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RS支持下的小班蓄积估测

发表时间:2008-01-15  浏览量:2002  下载量:810
全部作者: 陈芸芝,汪小钦,凌飞龙,江洪
作者单位: 福州大学福建省空间信息工程研究中心,福州大学数据挖掘和信息共享教育部重点实验室
摘 要: 小班是森林资源生产经营管理的基本单位,蓄积量是小班调查最重要的因子。本文以TM原始波段、比值波段、雷达后向散射系数为主,结合高程、坡向等地理因子,通过变量优选的方法,筛选主要影响因子,估测小班平均蓄积量(以下简称蓄积量)。在蓄积量、郁闭度等重要因子方面实现以遥感数据为主要信息源的定量估测方法。结果表明,影响蓄积量的主要因子有:TM1、TM7/3、TM4×3/7、Sar00、Px1(阴坡)、Px2(阳坡)、幼龄林、坡度。小班平均蓄积量估测的总预报偏差相对误差为10%左右,通过实验证明了遥感数据在林业遥感定量估测方面存在的问题及潜力。
关 键 词: 地图学;蓄积量;遥感;小班
Title: Stock volume estimation of forest stand using RS
Author: CHEN Yunzhi,WANG Xiaoqin, LING Feilong, JIANG Hong
Organization: Spatial Information Research Center of Fujian Province, Key Lab of Spatial Data Mining 1 Sharing of Ministry of Education, Fuzhou University
Abstract: Forest stand is basic units of forest production and management, and stock volume is one of the most import factors of forest inventory at stand level. This article use the original six bands and some ratio bands of TM data, the backscatter efficient of ERS-2 SAR data as the main data, integrate with elevation,slope and so on, to construct the equation of volume estimation. The procedure includes the selection of the most important variables and estimation of stand’s volume. The result implied that the main factors include TM1,TM7/3,TM4×3/7, Sar00,aspect, age and slope. The accuracy of evaluation is about 10% in term of Overall Relative Error. Both problem and potential of forest quantitative estimation by RS are discussed.
Key words: cartology; stock volume; remote sensing; forest stand
发表期数: 2008年5月第1期
引用格式: 陈芸芝,汪小钦,凌飞龙,等. RS支持下的小班蓄积估测[J]. 中国科技论文在线精品论文,2008,1(1):63-67.
 
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