The first prize on the “REESTR-Hack” hackathon

From October 20 to 21, 2018 the Moscow State University of Geodesy and Cartography (MIIGAiK) hosted the “REESTR-Hack” hackathon—a team competition aimed at finding new ideas in the field of geoinformation systems, cartography and cadastre dedicated to the 10th anniversary of Rosreestr (The Federal Service for State Registration, Cadastre and Cartography). Within two days, teams competed in solving cases and relevant problems on geoinformatics, cadastral data, Earth remote sensing data, geoanalytics and 3D modeling.

The first place in one of three nominations of the competition was taken by the Geospatial Team. We set about solving the case of determining the actual state and use of agricultural land with satellite imagery of the Earth. To do this, we created and tested an algorithm for detecting land use for agricultural fields. It is based on the analysis of vegetative state of fields using multitemporal and multispectral satellite data (2015-2017). The result of our work is an interactive geoportal on the territory of the Lukhovitsky District of the Moscow Region, published on the Internet. All those who are interested can look at it through this link and see the abandoned agricultural land that has been identified thanks to our algorithm.

For Russia, there is an acute problem of the rational use of land resources. With regard to agricultural land, the problem is doubly increasing due to the strategic nature of land as a means of agricultural production. Unfortunately, at present the structure of agricultural land use in Russia is far from optimal. According to the data of the All-Russian Agricultural Census of 2016, the total area of ​​unused land in the country was 87.2 million hectares (44% of the total agricultural land of the country). Identification of unused and inappropriately used agricultural land is the most urgent task at different levels of land management. A comprehensive land assessment (cadastral and market) is also among the priorities for improving land management efficiency. For the evaluation of agricultural land occupying vast areas of our country, remote sensing data from space have key importance.