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Application of Remote Sensing and GIS for Detecting Land Use Changes: A Case Study of Vadodara


  Analysis and Results
The classification accuracy was analysed to be for land sat-5 TM 87.50% and land sat -7 ETM+ 84.33% The Kappa coefficient, which measures the reliability of the result, were analysed to be 0.857for 1and sat 5 TM and 0.8214 for land sat-7 ETM+.

From (table 3 )it can be depicted that there is increase in the agricultural area by 1.49% may be due to canal net work introduced while the fallow land have decreased by 12.95%and open land have also decreased by 1.48% at the same time the built up land dense and less dense have both increased . This may be due to the conversion of fallow land into other uses. New institutes and expansion of settlements and industrial plots have been responsible for such changes. Built up area is increasing and expanding towards west, south and NW.

Transport routes of NH and Express highway in NW, industrial estates may have resulted in each change. Population pressure is experienced, adding to increased built up area. The infrastructure facility like road etc. all adds up to built up area. VUDA suffers from such conflicting uses of conversion of peri agricultural land i.e. fallow land is being converted into other uses. Direction of change and levels of changes can be thus detected from satellite data. The drivers of such changes needs to be further investigated for planning purpose. In near future again changes will be witnessed with implementation of SEZ in the area.

Class Reference Classified Number ProducersUsers
Name TotalsTotals CorrectAccuracy Accuracy
Crop Land 22 2018 81.82% 90.00%
Dense Built-up Land 18 20 16 88.89% 80.00%
Less dense built-up Land 27 20 1866.67% 90.00%
Vegetation 18 201688.89%80.00%
Water bodies21202095.24%100.00%
Fallow Land 16 20 16 100.00% 80.00%
Open land 202019 95.00% 95.00%
Others 1820 17 94.44% 85.00%
Totals 160 160 140  
Table3. Land use statistics in the study area (1990- 2001). ACCURACY ASSESSMENT FOR LANDSAT-5 TM 1990


   Overall Classification Accuracy = 87.50%

   Overall Kappa Statistics = 0.8571

Class Reference Classified Number ProducersUsers
Name TotalsTotals CorrectAccuracy Accuracy
Crop Land 26 2018 69.23% 90.00%
Dense Built-up Land 20 20 19 95.00% 95.00%
Less dense built-up Land 17 20 1694.12% 80.00%
Vegetation 20 2017 85.00% 85.00%
Water bodies21202095.24%100.00%
Fallow Land 25 20 16 64.00% 80.00%
Open land 152015 100.00% 75.00%
Others 1620 1484.50% 70.00%
Totals 160 160 135  

ACCURACY ASSESSMENT FOR LANDSAT-7 ETM + 2001


Overall Classification Accuracy = 84.38%

Overall Kappa Statistics = 0.8214

Conclusion
In the course of urban spread, valuable land is being converted for building, industry, transport facilities etc. Land being inadequate, government may need to develop policies to maintain it for intensive cropping and encourage peri-urban agriculture. An absence of any land use planning may lead to land degradation. Un-planned decisions may result into misery for large segment of the local population and destruction of valuable eco-system. Techniques for the planning and management of land resources specifically integrated and holistic will check long term quality of the land for human use, their prevention or resolution of social conflicts related to land use, and the conversion of ecosystem.

Thus it is, essential to review the conventional planning methods and introduce innovative measures like geo- referencing technologies in this regard.

Acknowledgement
We would like to express our gratitude to Department Of Science and Technology, Government of India (SRS4/ES 21/ Baroda Window/ P6) SSS for granting financial aid. We also express due thanks to Prof.L.S.Chamyal, for his constant encouragement.

Reference
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