Land Feature Extraction-Identification and Descrimincation using Geospatial Technique

11 pages•Published: July 22, 2017

Dharmesh Modi, Subhash Bhandari and Laxmansinh B. Zala

Abstract

The Gulf of Cambay/Khambhat, (GoC), the study area is highly influenced by the tidal currents other than geological and structural set up of the region. In Gulf of Cambay, a large tidal range during high and low tides give rise to strong tidal currents and develops a mechanism of sediment transportation. Interestingly the inverted funnel shape of GoC has large contribution for the sediment deposition in this region. During high tide the tide currents move into the Gulf and encroaches the river mouth whereas during low tide, they move out. This regular phenomena since long period on geological time scale has modified the geomorphological features in this region.
Along the major estuaries of Sabarmati, Mahi, Narmada and Tapi, the sediment budget is controlled by seasonal variation and also by tide and ebb phenomena.
Using remote sensing images of different time scale and topographical map one can study the changes in geomorphological features. Satellite remote sensing technique has proven to be the paramount tool for studying surficial land features, especially for the inaccessible area or where time variable studies and regional scale studies are carried out. The well-developed natural or artificial features near to coastline viz salt pan, marshy land, mudflats, rocky cliffs, alluvial cliffs, wet land, mangroves, erosional and depositional features are well studied with the help of remote sensing techniques.

Keyphrases: goc coastalbelt remote sensing techniques, intertidal zone descrimination, land feature tidal flats

In: C. D. Modhera, G. J. Joshi, D.P Soni, Indrajit N. Patel, A. K. Verma, L. B. Zala, S. D. Dhiman, D. R. Bhatt, Jagdish M. Rathod, Bhargav C. Goradiya, Mehfuza S. Holia and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Civil Engineering, vol 1, pages 248-258.

Links:	https://easychair.org/publications/paper/Wkz
	https://doi.org/10.29007/ckgd

BibTeX entry

@inproceedings{ICRISET2017:Land_Feature_Extraction_Identification,
  author    = {Dharmesh Modi and Subhash Bhandari and Laxmansinh B. Zala},
  title     = {Land Feature Extraction-Identification and Descrimincation using Geospatial Technique},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in  Science, Engineering and Technology. Selected Papers in Civil Engineering},
  editor    = {C. D. Modhera and G. J. Joshi and D.P Soni and Indrajit N. Patel and A. K. Verma and L. B. Zala and S. D. Dhiman and D. R. Bhatt and Jagdish M. Rathod and Bhargav C. Goradiya and Mehfuza S. Holia and Dharita K. Patel},
  series    = {Kalpa Publications in Civil Engineering},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1789},
  url       = {/publications/paper/Wkz},
  doi       = {10.29007/ckgd},
  pages     = {248-258},
  year      = {2017}}

Download PDF Open PDF in browser