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Titel: Sustainable Development Goal 2.4.1 for Ukraine Based on Geospatial Data
Autor(en): Yailimova, Hanna
Yailimov, Bohdan
Mazur, Yevhen
Kussul, Nataliia
Shelestov, Andrii
Körperschaft: Hochschule Anhalt
Erscheinungsdatum: 2023
Umfang: 1 Online-Ressource (8 Seiten)
Sprache: Englisch
Zusammenfassung: In this work, the indicator of sustainable development goal (SDG) 2.4.1 for Ukraine is calculated based on geospatial and satellite data. The generally accepted technology for calculating the given indicator cannot be applied for the territory of Ukraine due to the lack of systematic collection of the necessary indicators. Therefore, the authors have developed the complex method for land degradation estimation that uses different schemes for separate land cover and crop types at the country level based on satellite and modeling data using WOFOST model. The paper describes the sources of information used to create crop type classification maps and the data required for leaf area index (LAI) modeling for the WOFOST model. Calculated indicators from 2018 to 2022 for each of the regions of Ukraine. In 2022, the decrease of the indicator is monitored in almost all regions of Ukraine, which is a direct result of military actions on the territory of Ukraine.
URI: https://opendata.uni-halle.de//handle/1981185920/103866
http://dx.doi.org/10.25673/101915
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International(CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International
Enthalten in den Sammlungen:International Conference on Applied Innovations in IT (ICAIIT)

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