GDRR 521 - Remote Sensing Applications in DRR and Climate Change

This course describes the latest knowledge on the basic concepts and analysis used in spatial data management involving Geographic Information Systems (GIS) and Remote Sensing (RS) for disaster applications.

Contact Hours

56 hours
1 meeting per week 4 hours per meeting
14 weeks

Course Learning Objectives

At the end of the course, the students shall be able to:
  1. CLO 1: Discuss the concepts and principles of remote sensing.
  2. CLO 2: Apply remote sensing in disaster risk reduction.
  3. CLO 3: Conduct remote sensing and image classification with satellite images.References

References

Call Number

Description

EL 526.9 D879 2004

Duggal, S. K. Surveying. Second edition. New Delhi, India : Tata McGraw-Hill Publishing Company Limited, ©2004.

EL 526.9 K171 2009

Kavanagh, Barry F. Surveying : principles and applications. 8th ed. Upper Saddle River, N.J. : Pearson, c2009.

ICS 526.9 G647 2007

Gopi, Satheesh. Advanced surveying : total station, GIS and remote sensing. India : Dorling Kindersley, c2007.

ICS 621.3678 R259 2001

Rees, W. G. Physical principles of remote sensing. 2nd ed. United Kingdom: Cambridge University Press, 2001.

Wiley ebook

Tupin, F. Remote sensing imagery. 2014.

Wiley ebook

Sharma, L.K., Pandey, P.C. Advances in remote sensing for natural resource monitoring. 2021

Wiley ebook

Kiefer, E. W., Chipman, J. and Lillesand, T. Remote sensing and image interpretation. 2015


https://www.usgs.gov

https://earth.esa.int/eogateway

https://www.sentinel-hub.com

https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset

https://data.humdata.org