芦苇地叶面积指数的遥感反演
陈 健1 , 倪绍祥1 , 李云梅1 , 李静静2
1.南京师范大学地理科学学院,南京210097; 2.山东科技大学信息工程学院,泰安271019
REMOTE SENSING LAI RETRIEVAL OF REED MARSH
CHEN Jian 1 , NI Shao-xiang 1 , LI Yun-mei 1 , LI Jing-jing 2
1.College of Geographical Science, Nanjing Normal University, Nanjing 210097, China; 2. College of Information Sci. & Eng., SUST, Taian 271019, China
摘要 叶面积指数(LAI)是植被冠层结构的一个重要参数,它的改变标志着植被发生了生物物理变化。本文提出了一种利用混和模型
从TM图像上获取叶面积指数的方法。首先,利用冠层反射率(FCR)模型计算并得到查找表; 然后,利用从查找表得到的统计关系进行
LAI制图。试验表明,该方法简单易行,并可较精确地用来反演芦苇地的叶面积指数。
Abstract :Leaf area index(LAI)is a crucial parameter of vegetation canopy structure and controls a number of
biophysical processes of vegetation. In this paper, a mixed model which combines the statistics model with the optical
model is presented to estimate LAI from Landsat-5 TM image data. Firstly, the model calculates and outputs a lookup
table (LUT) by useing of FCR model. and then, LAI mapping is conducted based on the empirical relations resulting from
the LUT. The results indicate that, being simple and easy to operate, the method can be used to estimate accurately
the LAI of reed marsh.
出版日期: 2009-07-31
基金资助: 国家自然科学基金项目(40371081)。
通讯作者:
陈健(1978 -),男,山东济宁人,地图学与GIS 专业博士研究生,主要从事遥感与GIS 应用研究。
引用本文:
陈健, 倪绍祥, 李云梅, 李静静. 芦苇地叶面积指数的遥感反演[J]. 国土资源遥感, 2005, 17(2): 20-23.
CHEN Jian, NI Shao-Xiang, LI Yun-Mei, LI Jing-Jing. REMOTE SENSING LAI RETRIEVAL OF REED MARSH. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(2): 20-23.
链接本文:
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2005.02.05
或
https://www.gtzyyg.com/CN/Y2005/V17/I2/20
Viewed
Full text
Abstract
Cited
Shared
Discussed