Study on the spectral reconstruction of typical surface types based on spectral library and principal component analysis

Abstract

To meet the demanding of spectral reconstruction in the visible and near-infrared wavelength, the spectral reconstruction method for typical surface types is discussed based on the USGS/ASTER spectral library and principal component analysis (PCA). A new spectral reconstructed model is proposed by the information of several typical bands instead of all of the wavelength bands, and a linear combination spectral reconstruction model is also discussed. By selecting 4 typical spectral datasets including green vegetation, bare soil, rangeland and concrete in the spectral range of 400-900 nm, the PCA results show that 6 principal components could characterized the spectral dataset, and the relative reconstructed errors are smaller than 2%. If only 6-7 selected typical bands are employed to spectral reconstruction for all the surface reflectance in 400-900 nm, except that the reconstructed error of green vegetation is about 3.3%, the relative errors of other 3 datasets are all smaller than 1.6%. The correlation coefficients of those 4 datasets are all larger than 0.99, which can effectively satisfy the needs of spectral reconstruction. In addition, based on the spectral library and the linear combination model of 4 common used bands of satellite remote sensing such as 490, 555, 670 and 865 nm, the reconstructed errors are smaller than 8.5% in high reflectance region and smaller than 1.5% in low reflectance region respectively, which basically meet the needs of spectral reconstruction. This study can provide a reference value for the surface reflectance processing and spectral reconstruction in satellite remote sensing research.

Simulating Multi-Directional Narrowband Reflectance of the Earth’s Surface Using ADAM (A Surface Reflectance Database for ESA’s Earth Observation Missions)

“…Spectral calculation relies on the assumption that the reflectances for soil and vegetation are correlated across the 240-4000 nm range and that a few spectral measurements in the visible and near-infrared provide sufficient information on the reflectance in the UV (below 400 nm) and shortwave infrared (from 2500 nm to 4000 nm) [1,[38][39][40]. That assumption is further supported by statistical analysis (results not presented here) of tens of spectra available from several databases, containing measured spectral reflectances from soil and vegetation samples (presented in Section 3.4.1).…”

Preliminary Sensitivity Study of Aerosol Layer Height From Synthetic Multiangle Polarimetric Remote Sensing Measurements

“…where 1,2 ( , ) represent the polarized component of the Fresnel reflection matrix, is the reflective index of the vegetative matter, means the half the phase angle, NDVI is the normalized difference vegetation index, and is the only free linear parameter (Maignan et al, 2009). In this paper, he parameters of the BRDF and BPDF of vegetated surface are chosen from the work of Litvinov et al (2011), which will not be discussed here anymore (Hou et al, 2019). 1 410 nm 2 410, 443 nm 3 410, 443, 490 nm 4 410, 443, 490, 555 nm 5 410, 443, 490, 555, 670 nm 6 410, 443, 490, 555, 670, 865 nm Table 1.…”