Estimation of Forest Volume in Karst Mountain Ecosystem with Synthetic Aperture Radar Remote Sensing Technology

doi:10.13466/j.cnki.lyzygl.2018.04.016

Abstract

Abstract:

Karst mountain area is a special and fragile ecological landscape in the southwestern China.Forest optical remote sensing data in the regeion is not easy to obtain timely due to cloudy and rainy weather,affecting the investigation of forest resources in the ecosystem.Synthetic aperture radar (SAR)estimation technology is very suitable for quantitative evaluation of forest volume in cloudy mountain area,because radar has the ability to penetrate clouds onto the canopy,and its microwave can interact with the coronet and branches,resulting in all-weather observation of the forest.In this study,we selected Huishui county karst mountain area in Guizhou Province as the experimental area,and established a parameter model to estimate the forest reserves in the area by using SAR data and the ground data.We further analyzed the accuracy of the estimation from the model and expect that SAR remote sensing technology could facilitate more efficient management of the forest resources and the sustainable development of Guizhou Karst mountain ecosystem。

Key words: karst mountain ecosystem, synthetic aperture radar, regression analysis, forest volume estimation, dominant species

CLC Number:

TP79

YANG Yongtian, YANG Guangbin, ZHAO Haibin. Estimation of Forest Volume in Karst Mountain Ecosystem with Synthetic Aperture Radar Remote Sensing Technology[J]. FOREST RESOURCES WANAGEMENT, 2018, (4): 100-104.

Figures/Tables 7

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优势树种组号	优势树种类型	样地数
L1	马尾松	34
L2	华山松	30
L3	油杉、杉木,水杉	29
L4	樟类、椴树、楠类、栎类、枫香等	30
L5	针阔混交	32
L6	毛竹	27
合计	—	182

树种组	拟合公式(HV)	r
L1马尾松	y=0.7012Ln(x)-18.561	0.629	y=0.2367Ln(x)-9.391	0.502
L2华山松	y=0.6273Ln(x)-19.527	0.573	y=0.2622Ln(x)-9.613	0.401
L3油杉、杉木,水杉	y=0.6958Ln(x)-18.864	0.535	y=0.2183Ln(x)-9.057	0.364
L4樟树、椴树等	y=0.7815Ln(x)-21.157	0.508	y=0.4155Ln(x)-10.531	0.299
L5针阔混交	y=0.6842Ln(x)-19.738	0.413	y=0.3631 Ln(x)-9.652	0.205
L6毛竹	y=0.472Ln(x)-17.528	0.672	y=0.1569Ln(x)-9.583	0.316

树种组	固定样地蓄积量估测 /(m³/hm²)	回归法蓄积量估测 /(m³/hm²)	相对均方根误差 /%
L1马尾松	143.861	157.367	13.67
L2华山松	138.429	147.364	15.32
L3油杉、铁坚杉等	128.268	139.274	16.01
L4樟树、椴树等	173.677	186.271	18.84
L5针阔混交	162.597	178.237	19.41
L6毛竹	126.781	140.352	14.13

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