Alpine grassland nutrition dynamic monitoring using HJ-1A/1B data
WANG Xun1,2, LIU Shujie1,2, ZHANG Xiaowei1,2, HAO Lizhuang1,2, ZHAO Yueping1,2, WANG Wanbang1,2
1. Province-ministry Co-constructing State Key Laboratory Cultivation Base of Plateau Grazing Animal Nutrition and Ecology of Qinghai Province, Xining 810086, China;
2. Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
The reasonable utilization of grassland and the balance of grass and livestock based on remote sensing dynamic monitoring of the nutritional status of alpine grassland constituted the key factors for four periods monitoring of the nutritional status of the grassland. The authors studied the dynamic monitoring models for four periods of biomass and crude protein and, through direct and indirect models, analyzed the content of biomass and crude protein. The results show that the indirect model is a feasible means to retrieve the biomass and crude protein content, especially in the withered-grass period and the following green-grass period; the nutritional status of the grassland varies remarkably, with the maximum difference of the nutritional status between different periods reaching about night times.
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2013, Vol. 25 
