An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs

Abstract SEMARA is a high-resolution aerosol optical depth (AOD) retrieval algorithm that incorporates two algorithms, Simplified and Robust Surface Reflectance Estimation Method (SREM) for estimating surface reflectance and the Simplified Aerosol Retrieval Algorithm (SARA) for retrieving AOD. This study used SEMARA approach for retrieving AOD utilizing data obtained from Aqua-MODIS in the green channel. The algorithm had […]

Unveiling the impact of firm-characteristics on sustainable development goals disclosure: A cross-country study on non-financial companies in Asia

Keywords: Sustainable development goalsFirm-specificsSDGs practices Abstract This study examines the practices of the UN Sustainable Development Goals (SDGs) in Asian countries with special reference to listed firms in China, India, Indonesia, Japan, Malaysia, Singapore, and Saudi Arabia. Further, it evaluates the impact of firms’ specific factors on SDGs practices. The original sample consists of 1462 […]

The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review

Keywords: machine learning; MERRA2; dust; air quality; PM10; PM2.5   Abstract As urbanization and industrial activities accelerate globally, air quality has become a pressing concern, particularly due to the harmful effects of particulate matter (PM), notably PM2.5 and PM10. This review paper presents a comprehensive systematic assessment of machine learning (ML) techniques for estimating PM concentrations, […]