# **References:**

Alix-Garcia, J., Bartlett, A., Saah, D., 2013. The Landscape of Conflict: IDPs, Aid and Land-Use Change in Darfur. Journal of Economic Geography 13, 589-617 Arias, M.A., Ibáñez, A.M., Zambrano, A., 2019. Agricultural production amid conflict: Separating the effects of conflict into shocks and uncertainty. World Development 119, 165-184 Aula, L., Omara, P., Nambi, E., Oyebiyi, F.B., Dhillon, J., Eickhoff, E., Carpenter, J., Raun, W.R., 2021. Active optical sensor measurements and weather variables for predicting winter wheat yield. Agronomy Journal 113, 2742-2751 Becker-Reshef, I., Vermote, E., Lindeman, M., Justice, C., 2010. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment 114, 1312-1323 Ben Aoun, W., Cerrani, I., Claverie, M., Lemoine, G., Nisini Scacchiafichi, L., Panarello, L., Ronchetti, G., Sedano Santamaria, F., Baruth, B., 2022. JRC MARS Bulletin Global outlook: Crop monitoring European neighbourhood - Ukraine Publications Office of the European Union, Luxembourg Berman, N., Couttenier, M., Soubeyran, R., 2021. Fertile Ground for Conflict. Journal of the European Economic Association 19, 82-127 Blair, G., Christensen, D., Rudkin, A., 2021. Do Commodity Price Shocks Cause Armed Conflict? A Meta-Analysis of Natural Experiments. American Political Science Review 115, 709-716 Burke, M., Driscoll, A., Lobell, D., Ermon, S., 2020. Using Satellite Imagery to Understand and Promote Sustainable Development. National Bureau of Economic Research, Inc, NBER Working Papers: 27879 d'Agostino, A.L., Schlenker, W., 2016. Recent Weather Fluctuations and Agricultural Yields: Implications for Climate Change. Agricultural Economics 47, 159-171 D'Souza, A., Jolliffe, D., 2014. Food Insecurity in Vulnerable Populations: Coping with Food Price Shocks in Afghanistan. American Journal of Agricultural Economics 96, 790-812 d’Andrimont, R., Taymans, M., Lemoine, G., Ceglar, A., Yordanov, M., van der Velde, M., 2020. Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series. Remote Sensing of Environment 239, 111660 D’Souza, A., Jolliffe, D., 2013. Conflict, food price shocks, and food insecurity: The experience of Afghan households. Food Policy 42, 32-47 Dabalen, A.L., Paul, S., 2014. Effect of Conflict on Dietary Diversity: Evidence from Côte d’Ivoire. World Development 58, 143-158 Dara, A., Baumann, M., Freitag, M., Hölzel, N., Hostert, P., Kamp, J., Müller, D., Prishchepov, A.V., Kuemmerle, T., 2020. Annual Landsat time series reveal post-Soviet changes in grazing pressure. Remote Sensing of Environment 239, 111667 Deininger, K., Nizalov, D., Singh, S.K., 2018. Determinants of Productivity and Structural Change in a Large Commercial Farm Environment: Evidence from Ukraine. The World Bank Economic Review 32, 287-306 Dhillon, J.S., Figueiredo, B.M., Eickhoff, E.M., Raun, W.R., 2020. Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat. Agronomy Journal 112, 537-549 George, J., Adelaja, A., Weatherspoon, D., 2020. Armed Conflicts and Food Insecurity: Evidence from Boko Haram's Attacks. American Journal of Agricultural Economics 102, 114-131 Graubner, M., Ostapchuk, I., Gagalyuk, T., 2021. Agroholdings and Land Rental Markets: A Spatial Competition Perspective. European Review of Agricultural Economics 48, 158-206 Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., Townshend, J.R.G., 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342, 850-853 Johnson, D.M., Rosales, A., Mueller, R., Reynolds, C., Frantz, R., Anyamba, A., Pak, E., Tucker, C., 2021. USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? Remote Sensing 13, 4227 Kussul, N., Lavreniuk, M., Skakun, S., Shelestov, A., 2017. Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters 14, 778-782 Kvartiuk, V., Herzfeld, T., Bukin, E., 2022. Decentralized public farmland conveyance: Rental rights auctioning in Ukraine. Land Use Policy 114, 105983 Large, E.C., 1954. Growth stages in cereals: Illustration of the Feekes scale. Plant Pathology 3, 128-129 Lark, T.J., Mueller, R.M., Johnson, D.M., Gibbs, H.K., 2017. Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations. International Journal of Applied Earth Observation and Geoinformation 62, 224-235 Lobell, D.B., Azzari, G., Burke, M., Gourlay, S., Jin, Z., Kilic, T., Murray, S., 2020. Eyes in the Sky, Boots on the Ground: Assessing Satellite‐ and Ground‐Based Approaches to Crop Yield Measurement and Analysis. American Journal of Agricultural Economics 102, 202-219 Lopresti, M.F., Di Bella, C.M., Degioanni, A.J., 2015. Relationship between MODIS-NDVI data and wheat yield: A case study in Northern Buenos Aires province, Argentina. Information Processing in Agriculture 2, 73-84 Martin-Shields, C.P., Stojetz, W., 2019. Food security and conflict: Empirical challenges and future opportunities for research and policy making on food security and conflict. World Development 119, 150-164 Mashaba, Z., Chirima, G., Botai, J.O., Combrinck, L., Munghemezulu, C., Dube, E., 2017. Forecasting winter wheat yields using MODIS NDVI data for the Central Free State region. South African Journal of Science 113 Matasov, V., Prishchepov, A.V., Jepsen, M.R., Müller, D., 2019. Spatial determinants and underlying drivers of land-use transitions in European Russia from 1770 to 2010. Journal of Land Use Science 14, 362-377 27