基于PROSAIL模型的水稻田缨帽三角-叶面积指数模型及其应用

doi:10.13287/j.1001-9332.201712.016

应用生态学报 ›› 2017, Vol. 28 ›› Issue (12): 3976-3984.doi: 10.13287/j.1001-9332.201712.016

基于PROSAIL模型的水稻田缨帽三角-叶面积指数模型及其应用

李亚妮, 鲁蕾^*, 刘勇

兰州大学资源环境学院, 兰州 730000

收稿日期:2017-05-10 出版日期:2017-12-18 发布日期:2017-12-18
通讯作者: * E-mail: lulei@lzu.edu.cn
作者简介:李亚妮,女,1992年生,硕士研究生.主要从事干旱半干旱地区植被叶面积指数反演研究.E-mail:ynli15@lzu.edu.cn
基金资助:
本文由国家自然科学基金项目(41401372,41271360)资助

Tasseled cap triangle (TCT)-leaf area index (LAI)model of rice fields based on PROSAIL model and its application

LI Ya-ni, LU Lei^*, LIU Yong

College of Earth Environmental Scien-ces, Lanzhou University, Lanzhou 730000, China

Received:2017-05-10 Online:2017-12-18 Published:2017-12-18
Contact: * E-mail: lulei@lzu.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41401372, 41271360)

摘要/Abstract

摘要： 缨帽三角(tasseled cap triangle,TCT)-叶面积指数(leaf area index,LAI)等值线模型是一种反映植被叶面积指数等值线在红光(Red)-近红外(NIR)波段反射率组成的光谱空间中分布规律的模型,在此基础上建立LAI遥感反演模型比常用的统计关系模型更加精确.本文利用水稻田实测数据,验证了PROSAIL模型对水稻冠层反射率模拟的适用性,并对模型的输入参数进行率定,最终确定了PROSAIL模型模拟水稻冠层反射率的输入参数的取值范围.在此基础上构建了水稻田TCT-LAI等值线模型,建立了LAI遥感反演所需的查找表,将其分别用于Landsat 8和WorldView 3数据进行水稻田LAI反演.结果表明: 利用基于TCT-LAI等值线模型建立查找表反演的LAI与实测LAI具有良好的线性相关关系,R²=0.76,RMSE=0.47;与Landsat 8的LAI反演结果相比,WorldView 3反演的LAI值域范围更大,数据分布更离散.将Landsat 8、WorldView 3反射率数据重采样至1 km后进行LAI反演, MODIS LAI 产品的反演结果存在明显低估现象.

Abstract: The tasseled cap triangle (TCT)-leaf area index (LAI) isoline is a model that reflects the distribution of LAI isoline in the spectral space constituted by reflectance of red and near-infrared (NIR) bands, and the LAI retrieval model developed on the basis of this is more accurate than the commonly used statistical relationship models. This study used ground-based measurements of the rice field, validated the applicability of PROSAIL model in simulating canopy reflectance of rice field, and calibrated the input parameters of the model. The ranges of values of PROSAIL input parameters for simulating rice canopy reflectance were determined. Based on this, the TCT-LAI isoline model of rice field was established, and a look-up table (LUT) required in remote sensing retrieval of LAI was developed. Then, the LUT was used for Landsat 8 and WorldView 3 data to retrieve LAI of rice field, respectively. The results showed that the LAI retrieved using the LUT developed from TCT-LAI isoline model had a good linear relationship with the measured LAI R²=0.76, RMSE=0.47. Compared with the LAI retrieved from Landsat 8, LAI values retrieved from WorldView 3 va-ried with wider range, and data distribution was more scattered. Resampling the Landsat 8 and WorldView 3 reflectance data to 1 km to retrieve LAI, the result of MODIS LAI product was significantly underestimated compared to that of retrieved LAI.

李亚妮, 鲁蕾, 刘勇. 基于PROSAIL模型的水稻田缨帽三角-叶面积指数模型及其应用[J]. 应用生态学报, 2017, 28(12): 3976-3984.

LI Ya-ni, LU Lei, LIU Yong. Tasseled cap triangle (TCT)-leaf area index (LAI)model of rice fields based on PROSAIL model and its application[J]. Chinese Journal of Applied Ecology, 2017, 28(12): 3976-3984.

