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Combining satellite-sensed and ground data and the BASGRA model to predict grass yield in high-latitude regions
Field Crops Research ( IF 5.6 ) Pub Date : 2024-10-11 , DOI: 10.1016/j.fcr.2024.109610 Tomas Persson, Francisco Javier Ancin Murguzur, Corine Davids, Mats Höglind, Marit Jørgensen
Field Crops Research ( IF 5.6 ) Pub Date : 2024-10-11 , DOI: 10.1016/j.fcr.2024.109610 Tomas Persson, Francisco Javier Ancin Murguzur, Corine Davids, Mats Höglind, Marit Jørgensen
In high-latitude regions, variable weather conditions during the growing season and in winter cause considerable variation in forage grass productivity. Tools for predicting grassland status and yield, such as field measurements, satellite image analysis and process-based simulation models, can be combined in decision support for grassland management. Here, we calibrated and validated the BASic GRAssland (BASGRA) model against dry matter and Leaf area index data from temporary grasslands in northern Norway.
中文翻译:
结合卫星传感数据和地面数据以及 BASGRA 模型来预测高纬度地区的草产量
在高纬度地区,生长季节和冬季多变的天气条件导致牧草生产力发生相当大的变化。用于预测草原状况和产量的工具,如田间测量、卫星图像分析和基于过程的模拟模型,可以结合起来用于草原管理的决策支持。在这里,我们根据挪威北部临时草原的干物质和叶面积指数数据校准和验证了 BASic GRAssland (BASGRA) 模型。
更新日期:2024-10-11
中文翻译:
结合卫星传感数据和地面数据以及 BASGRA 模型来预测高纬度地区的草产量
在高纬度地区,生长季节和冬季多变的天气条件导致牧草生产力发生相当大的变化。用于预测草原状况和产量的工具,如田间测量、卫星图像分析和基于过程的模拟模型,可以结合起来用于草原管理的决策支持。在这里,我们根据挪威北部临时草原的干物质和叶面积指数数据校准和验证了 BASic GRAssland (BASGRA) 模型。