基于遥感地学模型的辽宁省森林生物量和碳储量估测

林业资源管理 ›› 2011›› Issue (1): 100-105.

基于遥感地学模型的辽宁省森林生物量和碳储量估测

王雪军^1,2, 孙玉军¹

1.北京林业大学省部共建森林培育与保护教育部重点实验室,北京 100083;
2.国家林业局调查规划设计院,北京 100714

收稿日期:2010-06-21 修回日期:2011-01-10 出版日期:2011-02-28 发布日期:2020-12-16
通讯作者: 孙玉军(1963-),男,教授,博士,主要从事森林资源与环境监测研究。Email:sunyj@bjfu.edu.cn
作者简介:王雪军(1977-),男,浙江新昌人,高工,主要从事森林资源监测、遥感地理信息系统应用的研究。Email:wangxuejun320@126.com
基金资助:
国家自然科学基金"基于树木生长的人工落叶松林碳储量模型"(30940014);国家自然科学基金"基于森林资源清查的碳循环规律研究"(30571492);高等学校博士学科点专项科研基金"基于树木生长的森林碳储量模型"(20060022009);国家林业局948项目(引进国际先进林业科学技术项目)"森林碳储量监测关键技术引进"(2008-4-48)

Study on Forest Biomass and Carbon Sequestration Survey in Liaoning Province Based on RS and Genomic Models

WANG Xuejun^1,2, SUN Yujun¹

1. The Key Lab. for Forest Silviculture and Conservation of Ministry of Education,Beijing For.Univ.,Beijing 100083,China;
2. Academy of Forest Inventory and planning,State Forestry Administration,Beijing 100714,China

Received:2010-06-21 Revised:2011-01-10 Online:2011-02-28 Published:2020-12-16

摘要/Abstract

摘要： 通过对森林植被生物量估测遥感模型机理的综合分析,采用2005年辽宁省森林资源连续清查部分样地数据,基于遥感及其派生信息、气象信息、地学信息、林分信息建立了估测森林植被生物量的多元回归模型。得出如下结论:1)根据与样地生物量相关性的高低对MODIS数据植被指数(NVDI)的排序为植被指数的年平均值(NVDI_AVER)、植被生长季节的植被指数的平均值(NVDI_AMD)、植被指数的年内最大值(NVDI_MAX)、植被指数的年内最小值(NVDI_MIN)、植被指数的年内最大值与最小值之间的差值(NVDI_CHA);与生物量相关的气象因子分别为相对蒸散、平均气温和＞10℃的积温,其相关系数分别为0.422,0.399和0.394;生物量与坡向、纬度相关性不显著。2)辽宁省森林总生物量为255.774×10⁶t,森林碳储量为127.887×10⁶t。3)从辽宁省森林碳密度空间分布来看,辽宁省森林碳密度呈现出东高西低的趋势,并且碳密度总体上不高,为50t/hm²以下。

关键词: 生物量, 碳储量, 植被指数, 回归模型, MODIS

Abstract: The mechanism of RS model of forest biomass and carbon sequestration is analysed in the paper.Using the 7th continuous forest inventory plot data in Liaoning Province in the year of 2005 and computing the correlative coefficient between ground data and RS data,derivative,meteorological,genomic and stand information,the multivariate regression models are built and analysed.The results show that:(1)There are significant correspondences between biomass and NVDIs,in which the top-down rank is NVDI_AVER,NVDI_AMD,NVDI_MAX,NVDI_MIN,NVDI_CHA in their correlative coefficients with biomass separately.The meteorological factors that have significant correspondences with the biomass are relative evaporation,average temperature and total temperature(>10°C),the coefficients are 0.422,0.399,and 0.394 respectivly.The correlative coefficient of topography data is obvious except slope and latitude;(2)Estimation of forest biomass is 255.774 ×10⁶ t and carbon reserve is 127.887×10⁶t by the RS &genomic model in Liaoning province;(3)Carbon density is not high overall,the average is smaller than 50t/hm²,the density is higher in the east than west in spacial distribution in Liaoning province.

Key words: forest biomass, carbon sequestration, NDVI, regression model, MODIS

中图分类号:

TP79
S711.8

王雪军, 孙玉军. 基于遥感地学模型的辽宁省森林生物量和碳储量估测[J]. 林业资源管理, 2011,(1): 100-105.

WANG Xuejun, SUN Yujun. Study on Forest Biomass and Carbon Sequestration Survey in Liaoning Province Based on RS and Genomic Models[J]. FOREST RESOURCES WANAGEMENT, 2011,(1): 100-105.

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