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作 者:陈冬花[1,2] 邹陈[3] 李滨勇[4] 李虎[5] 张新时[2,6]
机构地区:[1]新疆维吾尔自治区卫星应用工程中心,乌鲁木齐830000 [2]北京师范大学资源学院,北京100875 [3]中国气象局乌鲁木齐沙漠气象研究所,乌鲁木齐830000 [4]国家海洋环境监测中心,大连116023 [5]福建师范大学地理科学学院,福州350007 [6]中国科学院植物研究所,北京100093
出 处:《北京师范大学学报(自然科学版)》2011年第3期321-325,共5页Journal of Beijing Normal University(Natural Science)
基 金:公益性科研院所基本科研业务资助(IDM201005);"资源与环境信息系统国家重点实验室"开放基金项目(2010KF0004SA);国防科技工业民用专项研究资助项目(2006A01A0200);新疆气象局科学技术研究与应用技术开发项目(201009);国家自然科学基金资助项目(41005059)
摘 要:基于遥感和地面调查数据,以新疆西天山巩留林区为研究区,提取不同龄级云杉林信息及简单比值植被指数、归一化植被指数及其他植被指数共18种,研究云杉林生物量与各指数的相关性.研究结果表明:总体(全林分)生物量与各植被指数关系相关拟合都比分龄级的低,分龄级研究生物量与植被指数关系能够达到较好的结果;各龄级云杉林生物量大多与简单比值指数中的ITM4/3和归一化指数INDV相关性较高,其中幼龄林的生物量与ITM4/3相关性最强,其相关系数达-0.794;中龄林的生物量与INDV、转换型指数ITV具有最高的相关性,其相关系数为0.506,与图象转换指数IVISI123呈很高的负相关,相关系数达-0.506;近熟林生物量与ITM4/3具有最高的相关性,相关系数达到0.647;成熟林生物量与ITM4/3、INDV及其ITV具有最高的相关性,相关系数达0.532;过熟林生物量与ITM4/3具有最高的相关性,相关系数达到0.715.Remote sensing and forest resource survey data were used to extract age class information for Picea schrenkiana var. tianshanica. Eighteen vegetation indices were selected to describe relationship between age class biomass and ratio vegetation index, the ratio of normalized vegetation index, and other vegetation indices in western Tianshan mountain region of Gongliu in Xinjiang. Data indicated that the correlation coefficient between overall biomass and vegetation indices is lower than correlation coefficient between age-class biomass and vegetation indices. It can therefore achieve better results to study the relationship between age class biomass and vegetation indexes. Biomass of each age class Picea schrenleiana forest was more correlated to IN1)V and I'I'M4/3 in all vegetation indexes. Young forest biomass and ITM4/3 is most correlated, with correlation coefficient of --0. 794. Middle-age forest biomass and INDV, ITV was most correlated, with a correlation coefficient of 0. 506. Middleage forest biomass and /wsn23 also showed correlation, the correlation coefficient was --0. 506. Near mature forest biomass and ITM4/3 showed correlation, the correlation coefficient being at 0. 647. Mature forest biomass and ITTM4/a, INDV and ITV showed correlation, the correlation coefficient was 0. 532. Excessive mature forest biomass and ITM4/3 showed correlation, correlation coefficient was 0. 715. Correlation between biomass and vegetation index has important theoretical meaning and great practical value for effectively monitoring biomass using remote sensing data.
分 类 号:S763[农业科学—森林保护学]
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