|本期目录/Table of Contents|

[1]康婷婷,居为民,李秉柏.水稻叶面积指数遥感反演方法对比分析[J].江苏农业科学,2015,43(05):366-371.
 Kang Tingting,et al.Contrastive analysis of remote sensing inversion method of rice leaf area index[J].Jiangsu Agricultural Sciences,2015,43(05):366-371.
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水稻叶面积指数遥感反演方法对比分析(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第43卷
期数:
2015年05期
页码:
366-371
栏目:
资源与环境
出版日期:
2015-05-25

文章信息/Info

Title:
Contrastive analysis of remote sensing inversion method of rice leaf area index
作者:
康婷婷1 居为民1 李秉柏2
1.南京大学国际地球系统科学研究所,江苏南京 210023; 2.江苏省农业科学院农业经济与信息研究所,江苏南京 210014
Author(s):
Kang Tingtinget al
关键词:
遥感叶面积指数水稻HJ-CCDMODIS/LAI产品反演方法
Keywords:
-
分类号:
S127
DOI:
-
文献标志码:
A
摘要:
利用环境星HJ-CCD影像与同步获取的LAI实测数据生成江苏省江淮之间西部和里下河地区水稻的30 m HJ/LAI,对MODIS/LAI数据产品和利用MODIS数据与4尺度几何光学模型反演的LAI数据集进行质量评价,结果表明,不同植被指数与研究区水稻LAI的相关性差别很大,其中GNDVI与水稻LAI的相关性最好,R2为0.72,估算精度达70.89%,而RMSE仅为1.38,适于该区水稻LAI的遥感估算;研究区MODIS/LAI和基于4尺度几何光学模型反演的LAI与HJ/LAI的变化趋势较为一致,均呈现出西南和东北部LAI值较低、北部和中部LAI值较高的特征,但MODIS/LAI和基于4尺度几何光学模型反演的LAI不仅变化范围较小,而且偏低明显,MODIS/LAI的低估现象更为严重;在1 km尺度上,MODIS/LAI和基于4尺度几何光学模型反演的LAI的精度分别为60.21%和66.56%,与HJ/LAI比较的R2分别为0.09和0.28(N=2 585),在0.01水平上显著相关。
Abstract:
-

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备注/Memo

备注/Memo:
收稿日期:2014-06-07
基金项目:全球变化重大科学研究计划(编号:2010CB950702);公益类行业(气象)专项(编号:GYHY201106027)。
作者简介:康婷婷(1989—),女,硕士,主要从事农作物生态遥感研究。E-mail:kangtingting.1989@163.com。
通信作者:居为民,教授。E-mail:juweimin@nju.edu.cn。
更新日期/Last Update: 2015-05-25