Detecting methane hotspots and anomalies from space over Pakistan: analysis using sentinel-5P TROPOMI and EMIT observations

Spatiotemporal analysis of atmospheric methane over Kazakhstan using Sentinel-5P satellite observations between 2019–2024

Methane (CH 4 ) is a potent greenhouse gas whose short-term radiative forcing significantly exceeds that of CO 2 , poses significant risks for regions with intensive hydrocarbon production, such as Kazakhstan.This study provides a country-wide spatiotemporal assessment of methane concentrations over Kazakhstan fo...

Spatial Analysis of Atmospheric Pollutants in An-Najaf Governorate Based on Sentinel-5 Satellite Observations

Sentinel-5P satellite imagery, in combination with Geographic Information Systems (GIS), was utilized to analyze the spatial distribution of the atmospheric pollutant gases—ozone (O₃), sulfur dioxide (SO₂), and carbon monoxide (CO)—across An-Najaf Governorate in central Iraq. The study aimed to assess patterns of pollu...

Predicting the Magnitude of Upcoming Powerful Earthquakes by Integrating LAI Anomalies Gathered by Remote Sensing Satellites: The Case of Kamchatka–Russia Earthquake (July 29, 2025; Mw = 8.8)

Relationship of tropical cyclone wind-field and cloud-band metrics with extreme rainfall events over Mexico

Tropical cyclones (TCs) are the most important hydrometeorological phenomena affecting Mexico, accounting for approximately 86.5% of the country’s most costly disasters, where extreme rainfall is the main TC-associated hazard. This study analyzes two TC size metrics during the 2000–2024 period: R34, defined as the mean...

Diurnal Aerosol Variability and Meteorological Associations over Inland and Coastal Pakistan: Insights from EPIC and MODIS

Aerosol properties and effects vary by region because of emission sources, meteorological conditions, topography, elevation, and land–sea interaction. These factors can produce substantial aerosol changes within a day, rendering it important to study the aerosol diurnal behavior. Using available 2015–2025 observations...

Dynamics of the spatiotemporal correlation between Aerosol Optical Depth satellite data and PM2.5 surface monitoring: An exploratory approach

PM2.5 is a major air pollutant with diverse natural and anthropogenic sources, which significantly impacts human health and the environment. Remote sensing serves as a complementary resource for air-monitoring networks, providing valuable information on the spatiotemporal patterns of air pollutants at a global scale Th...