A RESEARCH ON THE HYPERSPECTRAL INDEXES OF DOMINANT VEGETATION IN YANHE DRAINAGE AREA

doi:10.6046/gtzyyg.2002.01.11

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Abstract Many scientists have probed into using hyperspectral indexes to identify vegetation and their coverage, and created many methods. These methods, however, are based on statistics and regression analysis, and do not necessarily suit all floristics in a specific area. This paper described some of the methods, took the dominant vegetations in Yanhe drainage area as examples to compute their indexes and discuss their spectral characteristics as well as the affecting factors, and summed up the methods for identifying the dominant plants in the area with spectrum indexes. The utilization of the water absorbtion indexes controlled by water content of plants on the central bands of 970nm and 1190nm is also proposed to help identify the plants.

Keywords Arid inland in northwest China Lower reaches of the Qarqan River Wetland Changes of wetland landscape pattern Landscape index Ecological effects

Issue Date: 02 August 2011

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	ZHU Gang
	GAO Hui-Jun
	ZENG Guang
	JIN Mou-Shun

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ZHU Gang,GAO Hui-Jun,ZENG Guang, et al. A RESEARCH ON THE HYPERSPECTRAL INDEXES OF DOMINANT VEGETATION IN YANHE DRAINAGE AREA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(1): 47-52.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.01.11 OR https://www.gtzyyg.com/EN/Y2002/V14/I1/47

[1] Clark R N, King T V V, Ager C, Swayze G A. Vegetation Species and Stress Indicator Mapping in the San Luis Valley, Colorado using Imaging Spe ctrometer data［J］.Remote Sensing of Environment,submitted,1997.

[2] Rencz A. Manual of Remote Sensing, Chapter 1［M］. New York: John Wiley a nd Sons, Inc. 1999.

[3] Blackburn G A. Spectral indices for estimating photosynthetic pigment con centration: a test using senscent tree leves［J］.INT.J.Remote Sensing, 1998,19( 4),657-675.

[4] 陈述彭,童庆禧,郭华东.遥感信息机理研究［M］.北京:科学出版社,1998,7.

[5] Shaw D T. High-spectral resolution data for monitoring Scots pine (pinus sylvestris L.) regeneration［J］. Int.J.Remote Sensing,1998,19(13):2601-2608.

[6] Bolster K L, Martin M E, Aber J D. Determination of carbon fraction and n itrogen concentration in tree foliage by near infrared reflectance: a comparison of statistical methods［J］. Canadian Journal of Forest Research, 1996, 26:590- 600.

[7] Raymond F Kokaly, Roger N Clark, Eric Livo K. Mapping the Biology and Mi neralogy of Yellowstone National Park using Imaging Spectroscopy

[A]. Summarie s of the 7th Annual JPL Airborne Earth Science Workshop

[C]. In:Green R O, AVI RIS Workshop. JPL Publication 97-21. 1998,1,245-254.

[8] 吴继友,等.山东招远金矿区赤松针叶反射光谱红边的季节特征［J］.遥感学报,199 7,1～2:124-127.

[9] 宫鹏,等.不同季节针叶树种高光谱数据识别分析［J］.遥感学报,1998,2(3):211-2 17.

[10] 万余庆,等.延河流域植物光谱特征分析［J］.国土资源遥感,2001,(3):15-20.

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