Annotation:
This annotated document explores the critical role of remote sensing methods in monitoring and assessing the scale of destruction during the war in Ukraine. The ongoing armed conflict in Ukraine has resulted in devastating impacts on infrastructure, residential areas, and natural resources. In this context, remote sensing techniques have emerged as a powerful tool to analyze and understand the extent of damage caused by the conflict.
The annotation discusses the various remote sensing technologies utilized in the study, such as satellite imagery, aerial photography, and unmanned aerial vehicles (UAVs). It highlights how these methods offer the ability to capture high-resolution imagery over vast areas, enabling a comprehensive overview of the affected regions. Additionally, the document covers the advantages of remote sensing, such as rapid data acquisition, cost-effectiveness, and the ability to access hard-to-reach areas, which are particularly crucial during times of conflict when ground access might be limited.
Furthermore, the annotation outlines the methodologies employed in the monitoring process, including image processing techniques, change detection algorithms, and geospatial analysis tools. These methodologies facilitate the comparison of pre- and post-war imagery to identify changes in land cover, infrastructure, and human settlements, thus quantifying the scale of destruction caused by the conflict.
The document also discusses the challenges and limitations associated with remote sensing assessments, such as cloud cover, data availability, and potential misinterpretation of imagery. Moreover, it touches upon ethical considerations related to privacy and sensitivity when analyzing war-torn areas.
The annotation concludes with a discussion of the significance of remote sensing in humanitarian efforts, including damage assessment for reconstruction planning, aid distribution, and support for affected communities. Additionally, it emphasizes the importance of integrating remote sensing data with ground-based surveys and other sources of information to validate and enhance the accuracy of the findings.
Overall, this annotated document serves as a valuable resource for researchers, policymakers, and humanitarian organizations interested in understanding how remote sensing methods can effectively monitor and assess the scale of destruction during armed conflicts, with a focus on the specific case of the war in Ukraine.
Bondar, O. I., Finin, G. S., & Shevchenko, R. Y. [2022] ENVIRONMENTAL CHALLENGES OF WARTIME: ENVIRONMENTAL IMPACT ASSESSMENT OF SPACE-BASED REMOTE SENSING AND GPS NAVIGATION SYSTEMS. DOI: https://doi.org/10.32846/2306-9716/2022.eco.4-43.7
Danielsen , F., Eicken, H., Funder, M., Johnson, N., Lee, O., Theilade, I., ... & Burgess, N. D. (2022). Community monitoring of natural resource systems and the environment. Annual Review of Environment and Resources, 47, 637-670. DOI:https://doi.org/10.1146/annurev-environ-012220-022325
Danko K., Butenko Yu. (2022) Assessment of flooded territories in the context of agricultural land management of the united territorial community. Land management, cadastre and land monitoring, 2, 4–20. (in Ukraine). DOI: http://dx.doi.org/10.31548/zemleustriy2022.02.10
Dorosh, O., Kupriianchyk, I., Butenko, Y., Danko, K., & Kharytonenko, R. (2022, October). Modeling and Assessment of Flooding Risks Based on a Digital Terrain Model. In International Conference of Young Professionals «GeoTerrace-2022» (Vol. 2022, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. DOI: https://doi.org/10.3997/2214-4609.2022590033
Gabor, P. S. C., David, E. I., Beilicci, L. D. E. E., Beilicci, L. D. E. R., & Gradinaru, P. S. C. (2015). Digital terrain model-basic element for the construction of a hydrodynamic river model using advanced hydroinformatic tools. In 15th International Multidisciplinary Scientific Geoconference SGEM 2015 (pp. 205-212). DOI:10.5593/SGEM2015/B31/S12.027
Grebnev, Y. V., & Moskalev, A. K. (2021, September). Modeling the risk of territories flooding by flood waters on the Kan River. In IOP Conference Series: Earth and Environmental Science (Vol. 839, No. 3, p. 032045). IOP Publishing. DOI 10.1088/1755-1315/839/3/032045
Litwin, U., Piech, I., & Rakowski, D. (2015). Digital terrain model as a basis for determining the floodland of the Prądnik River. Geomatics, Land management and Landscape, (2), 55-61. DOI: 10.15576/gll/2015.2.55
Plyuschikov, V.G., Avdotin, V.P., Arefieva, E.V., Gurina, R.R., & Bolgov, M.V. [2021]. Hydrological Risk Management of Urbanized Areas in the Framework of the Smart City Concept. In IOP Conference Series: Earth and Environmental Science (Vol. 691, No. 1, p. 012019). IOP Publishing. DOI: 10.1088/1755-1315/691/1/012019
Shvydenko, I., Raichuk, L. [2022]. Vyiavlennia ta vyznachennia metodamy dzz masshtabiv zatoplennia naselenykh punktiv kyivskoi oblasti vnaslidok vedennia boiovykh dii z vykorystanniam. Collection of scientific papers "SCIENTIA", (April 1, 2022; Kraków, Poland), 84-88.URL: https://previous.scientia.report/index.php/archive/article/view/22
Zakharchuk , M. V., [2022]. Practical realities of using HIS technology in the field of land use during military operations in Ukraine. URL: https://er.nau.edu.ua/handle/NAU/57005