Indian Journal of Ecology
Web of Science
  • Year: 2022
  • Volume: 49
  • Issue: 5

Remote sensing and geographic information system applications for precision farming and natural resource management

  • Author:
  • Ayushi Trivedi*, K.V.R. Rao, Yogesh Rajwade, Deepika Yadav, Neelendra Singh Verma
  • Total Page Count: 10
  • Page Number: 1624 to 1633

ICAR-Central Institute of Agricultural Engineering, Bhopal-462 038, India

*E-mail: ayushikhandwa@gmail.com

Online Published on 18 November, 2022.

Abstract

In all types of agriculture practises, RS and GIS are frequently utilised to explain events, anticipate consequences, and plan tactics. The user can examine, evaluate, and comprehend multiple geographically referenced data using such a system. When the two are combined, the user has vast geographic knowledge about any region. Modern geospatial tools such as Remote Sensing (RS), Geographic Information System (GIS), and Global Positioning System (GPS) have provided extremely powerful methods for surveying, identifying, classifying, mapping, monitoring, characterization, and tracking changes in the composition, extent, and distribution of a variety of earth resources, both renewable and non-renewable, living and nonliving in nature. The potential of advanced satellite systems for sustainable agriculture development is investigated, as well as the fusion of GIS and remote sensing knowledge for precision farming, natural resource management, and land management. The capability of RS and GIS for monitoring and managing natural resources at multi-temporal, multi-spectral, and multi-spatial resolution was examined. Remote sensing is quite useful for assessing rates and trends, but GIS is particularly useful for evaluating the causes and implications. However, com bining such spatial technologies with other analytical methodolog ies is frequently useful in order to generate better knowledge about potential implications and improve our understanding of natural resource management. Natural resource managers can better comprehend and interact with remote sensing scientists to create and implement remote sensing science to achieve productive monitoring by utilising such advanced technologies.

Keywords

Remote sensing, Geographic Information System, Global Positioning system, Multi-spatial resolution, Natural Resource Management (NRM)