Future aspects and potential of the remote sensing technology to meet the natural resource needs

Laxmi Kant Sharma, Rajit Gupta, Prem Chandra Pandey

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

19 Citations (Scopus)

Abstract

Remote sensing (RS) technology is revolutionizing our understanding of Earth's observation (EO) and natural resources management. However, effective natural resource management needs accurate, advance, and timely information on existing as well as potential future techniques. Nowadays, there is a substantial amount of EO data, including airborne and spaceborne sensors, from several countries worldwide, which provide a massive amount of different data varying in input dimensions (spatial, spectral, and temporal resolution). These different remotely sensed datasets are being employed and used for different applications and multidisciplinary research in vegetation, soil and land, water, natural hazards, disaster mapping, and many more. These interdisciplinary research applications are mostly data driven and affected by the input dimensions for the outcomes, and are becoming an integral part with economic assets in the above research applications. In this chapter, we explicitly analyze the central potentials, limitations, challenges, and future aspects of the advancement of remotely sensed datasets in natural resource monitoring. This book is primarily aimed in applying and exploring the applications of advance RS in natural resources management. Different chapters highlighted the use of advance RS in areas such as forestry, hydrology, biodiversity conservation and habitat distribution, glacier mapping, geological mapping, disaster management, soil and agricultural monitoring, and wetland management. In this chapter, the history, current status, and potential, along with the major challenges and future aspects in RS for natural resources management were highlighted and discussed. Use of optical RS and SAR (synthetic aperture radar) in recent studies is considered. Furthermore, the use of advanced RS such as hyperspectral and LiDAR (Light Detection And Ranging) and their potential applications in natural resources management is also highlighted. In general, this chapter summarizes some significant advancements of RS technology, their potentials, challenges, and future aspects occurring over time, which provides extensive opportunities in the monitoring and management of natural resources in a sustainable way.
Original languageEnglish
Title of host publicationAdvances in Remote Sensing for Natural Resource Monitoring
PublisherWiley
Chapter22
Pages447-464
Number of pages18
ISBN (Electronic)9781119616016
ISBN (Print)9781119615972
DOIs
Publication statusPublished - 2021
MoE publication typeA3 Part of a book or another research book

Keywords

  • Hyperspectral
  • Lidar
  • Management and monitoring
  • Multispectral
  • Natural resources
  • Remote sensing

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