Reaching the Unreached through Geo-Informatics

N Chendrayudu; C Prabhavathamma

doi:10.53989/bu.ge.v8i2.2

Article

VIEWS 356
PDF 148

Geo-Eye

DOI: 10.53989/bu.ge.v8i2.2

Year: 2019, Volume: 8, Issue: 2, Pages: 12-16

Original Article

Reaching the Unreached through Geo-Informatics

N Chendrayudu¹, C Prabhavathamma²

¹HOD, Department of Geography, Sri Venkateswara University, Tirupati, Andra Pradesh, India
²Principal, APSWR School, G.D. Nellore, Andhra Pradesh, India

Received Date:02 July 2019, Accepted Date:22 October 2019

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Geo-informatics is the science and the technology which develops and uses information science infrastructure to address the problems of geography, cartography, geosciences locations and related branches of science and engineering. It is a science and technology mainly includes Remote Sensing, Geographical Information System (GIS) and Geographical Position System (GPS). Remote Sensing provides data for even unreached areas where physical observations are impossible and GIS backs up to bring the data into visualization and support for ‘Decision Making”. Whereas GPS concentrate on suitable spot locational aspects. In the proposed article/ research paper, it is intended to present the role of Remote Sensing and GIS in unreached areas in the form of Extension fields. Rayalaseema Region of Andhra Pradesh is one of the notified drought prone areas of the nation. In fact the latest techniques have to be applied to unreached areas like Habitat analysis, School Locational analysis, Tribal inhabitation analysis, Precision agriculture, Water resources analysis etc. These tools can be widely used by extension field Professional. Citations have been taken from literature and recommendations.

References

DDA, Hadjimitsis DG, Agapiou A. Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmospheric Research. 2013;131:108–124. Available from: https://www.cabdirect.org/cabdirect/abstract/20133341926
Aronoff S. Geographic information systems: A management perspective. Geocarto International. 1989;4(4):58. Available from: https://dx.doi.org/10.1080/10106048909354237
Cowen DJ. University of South Carolina NCGIA Lecture. 1989.
Wahyudi A, et al. Decision making with GIS. 2008.
Ehlers. Geoinformatics and digital earth initiatives: a German perspective. International Journal of Digital Earth. 2008;1(1):17–30. doi: 10.1080/17538940701781975
Husdal J. University of Leicester thesis
Laaribi A, Chevallier JJ, Martel JM. A spatial decision aid: A multicriterion evaluation approach. Computers, Environment and Urban Systems. 1996;20(6):351–366. Available from: https://dx.doi.org/10.1016/s0198-9715(97)00002-1
Li H, Gartner DI, Mou P, Trettin CC. A landscape model (LEEMATH) to evaluate effects of management impacts on timber and wildlife habitat. Computers and Electronics in Agriculture. 2000;27(1-3):263–292. Available from: https://dx.doi.org/10.1016/s0168-1699(00)00088-0
Longley AP, Goodchild FM, Maguire JD, Rhind WD. Geographic Information System and science. John Wiley & Sons Ltd England Geographic Information System and science. 2002.
Malczewski J. GIS and Multicriteria Decision Analysis. John Wiely & Sons. 1999.
Zhang N, Wang M, Wang N. Precision agriculture—a worldwide overview. Computers and Electronics in Agriculture. 2002;36(2-3):113–132. Available from: https://dx.doi.org/10.1016/s0168-1699(02)00096-0
Raju PLN. Fundamentals of Geographic Information Systems. .
Tim US, Mallavaram S. Application of GIS Technology in Watershed-Based Management and Decision Making. Watershed Update. 2003;1:1–6.

Copyright

© 2019 Chendrayudu & Prabhavathamma. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka