中南林业调查规划
中南林業調查規劃
중남임업조사규화
CENTRAL SOUTH FOREST INVENTORY AND PLANNING
2011年
4期
53-55
,共3页
巨尾按%蓄积量%遥感估测%模型
巨尾按%蓄積量%遙感估測%模型
거미안%축적량%요감고측%모형
Eucalyptus grandis × E. urophyUa%stock volume%remote sensing estimation%model
蓄积量是森林资源监测的一项重要指标,蓄积量遥感估测一直是林业遥感研究的重要内容。本文采用ALOS数据为遥感信息源,以广西自治区平南县优势树种巨尾桉为研究对象,分析选取影响巨尾按蓄积量估测主要的遥感信息和地理信息因子,结合郁闭度实地调查因子,建立了巨尾桉蓄积量估测模型,模型精度达91.18%。
蓄積量是森林資源鑑測的一項重要指標,蓄積量遙感估測一直是林業遙感研究的重要內容。本文採用ALOS數據為遙感信息源,以廣西自治區平南縣優勢樹種巨尾桉為研究對象,分析選取影響巨尾按蓄積量估測主要的遙感信息和地理信息因子,結閤鬱閉度實地調查因子,建立瞭巨尾桉蓄積量估測模型,模型精度達91.18%。
축적량시삼림자원감측적일항중요지표,축적량요감고측일직시임업요감연구적중요내용。본문채용ALOS수거위요감신식원,이엄서자치구평남현우세수충거미안위연구대상,분석선취영향거미안축적량고측주요적요감신식화지리신식인자,결합욱폐도실지조사인자,건립료거미안축적량고측모형,모형정도체91.18%。
The stock volume is an important indicator in forest resources monitoring, how to estimate forest stock volume by remote sensing had been an important part of remote sensing study. In this paper, the main dependent variables of remote sensing and geographic information which influencing stock volume estimation of Eucalyptus grandis × E. urophylla were analyzed in Pingnan county of Guanxi province, then the estimation model of Eucalyptus grandis × E. urophylla stock volume was established based on ALOS data combined with the crown density, the prediction precision was 91.18%.