Winter wheat yield analysis using the Light Use Efficiency model in LandKlif project

The crop yield of Winter wheat is calculated using the light use efficiency (LUE) model for the state of Bavaria (adopted from Dhillon et al 2020). The yield output is received by inputting the synthetic dataset of Sentinel-2-MODIS with 10-meter spatial and 8-day temporal resolution (generated by Dhillon et al 2022) plus climate elements. The model output is validated using the Landesamt regional crop yield data of Bavaria for 2019 with an R2 of 0.86 and RMSE of 5.03 dt/ha. The NDVI and the yield product was created by Carina Kübert-Flock, Thorsten Dahms, and Maninder Singh Dhillon from TP 7 in LandKlif project. LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif). Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.本研究针对巴伐利亚州的冬小麦（Winter wheat）作物产量，采用光能利用效率（Light Use Efficiency, LUE）模型进行计算，模型改编自Dhillon等人2020年的研究成果。产量输出结果通过输入由Dhillon等人2022年生成的、空间分辨率10米、时间分辨率8天的Sentinel-2-MODIS合成数据集，辅以气候要素数据得到。采用巴伐利亚州地方农业管理局（Landesamt）2019年的区域作物产量数据对模型输出结果进行验证，最终决定系数（Coefficient of Determination, R²）为0.86，均方根误差（Root Mean Square Error, RMSE）为5.03 dt/ha。归一化植被指数（Normalized Difference Vegetation Index, NDVI）与该产量数据集由LandKlif项目TP 7工作组的Carina Kübert-Flock、Thorsten Dahms及Maninder Singh Dhillon共同构建。 LandKlif项目隶属于巴伐利亚气候研究网络（bayklif），由巴伐利亚州科学与艺术部资助。在bayklif的五年资助周期内，该网络共资助5个跨学科资深研究协会与5个青年研究小组，总资助金额达1800万欧元。作为5个跨学科资深研究协会之一，LandKlif聚焦气候变化对半自然、农业及城市景观中生物多样性与生态系统服务的影响。