Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation

Li, Zhengqiang; Hou, Weizhen; Hong, Jin; Zheng, Fengxun; Luo, Duan; Wang, Jun; Gu, Xingfa; Qiao, Yusen

doi:10.1016/j.jqsrt.2018.07.003

Cited by 126 publications

(56 citation statements)

References 97 publications

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“…In order to test the spectral reconstruction based on the linear combination model, the surface information of four common bands for satellite remote sensing, including 490, 555, 670 and 865 nm [16][17][18][19][20][21] , are used to the spectral reconstruction. Figure 6 shows the scatter plots of the reconstructed and true surface reflectance at 440 nm, and Figure 7 shows the reconstructed reflectance results at 810nm.…”

Section: Spectral Reconstruction Results With Linear Combinationmentioning

confidence: 99%

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

Hou¹,

Mao²,

Xu³

et al. 2019

Fifth Symposium on Novel Optoelectronic Detection Technology and Application

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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.

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Section: Spectral Reconstruction Results With Linear Combinationmentioning

confidence: 99%

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

Hou¹,

Mao²,

Xu³

et al. 2019

Fifth Symposium on Novel Optoelectronic Detection Technology and Application

Self Cite

View full text Add to dashboard Cite

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“…which means the statistical uncertainties in retrieved ̂ caused by measurement noise and the propagation of errors, and the posterior errors (absolute errors) are equal to the square root of diagonal elements (Hou et al, 2018a;Li et al, 2018).…”

Section: Dfs and Posterior Errormentioning

confidence: 99%

“…While for the passive satellite remote sensing, the oxygen (O2) A and B bands are usually used to study the aerosol vertical distribution based on synthetic data and real measurements (Sanghavi et al, 2012;Ding et al, 2014;Saders et al, 2015;Xu et al, 2017bXu et al, , 2019. Many previous studies have shown that multiangle, multispectral polarimetric remote sensing can provide valuable information on aerosol microphysical and optical properties (Waquet et al, 2009;Hasekamp et al, 2011;Dubovik et al, 2011;Wu et al, 2015;Hou et al, 2018), in which the aerosol layer height (ALH) is one of important parameters but with less studies, especially in the near-ultraviolet (near-UV) and visible (VIS) wavelength bands (Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…As the flagship of the environment and atmosphere observation satellite in the Chinese High-resolution Earth Observation System (CHEOS) program (Gu and Tong, 2015), Gaofen-5 (GF-5) has been launched in May 2018, and the Directional Polarization Camera (DPC) is one of payloads (Li et al, 2018;Zheng et al, 2019). By inheritance the technology of Polarization and Directionality of the Earth's Reflectances (POLDER) (Deuzé et al, 2001), The DPC employed a charge coupled device (CCD) detection unit and realized spatial resolution of 3.3 km under a swath width of 1850 km, which has integrated 3 polarized channels (490, 670, 865nm) together with 5 non-polarized bands (443, 565, 763, 765, 910 nm).…”

Section: Introductionmentioning

confidence: 99%

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

Hou

Wang

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Many previous studies have shown that multiangle, multispectral polarimetric remote sensing can provide valuable information on aerosol microphysical and optical properties, in which the aerosol layer height (ALH) is an important parameter but with less studies, especially in the near-ultraviolet (near-UV) and visible (VIS) wavelength bands. Based on the optimal estimation (OE) theory and information content analysis method, we focus on the sensitivity study of ALH with the synthetic data in the near-UV and VIS wavelength in the range of 410–865 nm, and further to assess the capability of multiangle intensity and polarization measurements for the retrieval of ALH. Unified Linearized Vector Radiative Transfer Model (UNL-VRTM) has been used as the forward model to simulate the intensity and polarized radiance at the top of atmosphere (TOA), as well as the Jacobians of TOA results with respective to corresponding parameters. The degree of freedom for signal (DFS) and a posteriori error are introduced to quantity the information content of ALH from the intensity and polarization measurements, respectively. By assuming the surface type, aerosol model, aerosol loads, prior errors and observation geometries, the sensitivity of ALH has been preliminarily investigated. The sensitivity study results show that the near-UV and polarization measurements are the important source of information content for the aerosol height retrieval in satellite remote sensing.

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“…These results demonstrate that the spectral sensitivity of a vegetated surface is small. An applicable relationship is also required for polarization and directionality of the Earth's reflectances (POLDER) and POLDER-like measurements, for example, the directional polarized camera on the Chinese Gaofen 5 satellite (Li et al, 2018;Zheng et al, 2019). An applicable relationship is also required for polarization and directionality of the Earth's reflectances (POLDER) and POLDER-like measurements, for example, the directional polarized camera on the Chinese Gaofen 5 satellite (Li et al, 2018;Zheng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land

Wang

Yang

Zhao

et al. 2019

Earth and Space Science

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Surface polarized reflectance is related to its optical properties and observation geometry. It disturbs remote sensing of aerosol. In this study, we differentiated the polarized reflectance of a natural surface based on the normalized difference vegetation index and scattering angle, and the interband correlation coefficients were generally higher than that without differentiation. The spectral relationship was determined based on normalized difference vegetation index and scattering angle and then employed for aerosol retrieval from polarization and anisotropy of reflectances for atmospheric sciences coupled with observations from a lidar measurements. The retrieved aerosol optical depths (AODs) were contrasted with Aerosol Robotic Network results. The correlation coefficient between the retrieved and Aerosol Robotic Network AODs increased from 0.723 to 0.836, and the root‐mean‐square error reduced from 0.348 to 0.245 after considering the differentiated relationship. Thus, the accuracy of the retrieved AOD values was improved.

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Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation

Cited by 126 publications

References 97 publications

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

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

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

The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land

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