草地牧草营养品质的优劣不仅影响家畜的生长发育, 也影响畜产品的品质，对草牧业的发展具有十分重要的作用。营养成分是草地牧草品质评价的重要内容，也是碳循环和全球气候变化研究的关键指标。传统方法费时费力、成本巨大、多光谱遥感受有限的光谱通道及不连续的宽波段的制约，通常局限于草地生物物理指标的宏观研究。本项目以甘南高原高寒草地作为研究对象，利用多源高光谱数据和地表观测资料，采用高光谱分析技术和多元统计分析方法, 重点研究高寒草地牧草在不同生育期的高光谱遥感特征；探索多源星载多时相高光谱数据的快速合成与处理算法，研究高寒天然草地牧草营养成分和饲用价值高光谱遥感机理；系统研究高寒草地牧草关键营养成分的高光谱特征指标、诊断方法及其监测模型；分析高寒草地牧草营养成分与饲用价值时空分布格局；研发高寒草地牧草高光谱遥感监测与评价信息系统，为高寒天然草地牧草品质和饲用价值评价、草畜营养平衡研究提供科学基础。

Quality of forage nutritions in grassland plays an important role in the development of grassland animal husbandry, which not only affects the growth and development, but the quality of animal products as well. Nutrient component in grassland is an important content of forage quality evaluation, but also the key index of carbon cycle and global climate change research. The traditional method is time-consuming and costly, multi-spectral remote sensing is limited by spectral channels and discontinuous wide bands, which is generally limited to the macro research of grassland biophysical indicators. Taking alpine grassland in Gannan plateau as the research object, using multi-source hyperspectral data and surface observation inforamation, as well as hyperspectral analysis techniques and multivariate statistical analysis methods, this project focuses on the study of forage hyperspectral remote sensing characteristics in different growth stages of alpine grassland; explores rapid synthesis and processing algorithms of multi-source and multitemporal satellite hyperspectral data, studies the hyperspectral remote sensing mechanism for nutrient components and feed value in natural alpine grassland; systematically studies the hyperspectral characteristical indicators of key nutrients in alpine grassland, and diagnostic methods and monitoring models; analyzes the spatio-temporal distribution patterns of nutrient content and feed value of alpine grassland; and develops a monitoring and evaluation information system of alpine grassland hyperspectral remote sensing, which is expected to provide scientific basis for the research of quality and feed value evaluation, forage and livestock nutrition balance in alpine grassland.