Determinants of Cropping: Using Object-Based Remote Sensing Analysis to Construct Field Plot-level Polygon Panel Data

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  • Sato Takeshi
    Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • Murakami Tomoaki
    Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • Nakashima Yasuhiro
    Graduate School of Agricultural and Life Sciences, The University of Tokyo

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  • 圃場区画ポリゴンパネルデータの構築による圃場単位の作付け行動の計量経済分析

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<p>Remote sensing and geographic information systems enable observation of land cover, vegetation, and agricultural conditions. Geographical data also allow plot-level detailed economic analysis. Here, we used plot-level polygon panel data to integrate remote sensing, socioeconomic, and meteorological information. We conducted a field survey in one of the largest grassland areas in Japan, the Konsen Plateau. First, we created field plot polygons by object-based satellite image analysis. Second, we clarified the 2010 and 2015 land use/land cover in each polygon. Next, we linked the Census of Agriculture and Forestry in Japan and meteorological data to all polygons. Finally, we estimated determinants of cropping from the plot-level polygon panel data. The results show that the farmers who own more capital and employ more laborers prefer upland fields to grassland. Farmers in the study area also prefer upland fields, where the temperature is higher during the growing season. The explanation for these preferences is that having better biophysical conditions, capital, and labor inputs, upland fields profit farmers more. The data set allows economic analysis using socioeconomic and meteorological variables</p>

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