新疆农业科学2011，Vol.48Issue(8)：1475-1480,6.
天山西部云杉林生物量与遥感地学数据相关性分析
Correlation Analysis of Picea Schrenkiana var.tianshanica Biomass and Remote Sensing Geographic Data
摘要
Abstract
[ Objective ] This paper analyses the correlations between the biomass of Picea Schrenkiana var. Tianshanica and remotely sensed geographic data. [Method]Taking Picea Schrenkiana var. Tianshanica of Xinjiang for example, the paper analyses the corresponding correlation of all stand, young stand, halfmature stand, near mature stand, mature stand and overmature stand forest between biomass and HJ - 1 data, derived data, meteorological data and the terrain data. [ Result] The research shows that biomass of all stand has high correlation with the average temperature, the highest temperature, the lowest temperature, precipitation in hot water distribution factors; it has high correlation with altitude and slope in terrain factors; it has high correlation with B3 in remote sensing factors, and the correlation with other factors are not sufficiently significant. In hot water distribution factors, the young stand and near mature stand have high correlation with the average temperature, the highest temperature, the lowest temperature; the biomass of mature stand and overmature stand have high correlation with the average temperature; In remote sensing factors, the biomass of young stand has high correlation with B2; halfmature stand has high correlation with DVI and EVI; other stands biomass has high correlation with NDVI, RVI; In terrain factors, the young stand and near mature stand have high correlation with altitude, the biomass of mature stand and overmature stand have high correlation with DEM grading, halfmature stand has little correlation with terrain factors. In forest characteristic factors, overmature stand biomass has high correlation with forest age, other stands of forest has little correlation with forest characteristic factors. After dividing the stands, biomass with every factor' s correlation is high, especially young stand, near mature stand, mature stand and overmature stand forest.关键词
云杉林/生物量/遥感地学数据Key words
Picea Schrenkiana var. Tianshanica/ biomass/ remotely sensed geographic data分类
农业科技引用本文复制引用
黄新利,马江林,陈冬花..天山西部云杉林生物量与遥感地学数据相关性分析[J].新疆农业科学,2011,48(8):1475-1480,6.基金项目
新疆维吾尔自治区科技攻关和重点科技项目(200733115) （200733115）
资源与环境信息系统国家重点实验室开放基金项目(2010KF0004SA) （2010KF0004SA）
国防科技工业民用专项科研技术研究项目(2006A01A0200) （2006A01A0200）
