Improving Earth Observations by correlating Multiple Satellite Data: A Comparative Analysis of Landsat, MODIS and Sentinel Satellite Data for Flood Mapping-Reference-Cited by-同舟云学术

Improving Earth Observations by correlating Multiple Satellite Data: A Comparative Analysis of Landsat, MODIS and Sentinel Satellite Data for Flood Mapping

Published:2024-02-28 Issue: Volume: Page:
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Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
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Author:

Kadam Sonali¹,Kadam Anjali¹,Devale Prakash²,Bandgar Ahilya¹,Manepatil Rajlaxmi¹,Kale Ravindra³,Gujar Jotiram⁴,Bundele Chanchal¹,Chavan Tanmayi¹

Affiliation:

1. Bharati Vidyapeeth’s College of Engineering for Women,Department of Computer Engineering,Pune,Maharashtra

2. Bharati Vidyapeeth (Deemed to be) University College of Engineering,Department of Information Technology,Pune,Maharashtra

3. National Institute of Hydrology,Roorkee,Uttarakhand,India

4. Sinhgad College of Engineering,Department of Chemical Engineering,Pune,Maharashtra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498948.pdf?arnumber=10498948

Reference26 articles.

1. The Mfoundi Watershed at Yaoundé in the Humid Tropical Zone of Cameroon: A Case Study of Urban Flood Susceptibility Mapping

2. Flood Risk in Rivers: Climate Driven or Morphological Adjustment

3. A stochastic approach to the flood control problem

4. Artificial neural network based predictive method for flood disaster

5. Application of an improved linear storage routing model for the estimation of large floods

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