scholarly journals Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems

2021 ◽  
Vol 12 (3) ◽  
pp. 175-180
Author(s):  
Onyedikachim Ihuoma Njoku ◽  
Joel Izuchukwu Igbokwe

The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite data from United States Geological Survey (USGS) for the period of years under study, social survey in Owerri Municipal Area for socio-economic impact monitoring. ArcGIS 10.5 and QGIS 2.9 software were used for data processing, analysis and presentation. The study observed a significant increase in built-up area from 1987 (34%) to 2017 (65%), on the contrary, there was a noticeable decrease in the class of bare land (26% to 12%) and vegetation. (37% to 15%) followed by water body which kept fluctuating as result of rainfall. Rapid population growth triggered by rural urban migration coupled with hasty socio-economic development were the main drivers of these changes. Results showed that remote sensing and GIS approach are recommended for further studies as the tools are efficient for landcover/landuse mapping.

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Fanny Vardon-Bounes ◽  
Romain Gracia ◽  
Timothée Abaziou ◽  
Laure Crognier ◽  
Thierry Seguin ◽  
...  

Abstract Background The long-term fate of severely injured patients in terms of their quality of life is not well known. Our aim was to assess the quality of life of patients who have suffered moderate to severe trauma and to identify primary factors of long-term quality of life impairment. Methods A prospective monocentric study conducted on a number of patients who were victims of moderate to severe injuries during the year 2012. Patients were selected based on an Injury Severity Score (ISS) more than or equal to 9. Quality of life was assessed by the MOS SF-36 and NHP scores as a primary evaluation criterion. The secondary evaluation criteria were the determination of the socio-economic impact on quality of life and the identification of factors associated with disability. Results Two hundred and eight patients were contacted by e-mail or telephone. Fifty-five patients participated in this study (with a participation level of 26.4%), including 78.2% men, with a median age of 46. Significant alterations in quality of life were observed with the NHP and MOS SF-36 scale, including physical and psychological components. This resulted in a major socio-economic impact as 26% of the patients could not resume their professional activities (n = 10), 20% required retraining in other lines of work, and 36.4% had a disability status. The study showed that scores ≤ 85 on the physical functioning variable of the MOS SF 36 scale was associated with disability. Conclusion More than five years after a moderate to severe injury, patients’ quality of life was significantly impacted, resulting in significant socio-economic consequences. Disability secondary to major trauma seems to be associated with a score ≤ 85 on the physical functioning dimension of the MOS SF-36 scale. This study raises the question of whether or not early rehabilitation programs should be implemented in order to limit the long-term impact of major trauma.


2020 ◽  
Vol 43 (7) ◽  
pp. 619-623
Author(s):  
Thota Sivasankar ◽  
Suranjana B. Borah ◽  
Ranjit Das ◽  
P. L. N. Raju

Author(s):  
K. Kanja ◽  
M. Mwemba ◽  
K. Malunga

<p><strong>Abstract.</strong> Rapid population growth and rural-urban migration amidst limited job opportunities lead to conversion of land from forests into agriculture and other land uses. In this study, Zambia’s Mwekera national forest reserve was used as a case study to assess the rate of expansion of agricultural fields using remote sensing and GIS. Iterative Self-Organizing Data Analysis Technique (ISODATA) as well as maximum likelihood supervised classification on four Landsat images as well as accuracy assessment of the classifications was performed. Over the period under observation, results indicate annual percentage changes to be &amp;minus;0.03, &amp;minus;0.49 and 1.26 for agriculture, forests and settlement respectively indicating a higher conversion of forests into human settlements and agriculture.</p>


2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Temitope F. Ajibade ◽  
Nathaniel A. Nwogwu ◽  
Fidelis O. Ajibade ◽  
Bashir Adelodun ◽  
Temitope E. Idowu ◽  
...  

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