COMPUTER DISTINGUISHING ANALYSIS FOR MONITORING FOREST RECOVERY AT GU-LIAN-HE FOREST FARM

doi:10.6046/gtzyyg.1993.01.05

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Abstract This paper describes a test in which the TMdata has been processed in the GU-Lian-He forest farm, the north of the Da-Xing-An-Ling forest zone in Hei-Long-Jiang province suffered serious conflagration during May 6 to June 2 in 1987 Anew method is developed in which K-Ltransformation is used in two periods data together. And also K-Ttransformation is used for calculating the greenness component. Several classification images on monitoring the change of forest resources have been obtained by analysing the coefficient of transformation and computer automatic distinguishing. The results have demonstrated that it is a reliable and superior method for monitoring the change of forest resource.

Keywords Surface albedo Reflection radiant flux density Incidence radiant flux density Spectual datas

Issue Date: 02 August 2011

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	LIANG Wen-Guang
	ZHAO Ying-Shi
	DING Yan-Yun
	LI Zhan-Kui

Cite this article:

LIANG Wen-Guang,ZHAO Ying-Shi,DING Yan-Yun, et al. COMPUTER DISTINGUISHING ANALYSIS FOR MONITORING FOREST RECOVERY AT GU-LIAN-HE FOREST FARM[J]. REMOTE SENSING FOR LAND & RESOURCES, 1993, 5(1): 23-28.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1993.01.05 OR https://www.gtzyyg.com/EN/Y1993/V5/I1/23

[1] Eric P. Crist and Richard C. Cicone. A Physically-Based Transformation of Thcmatic Mapper Data-The TM Tassled Cap. IEEE Transacion on Geoscicnce and Remotc Scnsing, 1984,22 (3):256～263

[2] 王杰生.“用于遥感图像计算机分类的SVD法”。第七届全国遥感技术学术交流会论文集,1991.327～329

[3] 胡德永."TM图像在大兴安岭森林火灾过火区林木恢复监测中的作用”.遥感信息,1991 (3)

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