Natural and environmental vulnerability analysis through remote sensing and GIS techniques: a case study of Indigirka River basin, Eastern Siberia, Russia

The aim of this research work is to understand natural and environmental vulnerability situation and its cause such as intensity, distribution and socio-economic effect in the Indigirka River basin, Eastern Siberia, Russia. This paper identifies, assess and classify natural and environmental vulnerability using landscape pattern from multidisciplinary approach, based on remote sensing and Geographical Information System (GIS) techniques. A model was developed by following thematic layers: land use/cover, vegetation, wetland, geology, geomorphology and soil in ArcGIS 10.2 software. According to numerical results vulnerability classified into five levels: low, sensible, moderate, high and extreme vulnerability by mean of cluster principal. Results are shows that in natural vulnerability maximum area covered by moderate (29.84%) and sensible (38.61%) vulnerability and environmental vulnerability concentrated by moderate (49.30%) vulnerability. So study area has at medial level vulnerability. The results found that the methodology applied was effective enough in the understanding of the current conservation circumstances of the river basin in relation to their environment with the help of remote sensing and GIS. This study is helpful for decision making for eco-environmental recovering and rebuilding as well as predicting the future development.

[1]  Till Sterzel,et al.  A new method for analysing socio-ecological patterns of vulnerability , 2015, Regional Environmental Change.

[2]  J. Hinkel.  “Indicators of vulnerability and adaptive capacity”: Towards a clarification of the science–policy interface , 2011 .

[3]  J. Padgett,et al.  Sustainability of Natural Hazard Risk Mitigation: Life Cycle Analysis of Environmental Indicators for Bridge Infrastructure , 2013 .

[4]  Alexander Kupriyanov,et al.  Four decades urban growth and land use change in Samara Russia through remote sensing and GIS techniques , 2015, International Conference on Graphic and Image Processing.

[5]  Vit Vozenilek,et al.  Urban growth in last three decades in Kuala Lumpur, Malaysia , 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

[6]  Meng Liu,et al.  Research on eco-environmental vulnerability evaluation of the Anning River Basin in the upper reaches of the Yangtze River , 2014, Environmental Earth Sciences.

[7]  W. Lutz,et al.  Guest Editorial, part of a Special Feature on Education and Differential Vulnerability to Natural Disasters Is Education a Key to Reducing Vulnerability to Natural Disasters and hence Unavoidable Climate Change? , 2014 .

[8]  M. Boori,et al.  Urbanization data of Samara city, Russia , 2016, Data in brief.

[9]  Ganlin Huang,et al.  Cumulative Environmental Vulnerability and Environmental Justice in California’s San Joaquin Valley , 2012, International journal of environmental research and public health.

[10]  K. K. Das,et al.  Environmental vulnerability assessment of eco-development zone of Great Himalayan National Park, Himachal Pradesh, India , 2015 .

[11]  J. Balmes,et al.  Evaluation of a Heat Vulnerability Index on Abnormally Hot Days: An Environmental Public Health Tracking Study , 2012, Environmental health perspectives.

[12]  Luis G. Vargas,et al.  Prediction, Projection And Forecasting , 1990 .

[13]  Куприянов Александр Викторович,et al.  Методы анализа спутниковых изображений для исследования урбанизации и землепользования в период с 1975 по 2015 г. в г. Самаре , 2015 .

[14]  R. Ferraro,et al.  Global Land Cover Classification Based on Microwave Polarization and Gradient Ratio (MPGR) , 2015 .

[15]  M. Boori,et al.  Satellite data for Singapore, Manila and Kuala Lumpur city growth analysis , 2016, Data in brief.

[16]  O. Young.  Institutional dynamics: Resilience, vulnerability and adaptation in environmental and resource regimes , 2010 .

[17]  A. Romero,et al.  Integrated assessment for establishing an oil environmental vulnerability map: case study for the Santos Basin region, Brazil. , 2013, Marine pollution bulletin.

[18]  Roberta Aretano,et al.  Mapping ecological vulnerability to fire for effective conservation management of natural protected areas , 2015 .

[19]  B. Pradhan,et al.  Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Balochestan (Iran) , 2014, Environmental Earth Sciences.