Satellite Remote Sensing Sensors: Principles and Applications

  • G. P. Obi Reddy
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 21)


Remote sensing (RS) refers to the science of identification of Earth surface features and estimation of their geo-biophysical properties using electromagnetic radiation as a medium of interaction. Satellite remote sensing, with its synoptic view of the Earth’s features, regular repetitive coverage over large areas, and digital mode of data capture, offers an effective means of mapping, monitoring, and management of land resources and environmental impacts near real time, providing a historical profile for monitoring the Earth’s features. Satellite sensors record information about the Earth’s surface by measuring the transmission of energy from the surface in different portions of the electromagnetic spectrum (EMS). The optical remote sensing devices operate in the visible, near-infrared, middle-infrared, and shortwave infrared portion of the electromagnetic spectrum. These devices are sensitive to the wavelengths ranging from 300 nm to 3000 nm. The sensors, which operate in thermal range of electromagnetic spectrum, record the energy emitted from the Earth features in the wavelength ranges of 3000–5000 nm and 8000 nm to 14,000 nm. A microwave remote sensor records the backscattered microwaves in the wavelength range of 1 mm–1 m of electromagnetic spectrum. A wide variety of satellite remote sensing data from Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat, IRS-IC, IRS-ID, IRS-P6, Cartosat-1, Cartosat-2, QuickBird, and Google are available to the Earth scientists for generation of spatial database on natural resources for various applications. Analysis of multiple-date satellite imagery provides information in mapping, monitoring, and management of land resources on periodical basis.


Electromagnetic radiation Electromagnetic spectrum Remote sensing Remote sensing sensors 


  1. Campbell JB (1996) Introduction to remote sensing. Taylor & Francis, LondonGoogle Scholar
  2. Campbell JB, Wynne RH (2011) Introdcution to remote sensing, 5th edn. Taylor & Francis, London, pp 31–56Google Scholar
  3. Colwell RN (ed) (1983) Manual of remote sensing, 2nd edn. Vol I: theory, instruments and techniques. American Society of Photogrammetry and Remote Sensing ASPRS, Falls ChurchGoogle Scholar
  4. Curran PJ (1985) Principles of remote sensing. Longman Group Limited, LondonGoogle Scholar
  5. Elachi C (1987) Introduction to the physics and techniques of remote sensing. Wiley Series in Remote Sensing, New York.
  6. Jenson JR (2007) Remote sensing of the environment: an earth resource perspective. Person Prentice HallGoogle Scholar
  7. Joseph G (1996) Imaging sensors. Remote Sens Rev 13:257–342CrossRefGoogle Scholar
  8. Lillesand TM, Kiefer R (1993) Remote sensing and image interpretation, 3rd edn. Wiley, New YorkGoogle Scholar
  9. Lillesand TM, Kiefer RW (1994) Remote sensing and image interpretation. WileyGoogle Scholar
  10. Reddy GPO (2012) Principles of digital image processing, In: Reddy GPO, Sarkar D (eds) Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152, pp 86–97Google Scholar
  11. Sabins Jr, Floyd F (1978) Remote sensing: principles and interpretation. W. H, Freeman and CompanyGoogle Scholar
  12. Sabins FF (1997) Remote sensing and principles and image interpretation. WH Freeman, New YorkGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • G. P. Obi Reddy
    • 1
  1. 1.ICAR-National Bureau of Soil Survey & Land Use PlanningNagpurIndia

Personalised recommendations