ISSN 0016-7126 (Print)
ISSN 2587-8492 (Online)
| 1. Bondareva G. I., Shevchenko V. A., Orlov B. N., Orlov N. B. Issledovanie sostoyaniya i prognoz razvitiya brosovykh zemel' Rossii. Moskva: VNIIGiM im. A. N. Kostyakova, 2021, 189 p. |
| 2. Volkov S. N., Vershinin V. V., Fedorinov A. V., Cherkashina E. V., Shapovalov D. A., Semochkin V. N. Vovlechenie neispol'zuemykh zemel' sel'skokhozyaistvennogo naznacheniya v aktivnyi ekonomicheskii oborot. Moskva: GUZ, 2023, 163 p. |
| 3. Golubev I. G., Mishurov N. P., Fedorenko V. F., Apatenko A. S., Sevryugina N. S. Innovatsionnye tekhnologii otsenki sostoyaniya i vovlecheniya v oborot zalezhnykh zemel. Moskva: Rosinformagrotekh, 2022, 80 p. |
| 4. Kireicheva L. V., Yurchenko I. F. Metodika ekologo-ekonomicheskogo obosnovaniya vvedeniya zemel' v sel'skokhozyaistvennyi oborot ili perevod ikh v drugie kategorii. Moskva: VNIIGiM im. A. N. Kostyakova, 2020, 130 p. |
| 5. Solov'ev V. I. Tsifrovaya metodika sploshnogo ekspress-obsledovaniya neispol'zuemykh zemel' sel'skokhozyaistvennogo naznacheniya. Mezhdunarodnyi sel'skokhozyaistvennyi zhurnal, 2026, Vol. 69, no. 1 (410), pp. 4–8. |
| 6. Cherkashina E. V., Sorokina O. A., Fomkin I. V., Fedorinov A. V., Petrova L. E. Vyyavlenie neispol'zuemykh zemel' sel'skokhozyaistvennogo naznacheniya i ikh vovlechenie v ekonomicheskii oborot na osnove planovoi inventarizatsii zemel'. Zemleustroistvo, kadastr i monitoring zemel, 2020, Vol. 15, no. 11 (190), pp. 22–27. DOI: 10.33920/sel-04-2011-02. |
| 7. Shevchenko V. A., Borodychev V. V., Lytov M. N. Kontseptual'nye podkhody k otsenke neispol'zuemykh sel'skokhozyaistvennykh zemel'. Vestnik rossiiskoi sel'skokhozyaistvennoi nauki, 2020, no. 6, pp. 20–26. DOI: 10.30850/vrsn/2020/6/20-26. |
| 8. Bayr U., Krogli S. O., Eiter S. (2025) Assessing land suitability and potential for extending the area for urban agriculture in Norway using GIS-MCDA. Urban Forestry and Urban Greening, no. 112: 128912, DOI: 10.1016/j.ufug.2025.128912. |
| 9. Bilal H., Lahlou F.-Z., Al-Ansari T. (2025) Land suitability assessment and self-sufficiency evaluation for fodder crop production in a hyper arid environment coupling GIS-based multi-criteria decision making and optimization. Ecological Modelling, no. 501:111021, DOI: 10.1016/j.ecolmodel.2025.111021. |
| 10. Herrick J. E., Beh A., Barrios E. et al. (2016) The land-potential knowledge system (LandPKS): mobile apps and collaboration for optimizing climate change investments. Ecosystem Health and Sustainability, no. 2, 3:e01209, DOI: 10.1002/ehs2.1209. |
| 11. Martinez-Sanchez L., See L., Yordanov M. et al. (2024) Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model. Environmental Modelling and Software, no. 172:105931, DOI: 10.1016/j.envsoft.2023.105931. |
| 12. Martinez-Sanchez L., Hufkens K., Kearsley E. et al. (2024) Semantic segmentation dataset of Land Use/Cover Area frame Survey (LUCAS) rural landscape street view images. Data in brief, no. 54 (18):110394, DOI: 10.1016/j.dib.2024.110394. |
| 13. Pflugmacher D., Rabe A., Peters M., Hostert P. (2019) Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sensing of Environment, no. 221, pp. 583–595. DOI: 10.1016/j.rse.2018.12.001. |
| 14. Reumaux R., Chopin P., Bergkvist G., Watson Ch. ј., Öborn I. (2023) Land parcel identification system (LPIS) data allows identification of crop sequence patterns and diversity in organic and conventional farming systems. European Journal of Agronomy, no. 149:126916, DOI: 10.1016/j.eja.2023.126916. |
| 15. Weigand M., Staab J., Wurm M., Taubenböck H. (2020) Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation, no. 88:102065, DOI: 10.1016/j.jag.2020.102065. |
| (2026) Results of testing a digital methodology for a continuous express survey of unused agricultural land in Kaluga Oblast, RF. Geodesy and cartography = Geodeziya i Kartografiya, 87(9), pp. 56-64. (In Russian). DOI: 10.22389/0016-7126-2026-1035-9-56-64 |