![]() Human Settlement Analysis Group, IIRS, Dept. Remote Sensing and GIS Application in Urban and Regional Studies. Journal of Mineralogical and Petrological Sciences, 99, 83–103. Application of Remote Sensing and GIS in Mineral Resource Mapping –An Overview. International Journal of Coal Geology, 59, 107–119. Design and Implementation of a Dedicated Prototype GIS for Coal Fire Investigation in North China. Remote Sensing of Environment, 82, 481–496. Mapping Forest Post Fire Canopy Consumption in Several Overstory Types Using Multi-Temporal Landsat TM And ETM Data. Journal of Environmental Management, 75, 325–336. 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. Flood delineation in a large and complex alluvial valley, lower Panuco basin, Mexico. Evaluation of 1D and 2D numerical models for predicting river flood inundation. Expert Systems with Applications, 36, 571–588. Object-oriented change detection for the city of Harare, Zimbabwe. A distributed model for real-time flood forecasting using digital elevation models. International Journal of Applied Earth Observation and Geoinformation, 8, 188–195. Application of remote sensing to identify coalfires in the Raniganj Coalbelt, India. Blue-print for a physically-based digitally simulated hydrologic response model. Flood inundation simulation in a river basin using a physically based distributed hydrologic model. ISPRS Journal of Photogrammetry & Remote Sensing, 60, 113–128.ĭutta, D., Herath, S. Coal Fire Mapping From Satellite Thermal IR Data – A Case Example in Jharia Coalfield, Jharkhand, India. IEEE Transactions on Geosciences and Remote Sensing, 41, 11.Ĭhatterjee, R.S., 2006. Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges. ![]() Investigation of flood inundation on playas within the Zone of Chotts, using a time-series of AVHRR. Kluwer Academic Publisher, London.īecker, A. Remote Sensing and Geographical Information Systems for Recourse Management in Developing Countries. Journal of Hydrologic Engineering, 8(6), 308–318.īelward, A.S. Radar-based flood warning system applied to tropical storm Allison. Hydrological Processes, 18, 2593–2597.īedient, P.B., Holder, A., Benavides, J.A. Remote sensing and flood inundation modeling. This process is experimental and the keywords may be updated as the learning algorithm improves.īates, P.D., 2004. These keywords were added by machine and not by the authors. These high resolution images can be effectively used for making digital elevation models (DEM), water resources management and several other applications. 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. Satellites providing images are IRS-1A, 1B, 1C, 1D, P5, P6 and OCEANSAT. PAN, LISS I, LISS II, LISS III, OCM, WIFS, and AWIFS. In India, National Remote Sensing Centre (NRSC), Hyderabad maintains databases of earth surface images using various sensors, viz. The satellite images of an area are records of its changing hydro-geomorphology over time. Remote sensing images provide reliable surface information for large spatial areas. Remote Sensing is basically used by the scientific community for mapping and monitoring of natural resources on the surface of the earth. 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.
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