[1]何磊,唐姝娅,苗放,等.岷江上游典型流域叶面积指数的遥感模型及反演[J].水土保持研究,2010,17(01):218-221.
　HE Lei,TANG Shu-ya,MIAO Fang,et al.Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver[J].Research of Soil and Water Conservation,2010,17(01):218-221.
点击复制

岷江上游典型流域叶面积指数的遥感模型及反演

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 17 期数: 2010年01期 页码: 218-221 栏目: 出版日期: 2010-02-20
Title:
Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver
作者:
何磊1, 唐姝娅2, 苗放1, 李玉霞3
1. 成都理工大学地球科学学院, 成都, 610059;
2. 四川省地震局减灾救助研究所, 成都, 610041;
3. 电子科技大学地表空间信息技术研究所, 成都, 610054
Author(s):
HE Lei1, TANG Shu-ya2, MIAO Fang1, LI Yu-xia3
1. College of Earth Science, Chengdu University of Technology, Chengdu, 610059, China;
2. Institute of Relief Disaster Reduction, Sichuan Earthquake Administration, Chengdu, 610041, China;
3. Institute of Geo-Spatial Information Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
关键词:
遥感反演; 植被指数; 植被覆盖度; 空间分析
Keywords:
remote sensing inversion; vegetation coverage; vegetation index(Ⅵ); spatial analysis
分类号:
S314;TP79
摘要:
叶面积指数是植被定量遥感的重要参数,区域的时序列叶面积指数揭示了区域生态的演化过程,反演方法上主要是通过植被指数建立相关模型实现的,对于不同地区或不同气候带而言,模型的通用性以及各种植被指数在模型中的灵敏度都需做进一步探讨.以岷江上游典型流域毛儿盖地区为研究区,综合利用Aster和ETM遥感数据、地面实测数据和常规观测数据等资料,研究了植被指数与叶面积指数之间的相关性,以遥感图像中单个像元作为测算单位,对岷江上游毛儿盖地区叶面积指数进行了反演.利用研究区实测数据、生态环境本底遥感调查数据和水文气象数据,对上述模型反演结果进行验证和精度分析.结果表明,归一化植被指数NDVI在反演叶面积指数模型中具有较高的灵敏度,能较真实地反映研究区叶面积指数实际状况.
Abstract:
Leaf Area Index(LAI) is the main parameter in quantifying vegetation by means of remote sensing.The temporal variation in LAI is indicative of the evolution process of regional ecology.Vegetation index(VI) has been used widely formodeling vegetation.The applicability of the established models is subject to the local climate in different regions.It is thusnecessary to examine how the derived VI reacts to the change in climate.The paper constructs leaf area indexmodels in the typical area of minjiang valley upriver,based on the measuring and exploring in the field and research on the orientation observation,by utilizing the ETM and ASTER remote sensing data,measured data and routine observation data.Studying the relevance between vegetation index and leaf area index,it makes one pixel of the remote sensing images as the calculating unit,and calculates the vegetation index,then inverses leaf area indexin the Maoergai region of minjiang valley.Using the measured data in the research area,the remote sensing data in the ecosystem and the hydrometeor data,the paper validates and analyzes precisely the remote sensing inversion result about the model.The results show that the precision of the inversion model is better,which can reflect the true condition of the leaf area index in the research area.

参考文献/References:

[1] 惠凤鸣,田庆久,金震宇,等.植被指数与叶面积指数关系研究及定量化分析[J].遥感信息,2003,45(2):10-13.
[2] 李开丽,蒋建军,茅荣正,等.植被叶面积指数遥感监测模型[J].生态学报,2005,25(6):1491-1496.
[3] 方秀琴,张万昌.叶面积指数LAI的遥感定量方法综述[J].国土资源遥感,2003,57(3):58-62.
[4] 李玉霞.岷江上游毛儿盖地区生态水信息指标参数遥感量化研究[D].成都:成都理工大学,2007.
[5] 顾祝军,曾志远.遥感植被盖度研究[J].水土保持研究,2005,12(4):18-21.
[6] Qi J,Kerr Y H,Moran M S,et al.Leaf Area Index Estimates Using Remotely Sensed Data and BRDF Models in a Semiarid Region[J].Remote Sensing of Environment,2000,73:18-30.

