https://doi.org/10.3233/sju-2000-17209

Moore, J. E., Jitprasithsiri, S., & Lee, H. (1995). GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY AND ITS APPLICATIONS IN CIVIL ENGINEERING. Civil Engineering Systems, 12(1), 21. https://doi.org/10.1080/02630259508970156

Moore, M., Trujillo, H. R., Lawson, B. S., Basurto‐Dávila, R., & Evans, D. K. (2009). Learning from Exemplary Practices in International Disaster Management. https://www.rand.org/pubs/external_publications/EP20090518.html

Mow, I. C., Soon, A. W., Mauai, E., & Anesone, A. (2021). Patterns of ICT usage in disaster in Samoa. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2108.09940

Nguyen, D. T., Mannai, K. A. A., Joty, S., Sajjad, H., Imran, M., & Mitra, P. (2016). Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1608.03902

Ning, H., Pi, Z., Wang, W., Farha, F., & Yang, S. (2022). A Review on Serious Games for Disaster Relief [Review of A Review on Serious Games for Disaster Relief]. arXiv (Cornell University). Cornell University. https://doi.org/10.48550/arxiv.2201.06916

Njoku, O. C., Amajuoyi, B. C., Sarwar, D., Arthur, J. K., & Hosseinian‐Far, A. (2020). Impact of an Integrated Approach in Disaster Management. International Journal of Organizational and Collective Intelligence, 10(2), 20. https://doi.org/10.4018/ijoci.2020040102

Nugraha, A. L. (2018). PEMETAAN ANCAMAN BANJIR KOTA SEMARANG MENGGUNAKAN FUZZY LOGIC DAN SIG. Teknik, 39(1), 16. https://doi.org/10.14710/teknik.v39i1.16524

Nur, W. H., Kumoro, Y., & Susilowati, Y. (2018). GIS and Geodatabase Disaster Risk for Spatial Planning. IOP Conference Series Earth and Environmental Science, 118, 12046. https://doi.org/10.1088/1755-1315/118/1/012046

Ogie, R., James, S., Moore, A., Dilworth, T.-L., Amirghasemi, M., & Whittaker, J. E. (2022). Social media use in disaster recovery: A systematic literature review. International Journal of Disaster Risk Reduction, 70, 102783. https://doi.org/10.1016/j.ijdrr.2022.102783

Ortiz, B., Kahn, L. H., Bosch, M., Bogden, P., Pavon-Harr, V., Savas, O., & McCulloh, I. (2020). Improving Community Resiliency and Emergency Response With Artificial Intelligence. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2005.14212

Ostanin, O., Dyakova, G., & Lebedeva, A. S. (2021). The Application of GIS Technologies and Remote Sensing Data to Determine the Morphometric Features of the River Basin: The Case of the Upper Part of the Charysh River. IOP Conference Series Earth and Environmental Science, 670(1), 12061. https://doi.org/10.1088/1755-1315/670/1/012061

Ou, T., Yang, T.-H., & Chang, P. (2025). Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study. Water, 17(7), 1055. https://doi.org/10.3390/w17071055

Park, J., Cullen, R. H., & Smith‐Jackson, T. L. (2014). Designing a Decision Support System for Disaster Management and Recovery. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58(1), 1993. https://doi.org/10.1177/1541931214581416

Pastor-Escuredo, D., Torres, Y., Torres, M. del R. M., & Zufiria, P. J. (2020). Rapid Multi-Dimensional Impact Assessment of Floods. Sustainability, 12(10), 4246. https://doi.org/10.3390/su12104246

Perera, D., Seidou, O., Agnihotri, J., Mehmood, H., & Rasmy, M. (2020). Challenges and Technical Advances in Flood Early Warning Systems (FEWSs). In IntechOpen eBooks. IntechOpen. https://doi.org/10.5772/intechopen.93069

Player, R. S. V. (2004). Geotechnical use of GIS in Transportation Projects. https://doi.org/10.1061/40744(154)76

Ragini, J. R., Anand, P. M. R., & Bhaskar, V. (2018). Big data analytics for disaster response and recovery through sentiment analysis. International Journal of Information Management, 42, 13. https://doi.org/10.1016/j.ijinfomgt.2018.05.004

Reddy, G. P. O. (2018). Geospatial Technologies in Land Resources Mapping, Monitoring, and Management: An Overview. In Geotechnologies and the environment (p. 1). Springer International Publishing. https://doi.org/10.1007/978-3-319-78711-4_1

Roccati, A., Paliaga, G., Luino, F., Faccini, F., & Turconi, L. (2021). GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment. Land, 10(2), 162. https://doi.org/10.3390/land10020162

