A Test on the Computing-model-aided Photograph-Reading Method for Conveniently Measuring the Vegetation Cover in the Permafrost Area along the Qinghai-Tibet Engineering Corridor

doi:10.7522/j.issn.1000-694X.2013.00057

JOURNAL OF DESERT RESEARCH

2013, Vol. 33

Issue (2): 412-418 DOI: 10.7522/j.issn.1000-694X.2013.00057

Ecology and Economics

A Test on the Computing-model-aided Photograph-Reading Method for Conveniently Measuring the Vegetation Cover in the Permafrost Area along the Qinghai-Tibet Engineering Corridor

GONG Da-xin1, YUN Han-bo2, DOU Xue-cheng3, WU Qing-bai2, LIU Yong-zhi2, SUN Zhi-zhong2, CHEN Hao4, RUI Peng-fei2, LI Guo-chen5

1.College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China;
2.State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
3.College of Economics and Management, Gansu Agricultural University, Lanzhou 730070, China;
4.State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
5.Golmud Railway Administration of Qinghai-Tibet Railway Corporation, Golmud 816000, China

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Abstract

Vegetation cover may vary with climate change in some degree. The varitioan of vegetation cover was therefore regarded as a primary index for indicating ecological enviornmental change, and the accuracy of the measurement on the vegetation cover change is essential to forecasting ecological environmental changes resonably. By taking photographs of the vegetation in the permafrost area along the Qinghai-Tibet Engineering Corridor, then reading and analyzing the photos with a computing model, we achieved the caverage of the vegetation. At the same time when the photos were taken, we estimated the coverage by simple eye observing and cross eye observing. The result of comparison among the three methods showed that the coverage gotten by the computing-model aided method could be linearly regressed to that by cross eye observing mehtod (R2≥0.96), suggesting that the computing-model-aided photograph-reading method could be employed to monitor the variation of the vegetation in the permafrost area along the Qinghai-Tibet Engineering Corridor reliably and conviniently, sopposed the coverage obtained with the cross eye observing method was the actual coverage.

Key words: vegetation cover Qinghai-Tibet Engineering Corridor observing mehods

Received: 23 August 2012 Published: 25 September 2012

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	Articles by authors
	GONG Da-xin1
	YUN Han-bo2
	DOU Xue-cheng3
	WU Qing-bai2
	LIU Yong-zhi2
	SUN Zhi-zhong2
	CHEN Hao4
	RUI Peng-fei2
	LI Guo-chen5

Cite this article:

GONG Da-xin1, YUN Han-bo2, DOU Xue-cheng3, WU Qing-bai2, LIU Yong-zhi2, SUN Zhi-zhong2, CHEN Hao4, RUI Peng-fei2, LI Guo-chen5. A Test on the Computing-model-aided Photograph-Reading Method for Conveniently Measuring the Vegetation Cover in the Permafrost Area along the Qinghai-Tibet Engineering Corridor. JOURNAL OF DESERT RESEARCH, 2013, 33(2): 412-418.

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http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00057 OR http://www.desert.ac.cn/EN/Y2013/V33/I2/412

[1]章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.

[2]曹永翔,刘小丹,张克斌,等.青海省都兰县察汗乌苏绿洲植被覆盖度变化研究[J].中国沙漠,2011,31(5):1267-1272.

[3]Purevdorj T S,Tateishi R,Ishiyama T,et al.Relation-ships between percent vegetation cover and vegetation indices[J].International Journal of Remote Sensing,1998,(19):3519-3535.

[4]张学霞,朱清科,吴根梅,等.数码照相法估算植被盖度[J].北京林业大学学报,2008,30(8):164-169.

[5]Wittich K P,Hansing O.Area 2 averaged vegetative cover refraction estimated from satellite data[J].International Journal of Biometerology,1995,38(3):209-215.

[6]顾祝军,曾志远.遥感植被盖度研究[J].水土保持研究,2005,12(2):18-21.

[7]李艳丽,杨太保,曾彪.基于MODIS数据的柴达木盆地南缘绿洲土地覆盖动态变化研究[J].中国沙漠,2011,31(1):34-42.

[8]肖继东,王智,师庆东,等.基于熵权法的土地覆被动态遥感监测与评价——以新疆伊犁地区和博州为例[J].中国沙漠,2011,31(5):1286-1292.

[9]温庆可,张增祥,刘斌,等.草地覆盖度测算方法研究进展[J].草业科学,2009,26(12):30-36.

[10]金会军,王绍令,俞祁浩,等.青藏工程走廊冻土环境工程地质区划及评价[J].水文地质工程地质,2006,33（6）:66-71.

[11]程国栋,赵林.青藏高原开发中的冻土问题[J].第四纪研究,2000,20(6):521-530.

[12]孙永宁,王进昌,韩庆杰,等.青藏铁路格尔木至安多段沿线高寒植被、土壤特性与人工植被恢复研究[J].中国沙漠,2011,31(4):894-905.

[13]程国栋,马巍.青藏铁路建设中冻土工程问题[J].自然杂志,2002,28(6):315-324.

[14]程国栋.青藏铁路工程与多年冻土相互作用及环境效应[J].中国科学院院刊,2002,（1）:21-25.

[15]王根绪,胡宏昌,王一博,等.青藏高原多年冻土区典型高寒草地生物量对气候变化的响应[J].冰川冻土,2007,29(5):671-679.

[16]吴青柏,沈永平,施斌.青藏高原冻土及水热过程与寒区生态环境的关系[J].冰川冻土,2003,25(3):250-255.

[17]李霞,唐金,万红梅.塔里木河下游植物调查最小取样面积分析[J].中国沙漠,2011,31(5):1221-1225.

[18]刘慧平,朱启疆.应用高空间分辨率遥感数据进行土地利用与覆盖变化监测的方法及研究进展[J].资源科学,1999,21(3):23-27.

[19]Wilson A D,Abraham N A,Barratt R,et al.Evaluation of methods of assessing vegetation change in the semi-arid range-lands of southern Australia[J].Australian Rangeland Journal,1987,(9):5-13.

[20]Curran P J,Williamson H D.Sample size for ground and remotely sensed data[J].Remote Sensing of Environment,1986,(20):31-41.

[21]Gutman G,Ignatov A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote Sensing,1998,19(8):1533-1543.

[22]张云霞,李晓兵,张云飞.基于数字相机ASTER和MODIS影像综合测量植被盖度[J].植物生态学报,2007,31(5):842-849.

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