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当前位置: 首页 > 文章 > 天山西部云杉林生物量与遥感地学数据相关性分析 新疆农业科学 2011,48 (8) 1475-1480+1569
Position: Home > Articles > Correlation Analysis of Picea Schrenkiana var.tianshanica Biomass and Remote Sensing Geographic Data Xinjiang Agricultural Sciences 2011,48 (8) 1475-1480+1569

天山西部云杉林生物量与遥感地学数据相关性分析

作  者：
黄新利;马江林;陈冬花
单  位：
新疆卫星应用工程中心;新疆尼勒克林场
关键词：
云杉林;生物量;遥感地学数据
摘  要：
【目的】探讨生物量与遥感地学数据之间的相关性为森林植被生物量遥感动态监测研究奠定基础。【方法】以新疆天山云杉林幼龄林、中龄林、近熟林、成熟林和过熟林的生物量及其对应环境星数据与其派生数据、气象数据、地形数据之间的相关性进行分析。【结果】分龄级比不分龄级的条件下,生物量与各因子团的相关性都有所提高,尤其是幼龄林、近熟林、成熟林和过熟林体现的较明显。【结论】林分生物量与水热因子中的平均气温、最高气温、最低气温、降水等因子有较高相关性;与地形因子中海拔、坡度具有较高相关性,与遥感因子中B3在0.05的水平上显著,而与其它因子在这个水平上相关不显著。在水热因子中,幼龄林、近熟林生物量与平均气温、最高气温、最低气温有较高相关性,成熟林、过熟林生物量与水热因子中的平均气温有较高相关性;在遥感因子中,幼龄林生物量与遥感因子中B2有较高相关性,中龄林生物量与DVI、EVI有较高相关性,其他龄级生物量与NDVI、RVI有较高相关性;在地形因子中,幼龄林和近熟林生物量与地形因子中的海拔具较高相关性,成熟林和过熟林生物量与地形因子中DEM分级具有较高相关性,中龄林与地形因子相关性不高;在森林特征因子中,过熟林生物量与年龄有较高的相关性,其他龄级相关性不高。
译  名：
Correlation Analysis of Picea Schrenkiana var.tianshanica Biomass and Remote Sensing Geographic Data
作  者：
HUANG Xin - li~1,MA Jiang - Lin~2,CHEN Dong - hua~1, (1.Xinjiang Satellite Application Engineering Center,Urumqi 830002,China;2.Forestry Centre of Nileke,Ili Xinjiang 835700,China)
关键词：
Picea Schrenkiana var.tianshanica;;biomass;;remotely sensed geographic data
摘  要：
[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.

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