参考文献

[1] Chen JM, Black T. Defining leaf area index for non-flat leaves. Plant, Cell & Environment, 1992, 15: 421-429
[2] Ganopolski A, Kubatzki C, Claussen M, et al. The influence of vegetation-atmosphere-ocean interaction on climate during the mid-holocene. Science, 1998, 280: 1916-1919
[3] Xiang Y (向阳), Xiao Z-Q (肖志强), Liang S-L (梁顺林), et al. Validation of global land surface satellite (GLASS) leaf area index product. Journal of Remote Sensing (遥感学报), 2014, 18(3): 573-596 (in Chinese)
[4] Weiss M, Baret F, Garrigues S, et al. LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: Validation and comparison with MODIS collection 4 products. Remote Sensing of Environment, 2007, 110: 317-331
[5] Yoshioka H, Huete AR, Miura T. Derivation of vegetation isoline equations in red-NIR reflectance space. Geoscience & Remote Sensing IEEE Transactions on, 2000, 38: 838-848
[6] Chen Y-H (陈艳华), Zhang W-C (张万昌), Yong B (雍斌). A feasibility study of leaf area index inversion using radiative transfer model based on TM data. Remote Sensing for Land & Resources (国土资源遥感), 2007, 19(2): 44-49 (in Chinese)
[7] Liu X-C (刘晓臣), Fan W-J (范闻捷), Tian Q-J (田庆久), et al. Comparative analysis among different methods of leaf area index inversion. Acta Scientiarum Naturalium Universitatis Pekinensis (北京大学学报:自然科学版), 2008, 44(5): 827-834 (in Chinese)
[8] Gu C-Y (谷成燕), Du H-Q (杜华强), Zhou G-M (周国模), et al. Retrieval of leaf area index of moso bamboo forest with Landsat thematic mapper image based on prosail canopy radiative transfer model. Chinese Journal of Applied Ecology (应用生态学报), 2013, 24(8): 2248-2256 (in Chinese)
[9] Yang F (杨飞), Sun J-L (孙九林), Zhang B (张柏), et al. Assessment of MODIS LAI product accuracy based on the prosail model, TM and field measurements. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2010, 26(4): 192-197 (in Chinese)
[10] Du Y-Z (杜育璋), Jiang X-G (姜小光), Zhang Y-Z (张雨泽), et al. Retrieving leaf area index using prosail radiative transfer model based on Landsat 8 image. Arid Land Geography (干旱区地理), 2016, 39(5): 1096-1103 (in Chinese)
[11] Qin Z-F (秦占飞), Shen J (申健), Xie B-N (谢宝妮), et al. Hyperspectral estimation model for predicting LAI of rice in Ningxia irrigation zone. Geomatics and Information Science of Wuhan University (武汉大学学报:信息科学版), 2017, 42(8): 1159-1166 (in Chinese)
[12] Xin M-Y (辛明月), Yin H (殷红), Chen L (陈龙), et al. Estimation of rice canopy LAI with different growth stages based on hyperspectral remote sensing data. Chinese Journal of Agrometeorology (中国农业气象), 2015, 36(6): 762-768 (in Chinese)
[13] Yang Y-J (杨闫君), Tian Q-J (田庆久), Huang Y (黄彦), et al. Validation of leaf area index inversion on GF-1 satellite remote sensing imagery. Remote Sen-sing Information (遥感信息), 2015, 30(5): 62-68 (in Chinese)
[14] Nguyen TTH, Verhoef W, Bie DCAJM. Seasonal LAI estimation of irrigated rice using soil-leaf-canopy, SLC, radiative transfer model. 32nd Asian Conference on Remote Sensing 2011, Taipei, 2011: 327-332
[15] Campos-Taberner M, García-Haro FJ, Camps-Valls G, et al. Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring. Remote Sensing of Environment, 2016, 187: 102-118
[16] Huete A, Miura T, Yoshioka H, et al. Indices of Vegetation Activity. Berlin: Springer, 2014
[17] Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sensing of Environment, 1984, 16: 125-141
[18] Jacquemoud S, Baret F. PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment, 1990, 34: 75-91
[19] Verhoef W. Earth observation modeling based on layer scattering matrices. Remote Sensing of Environment, 1985, 17: 165-178
[20] Schaepman-Strub G, Schaepman ME, Painter TH, et al. Reflectance quantities in optical remote sensing-definitions and case studies. Remote Sensing of Environment, 2006, 103: 27-42
[21] Bai J-W (白继伟). The Study on the Spectral Mapping Technique based on the Hyperspectral Database. PhD Thesis. Beijing: Institute of Remote Sensing Applications, Chinese Academy of Sciences, 2002 (in Chinese)
[22] Hosgood B, Jacquemoud S, Andreoli G, et al. Leaf Optical Properties Experiment 93 (LOPEX93). European Commission Joint Research Centre Institute for Remote Sensing Applications, Report EUR 16095 EN, 1994
[23] Sobol IM. On sensitivity estimation for nonlinear mathematical models. Keldysh Applied Mathematics Institute, 1990, 2: 112-118
[24] Zhang X-C (张晓翠), Lv C-G (吕川根), Hu N (胡凝), et al. Simulation of leaf inclination angle distribution for rice with different plant types. Chinese Journal of Rice Science (中国水稻科学), 2012, 26(2): 205-210 (in Chinese)
[25] Yang F (杨峰), Fan Y-M (范亚民), Li J-L (李建龙), et al. Estimating LAI and CCD of rice and wheat using hyperspectral remote sensing data. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2010, 26(2): 237-243 (in Chinese)
[26] Grazvydas. Using TriScatteredInterp with an Image [EB/OL]. (2012-11-27) [2017-03-04]. https://cn.mathworks.com/help/matlab/ref/triscatteredinterp.html?s_tid=srchtitle
[27] Yoshioka H, Miura T, Huete AR, et al. Analysis of vegetation isoclines in red-NIR reflectance space. Remote Sensing of Environment, 2000, 74: 313-326
[28] Cheng Q. Validation and correction of MOD15-LAI using in situ rice LAI in southern China. Communications in Soil Science and Plant Analysis, 2008, 39: 1658-1669

基于PROSAIL模型的水稻田缨帽三角-叶面积指数模型及其应用

Tasseled cap triangle (TCT)-leaf area index (LAI)model of rice fields based on PROSAIL model and its application

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价