基于微波冠层散射模型的水稻生物量遥感估算

为寻求有效的水稻生物量估算方法，尝试开发了微波冠层散射模型。将实测的水稻结构参数作为输入变量，运行微波冠层散射的改进模型来模拟水稻冠层后向散射系数，结合遗传算法优化工具，从星载微波雷达遥感ALOS/PALSAR数据反演水稻的结构参数，进而对水稻生物量进行了空间制图。结果显示，模拟的水稻冠层后向散射系数误差在1 dB以内，估算的水稻生物量的误差小于200 g/m2。表明利用微波遥感机理模型反演水稻结构参数和估算水稻生物量具有应用潜力。

Remote sensing estimation of paddy rice biomass based on microwave canopy scattering model

A microwave canopy scattering model was developed for estimating rice biomass effectively. Taking paddy rice biophysical parameters measured in field survey as inputs of modified microwave canopy scattering model to simulate backscattering coefficient of paddy rice canopy, the modified model was integrated with generic algorithm optimization tool (GAOT) for the inversion of rice biophysical parameters from radar data ALOS/PALSAR. And then, a rice biomass map was generated. The results showed that the estimation error of rice canopy backscattering coefficients was less than 1dB with the modified model, and the difference of rice biomass between measured and estimated was below 200 g/m2. This research showed the potentials of microwave remote sensing physical model for inversing rice biophysical parameters and estimating rice biomass.