STUDY ON REMOTELY SENSED ESTIMATE MODEL OF STAND VOLUME IN THE SOUTH-CHINA MQVNTAIN

doi:10.6046/gtzyyg.1993.02.10

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Abstract The key for increase estimate Precision of stand volume is to understand well the interior of forestry reflective spectrum. In this paper, forestry spectrum information is analysed. "condition average criterion" is used to increase consistency; DTMis need to correct irradiation difference for different topography. The K-Ttransformation is applied to extract characteristics of forest and its envircnment. Remotely sensed estimate model of stand volume is developed and it is demonstrated satisfactorily by the experiments.The average estimate precision of stand volume is 90% for the primary stand classes. It can be applied to estimate the stand volume at south-china mountain.

Keywords PROSPECT+SAIL model LAI Atmospheric correction Leaf biochemical properties

Issue Date: 02 August 2011

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	CAI Bo-Feng
	SHAO Xia
	LIU Bao-Tong
	WANG Yu-Qiang

Cite this article:

CAI Bo-Feng,SHAO Xia,LIU Bao-Tong, et al. STUDY ON REMOTELY SENSED ESTIMATE MODEL OF STAND VOLUME IN THE SOUTH-CHINA MQVNTAIN[J]. REMOTE SENSING FOR LAND & RESOURCES, 1993, 5(2): 39-47.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1993.02.10 OR https://www.gtzyyg.com/EN/Y1993/V5/I2/39

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