Romo‐Murphy, E., James, R., & Adams, M. (2011). Facilitating disaster preparedness through local radio broadcasting. Disasters, 35(4), 801. https://doi.org/10.1111/j.1467-7717.2011.01234.x

Said, N., Ahmad, K., Riegler, M. A., Pogorelov, K., Hassan, L., Ahmad, N., & Conci, N. (2019). Natural disasters detection in social media and satellite imagery: a survey. Multimedia Tools and Applications, 78(22), 31267. https://doi.org/10.1007/s11042-019-07942-1

Schempp, T., Hong, M., Zhang, H., Akerkar, R., & Schmidt, A. R. (2018). An Integrated Crowdsourced Framework for Disaster Relief Distribution. 1. https://doi.org/10.1109/ict-dm.2018.8636372

Sinha, A., Kumar, P., Rana, N. P., Islam, R., & Dwivedi, Y. K. (2017). Impact of internet of things (IoT) in disaster management: a task-technology fit perspective. Annals of Operations Research, 283, 759. https://doi.org/10.1007/s10479-017-2658-1

Soni, V. D. (2020). Disaster Recovery Planning: Untapped Success Factor in an Organization. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3628630

Thomas, D. S. K., Ertuğay, K., & Kemeç, S. (2007). The Role of Geographic Information Systems/Remote Sensing in Disaster Management. In Handbooks of sociology and social research (p. 83). Springer Nature (Netherlands). https://doi.org/10.1007/978-0-387-32353-4_5

Upadhyay, R. K., Pandey, S., & Tripathi, G. (2020). Role of Geo‐Informatics in Natural Resource Management During Disasters: A Case Study of Gujarat Floods, 2017 (p. 253). https://doi.org/10.1002/9781119687160.ch17

Wang, K., Lam, N., & Mihunov, V. (2023). Correlating Twitter Use with Disaster Resilience at Two Spatial Scales: A Case Study of Hurricane Sandy. Annals of GIS, 29(1), 1. https://doi.org/10.1080/19475683.2023.2165545

Wang, X., & Xie, H. (2018). A Review on Applications of Remote Sensing and Geographic Information Systems (GIS) in Water Resources and Flood Risk Management [Review of A Review on Applications of Remote Sensing and Geographic Information Systems (GIS) in Water Resources and Flood Risk Management]. Water, 10(5), 608. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/w10050608

Wiederhold, B. K. (2013). In a Disaster, Social Media Has the Power to Save Lives. In Cyberpsychology Behavior and Social Networking (Vol. 16, Issue 11, p. 781). Mary Ann Liebert, Inc. https://doi.org/10.1089/cyber.2013.1532

Wyngaarden, R. van, & VanderWal, M. (2006). Managing GIS and Spatial Data to Support Effective Decision Making Throughout the Pipeline Lifecycle. Volume 1: Project Management; Design and Construction; Environmental Issues; GIS/Database Development; Innovative Projects and Emerging Issues; Operations and Maintenance; Pipelining in Northern Environments; Standards and Regulations, 503. https://doi.org/10.1115/ipc2006-10472

Yang, Y., Zhang, C., Fan, C., Mostafavi, A., & Hu, X. (2020). Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective. IEEE Access, 8, 201040. https://doi.org/10.1109/access.2020.3035714

Ye, X., Wang, S., Lu, Z., Song, Y., & Yu, S. (2021). Towards an AI-driven framework for multi-scale urban flood resilience planning and design. Computational Urban Science, 1(1). https://doi.org/10.1007/s43762-021-00011-0

Yordanov, V., Biagi, L., Truong, X. Q., Anh, T. V., & Brovelli, M. A. (2021). AN OVERVIEW OF GEOINFORMATICS STATE-OF-THE-ART TECHNIQUES FOR LANDSLIDE MONITORING AND MAPPING. The international Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences/International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 205. https://doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-205-2021

Yuan, C., Ding, S., Wang, Y., Feng, J., & Ma, N. (2023). Emergency Resource Layout with Multiple Objectives under Complex Disaster Scenarios. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2304.07216

Zhang, Y. (2019). Application and analysis of geographic information in geological disaster response. IOP Conference Series Earth and Environmental Science, 233, 42051. https://doi.org/10.1088/1755-1315/233/4/042051

Zheng, Q. (2020). GEOSPATIAL INFORMATION BASED EMERGENCY RESPONSE SYSTEM FOR GEOLOGICAL DISASTERS. The international Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences/International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1293. https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1293-2020

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2026-01-17

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2026-01-17

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2026-01-10