相似文献/References:

[1]杨勤科,罗万勤,马宏斌,等.区域水土流失植被因子的遥感提取[J].水土保持研究,2006,13(05):267.
　YANG Qing-ke,LUO Wan-qin,MA Hong-bin,et al.NDVI Extraction of Regional Soil Erosion Based on Remate Sensing[J].Research of Soil and Water Conservation,2006,13(01):267.
[2]马驰,卢玉东.重庆南部TM图像植被指数与植被覆盖度信息的关系研究[J].水土保持研究,2008,15(06):136.
　MA Chi,LU Yu-dong.The Correlation Between Percentage of Vegetation Cover and Normalized Difference Vegetation Index in the South of Chongqing City[J].Research of Soil and Water Conservation,2008,15(01):136.
[3]王耿明,李达,王忠忠,等.松辽平原盐碱土含盐量的遥感反演研究[J].水土保持研究,2009,16(03):235.
　WANG Geng-ming,LI Da,WANG Zhong-zhong,et al.Research on Remote Sensing Inversion of Salt Content in Saline-alkali Soil in Songliao Plain[J].Research of Soil and Water Conservation,2009,16(01):235.
[4]张佳,温仲明,杨尚斌.基于自然植被的延河流域生物量空间分布格局评估[J].水土保持研究,2010,17(03):35.
　ZHANG Jia,WEN Zhong-ming,YANG Shang-bin.Spatial Distribution Evaluation of Biomass in Yanhe River Catchment Using Natural Ecosystem as a Reference[J].Research of Soil and Water Conservation,2010,17(01):35.
[5]马延辉,林辉,孙华.湖南省主要森林类型植被指数动态变化分析[J].水土保持研究,2010,17(03):217.
　MA Yan-hui,LIN Hui,SUN Hua.Variation Analysis of Different Forest Types Vegetation Index in HU’nan Province[J].Research of Soil and Water Conservation,2010,17(01):217.
[6]赵广敏,李晓燕,李宝毅.基于地表温度和植被指数特征空间的农业干旱遥感监测方法研究综述[J].水土保持研究,2010,17(05):245.
　ZHAO Guang-min,LI Xiao-yan,LI Bao-yi.An Overview on Agricultural Drought Montoring Methods Based on Land Surface Temperature and Vegetation Index Feature Space[J].Research of Soil and Water Conservation,2010,17(01):245.
[7]陆广勇,杨勤科,王海江.基于MODIS-NDVI时序数据的黄土丘陵区土地覆盖分类研究[J].水土保持研究,2011,18(02):112.
　LU Guang-yong,YANG Qin-ke,WANG Hai-jiang.Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data[J].Research of Soil and Water Conservation,2011,18(01):112.
[8]刘倩楠,欧阳志云,李爱农,等.重庆市森林植被生物量和碳储量的空间分布特征研究[J].水土保持研究,2016,23(06):221.
　LIU Qiannan,OUYANG Zhiyun,LI Ainong,et al.Study on Spatial Differentiation Characteristics of Forest Vegetation Biomass and Carbon Stock in Chongqing City[J].Research of Soil and Water Conservation,2016,23(01):221.
[9]王蕾钦,王飞,李朋飞.相似降水年组下黄土高原植被恢复与土壤水分变化过程与空间特征分析[J].水土保持研究,2017,24(06):179.
　WANG Leiqin,WANG Fei,LI Pengfei.Relationships Between Vegetation Restoration and Soil Moisture on the Loess Plateau[J].Research of Soil and Water Conservation,2017,24(01):179.
[10]张巧凤,刘桂香,于红博,等.锡林郭勒草原蒸散发月季动态及相关因子分析[J].水土保持研究,2017,24(03):164.
　ZHANG Qiaofeng,LIU Guixiang,YU Hongbo,et al.Monthly and Seasonal Dynamics of ET in Xilingol Steppe and Related Factors Analysis[J].Research of Soil and Water Conservation,2017,24(01):164.

备注/Memo

收稿日期:2009-7-31。
基金项目:国家自然基金项目(60841006);四川省青年基金项目(09ZQ026-058)
作者简介:何磊(1978- ),男,河南省太康县人,硕士,主要从事地图学与地理信息系统.E-mail:helei197811@yahoo.cn

更新日期/Last Update: 1900-01-01