应用数字照相机研究西藏草地产草量

doi:10.11733/j.issn.1007-0435.2008.01.007

›› 2008, Vol. 16 ›› Issue (1): 34-38.DOI: 10.11733/j.issn.1007-0435.2008.01.007

应用数字照相机研究西藏草地产草量

姬秋梅¹, Robeto Quiroz², Calos Leon-Velarde²

1. 西藏自治区农牧科学院畜牧兽医研究所, 西藏拉萨, 850009;
2. 国际马铃薯研究中心, 秘鲁利马, 12

收稿日期:2006-09-27 修回日期:2007-09-17 出版日期:2008-02-15 发布日期:2008-02-15
作者简介:姬秋梅(1965- ),女,藏族,西藏拉萨人,博士,副研究员,主要从事牦牛生产系统研究,E-mail:qiumeiji@hotmail.com
基金资助:
国际马铃薯研究中心资助(CIP);国际山地综合发展中心(ICIMOD)资助

Dry Matter Availability Assessment in Tibetan Grasslands Using Ground-Level Remotely-Sensed Data

JI Qiu-mei¹, Robeto Quiroz², Calos Leon-Velarde²

1. Institute of Livestock Research, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, Tibet, 850009, China;
2. International Potato Center, Lima, Peru, 12

Received:2006-09-27 Revised:2007-09-17 Online:2008-02-15 Published:2008-02-15

摘要/Abstract

摘要： 应用农业数字化照相机(ADC)测定西藏草地干物质(DM)量,并与野外采样测定数据相结合,用植被指数测定草地DM量的估测模型。本次研究为4个主要草地类型(高寒草原、高寒草甸、以西藏嵩草为建群种的高寒草甸以及针茅属草为优势种的高寒草原)建立了DM估测模型(与实际有较好的拟合度)。该方法为小尺度的草地研究、动态监测和畜牧业生产提供方便、实用、经济且较准确的方法和技术。

关键词: 数字照相机, 产草量, 西藏草地, 干物质, 可获得量

Abstract: The method,processing technique were described and four models and some results were developed and presented for dry matter(DM) estimation of four major grassland types in Tibet using ground-level remotely-sensed data of Agriculture Digital Camera(ADC).There was a high regressive relationship between NDVI and sampling data.Combination of NDVI and ADC showed additional advantages in DM availability measurement in comparison to conventional electronic devices,and it would be a useful method for monitoring small scaled grasslands and animal production systems analysis.

Key words: Agriculture digital camera, Biomass, Tibetan grasslands, Dry matter, Availability

中图分类号:

S812

姬秋梅, Robeto Quiroz, Calos Leon-Velarde. 应用数字照相机研究西藏草地产草量[J]. , 2008, 16(1): 34-38.

JI Qiu-mei, Robeto Quiroz, Calos Leon-Velarde. Dry Matter Availability Assessment in Tibetan Grasslands Using Ground-Level Remotely-Sensed Data[J]. , 2008, 16(1): 34-38.

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应用数字照相机研究西藏草地产草量

Dry Matter Availability Assessment in Tibetan Grasslands Using Ground-Level Remotely-Sensed Data

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