Geo-environment and related Disasters – a Geo-spatial Approach
J. Environ. Nanotechnol., Volume 8, No 1 (2019) pp. 01-05
Abstract
Natural disasters have become fast-growing epidemics around the world in general. The disasters like earthquakes, landslides, floods, cyclones and other coastal hazards are already crippling the development and growth of the country. In the recent decades, the "Earth Observing Satellites" are producing unparalleled pictures on various spectral, spatial and temporal resolutions, whereas the fast-emerging "Geospatial Technology" (GIS) has proved its credentials beyond doubt in storing, manipulating, modeling and visualizing various phenomena related to Earth System Dynamics. In this context, an attempt has been made in this work to map and discuss the disasters like earthquakes, landslides, soil erosion, floods and cyclone on their pattern and spatial variation. The geomatics-based integrated terrain analysis, leads to the detection of landslide-prone areas, causative factors, and predictive models. Flood is yet another major disaster causing a greater impediment to countries, which are aspiring to grow faster. Though methodologies have been developed for flood hazard zonation mapping, the geomatics has not been utilized to its fullest level. The geospatial databases are critical inputs for studies in the emerging area of environmental monitoring, global warming and climate change.
Full Text
Reference
Babita Pal and Sailesh Samanta., Estimation of soil loss using remote sensing and geographic information system techniques (Case study of Kaliaghai River basin, Purba & Paschim Medinipur District, West Bengal, India), Ind. J. Sci. Technol., 4(10), 1202-1207(2011).
https://doi.org/10.17485/ijst/2011/v4i10/30159
Davison, C., On the creeping of soilcap through the action of frost, Geological Magazine, New Ser., 6(6), 255-261(1889).
https://doi.org/10.1017/S0016756800176277
Gangopadhyay, P. K., Malthuis, B. and Van Dijk, P., ASTER-derived emissivity and coal-fire related surface temperature anomaly a case study in Wuda, North China, Int. J. Remote Sens., 26(24), 5555-5571(2005).
https://doi.org/10.1080/01431160500291959
Kelarestaghi, Investigation of Effective Factors on Landslides Occurrence and Landslide Hazard Zonation – Case Study Shirin Rood Drainage Basin, |Sari, Iran, Geospatial World, (Map Asia 2003).
Millward, A. A., and Mersey, J. E., Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed, Catena, 38, 109–129(1999).
https://doi.org/10.1016/S0341-8162(99)00067-3
Nuket Benzer., Using the Geographical Information System and Remote Sensing Techniques for Soil Erosion Assessment, Polish J. of Environ. Stud., 19(5), 881-886(2009).
Ramasamy, S. M. and Muthukumar, M., Geospatial Modelling of Geosystems and Landslides Mapping and Mitigation, The Nilgiri Mountains, South India, J. of Indian Landslides, 45-54(2008).
Tagore, G. S., Bairagi, G. D., Sharma, N. K., Sharma, R., Bhelawe, S. and Verma, P. K., Mapping of Degraded Lands Using Remote Sensing and GIS Techniques, J. Agr. Phy., 12(1), 29-36(2012).
Valdiya, K. S., Tectonic resurgence of the Mysore Plateau and Surrounding region in Cratonic South India, Current Sci., 81(8), 1068-1089(2001).
Van de Griend, A. A. and Owe, M., On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces, Int. J. Remote Sens., 14(6): 1119–1131(1993).
https://doi.org/10.1080/01431169308904400
Varne, D. J., Landslide types and processes, In: Landslides and engineering practice: Washington Highway Research Board, Special report 29, NAS-NRC publication 544, 20-47(1958).
Wang, G., Gertner, G., Fang, S. and Anderson, A. B., Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map, Photogrammetric Engineering and Remote Sensing, 69(8), 889–898(2003).
https://doi.org/10.14358/PERS.69.8.889
Wentworth, C. K, Soil avalanches on Oahu, Hawaii, Geological Society of America, Bulletin, 54(1), 53-64(1943).
https://doi.org/10.1130/GSAB-54-53
Yahya Farhan., Dalal Zregat., and Ibrahim Farhan., Spatial Estimation of Soil Erosion Risk Using RUSLE Approach, RS, and GIS Techniques: A Case Study of Kufranja Watershed, Northern Jordan, J. Wat. Res. Protect., 5(12), 1247-1261(2013).
