AIMS Geosciences, 2016, 2(4): 273-285. doi: 10.3934/geosci.2016.4.273 Case report

Export file:

Format

RIS(for EndNote,Reference Manager,ProCite)
BibTex
Text

Content

Citation Only
Citation and Abstract

LU/LC Change Detection and Forest Degradation Analysis in Dalma Wildlife Sanctuary Using 3S Technology: A Case Study in Jamshedpur-India

Avinash Kumar Ranjan, Akash Anand, Vallisree S, Rahul Kumar Singh

1 Centre for Land Resource Management, Central University of Jharkhand, Brambe 835205(JH), India
2 Department of Electronics and Communication Engineering, Birsa Institute of Technology, Dhanbad 828123(JH), India
3 Department of Applied Geology, Indian Institute of Technology (ISM), Dhanbad 826004(JH), India

Received: , Accepted: , Published:

Abstract Full Text(HTML) Figure/Table

Geo-informatics technology has dynamic role in mapping, monitoring and management of forest resources. The transformation of forest cover and its analysis on the earth’s surface are essential for understanding the associations and interactions between natural phenomena and living organism, especially human. Also deforestation is a major reason for global warming and one of the origin keys for the enhancement of greenhouse effect and climate change. The present study is grounded on the 3S technology in assessment of LU/LC changes within the forest cover area in Dalma Wildlife Sanctuary (DWLS) Jamshedpur-Jharkhand, India. The movement of forest-cover variation over the years 2009, 2011, 2013, 2015 and 2016 is precisely studied using high resolution Satellite Data (SD). It is noted that, due to shifting cultivation, forest fire, and conversion of forest cover into crop land/bare land and settlement encroachments in forest region by villagers are rapidly increasing; as a result deforestation is taking place. It is predicted that the study would demonstrate the effectiveness of 3S technology in forest renovation, planning and management.

Figure/Table

Supplementary

Article Metrics

References

1. Ranjan AK., Vallisree S, and Singh RK (2016) Role of Geographic Information System and Remote Sensing in Monitoring and Management of Urban and Watershed Environment: Overview. J of Remote Sens & GIS, 7: 1–14.

2. Anil NC, Sankar GJ and Rao MJ (2011) Studies on Land Use/ Land Cover and change detection from parts of South West Godavari District, A. P-Using Remote Sensing and GIS Techniques. J of Indian Geophys Union 15: 187–194.

3. Olokeoguna OS, Iyiolab OF and Iyiolac K (2014) Application of remote sensing and GIS in land use/land cover mapping and change detection in shasha forest reserve, Nigeria. The International Archives of the Photogrammetry, Remote Sens and Spat Inf Sci 40: 613–616.

4. Mengistu DA and Salami AT (2007) Application of remote sensing and GIS in land use/land cover mapping and change detection in a part of south western Nigeria. Afr J of Environ Sci and Technol 1: 99–109.

5. Reis S (2008) Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey. Sens 8: 6188–6202.

6. Forkuo EK and Frimpong (2012) Analysis of Forest Cover Change Detection. Int J of Remote Sens Appl 2: 82–92.

7. Lubis JPG and Nakagoshi N (2011) Land Use and Land Cover change detection using remote sensing and geographic information system in Bodri Watershed, Central Java, Indonesia. J of Int Dev and Coop 18: 139–151.

8. Kindu M, Schneider T, Teketay D, et al. (2013) Land Use/Land Cover change analysis using object-based classification approach in Munessa-Shashemene landscape of the ethiopian highlands. Remote Sens 5: 2411–2435.

9. Ghosh S, Sen KK, Rana U, et al. (1996) Applications of GIS for Land-Use/Land-Cover Change Analysis in a Mountainous Terrain. J of the Indian Soc of Remote Sens 24: 193–202.

10. Prasad TL, and Sreenivasulu G (2014) Land Use / Land Cover analysis using Remote Sensing and GIS-A Case Study on Pulivendula Taluk, Kadapa District, Andhra Pradesh-India. Int J of Sci and Res Publ 4: 1–5.

11. Tsegaye L (2014) Analysis of Land Use and Land Cover Change and Its Drivers Using GIS and Remote Sensing: The Case of West Guna Mountain, Ethiopia. Int Res J of Earth Sci 3: 53–63.

12. