CROSMOD project "Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco" supported by ESA and AUC in the framework of EO AFRICA R&D Facility
收藏资源简介：
The CROSMOD project “Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco” supported by ESA and AUC in the framework of EO AFRICA R&D Facility, aimed at developing a procedure for crop yield estimates and extreme events crops shocks monitoring or pest and diseases by integrating multiple satellite data and water-energy-crop modelling, able to support farmers precision agriculture for the case of the Doukkala Irrigation area in Morocco. <strong>The project was run by: Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy); and Fatima-ezzahra Elghandour and Youssef Houali from Chouaib Doukkali University (Morocco).</strong> The dataset report the results from the three case studies, which are cultivated fields with alfalfa, sugar beet and wheat in Morocco (LE, H, net radiation, land surface temperature, ET, potential irrigation, LAI, soil moisture) generated from FEST-EWB-SAFY model. The crop-energy-water balance FEST-EWB-SAFY model (Corbari et al., 2022) couples the distributed energy-water balance FEST-EWB (Corbari et al, 2011), which allows computing continuously in time and distributed in space both soil moisture and evapotranspiration fluxes, and the SAFY (Duchemin et al, 2008), simple model for yield prediction and plant development. FEST-EWB is based on the system of energy-water balances equations which are written in terms of a LST that allows closing the energy balance equation, so that this model internal variable can be directly compared with EO LST for model parameters calibration (Corbari & Mancini, 2014). The crop growth simple model (SAFY) (Duchemin et al, 2008) simulate yield and LAI prediction based on light-use efficiency theory with leaf partitioning function. <strong>The code was developed by Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy).</strong> [1] Corbari, C., Ravazzani, G. and Mancini, M. (2011), A distributed thermodynamic model for energy and mass balance computation: FEST–EWB. Hydrol. Process., 25: 1443-1452. https://doi.org/10.1002/hyp.7910 [2] Corbari, C., Ben Charfi, I., Al Bitar, A., Skokovic, D., Sobrino, J.A., Perelli, C., Branca, G., Mancini, M. (2022), A fully coupled crop-water-energy balance model based on satellite data for maize and tomato crops yield estimates: The FEST-EWB-SAFY model, Agr. Wat. Man., 272: 107850. https://doi.org/10.1016/j.agwat.2022.107850\n [3] Corbari, C., Mancini, M., 2014. Calibration and validation of a distributed energy water balance model using satellite data of land surface temperature and ground discharge measurements. J. Hydrometeorol. 15, 376–392. https://doi.org/10.1175/JHM-D-12-0173.1 [4] Duchemin, B., Maisongrande, P., Boulet, G., Benhadj, I., 2008. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index. Environ. Modell. Softw. 23(7), 876-892. https://doi.org/10.1016/j.envsoft.2007.10.003
由欧洲空间局(European Space Agency, ESA)与非洲大学联盟(AUC)在EO AFRICA研发设施框架下资助的CROSMOD项目——“摩洛哥杜卡拉半干旱地区作物胁迫监测”，旨在开发一套作物产量估算、极端灾害事件、作物胁迫与病虫害监测的方法，通过整合多源卫星数据与水-能-作物耦合模型，为摩洛哥杜卡拉灌区的农户精准农业提供支撑。**本项目由意大利米兰理工大学的基亚拉·科尔巴里（Chiara Corbari）与尼古拉·帕乔拉（Nicola Paciolla），以及摩洛哥舒艾布·杜卡拉大学的法蒂玛-埃扎赫拉·埃尔甘杜尔（Fatima-ezzahra Elghandour）与优素福·胡阿里（Youssef Houali）共同执行。**本数据集收录了三个案例研究的相关结果，对应摩洛哥境内种植苜蓿、甜菜与小麦的农田，数据集变量包括潜热通量(Latent Heat Flux, LE)、显热通量(Sensible Heat Flux, H)、净辐射、地表温度(Land Surface Temperature, LST)、蒸散量(Evapotranspiration, ET)、潜在灌溉量、叶面积指数(Leaf Area Index, LAI)与土壤湿度，上述变量均由FEST-EWB-SAFY模型生成。作物-能量-水平衡模型FEST-EWB-SAFY（Corbari等，2022）是分布式能量-水平衡模型FEST-EWB（Corbari等，2011）与产量预测及作物生长简易模型SAFY（Duchemin等，2008）的耦合模型。其中FEST-EWB可实现时空连续的土壤湿度与蒸散发通量计算，其基于能量-水平衡方程组，通过地表温度闭合能量平衡方程，因此该模型的内部变量可与EO获取的地表温度进行比对，用于模型参数校准（Corbari & Mancini, 2014）。SAFY模型则基于光利用效率理论与叶片分配函数，可实现产量与叶面积指数的预测。**本模型代码由意大利米兰理工大学的基亚拉·科尔巴里与尼古拉·帕乔拉开发。**[1] Corbari, C., Ravazzani, G. 和 Mancini, M. (2011), 用于能量与质量平衡计算的分布式热力学模型：FEST–EWB. 《水文过程》, 25: 1443-1452. https://doi.org/10.1002/hyp.7910 [2] Corbari, C., Ben Charfi, I., Al Bitar, A., Skokovic, D., Sobrino, J.A., Perelli, C., Branca, G., Mancini, M. (2022), 基于卫星数据的全耦合作物-水-能量平衡模型用于玉米与番茄产量估算：FEST-EWB-SAFY模型. 《农业水管理》, 272: 107850. https://doi.org/10.1016/j.agwat.2022.107850 [3] Corbari, C., Mancini, M., 2014. 基于地表温度卫星数据与地面流量测量的分布式能量水平衡模型的校准与验证. 《水文气象学报》, 15, 376–392. https://doi.org/10.1175/JHM-D-12-0173.1 [4] Duchemin, B., Maisongrande, P., Boulet, G., Benhadj, I., 2008. 一种简易产量估算算法：基于绿叶面积指数监测的半干旱灌区冬小麦评估. 《环境建模与软件》, 23(7), 876-892. https://doi.org/10.1016/j.envsoft.2007.10.003
