[HTML][HTML] Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey

S Giannakidou, P Radoglou-Grammatikis, T Lagkas… - Internet of Things, 2024 - Elsevier
Forest fires are a persistent global problem, causing devastating consequences such as loss
of human lives, harm to the environment, and substantial economic losses. To mitigate these …

Emissions estimation from satellite retrievals: A review of current capability

DG Streets, T Canty, GR Carmichael, B de Foy… - Atmospheric …, 2013 - Elsevier
Since the mid-1990s a new generation of Earth-observing satellites has been able to detect
tropospheric air pollution at increasingly high spatial and temporal resolution. Most primary …

Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning

CE Reid, M Jerrett, ML Petersen… - … science & technology, 2015 - ACS Publications
Estimating population exposure to particulate matter during wildfires can be difficult because
of insufficient monitoring data to capture the spatiotemporal variability of smoke plumes …

Satellite remote sensing of surface air quality

RV Martin - Atmospheric environment, 2008 - Elsevier
Satellite remote sensing of air quality has evolved dramatically over the last decade. Global
observations are now available for a wide range of species including aerosols, tropospheric …

Remote sensing of particulate pollution from space: have we reached the promised land?

RM Hoff, SA Christopher - Journal of the Air & Waste Management …, 2009 - Taylor & Francis
The recent literature on satellite remote sensing of air quality is reviewed. 2009 is the 50th
anniversary of the first satellite atmospheric observations. For the first 40 of those years …

Estimating Regional Spatial and Temporal Variability of PM2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information

Y Liu, CJ Paciorek, P Koutrakis - Environmental health …, 2009 - ehp.niehs.nih.gov
Background Studies of chronic health effects due to exposures to particulate matter with
aerodynamic diameters≤ 2.5 μm (PM2. 5) are often limited by sparse measurements …

[HTML][HTML] Satellite data of atmospheric pollution for US air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and …

BN Duncan, AI Prados, LN Lamsal, Y Liu… - Atmospheric …, 2014 - Elsevier
Satellite data of atmospheric pollutants are becoming more widely used in the decision-
making and environmental management activities of public, private sector and non-profit …

A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces

M Bilal, JE Nichol, MP Bleiweiss, D Dubois - Remote sensing of …, 2013 - Elsevier
Aerosol Optical Depth (AOD) is a measure of the columnar atmospheric aerosol content.
Satellite remote sensing has been used to retrieve AOD over land and ocean at spatial …

Fengyun 4A land aerosol retrieval: Algorithm development, validation, and comparison with other datasets

X Su, L Wang, M Cao, L Yang, M Zhang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
The Advanced Geostationary Radiation Imager (AGRI) onboard the Fengyun 4A (FY-4A)
satellite has high spatiotemporal resolution and provides useful spectral information that can …

[BOG][B] Satellite aerosol remote sensing over land

AA Kokhanovsky, G Leeuw - 2009 - Springer
Atmospheric aerosol is a suspension of liquid and solid particles, with radii varying from a
few nm to larger than 100 μm, in air. The particles can be directly emitted into the …