ABSTRACT

Spatial depiction of wheat and predicting yields are crucial for national food security measures. This study has employed multi-temporal synthetic aperture radar (SAR) data for spatial mapping of winter wheat and estimating its acreage in the Gorakhpur district. Results showed that the estimated acreage of winter wheat based on SAR data was 189,740 hectares. Accordingly, the yield and production were predicted as 3.9 tonnes/ha and 740,000 tonnes, respectively, using a polynomial model. VH polarisation was effective in acreage mapping compared to VV. Thereby, the developed framework could support policymakers by giving advanced estimates of area and yield.

摘要

小麦的空间描绘和预测产量对于国家粮食安全措施至关重要。本研究采用多时相合成孔径雷达 (SAR) 数据绘制冬小麦的空间图并估算其在 Gorakhpur 地区的种植面积。结果显示，根据SAR数据估算的冬小麦种植面积为189,740公顷。因此，使用多项式模型预测产量和产量分别为 3.9 吨/公顷和 740,000 吨。与 VV 相比，VH 极化在面积测绘中更有效。因此，开发的框架可以通过对面积和产量进行高级估计来支持政策制定者。