Spatial modelling for natural and environmental vulnerability through remote sensing and GIS in Astrakhan, Russia
Komal Choudhary a,⇑ , Mukesh Singh Boori a,b,c , Alexander Kupriyanov a
a Samara State Aerospace University, Samara, Russia
b American Sentinel University, CO, USA
c Hokkaido University, Sapporo, Japan
The Egyptian Journal of Remote Sensing and Space Sciences - Available online 31 May 2017
Choudhary, K., et al.. Egypt. J. Remote Sensing Space Sci. (2017),
abstract
This research work presents vulnerability mapping with land use/cover change detection in Astrakhan city Russia. This study identifies, assess and classify vulnerability using landscape pattern from multidisciplinary approach based on remote sensing (RS) and geographical information system (GIS) approach. To identify vulnerability we used following thematic layers: land use/cover, vegetation, soil, geology and geomorphology in ArcGIS software. According to numerical results vulnerability classified into five levels: low, reasonable, moderate, high and extreme vulnerability by mean of cluster principal. The results indicated a large presence of area with moderate vulnerability (54.62%). All potentially polluted lands showed more than half of their areas as moderate (54.62%) and reasonable vulnerability (33.56%) regions. In the study area encroachment, population growth, industrialization and governmental polices for environmental protection were found to be the major factors that caused the main changes. This study is helpful for decision making for eco-environmental recovering and rebuilding as well as predicting the future development.
Keywords: Land use/cover GIS Remote sensing
Vulnerability
6. Conclusions
It is observed that study area has experienced various land use/- cover and vulnerability changes in past 15 years. The passage of time, the vegetation covers forest areas. Forest and low vegetation cover have reduced by 7.30% and 7.83% respectively. This trend indicates growth in population size, increased deforestation and conversion of farm lands to built-up, extension in roads, continuation of uncontrolled grazing activities and a number of allied reasons (Boori et al., 2016b). Population growth seems to be an important factor in causing shrinkage of vegetation zone. The increasing population not only overburdens the states forest but equally cause pressure on private factors
The area under barren land and built-up has increased over time by 1.92%, which is an indication of increase in number of landslides. The second part of this study area focus on the preparation of an erosion risk map. The risk map project the erosion perceptive area in relative to their vulnerability level. Natural and environmental vulnerability can be modelled by using remote sensing and GIS. There is very less extreme natural vulnerability. It is noticeable that the area falling under very high risk category (extreme vulnerability) excels in size 0.15% than the area under high risk category (high vulnerability) 6.05%. The area under low risk category (low vulnerability) 5.62% and makes the reasonable vulnerability is (5.62%). The total whereby is accepted as medium risk area (moderate vulnerability) is 54.62%.
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