Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia

Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP

(2021) Yuan Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Investigating the relationship of aerosols with enhanced vegetation index and meteorological parameters over Pakistan

(2021) Salman Tariq et al.   Atmospheric Pollution Research

Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period

(2021) Ganghan Kim et al.   GIScience & Remote Sensing

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia

(2021) Yoojin Kang et al.   ENVIRONMENTAL POLLUTION

Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models

(2021) Jong-Min Yeom et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatiotemporal mixed effects modeling for the estimation of PM2.5 from MODIS AOD over the Indian subcontinent

(2020) S. L. Kesav Unnithan et al.   GIScience & Remote Sensing

Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET

(2020) Guan Huang et al.   Earth and Space Science

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models

(2020) Seohui Park et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach

(2020) Tien Dat Pham et al.   GIScience & Remote Sensing

MODIS aerosol optical depth retrieval based on random forest approach

(2020) Tianchen Liang et al.   Remote Sensing Letters

Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations

(2020) Lu She et al.   Remote Sensing

Upscaling Net Ecosystem Exchange over Heterogeneous Landscapes with Machine Learning

(2020) O. Reitz et al.   Journal of Geophysical Research-Biogeosciences

A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China

(2019) Fei Yao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta During the 2014–2017 Period

(2019) Cheng et al.   International Journal of Environmental Research and Public Health

Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud

(2019) Murali Krishna Gumma et al.   GIScience & Remote Sensing

Estimating Spatio-Temporal Variations of PM2.5 Concentrations Using VIIRS-Derived AOD in the Guanzhong Basin, China

(2019) Kainan Zhang et al.   Remote Sensing

Estimating ground-level particulate matter concentrations using satellite-based data: a review

(2019) Minso Shin et al.   GIScience & Remote Sensing

Comprehensive Study of Optical, Physical, Chemical, and Radiative Properties of Total Columnar Atmospheric Aerosols over China: An Overview of Sun–Sky Radiometer Observation Network (SONET) Measurements

(2018) Z. Q. Li et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain

(2018) Keyong Huang et al.   ENVIRONMENTAL POLLUTION

Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000–2015): Insights for remote sensing and climate analysis

(2018) Vitor S. Martins et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Column-integrated aerosol optical properties of coarse- and fine-mode particles over the Pearl River Delta region in China

(2018) B. Mai et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial Factor Analysis for Aerosol Optical Depth in Metropolises in China with Regard to Spatial Heterogeneity

(2018) Hui Shi et al.   Atmosphere

Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data

(2018) Lara Sofía Della Ceca et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Enhanced global primary production by biogenic aerosol via diffuse radiation fertilization

(2018) A. Rap et al.   Nature Geoscience

An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development

(2017) Xing Yan et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data

(2017) Eunna Jang et al.   Remote Sensing

Investigating the relationship between Aerosol Optical Depth and Precipitation over Southeast Asia with Relative Humidity as an influencing factor

(2017) Daniel Hui Loong Ng et al.   Scientific Reports

Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data

(2015) Humera Bibi et al.   ATMOSPHERIC ENVIRONMENT

Aerosol optical properties under the condition of heavy haze over an urban site of Beijing, China

(2014) Huizheng Che et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Impact of meteorological parameters on relation between aerosol optical indices and air pollution in a sub-urban area

(2013) M. Khoshsima et al.   JOURNAL OF AEROSOL SCIENCE

Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data

(2013) A. M. Sayer et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)

(2012) Joo-Hyung Ryu et al.   Ocean Science Journal