scholarly journals Domestic Disasters and Geospatial Technology for the Defense Logistics Agency

2014 ◽  
Author(s):  
Amanda Nerg ◽  
Kristie Stuckenschneider
Keyword(s):  
Geospatial Technology ◽  
Defense Logistics Agency

GEOSPATIAL TECHNOLOGY BASED GEOENVIRONMENTAL IMPACT ASSESSMENT OF SLATE MINING ACTIVITIES

2020 ◽  
Vol 40 (2) ◽  
pp. 330-349
Author(s):  
TEJPAL T ◽  
◽  
M.S. JAGLAN ◽  
B.S. CHAUDHARY ◽  
◽  
...  
Keyword(s):  
Impact Assessment ◽  
Mining Activities ◽  
Geospatial Technology

Can Novices to Geospatial Technology Compromise Spatial Confidentiality?

2007 ◽  
Vol 57 (2) ◽  
pp. 78-84
Author(s):  
Michael Leitner ◽  
Jacqueline W. Mills ◽  
Andrew Curtis
Keyword(s):  
Geospatial Technology

scholarly journals Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ram Kumar Singh ◽  
Martin Drews ◽  
Manuel De la Sen ◽  
Prashant Kumar Srivastava ◽  
Bambang H. Trisasongko ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Global Economy ◽  
Respiratory Diseases ◽  
Environmental Pollutants ◽  
Atmospheric Pollutants ◽  
Geospatial Technology ◽  
The World ◽  
Community Transmission ◽  
Global Threat

AbstractThe new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections.

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