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

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

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.

scholarly journals Geospatial technology perspectives for mining vis-a-vis sustainable forest ecosystems

2017 ◽  
Vol 11 (1) ◽  
pp. 219-238 ◽  
Author(s):  
Laxmi Goparaju ◽  
P. Rama Chandra Prasad ◽  
Firoz Ahmad
Keyword(s):  
Forest Ecosystems ◽  
Anthropogenic Activities ◽  
Biogeochemical Cycles ◽  
Mining Activities ◽  
Forest Environment ◽  
Mining Operations ◽  
Geospatial Technology ◽  
The Status ◽  
The Impact

Abstract Forests, the backbone of biogeochemical cycles and life supporting systems, are under severe pressure due to varied anthropogenic activities. Mining activities are one among the major reasons for forest destruction questioning the survivability and sustainability of flora and fauna existing in that area. Thus, monitoring and managing the impact of mining activities on natural resources at regular intervals is necessary to check the status of their depleted conditions, and to take up restoration and conservative measurements. Geospatial technology provides means to identify the impact of different mining operations on forest ecosystems and helps in proposing initiatives for safeguarding the forest environment. In this context, the present study highlights the problems related to mining in forest ecosystems and elucidates how geospatial technology can be employed at various stages of mining activities to achieve a sustainable forest ecosystem. The study collates information from various sources and highlights the role of geospatial technology in mining industries and reclamation process.

scholarly journals Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India

Solid Earth ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 75-90 ◽  
Author(s):  
Naseer Ahmad ◽  
Puneeta Pandey
Keyword(s):  
Land Degradation ◽  
Near Infrared ◽  
Soil Samples ◽  
Geographical Information ◽  
Total Alkalinity ◽  
Soil Parameters ◽  
Landsat 8 ◽  
Sodic Soils ◽  
Barren Land ◽  
Geospatial Technology

Abstract. Land degradation leads to alteration of ecological and economic functions due to a decrease in productivity and quality of the land. The aim of the present study was to assess land degradation with the help of geospatial technology – remote sensing (RS) and geographical information system (GIS) – in Bathinda district, Punjab. The severity of land degradation was estimated quantitatively by analyzing the physico-chemical parameters in the laboratory to determine saline or salt-free soils and calcareous or sodic soils and further correlating them with satellite-based studies. The pH varied between 7.37 and 8.59, electrical conductivity (EC) between 1.97 and 8.78 dS m−1 and the methyl orange or total alkalinity between 0.070 and 0.223 (HCO3−) g L−1 as CaCO3. The spatial variability in these soil parameters was depicted through soil maps generated in a GIS environment. The results revealed that the soil in the study area was exposed to salt intrusion, which could be mainly attributed to irrigation practices in the state of Punjab. Most of the soil samples of the study area were slightly or moderately saline with a few salt-free sites. Furthermore, the majority of the soil samples were calcareous and a few samples were alkaline or sodic in nature. A comparative analysis of temporal satellite datasets of Landsat 7 ETM+ and Landsat 8 OLI_TIRS of 2000 and 2014, respectively, revealed that the water body showed a slight decreasing trend from 2.46 km2 in 2000 to 1.87 km2 in 2014, while the human settlements and other built-up areas expanded from 586.25 to 891.09 km2 in a span of 14 years. The results also showed a decrease in area under barren land from 68.9847 km2 in 2000 to 15.26 km2 in 2014. A significant correlation was observed between the digital number (DN) of the near-infrared band and pH and EC. Therefore, it is suggested that the present study can be applied to projects with special relevance to soil scientists, environmental scientists and planning agencies that can use the present study as baseline data to combat land degradation and conserve land resources in an efficient manner.

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