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.

本数据集针对巴伐利亚州的冬小麦产量，采用光能利用率（light use efficiency, LUE）模型进行计算（改编自Dhillon等2020年的研究）。该产量输出通过输入空间分辨率10米、时间分辨率8天的Sentinel-2-MODIS合成数据集（由Dhillon等2022年生成）及气候要素得到。模型输出采用巴伐利亚州Landesamt区域作物产量数据进行验证，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。该归一化植被指数（Normalized Difference Vegetation Index, NDVI）与产量产品由LandKlif项目TP 7团队的Carina Kübert-Flock、Thorsten Dahms及Maninder Singh Dhillon研发。
LandKlif由巴伐利亚州科学与艺术部依托巴伐利亚气候研究网络（bayklif）资助。在bayklif的五年资助周期内，共计为5个跨学科资深研究协会与5个青年研究小组提供总额1800万欧元的经费支持。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。