1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
Abstract:To validate the HJ-1A HSI red edge indices, spectral reflectance data from EO-1 Hyperion of close date were used to simulate the band reflectance of HJ-1A HSI. Four red edge indices (red vale position, red edge position, red edge slop and red edge swing) were extracted from both simulated and actual HJ-1A HSI band reflectance. Comparisons of the 4 red edge indices between simulated and actual HJ-1A HSI were made to validate the red edge indices product of HJ-1A HSI. The average correlation coefficient of red edge reflectance between actual and simulated HJ-1A HSI is 0.946 and its standard deviation is 0.011, thus a high consistency could be found. The correlation coefficients of red edge indices between simulated and actual HJ-1A HSI were 0.414, 0.543, 0.808 and 0.802 for red edge position, red vale position, the red edge swing and red edge slop respectively. An obvious regular varying trend was found for these 4 red edge indices along different vegetation cover fraction. The standard deviations of differential images between real and simulated HJ-1A HSI red edge indices are 5.75, 1.86, 5.7 e-4 and 0.024. The result showed that the red edge indices from HJ-1A HSI is consistent with that from simulated indices from Hyperion; the vegetation variation could be effectively reflected in HJ-1A HSI red edge indices.
[1] LI Shi-hua, JIAO Yuan-mei(李石华, 角媛梅). Infrared Technology(红外技术), 2009, 31(9): 167. [2] LI Chuan-rong, JIA Yuan-yuan, HU Jian, et al(李传荣,贾媛媛,胡 坚, 等). Remote Sensing for Land & Resources(国土资源遥感), 2008, (3): 1. [3] Horler D N H, Dockray M, Barber J. International Journal of Remote Sensing, 1983, 4: 273. [4] Wessman C A. Estimating Canopy Biochemistry Through Imaging Spectrometry. In: Hill J, Megier(Eds.), Imagong Spectrometry-A Tool for Environmental Observations. London: Kluwer Academic Publishers, 1994. [5] Morisette Jeffrey T, Privette Jeffrey L, Justice Christopher O. Remote Sensing of Environment, 2002, 83(1-2): 77. [6] TAN Bing-xiang, LI Zeng-yuan, CHEN Er-xue, et al(谭炳香, 李增元, 陈尔学, 等). Journal of Beijing Forestry University(北京林业大学学报), 2006, 28(3): 95. [7] YUAN Jin-guo, NIU Zheng(袁金国,牛 铮). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2007, 23(4): 172. [8] YAN Fu-li, WANG Shi-xin, ZHOU Yi, et al(阎福礼, 王世新, 周 艺, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(6): 460. [9] ZHOU Yu-ji, TIAN Qing-jiu(周雨霁, 田庆久). Geo-Information Science(地球信息科学), 2008, 10(5): 678. [10] ZHANG Dong, ZHANG Ying, LI Huan(张 东, 张 鹰, 李 欢). Advances in Marine Science(海洋科学进展) , 2009, 27(1): 92. [11] TAN Bing-xiang, LI Zeng-yuan, CHEN Er-xue, et al(谭炳香, 李增元, 陈尔学, 等). Remote Sensing Information(遥感信息), 2005,(6): 36. [12] Goodenough David G, Andrew D, et al. IEEE Transaction on Geoscience and Remote Sensing, 2003, 41(6): 1321. [13] Research System, FLAASH, Boulder [M/OL]. CO: Research System, Inc., 2003, http://www.rsinc.com/envi/flaash.asp [14] Miller J R, et al. Int. J. Remote Sens., 1990, 11: 1775. [15] YUAN Jin-guo, NIU Zheng, WANG Xi-ping(袁金国, 牛 铮, 王锡平). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(5): 1181. [16] JIANG Xiao-guang, LI Zhao-liang, XI Xiao-huan, et al(姜小光,李召良,习晓环, 等). Arid Land Geography(干旱区地理), 2008, 31(4): 567.