Alpine grassland nutrition dynamic monitoring using HJ-1A/1B data

doi:10.6046/gtzyyg.2013.03.30

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Abstract

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.

Keywords LiDAR hyperspectral data DEM DOM snowline

TP 75

Issue Date: 03 July 2013

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	LI Guanghui
	WANG Cheng
	XI Xiaohuan
	ZHENG Zhaojun
	LUO Shezhou
	YUE Cairong

Cite this article:

LI Guanghui,WANG Cheng,XI Xiaohuan, et al. Alpine grassland nutrition dynamic monitoring using HJ-1A/1B data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 183-188.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.03.30 OR https://www.gtzyyg.com/EN/Y2013/V25/I3/183

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