Abstract
Remote Sensing (RS) is the science and art of obtaining information about an object without touching or changing the object, specifically, the Earth’s surface or atmosphere (Lillesand et al. 2004). Remote Sensing is basically used by the scientific community for mapping and monitoring of natural resources on the surface of the earth. Remote sensing images provide reliable surface information for large spatial areas. The satellite images of an area are records of its changing hydro-geomorphology over time. In India, National Remote Sensing Centre (NRSC), Hyderabad maintains databases of earth surface images using various sensors, viz. PAN, LISS I, LISS II, LISS III, OCM, WIFS, and AWIFS. Satellites providing images are IRS-1A, 1B, 1C, 1D, P5, P6 and OCEANSAT. India currently has 5 Cartosat satellites (1, 2, 2A, 2B, and 2C) with resolution ranging from 1 m (Cartosat-2) to the most recent one (Cartosat 2C launched on 22 June 2016) providing images with resolution of 25 cm. These high resolution images can be effectively used for making digital elevation models (DEM), water resources management and several other applications.
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References
Bates, P.D., 2004. Remote sensing and flood inundation modeling. Hydrological Processes, 18, 2593–2597.
Bedient, P.B., Holder, A., Benavides, J.A. and Vieux, B.E., 2003. Radar-based flood warning system applied to tropical storm Allison. Journal of Hydrologic Engineering, 8(6), 308–318.
Belward, A.S. and Valenzuela, C.R., 1990. Remote Sensing and Geographical Information Systems for Recourse Management in Developing Countries. Kluwer Academic Publisher, London.
Becker, A. and Grunewald, U., 2003. Flood risk in central Europe. Science, 300(5622), 1099.
Bryant, R.G. and Rainey, M.P., 2002. Investigation of flood inundation on playas within the Zone of Chotts, using a time-series of AVHRR. Remote Sensing of Environment, 82(2/3), 360–375.
Chander, G. and Markham, B., 2003. Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges. IEEE Transactions on Geosciences and Remote Sensing, 41, 11.
Chatterjee, R.S., 2006. Coal Fire Mapping From Satellite Thermal IR Data – A Case Example in Jharia Coalfield, Jharkhand, India. ISPRS Journal of Photogrammetry & Remote Sensing, 60, 113–128.
Dutta, D., Herath, S. and Musiake, K., 2000. Flood inundation simulation in a river basin using a physically based distributed hydrologic model. Hydrological Processes, 14(3), 497–519.
Freeze, R.A. and Harlan, R.L., 1969. Blue-print for a physically-based digitally simulated hydrologic response model. Journal of Hydrology, 9, 237–258.
Gangopadhyay, P.K., Dutt, K.L. and Saha, K., 2006. Application of remote sensing to identify coalfires in the Raniganj Coalbelt, India. International Journal of Applied Earth Observation and Geoinformation, 8, 188–195.
Garrote, L. and Bras, R.L., 1995. A distributed model for real-time flood forecasting using digital elevation models. Journal of Hydrology, 167, 279–306.
Gamanya R., Maeyer, P.D. and Dapper, M.D., 2007. Object-oriented change detection for the city of Harare, Zimbabwe. Expert Systems with Applications , 36, 571–588.
Horritt, M.S. and Bates, P.D., 2002. Evaluation of 1D and 2D numerical models for predicting river flood inundation. Journal of Hydrology, 268(1–4), 87–99.
Hudson, P.F. and Colditz, R.R., 2003. Flood delineation in a large and complex alluvial valley, lower Panuco basin, Mexico. Journal of Hydrology, 280, 229–245.
Knebl, M.R., Yanga, Z.L., Hutchison, K. and Maidment, D.R., 2005. Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: A case study for the San Antonio River Basin Summer 2002 storm event. Journal of Environmental Management, 75, 325–336.
Lillesand, T.M., Kiefer, R.W. and Chipman, J.W., 2004. Remote Sensing and Image Interpretation. John Wiley, Singapore.
Miller, J.D. and Yool, S.R., 2002. Mapping Forest Post Fire Canopy Consumption in Several Overstory Types Using Multi-Temporal Landsat TM And ETM Data. Remote Sensing of Environment, 82, 481–496.
Prakash, A. and Vekerdy, Z., 2004. Design and Implementation of a Dedicated Prototype GIS for Coal Fire Investigation in North China. International Journal of Coal Geology, 59, 107–119.
Rajesh, H.M., 2004. Application of Remote Sensing and GIS in Mineral Resource Mapping –An Overview. Journal of Mineralogical and Petrological Sciences, 99, 83–103.
Roy, P.S., Subudhi, A.P. and Sokhi, B.S., 2001. Remote Sensing and GIS Application in Urban and Regional Studies. Human Settlement Analysis Group, IIRS, Dept. of Space, GOI, Dehradun, India.
Singh, R.M. and Dwivedi, C.S., 1994. A Study of Coal Facies in the Korba Sub-basin, Mahanandi Valley, India. International Journal of Coal Geology, 25, 113–132.
Sheng, Y., Gong, P. and Xiao, Q., 2001. Quantitative dynamic flood monitoring with NOAA AVHRR. International Journal of Remote Sensing, 22(9), 1709–1724.
Townsend, P.A. and Walsh, S.J., 1998. Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing. Geomorphology, 21(3/4), 295–312.
WMO (World Meteorological Organization), 2003. Our Future Climate (Publication WO-952).
Acknowledgements
The authors thank Central Water Commission (CWC) for providing the necessary data. The authors also thank Board of Research in Nuclear Sciences (BRNS) and Space Application Center (SAC), Ahmedabad for sponsoring these projects. The authors express their deep gratitude to Uranium Corporation of India Limited (UCIL) for sharing valuable information and providing constant support for this research work
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Deb, D. (2017). Applications of Remote Sensing and Geographical Information System (GIS) in Assimilation of Environmental Data. In: Goel, S. (eds) Advances in Solid and Hazardous Waste Management. Springer, Cham. https://doi.org/10.1007/978-3-319-57076-1_6
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