Application of remote sensing and GIS in land resource management

Sathees Kumar; Nazeer Khan

doi:10.24294/jgc.v4i2.437

Application of remote sensing and GIS in land resource management

Sathees Kumar, Nazeer Khan

Article ID: 437
Vol 4, Issue 2, 2021

VIEWS - 1817 (Abstract) 448 (PDF)

Abstract

Land use or land cover (LU/LC) mapping serves as a kind of basic information for land resource study. Detecting and analyzing the quantitative changes along the earth’s surface has become necessary and advantageous because it can result in proper planning, which would ultimately result in improvement in infrastructure development, economic and industrial growth. The LU/LC pattern in Madurai City, Tamil Nadu, has undergone a significant change over the past two decades due to accelerated urbanization. In this study, LU/LC change dynamics were investigated by the combined use of satellite remote sensing and geographical information system. To understand the LU/LC change in Madurai City, different land use categories and their spatial as well as temporal variability have been studied over a period of seven years (1999-2006), by analyzing Landsat images for the years 1999 and 2006 respectively with the help of ArcGIS 9.3 and ERDAS Imagine 9.1 software. This results show that geospatial technology is able to effectively capture the spatio-temporal trend of the landscape patterns associated with urbanization in this region.

Keywords

GIS; LANDSAT; Land Use; Land Cover; Remote Sensing

Full Text:

PDF

References

1. Palaniyandi M, Nagarathinam V. Land use/land cover mapping and change detection using space borne data. Journal of the Indian Society of Remote Sensing 1997; 25(1): 27–33.

2. Rahman R, Saha SK. Multi-resolution segmentation for object-based classification and accuracy assessment of land use/land cover classification using remotely sensed data. Journal of the Indian Society of Remote Sensing 2008; 36(2): 189–201.

3. Roy PS, Giriraj A. Land use and land cover analysis in Indian context. Journal of Applied Science 2008; 8(8): 1346–1353.

4. Sarma VVLN, Gurram MK, Malini BH, et al. Land use/land cover change detection through remote sensing and its climatic implications in the Godavari Delta Region. Journal of the Indian Society of Remote Sensing 2001; 29(1): 85–91.

5. Landsat images of Madurai City from 1999 to 2006 [Internet]. Sunrise Valley, Virgina: Earth Resources Observation and Science (EROS) Center, United States Geological Survey. Available from: https://w ww.usgs.gov/centers/eros

6. Ministry of Electronics & Information Technology, Government of India [Internet]. New Delhi: National Informatics Centre (NIC); 2010. Available from: http://www.madurai.tn.nic.in/distprof.htm.

7. Tamil Nadu State Centre [Internet]. New Delhi: National Informatics Centre (NIC). Available from: https://www.nic.in/state-office/.

8. Reddy MA. Text book of remote sensing and geographical information systems. Hyderabad: BS Publications; 2002. p. 450.

9. Coskun G H, Alganci U, Usta G. Analysis of land use change and urbanization in the Kucukcekmece Water Basin (Istanbul, Turkey) with temporal satellite data using remote sensing and GIS. Sensors 2008; 8(11): 7213–7223.

10. Lillesand TM, Kiefer RW, Chipman JW. Remote sensing and image interpretation. New York: John Wiley; 2003. p. 706.

11. Verbyla DL. Satellite remote sensing of natural resources. New York: Lewis Publishers; 2005. p. 198.

DOI: https://doi.org/10.24294/jgc.v4i2.437