The CHRIS (Compact High Resolution Imaging Spectrometer) is a new imaging spectrometer, carried on board a new space platform called PROBA (Project for On Board Autonomy). The satellite was successfully launched in October 2001 by the European Space Agency (ESA). CHRIS operates over the visible/near infrared band (400-1050 nm). It has five work modes and can reach a maximum of 62 spectral bands. In this research, atmospheric correction based on hyperspectral images was performed on CHRIS images by using the popular radiance transfer code ACORN (Atmospheric Correction Now) and empirical algorithms. ACORN was also used to evaluate the calibration performance of CHRIS by the retrieved spectra of typical vegetation and soil. As a result,the maize reflectance spectrum corrected by ACORN could characterize vegetation reflectance in the range of 498-750 nm, but gave a fairly large deviation beyond 750 nm,showing the deficiency of spectral calibration beyond 750 nm. The ACORN-derived soil reflectance decreased beyond 800 nm, which was quite inconsistent with field-spectrummeasurement and showed that the calibration accuracy couldn't meet the requirements of ACORN for spectral and radiometric calibration within a certain spectral range. In addition,the stripes on the retrieved water-vapor content map indicated that the radiance-calibration performance of CHRIS is not perfect. As the first spaceborne hyperspectral imager of ESA, the calibration performance of CHRIS needs to be improved.
中分辨率成像光谱仪(M OD IS)已在全球资源环境监测中发挥了重要作用,但是它的低分辨率成为提高分类精度的阻碍。利用M OD IS的高时间分辨率弥补其低空间分辨率的不足,设计分类器改善分类精度。利用2003年23个时相的M OD IS_EV I图像,构建华北平原植被指数图像时间立方体。在谐波分析去噪标准化基础上,从EV I时间谱上提取5个表征物候差异的特征向量,结合表征地气交互作用差异的地表温度(LST)信息及表征地表固有的空间分异特征的坡度信息,建立分类二叉树进行土地覆盖分类。结果表明,与2000年TM分类结果的总体一致性为75.5%,K appa系数为0.68。而NA SA U SG S基于M OD IS分类精度为66.0051%,K appa系数为0.3209。进一步与2003年耕地面积的官方统计资料的比较表明,该文的估算误差为34.0507 khm2,而NA SA U SG S的估算误差高达66.1205 khm2。研究表明利用高时间分辨率的M OD IS植被指数时间序列获得较高精度的土地覆盖分类结果是可能的。
