基于HJ-1 CCD数据的东北大豆产量估算

Xin Du, Fang-yun Song, Hongyan Wang, Huanxue Zhang, J. Meng, Qiangzi Li, Jilei Liu, Leilong Ding, Yewei Lu
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引用次数: 0

摘要

本研究利用HJ-1 CCD数据,结合辐射利用效率模型估算大豆生物量。HJ-1 CCD数据提供了时间序列参数,可以得到描述大豆生长过程的信息,将这些信息输入到具有实时气象数据的生物量模型中,就可以得到生物量。然后采用固定的收获指数(HI)来计算大豆产量。结果与地面实测数据进行了验证。决定系数R2为0.425,大豆产量估计值与实测值的平均分数差为29.73%。研究结果表明,利用高空间分辨率、重访周期短的HJ CCD遥感数据进行估算可以更详细地揭示其空间格局,提高遥感在局地尺度上的应用。该方法也有可能应用于许多其他研究,包括农业生产估计、作物生长监测和农业生态系统碳循环研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soybean yield estimation using HJ-1 CCD data in Northeast China
In this study, soybean biomass was estimated using HJ-1 CCD data, combined with a radiation use efficiency model. HJ-1 CCD data provide time-serial parameters, with which we can get the information that describe the growth process of soybean, so inputted these information into a biomass model with the real time meteorological data, and then we could get the biomass. And then a fix value of harvest index (HI) was used to calculate the soybean yield. The results were validated with ground measure data. The coefficients of determination R2 is 0.425, and the average fractional differences between estimated and observed yield of soybean is 29.73%. We concluded that estimation with remote-sensing data, such as the HJ CCD data that have a high spatial resolution and a shorter revisit cycle, can show more detail in its spatial patterns and improve the application of remote sensing on a local scale. The potential also exists for applying the approach to many other studies, including agricultural production estimation, crop growth monitoring, and agricultural ecosystem carbon cycle studies.
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