Transcription of Remote Sensing Applications
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IivRemote Sensing Applications Chapter # Title/AuthorsPage Sai MVR, Ramana KV & Hebbar R2 Land use and Land cover Analysis21 Sudhakar S & Kameshwara Rao SVC3 Forest and Vegetation49 Murthy MSR & Jha CS4 Soils and Land Degradation81 Ravishankar T & Sreenivas K5 Urban and Regional Planning109 Venugopala Rao K, Ramesh B, Bhavani SVL & Kamini J6 Water Resources Management133 Rao VV & Raju PV7 Geosciences165 Vinod Kumar K & Arindam Guha8 Groundwater203 Subramanian SK & Seshadri K9 Oceans217 Ali MM, Rao KH , Rao MV & Sridhar PN10 Atmosphere251 Badrinath KVS11 Cyclones273 Ali MM12 Flood Disaster Management283 Bhanumurthy V , Manjusree P & Srinivasa Rao G13 Agricultural Drought Monitoring and Assessment303 Murthy CS & Sesha Sai MVR14 Landslides331 Vinod Kumar K & Tapas RM15 Earthquake and Active Faults339 Vinod Kumar K16 Forest Fire Monitoring351 Biswadip Gharai, Badrinath KVS & Murthy Sensing is broadly defined as collecting and interpreting information about a target without being inphysical contact with the object.
Hyperspectral images collected within narrow and ... or images. Tone is directly related to reflectance of light from terrain features. For example, water which absorbs nearly all incident light produces black tone, whereas, a dry sand reflects a ... relationships is characteristic of many objects, both natural and man made, and gives objects a ...
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