GIS hardware and software can assist in assessing the condition and value of land based on various factors such as accessibility to infrastructure, soil fertility, etc. Currently, it is man-made and environmental disasters that have the greatest impact on the condition of the soil and the availability of infrastructure. In the paper, the authors investigate the methods of recording disasters using GIS technologies and the impact of disasters on the land resources evaluation. A sequence of steps has been developed, with the help of which various GIS programs (QGIS, ArcGIS Pro - Esri, Digitals, online GIS services) can be used to establish the impact of disasters on the condition of land resources. GIS functions (Databases, Data analysis, Machine learning, Modelling) allow to study how disasters affect investments and development. Demand and supply on the land market and its valuation depend on them.
The possibility of using and integrating different types of input data was investigated, a combination of channels of multispectral satellite images and radiological data on the topography of the area. It is indicated which characteristics of the resources condition are more affected, for example fixation of the dam destruction, shallowing of the reservoir and fires. Man-made and environmental disasters, as well as the distance to the combat zone, are currently one of the main factors that affect the ecological condition and economic evaluation of land resources. GIS functions allow to record changes caused by disasters, to study trends, recovery options, use of objects and territories that have been affected. Indicators obtained with the help of GIS technologies are further used for ecological and economic assessment of land resources
Afanasyev, S. A. (2023). Impact of war on hydroecosystems of Ukraine: Conclusion of the first year of the Full-Scale Invasion of Russia (A review). Hydrobiological Journal, 59(4), 3–16. https://doi.org/10.1615/hydrobj.v59.i4.10 [in English]
Baylis, P., & Boomhower, J. (2019). Moral hazard, wildfires, and the economic incidence of natural disasters. https://doi.org/10.3386/w26550 [in English]
De Luca, G., Silva, J. M. N., Cerasoli, S., De Araújo, J. V. A., Campos, J., Di Fazio, S., & Modica, G. (2019). Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox. Remote Sensing, 11(10), 1238. https://doi.org/10.3390/rs11101238 [in English]
Da Silva, V. S., Salami, G., Da Silva, M. I. O., Silva, E. A., Monteiro, J. J., & Alba, E. (2019). Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology, and Landscapes, 4(2), 159–169. https://doi.org/10.1080/24749508.2019.1608409 [in English]
Koshkalda, I., Bezuhla, L., Trehub, O., Bliumska-Danko, K., & Bondarenko, L. (2022). Estimation of Transport and Functional Convenience of Assessment Areas During the Regulatory Monetary Valuation of Land Plots In Cities. Review of Economics and Finance, 20, 623–632. https://doi.org/10.55365/1923.x2022.20.72 [in English]
Maskrey, A., Jain, G., & Lavell, A. (2023). The social construction of systemic risk: towards an actionable framework for risk governance. Disaster Prevention and Management, 32(1), 4–26. https://doi.org/10.1108/dpm-07-2022-0155 [in English]
Pilicheva, M., Anopriienko, T., & Masliy, L. (2019). Analysis of the market of sale of land parcel rights on competitive basis in Kharkiv region. Municipal Economy of Cities, 3(149), 126–132. https://khg.kname.edu.ua/index.php/khg/article/download/5426/5349 [in Ukrainian]
Razavi-Termeh, S. V., Sadeghi-Niaraki, A., & Choi, S. (2020). Ubiquitous GIS-Based forest fire susceptibility mapping using artificial intelligence methods. Remote Sensing, 12(10), 1689. https://doi.org/10.3390/rs12101689 [in English]
Trofymenko, P., Tretyak, T., Bezgodkova, Y., Trofimenko, N., & Zatserkovnyi, V. (2021). Development and use of gis database for tasks of normative monetary evaluation of land of settlements. Zemleustrìj, Kadastr Ì Monìtorìng Zemelʹ, 4, 6. https://doi.org/10.31548/zemleustriy2021.04.06 [in English]