光谱学与光谱分析 |
|
|
|
|
|
The Study of LAI Estimation Using a New Vegetation Index Based on CHRIS Data |
WANG Li-juan, NIU Zheng*, HOU Xue-hui, GAO Shuai |
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China |
|
|
Abstract Leaf area index (LAI) is an important structural parameter of vegetation canopy, the correct estimation of which has been the focus in the remote sensing community. As a kind of hyperspectral and multi-angle remote sensing data with higher resolution (17 m), PROBA/CHRIS has significant application value in LAI inversion. In the present paper, the analytical two-layer canopy reflectance model (ACRM) was used to simulate a series of reflectances with different LAI values. Based on this, a new vegetation index was built and successfully applied to LAI inversion of PROBA/CHRIS image data. Our results indicated that: compared with the spectral index NDVI and multi-angle index HDS, the new index could make better use of spectrum and multi-angle messages and have a better correlation with LAI of the study area; moreover, the correlation coefficient R2 reached up to 0.734 7. And in order to obtain the figure of LAI distribution of the study area, we used the optimal fit equation between LAI and HDVI to estimate LAI, and the accuracy of the RMSE was 0.619 8.
|
Received: 2012-08-27
Accepted: 2012-11-05
|
|
Corresponding Authors:
NIU Zheng
E-mail: niuz@irsa.ac.cn
|
|
[1] Chen J M,Cihlar J. Remote Sensing and Environment, 1996, 55: 153. [2] Kouiti H, Hiroshi M, Hayato T. Remote Sensing of Environment, 2009, 114: 514. [3] Zhao F, Gu X F, Verhoef W. Remote Sensing of Environment, 2009, 114: 265. [4] Schlerf M, Atzberger C, Vohland M. EARSele Proceeding, 2004, 3(3): 405. [5] Houborg R, Soegaard H, Boegh E. Remote Sensing of Environment, 2007, 106: 39. [6] YANG Gui-jun, HUANG Wen-jiang, WANG Ji-hua, et al(杨贵军, 黄文江, 王纪华,等). Bulletin of Botany(植物学报), 2010, 45 (5): 566. [7] David G, Dyka H. IEEE International, 2005, 5(7): 3557. [8] LI Xin-hui, SONG Xiao-ning, LENG Pei(李新辉,宋小宁,冷 佩). Remote Sensing for Land & Resources(国土资源遥感),2011, 3: 61. [9] Kuusk A. Journal of Quantitative Spectroscopy and Radiative Transfer, 2001, 71: 1. [10] LI Xiao-wen, GAO Feng, WANG Jin-di(李小文, 高 峰, 王锦地). Progress in Natural Science: Materials International(自然科学进展), 2001, 8: 819. [11] LIANG Shou-zhen, SHI Ping, ZHOU Di(梁守真, 施 平, 周 迪). Remote Sensing Information(遥感信息), 2011, 1: 22. [12] Lacaze R, Chen J M, Roujean J. Remote Sensing of Environment, 2002, 79: 84. [13] ZHAO Ying-shi(赵英时). The Principle and Method of Analysis of Remote Sensing Application(遥感应用分析原理与方法). Beijing:Science Press(北京: 科学出版社), 2003, 374. [14] Haboudane D, John R, Millear J R. Remote Sensing of Environment, 2002, 81: 416. [15] Wu C, Niu Z, Tang Q. Agricultural and Forest Meteorology, 2008, 148: 1230. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[2] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
[3] |
ZHU Wen-jing1, 2,FENG Zhan-kang1, 2,DAI Shi-yuan1, 2,ZHANG Ping-ping3,JI Wen4,WANG Ai-chen1, 2,WEI Xin-hua1, 2*. Multi-Feature Fusion Detection of Wheat Lodging Information Based on UAV Multispectral Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 197-206. |
[4] |
LIANG Shou-zhen1, SUI Xue-yan1, WANG Meng1, WANG Fei1, HAN Dong-rui1, WANG Guo-liang1, LI Hong-zhong2, MA Wan-dong3. The Influence of Anthocyanin on Plant Optical Properties and Remote Sensing Estimation at the Scale of Leaf[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 275-282. |
[5] |
HUANG You-ju1, TIAN Yi-chao2, 3*, ZHANG Qiang2, TAO Jin2, ZHANG Ya-li2, YANG Yong-wei2, LIN Jun-liang2. Estimation of Aboveground Biomass of Mangroves in Maowei Sea of Beibu Gulf Based on ZY-1-02D Satellite Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3906-3915. |
[6] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
[7] |
ZHENG Shu-yuan1, 2, HAI Yan1, 2, HE Meng-qi1, 2, WANG Jian-xiong1, 2. Construction of Vegetation Index in Visible Light Band of GF-6 Image With Higher Discrimination[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3509-3517. |
[8] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
[9] |
CUI Zhen-zhen1, 2, MA Chao1, ZHANG Hao2*, ZHANG Hong-wei3, LIANG Hu-jun3, QIU Wen2. Absolute Radiometric Calibration of Aerial Multispectral Camera Based on Multi-Scale Tarps[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3571-3581. |
[10] |
TAO Jing-zhe1, 3, SONG De-rui1, 3, SONG Chuan-ming2, WANG Xiang-hai1, 2*. Multi-Band Remote Sensing Image Sharpening: A Survey[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2999-3008. |
[11] |
FU Xiao-man1, 2, BAO Yu-long1, 2*, Bayaer Tubuxin1, 2, JIN Eerdemutu1, 2, BAO Yu-hai1, 2. Spectral Characteristics Analysis of Desert Steppe Vegetation Based on Field Online Multi-Angle Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3170-3179. |
[12] |
CHEN Hao1, 2, WANG Hao3*, HAN Wei3, GU Song-yan4, ZHANG Peng4, KANG Zhi-ming1. Impact Analysis of Microwave Real Spectral Response on Rapid Radiance Simulation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3260-3265. |
[13] |
WANG Lin, WANG Xiang*, ZHOU Chao, WANG Xin-xin, MENG Qing-hui, CHEN Yan-long. Remote Sensing Quantitative Retrieval of Chlorophyll a and Trophic Level Index in Main Seagoing Rivers of Lianyungang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3314-3320. |
[14] |
FENG Hai-kuan1, 2, YUE Ji-bo3, FAN Yi-guang2, YANG Gui-jun2, ZHAO Chun-jiang1, 2*. Estimation of Potato Above-Ground Biomass Based on VGC-AGB Model and Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2876-2884. |
[15] |
JIN Chun-bai1, YANG Guang1*, LU Shan2*, LIU Wen-jing1, LI De-jun1, ZHENG Nan1. Band Selection Method Based on Target Saliency Analysis in Spatial Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2952-2959. |
|
|
|
|