基于HJ-1B数据的冬小麦留茬覆盖度遥感估算

作物茬作为农田生态系统的重要组成部分，影响着农田生态系统中的营养物质、碳、水和能量的流动与循环。建立了基于HJ-1B数据的冬小麦留茬覆盖度遥感估算模型，为区域作物留茬覆盖度遥感监测提供技术支撑。以山东禹城市冬小麦为例，分析了冬小麦留茬覆盖度与HJ-1B CCD数据各波段反射率、红外多光谱成像仪IRS数据的近红外和短波红外波段反射率及三种归一化光谱指数之间的相关关系，选取IRS归一化指数构建冬小麦留茬覆盖度光学估算模型。使用独立的地面观测数据对模型进行检验，模型估算的最大相对误差为24.96%，平均相对误差为9.28%，达到了一定精度。

Estimation of winter wheat residue cover with HJ-1B Data

Crop residue, as an important element of Agro-ecosystem, can influence the flow of nutrients, carbon, water, and energy in Agro-ecosystem. To provide technical support for crop residue cover estimation with remote sensing data, relationships between winter wheat residue cover and reflectance of HJ-1B and three normalized difference indices were analyzed and discussed. Normalized difference index of HJ-1B IRS was selected to establish winter wheat residue cover estimation model. The model was validated using independent field observation data. Among all the 11 validation sites, the maximum relative error was 24.96% and the average relative error was 9.28%. Validation results indicated that an acceptable accuracy was achieved in winter wheat residue cover estimation.