Timely grasp crop distribution and monitor its growth condition is of great significance to dynamic perception of food security. Based on the MODIS-NDVI product and the phonology characteristics of soybean in Argentina, we extract the distribution of soybean and monitor its growth condition, then use farmland contiguous index(FCI) to rectify the area distortion causing by scale effect. The result shows that the change trend of soybean planting area in Argentina for past three years is in line with the trend of data released by the USDA. The planting ratio in the main producing areas is also highly consistent with official data. The overall growth of soybean is poor than normal in 2017, and the soybean harvest area decrease than the past two years. The sub-region is better than the main producing area, and the spatial distribution of the main producing provinces presents a discrete or aggregated change. The soybean distribution and growth condition are highly coupled with the drought degree in time and space. In this study, the method named "phonological matching-LUCC downscaling crop extraction" is comparatively accurate and rapid, it is could be used for effective extraction of soybeans in other areas or other staple crop crops.
NDVIcrop growth monitoringgrowth monitoringArgentinadistance average analysisDSI
NETL
NSTL
维普
万方数据
