Applied Examples

  • Surekha Borra
  • Rohit Thanki
  • Nilanjan Dey
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


Satellite images provide much information about the Earth’s surface in a shorter period. The availability of various types of images (multitemporal, multispectral, multiresolution, and multisensory data) became a helpful tool in the evolution of remote sensing-based digital imaging. This chapter explores the applications of classification and clustering techniques when applied on multispectral and hyperspectral satellite images. The automatic analysis of satellite images aids in effective decision-making, thematic map creation, information extraction, disaster management, and field survey to name a few. The applications of satellite image classification in meteorology, oceanography, fishing, agriculture, biodiversity conservation, forestry, intelligence, crisis information, emergency mapping, disaster monitoring, and thermal applications are presented.


Applications Crisis Disaster Land cover Thermal Satellite image analysis 


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Copyright information

© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Surekha Borra
    • 1
  • Rohit Thanki
    • 2
  • Nilanjan Dey
    • 3
  1. 1.Department of Electronics and Communication EngineeringK.S. Institute of TechnologyBengaluruIndia
  2. 2.Faculty of Technology and Engineering, Department of ECEC. U. Shah UniversityWadhwan cityIndia
  3. 3.Department of Information TechnologyTechno India College of TechnologyKolkataIndia

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