基于HJ-1A CCD1数据的台湾相思树叶面积指数反演

doi:10.3724/SP.J.1047.2014.00645

地球信息科学学报 ›› 2014, Vol. 16 ›› Issue (4): 645-652.doi: 10.3724/SP.J.1047.2014.00645

基于HJ-1A CCD1数据的台湾相思树叶面积指数反演

刘玉琴^1,²(), 孟庆岩^2,^3**(), 沙晋明¹, 石锋¹, 刘苗², 王春梅²

1. 福建师范大学地理科学学院,福州 350007
2. 中国科学院遥感与数字地球研究所,北京 100101
3. 国家航天局航天遥感论证中心,北京 100101

收稿日期:2013-07-25 修回日期:2013-09-14 出版日期:2014-07-10 发布日期:2014-07-10
作者简介:
作者简介：刘玉琴(1989-),女,福建泉州人,硕士生,主要从事遥感与地理信息建模研究。E-mail：liuyq0202@sina.cn
基金资助:
国家国际科技合作专项资助(2010DFA21880);广东省省院产学研合作资金资助(2012B091100219);欧盟第七框架项目(FP7-PEOPLE-2009-IRSES-IGIT);高分辨率对地观测系统重大专项(09-Y030B03-9001-13/15)

Comparison of Different Methods for Retrieving Acacia Rachii Leaf Area Index Based on HJ-1A CCD1 Imagery

LIU Yuqin^1,²(), MENG Qingyan^2,^3*(), SHA Jinming¹, SHI Feng¹, LIU Miao², WANG Chunmei²

1. Colledge of Geography, Fujian Normal University, Fuzhou 350007, China
2. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China
3. The Center for National Spaceborne Demonstration, CNSA, Beijing 100101, China

Received:2013-07-25 Revised:2013-09-14 Online:2014-07-10 Published:2014-07-10
About author:
*The author: CHEN Nan, E-mail：fjcn99@163.com

摘要/Abstract

摘要：

基于HJ-1A CCD1环境卫星数据,以福建沿海地区普遍分布的台湾相思树为研究对象,利用回归分析法(NDVI、OSAVI、EVI、HJVI)和PROSAIL辐射传输模型,构建台湾相思树LAI反演模型。同时,利用同步野外地面实测数据,将模型估算LAI值与实测LAI值进行对比。结果表明：(1)相比归一化植被指数NDVI、优化土壤调节指数OSAVI和增强型植被指数EVI 3种常用植被指数,引入修正大气、土壤背景影响的蓝、绿波段的环境植被指数HJVI来反演相思树LAI具有更高的精度(R²=0.7344,RMSE=0.1421);(2)本研究所选4种植被指数构建的最优反演模型均为非线性模型,其中,环境植被指数HJVI反演LAI最优模型为幂函数模型,表明相思树LAI与植被指数之间呈非线性变化;(3)PROSAIL辐射传输模型法比回归分析法反演相思树LAI的精度有较大提高(R²=0.7903,RMSE=0.1303),可见PROSAIL模型法构建反演模型能更好地反演相思树LAI。

关键词: 台湾相思树, 回归分析, PROSAIL模型, 反演精度, LAI

Abstract:

With Acacia Rachii (Acacia confusa) grown in coastal region in Fuzhou as research object, and based on HJ-1A CCD1 imagery which was acquired from China Center for Resource Satellite Data and Applications, the Acacia Rachii LAI was monitored in field using LAI-2000 canopy analysis system, and two kinds of universal LAI inversion methods through regression analysis method and radiative transfer model PROSAIL model separately were introduced and used in this study. The simulation precisions for different models were analyzed and evaluated through comparing the simulated LAI and measured LAI. Further, we compared the research output with those of previous researchers. The results showed that: (1) Compared with the three vegetation indices (NDVI, EVI and OSAVI), HJVI vegetation index performed best in Acacia Rachii LAI inversion among all of the vegetation indices with R²=0.7344 and RMSE=0.1421, which introduced blue band and green band in order to weaken the effects of atmosphere and soil; (2) The optimal inversion models of the above four vegetation indices all were non-linear models, and the optimal regression model for Acacia Rachii LAI inversion based on vegetation indices was the power regression model of HJVI, indicating that there existed non-linear relationships between Acacia Rachii LAI and vegetation indices; (3) There had obvious improvement in the precision of LAI inversion through PROSAIL model compared with regression analysis method based on vegetation indices with R²=0.7903 and RMSE=0.1303, which indicated that PROSAIL model could better estimate Acacia Rachii LAI than regression analysis method to some extent. Therefore, radiative transfer model such as PROSAIL used to construct the inversion model is feasible. It could reflect ground condition better and possesses higher application value and broad application prospect.

