[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges

S Liang, T He, J Huang, A Jia, Y Zhang, Y Cao… - Science of Remote …, 2024 - Elsevier
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …

MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison

J Wei, Z Li, Y Peng, L Sun - Atmospheric Environment, 2019 - Elsevier
Abstract Recently, the newest Moderate Resolution Imaging Spectroradiometer (MODIS)
Collection 6.1 (C6. 1) aerosol optical depth (AOD) products were available with various …

A review on estimation of particulate matter from satellite-based aerosol optical depth: Data, methods, and challenges

AK Ranjan, AK Patra, AK Gorai - Asia-Pacific Journal of Atmospheric …, 2021 - Springer
Detailed, reliable, and continuous monitoring of aerosol optical depth (AOD) is essential for
air quality management and protection of human health. The satellite-based AOD datasets …

Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches

J Wei, W Huang, Z Li, L Sun, X Zhu, Q Yuan… - Remote Sensing of …, 2020 - Elsevier
A primary challenge in cloud detection is associated with highly mixed scenes that are filled
with broken and thin clouds over inhomogeneous land. To tackle this challenge, we …

Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products

J Wei, Y Peng, R Mahmood, L Sun… - … Chemistry and Physics, 2019 - acp.copernicus.org
Satellite-derived aerosol products provide long-term and large-scale observations for
analysing aerosol distributions and variations, climate-scale aerosol simulations, and …

Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine

J Wei, Z Wang, Z Li, Z Li, S Pang, X **, M Cribb… - Remote Sensing of …, 2024 - Elsevier
Landsat imagery offers remarkable potential for various applications, including land
monitoring and environmental assessment, thanks to its high spatial resolution and over 50 …

[HTML][HTML] Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land

J Wei, Y Peng, J Guo, L Sun - Atmospheric Environment, 2019 - Elsevier
This study evaluates the long-term Terra and Aqua Moderate Resolution Imaging
Spectroradiometer (MODIS) Collection 6.1 (C6. 1) Level 3 atmospheric aerosol products …

[HTML][HTML] Convolutional neural network-driven improvements in global cloud detection for landsat 8 and transfer learning on sentinel-2 imagery

S Pang, L Sun, Y Tian, Y Ma, J Wei - Remote Sensing, 2023 - mdpi.com
A stable and reliable cloud detection algorithm is an important step of optical satellite data
preprocessing. Existing threshold methods are mostly based on classifying spectral features …

MODIS Collection 6.1 3 km resolution aerosol optical depth product: Global evaluation and uncertainty analysis

J Wei, Z Li, L Sun, Y Peng, L Liu, L He, W Qin… - Atmospheric …, 2020 - Elsevier
Recently, NASA has released the newest Moderate Resolution Imaging Spectroradiometer
(MODIS)/Terra Collection 6.1 (C6. 1) aerosol product generated at a higher spatial …

Satellite-derived spatiotemporal PM2. 5 concentrations and variations from 2006 to 2017 in China

W Xue, J Zhang, C Zhong, D Ji, W Huang - Science of the Total …, 2020 - Elsevier
The PM 2.5 concentration is an important evaluation index for the global Sustainable
Development Goals (SDGs) for its negative impacts on human health. Last decade, several …