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Research Article

Hydro sheds Detection In Sentinel-2A Images in GIS: A Deep Learning Approach

Dr. J.B. Jona1 S.A. Gunasekaran2 Kavya3 Megavarniya4 R.R.Venketesz5
1Associate Professor, Dept. of Computer Applications, Coimbatore Institute of Technology, Tamilnadu, India. 2Assistant Professor, Dept. of Computer Applications, Coimbatore Institute of Technology, Tamilnadu, India. 345 Students, Dept. of Computer Applications, Coimbatore Institute of Technology, Tamilnadu, India.

Published Online: May-June 2022

Pages: 444-451

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References

1. Renu Khandelwal, “Convolutional neural network : feature map and filter visualisation”, towardsdatascience.com
2. Jonathan Johnson, “Deep-Neural-Network”, bmc.com
3. https://developers.google.com/earth-engine/guides/feature_collections?hl=en, “Feature Collection Overview”, ArcGIS software.
4. Fichera CR, Modica G, Pollino M., “Land Cover classification and change-detection analysis using multi-temporal remote sensed
imagery and landscape metrics”, European Journal of Remote Sensing, 2012, 45: 1-18.
5. Jingwei Hou, Xingang Fan and Rentao Liu, “Optimal spatial allocation of irrigation water under uncertainty using the bilayer
nested optimisation algorithm and geospatial technology”, International Journal of Geographical Information Science, Volume 30,
2016 - Issue 12.
6. Kate Alison, “Core GIS : Land Use and Land Cover & Change Detection” – Udemy course.
7. Minerva Singh, “Complete google Earth Engine for Remote Sensing in GIS” – Udemy course.

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