Study on the Remote Sensing Biomass Model of Shrubbery in Huangnan Region of Qinghai Province

doi:10.13466/j.cnki.lyzygl.2015.03.014

Abstract

Abstract: Based on the area normalized difference vegetation index from the remote sensing image and the investigation results of the forest inventory in Qinghai Province,ArcGIS and SPSS software are used for analyzing the quantitative relationship between NDVI and biomass of superiority species of shrubbery in Qinghai province and fitting the regression model between them.The results show that NDVI and the biomass of shrubbery have a significant correlation.The optimal models of fruticosa,seabuckthorn,salix oritrepha and rhododendron are respectively cubic function curve,power function curve,compound function curve and cubic function curve.

Key words: NDVI, remote sensing, shrubbery, biomass, Qinghai

CLC Number:

S718.5

ZHAO Chuanchuan, YU Jie. Study on the Remote Sensing Biomass Model of Shrubbery in Huangnan Region of Qinghai Province[J]. FOREST RESOURCES WANAGEMENT, 2015, (3): 65-69.

References 13

[1]	卢振龙,龚孝生.灌木生物量测定的研究进展[J].林业调查规划,2009,34(4):37-40.
[2]	胡会峰,王志恒,刘国华,等.中国主要灌丛植被碳储量[J].植物生态学报,2006,30(4):539-544.
[3]	王孝康,侯晓巍.我国的特殊灌木林资源[J].林业资源管理,2014(S0):13-16.
[4]	贾宝全,蔡体久,高志海,等.白刺灌丛沙包生物量的预测模型[J].干旱区资源与环境,2002,16(1):96-99.
[5]	党晓宏,高永,虞毅,等.沙棘经济林碳汇计量研究[J].水土保持通报,2011,31(6):134-138.
[6]	雷蕾,刘贤德,王顺利,等.祁连山高山灌丛生物量分配规律及其与环境因子的关系[J].生态环境学报,2011,20(11):1602-1607.
[7]	赵成义,宋郁东,王玉潮,等.几种荒漠植物地上生物量估算的初步研究[J].应用生态学报,2004,15(1):49-52.
[8]	巩文,巩垠熙,奚存娃,等.甘肃省灌木林资源碳储量估算及预测[J].林业资源管理,2014(3):87-90.
[9]	张培松,武伟,刘洪斌,等.基于MODIS影像对NDVI和EVI的分类研究[J].西南师范大学学报,2007,32(2):70-75.
[10]	王新云,郭艺歌,何杰.基于多源遥感数据的草地生物量估算方法[J].农业工程学报,2014,30(11):159-166.
[11]	毛德华,王宗明,罗玲,等.基于MODIS和AVHRR数据源的东北地区植被 NDVI变化及其与气温和降水间的相关分析[J].遥感技术与应用,2012,27(1):77-85.
[12]	孙彦坤,王鼎震.黑龙江省黑土区NDVI时空变化及其与气象因子相关性研究[D].哈尔滨:东北农业大学,2012.
[13]	宋春桥,柯灵红,游松财,等.基于TIMESAT的3种时序NDVI拟合方法比较研究[J].遥感技术与应用,2011,26(2):147-154.

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