Key words: Acacia Rachii, regression analysis, PROSAIL model, inversion accuracy, LAI

刘玉琴, 孟庆岩, 沙晋明, 石锋, 刘苗, 王春梅. 基于HJ-1A CCD1数据的台湾相思树叶面积指数反演[J]. 地球信息科学学报, 2014, 16(4): 645-652.DOI:10.3724/SP.J.1047.2014.00645

LIU Yuqin,MENG Qingyan,SHA Jinming,SHI Feng,LIU Miao,WANG Chunmei. Comparison of Different Methods for Retrieving Acacia Rachii Leaf Area Index Based on HJ-1A CCD1 Imagery[J]. Journal of Geo-information Science, 2014, 16(4): 645-652.DOI:10.3724/SP.J.1047.2014.00645

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参考文献 26

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模型	参数	变量符号	单位
PROSPECT	叶片内部结构参数	N	--
	叶绿素ab含量	C_ab	μg/cm²
	类胡萝卜素含量	C_ar	μg/cm²
	叶片等效水厚度	C_w	cm
	叶片干物质含量	C_m	g/cm²
	棕色荧光成分含量	C_brown	--
SAIL	叶面积指数	LAI	--
	叶倾角分布函数	LIDF	--
	热点参数	S_L	--
	土壤光谱反射率	ρ_S	--
	散射在总入射辐射中的比例	SKYL	--
	太阳天顶角	θ_S	°
	观测天顶角	θ_V	°
	太阳-观测相对方位角	φ_SV	°

植被指数	关系模型	R²	SD
NDVI	y = 8.252x-2.0143	0.3129	0.0465
	y = 0.5983e^2.6479x	0.3169	0.0326
	y = 5.1686ln(x) + 5.5747	0.3125	0.0665
	y = 6.832x^1.6585	0.3165	0.0403
EVI	y = 9.5691x + 0.3531	0.5711	0.0182
	y = 1.2827e^3.0607x	0.5747	0.0193
	y = 2.9318ln(x) + 6.7621	0.5911	0.1745
	y = 9.9656x^0.9379	0.5951	0.0167
OSAVI	y = 9.2555x-0.7694	0.4734	0.0281
	y = 0.8936e^2.9662x	0.4783	0.0244
	y = 3.9867ln(x) + 6.5795	0.4775	0.1180
	y = 9.4198x^1.2778	0.4826	0.0220
HJVI	y = 9.1546x + 0.347	0.6231	0.0181
	y = 1.2779e^2.934x	0.6296	0.0192
	y = 2.9303ln(x) + 6.6249	0.6481	0.1741
	y = 9.5567x^0.9391	0.6548	0.0166

基于HJ-1A CCD1数据的台湾相思树叶面积指数反演

Comparison of Different Methods for Retrieving Acacia Rachii Leaf Area Index Based on HJ-1A CCD1 Imagery

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作者	遥感数据源	最优指数	最优模型	算法类别	地物类型
陈雪洋	环境星CCD	RVI	对数模型	回归分析法	冬小麦
陈鹏飞	环境星CCD	EVI	一元一次模型	回归分析法	草地
尹芳	HSI高光谱	MSAVI	幂函数模型	回归分析法	草地
张竞成	环境星CCD、TM	GNDVI、BNDVI	指数模型	回归分析法	水稻
赵虎	环境星CCD	EVI、SAVI	对数模型、一元一次模型	回归分析法	冬小麦
张瀛	环境星CCD	HJVI	多项式模型	回归分析法	冬小麦
夏天	冬小麦冠层光谱	NDVI	幂函数模型	回归分析法	冬小麦
李淑敏	MODIS、ASTER		PROSAIL模型	PROSAIL模型、回归分析法	冬小麦
Roshanak	Hyperspectral Imagery		PROSAIL模型	PROSAIL模型、回归分析法	草地

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