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Tropospheric ozone plays an important role in Earth's atmospheric environment and radiative balance. To assess the temporal variation of tropospheric ozone over Asia, ozone data from the Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST) were collected, evaluated, processed, and analyzed. Comparing TOST with ozonesonde station data and satellite data, there are good agreements...
The Sentinel-2A (S2A) Multi-Spectral Imager (MSI) is a new remote sensor launched on 23 June 2015 that provides unprecedented Earth observation with high spatial, spectral and temporal resolutions. It has high potential for chlorophyll content estimation. Chlorophyll content plays a crucial role in plant photosynthesis affecting the terrestrial carbon cycle. In this research, a physical retrieval...
In this study, the Bottom-Of-Atmosphere (BOA) reflectance over Egbert, Ontario, Canada on September 24, 2016, as obtained by the Sentinel-2A Multi-Spectral Imager and corrected by the Sentinel-2 atmospheric Correction (Sen2Cor) software, was evaluated based on the 6SV atmospherically corrected reflectance. The aerosol and water vapor parameters used in the 6SV model were obtained from the AERONET...
The 3-km resolution MODerate resolution Imaging Spectroradiometer (MODIS) aerosol product has advantages for local-scale aerosol monitoring over land. This study assessed the accuracy and feasibility of the product over East China and investigated the potential for aerosol climatology studies. The long-temporal aerosol optical depth (AOD) of the product from 2002 to 2015 was collected and analyzed...
In this paper, 3 km Moderate resolution Imaging Spectroradiometer (MODIS) aerosol products over Xuzhou and the surrounding area, including Jiangsu, Anhui, Henan and Shandong provinces in China, from July, 2002 to December, 2015 are collected and validated by the ground-based measured data from Xuzhou-CUMT site of Aerosol Robotic Network (AERONET). The validation result shows that the correlation coefficient...
Clumping index is an important vegetation structure parameter to describe the foliage clumping in canopy quantitatively. It is defined as the ratio of the effective leaf area index to the true leaf area index. In previous studies, it is generally considerate that cluster of canopy and below canopy scale in pure pixel. However, the in-pixel spatial heterogeneity need be taken into account estimating...
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