Visn. Nac. Akad. Nauk Ukr. 2020. (2): 57-63

N.M. Kussul
Space Research Institute of the National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kyiv


Ukraine is on the verge of opening the land market. This process will begin in 2020, when free sale of land will be introduced. Currently, only the lease of the land is officially allowed. To ensure transparency, equity and reliability of this process, objective information on real land use and its history, crop development state in each vegetation season is required. All these indicators significantly affect the market value of the land. However, there is no publicly available system in Ukraine with information on real land use and landowners. This information is only contained in the state cadaster system, which contains a lot of incorrect information, since land ownership acts were generated chiefly manually. These mistakes became obvious after the process of digitizing the state cadaster. Therefore, creation of the legal, technical and legislative prerequisites for opening the land market becomes an extremely important task, as well as the development of geospatial information system of real land use in Ukraine. The World Bank program “Supporting Transparent Land Governance in Ukraine” with financial support from the EU is aimed at addressing these issues.
Keywords: transparent land use, World Bank, satellite monitoring, big data, data analysis.

Language of article: ukrainian

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  1. Shelestov A., Lavreniuk M., Vasiliev V., Shumilo L., Kolotii A., Yailymov B., Kussul N., Yailymova H. Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. IEEE Transactions on Big Data (Early Access). 2019. DOI:
  2. Kussul N., Shelestov A., Lavreniuk M., Kolotii A., Vasiliev V. Crop Mapping Based on Sentinel-1 and Sentinel-2 Data Within World Bank Project. In: Earth Observation Phi-Week (September 9–13, 2019, Rome, Italy).
  3. Kussul N., Lavreniuk M., Shelestov A., Skakun S. Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery. European Journal of Remote Sensing. 2018. 51(1): 627-636. DOI:
  4. Kussul N., Shelestov A., Lavreniuk M., Kolotii A., Vasiliev V. Transparent Land Governance in Ukraine within World Bank Program. In: IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON) (July 2-6, 2019, Lviv, Ukraine). P. 1077-1080. DOI:
  5. Kussul N., Shelestov A., Lavreniuk M., Kolotii A., Vasiliev V. Land Cover and Land Use Monitoring Based on Satellite Data within World Bank Project. In: 10th International Conference on Dependable Systems, Services and Technologies (DESSERT) (June 5-7, 2019, Leeds, United Kingdom). P. 127-130. DOI:
  6. Kussul N., Nizalov D., Shelestov A., Lavreniuk M., Skakun S., Kolotii A., Vasiliev V., Karlov E. Satellite crop monitoring within World Bank project on land management transparency. In: 2019 World Bank conference on land and poverty (March 25-29, 2019, Washington, USA).
  7. Shelestov A., Lavreniuk M., Kussul N., Novikov A., Skakun S. Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping. Frontiers in Earth Science. 2017. 5:17. DOI:
  8. Waldner F., Bellemans N., Hochman Z., Newby T., Abelleyra D., Verón S., Bartalev S., Lavreniuk M., Kussul N., Maire G., Simoes M., Skakun S., Defourny P. Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. International Journal of Applied Earth Observation and Geoinformation. 2019. 80: 82–93. DOI: