scholarly journals MONITORING AND CALCULATING THE CARBON DIOXIDE EMISSIONS IN BAGHDAD AND ITS EFFECT ON INCREASING TEMPERATURES FROM 2003-2018 USING REMOTE SENSING DATA

2020 ◽  
Vol 17 (36) ◽  
pp. 357-371
Author(s):  
Mazin Shakir JASIM ◽  
Fouad Kadhum MASHEE
Keyword(s):  
Remote Sensing ◽  
Carbon Dioxide ◽  
Correlation Coefficient ◽  
Carbon Dioxide Emissions ◽  
Pearson Correlation ◽  
Remote Sensing Data ◽  
Hydrocarbon Gases ◽  
Entire Study ◽  
Sensing Data ◽  
The City

The city of Baghdad has witnessed an urban and industrial expansion with an increase in population, especially since 2003. Air pollution sources have multiplied by the increase in the number of vehicles and electricity generators, causing the emission of large quantities of hydrocarbon gases, including carbon dioxide, CO2. The discharge of such gases into the atmosphere and large amounts, will surely have a role in contributing to global warming. Therefore, it will have prominent adverse effects in influencing the rise in temperatures in the city. The research aimed to show the applied aspect of remote sensing and geographic information systems techniques in estimating the CO2 and its relationship to thermal balance for Baghdad city through fifteen stations distributed throughout the city. Remote sensing data adopted from US Geological and the European Centre, in addition to CO2 data for the Atmospheric Infrared sounder (AIRS) from Giovanni for the extended period (2003-2018), were used. Processing and statistical analysis were performed on data using GIS 10.6 and Origin 2018 software. The monthly rates of CO2 showed seasonal fluctuations between winter and summer, where the highest value of CO2 in July and the lowest value in February. Inverse Distance Weighting (IDW) technology was used to represent the spatial distribution of CO2 concentrations in the city. Residential and industrial regions experienced higher levels compared to agricultural areas. Pearson correlation coefficient was used to find out the relationship between carbon dioxide and temperatures. The correlation coefficient showed a high positive relationship between increased gas concentrations and high temperatures for all study stations over the entire study period. It can be concluded the concentration of carbon dioxide differs locally in regions of Baghdad, such as residential, commercial, traffic, industrial, and rural areas, as well as during the months of the year.

Investigation of the Transformation of the Plant Ecosystem in the Vicinity of the Tsemesskaya Bay in the Black Sea Based on Remote Sensing Data

2021 ◽  
Vol 25 (6) ◽  
pp. 61-67
Author(s):  
I.V. Zen’kov ◽  
Trinh Le Hung ◽  
Yu.P. Yuronen ◽  
P.M. Kondrashov ◽  
A.A. Latyntsev ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Black Sea ◽  
Remote Sensing Data ◽  
Open Pit ◽  
Open Pit Mining ◽  
The Black Sea ◽  
Industrial Facilities ◽  
Logistics Center ◽  
Sensing Data ◽  
The City

A brief description of the industrial and logistics center operating in the city of Novorossiysk on the coast of the Tsemesskaya Bay in the Black Sea is presented. According to remote sensing data, the area of open pit mining of rock dumps dumped during the development of three marl deposits for use at four cement plants was determined. According to the results of satellite imagery and analytical calculations, downward trends in changes in the density of vegetation cover in territories with natural landscapes adjacent to the territory of industrial facilities located on the coast of the Tsemesskaya Bay were revealed.

scholarly journals Data and techniques for studying the urban heat island effect in Johannesburg

2015 ◽  
Vol XL-7/W3 ◽  
pp. 203-206 ◽  
Author(s):  
C. H. Hardy ◽  
A. L. Nel
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Sensing Data ◽  
Island Effect ◽  
Urban Heat ◽  
The City

The city of Johannesburg contains over 10 million trees and is often referred to as an urban forest. The intra-urban spatial variability of the levels of vegetation across Johannesburg’s residential regions has an influence on the urban heat island effect within the city. Residential areas with high levels of vegetation benefit from cooling due to evapo-transpirative processes and thus exhibit weaker heat island effects; while their impoverished counterparts are not so fortunate. The urban heat island effect describes a phenomenon where some urban areas exhibit temperatures that are warmer than that of surrounding areas. The factors influencing the urban heat island effect include the high density of people and buildings and low levels of vegetative cover within populated urban areas. This paper describes the remote sensing data sets and the processing techniques employed to study the heat island effect within Johannesburg. In particular we consider the use of multi-sensorial multi-temporal remote sensing data towards a predictive model, based on the analysis of influencing factors.

Using high-resolution remote sensing data for habitat suitability models of Bromeliaceae in the city of Mérida, Venezuela

2013 ◽  
Vol 120 ◽  
pp. 107-118 ◽  
Author(s):  
Caroline Judith ◽  
Julio V. Schneider ◽  
Marco Schmidt ◽  
Rengifo Ortega ◽  
Juan Gaviria ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Habitat Suitability ◽  
Remote Sensing Data ◽  
Habitat Suitability Models ◽  
Sensing Data ◽  
The City

scholarly journals Understanding the Correlation between Landscape Pattern and Vertical Urban Volume by Time-Series Remote Sensing Data: A Case Study of Melbourne

2021 ◽  
Vol 10 (1) ◽  
pp. 14
Author(s):  
Mengyu Ge ◽  
Shenghui Fang ◽  
Yan Gong ◽  
Pengjie Tao ◽  
Guang Yang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Local Development ◽  
3D Structure ◽  
Remote Sensing Data ◽  
Landscape Patterns ◽  
Surface Pattern ◽  
Entire Study ◽  
The City

Urbanization is changing the world’s surface pattern more and more drastically, which brings many social and ecological problems. Quantifying the changes in the landscape pattern and 3D structure of the city is important to understand these issues. This research study used Melbourne, a compact city, as a case study, and focused on landscape patterns and vertical urban volume (volume mean (VM), volume standard deviation (VSD)) and investigate the correlation between them from the scope of different scales and functions by Remote Sensing (RS) and Geographic Information System (GIS) techniques. We found: (1) From 2000 to 2012, the landscape pattern had a trend of decreasing fragmentation and increasing patch aggregation. The growth of VM and VSD was more severe than that of landscape metrics, and presented a “high–low” situation from the city center to the surroundings, maintaining the structure of “large east and small west”. (2) Landscape pattern was found closely associated with the urban volume. In the entire study area, landscape pattern patches with low fragmentation and high aggregation were directly proportional to VM with high value, which represented high urbanization, and patches with high connectivity and fragmentation had a positive relationship with high VSD, which represented strong spatial recognition. (3) The urban volumes of different urban functional areas were affected by different landscape patterns, and the analysis based on the local development situation can explain the internal mechanism of the interaction between the landscape pattern and the urban volume.

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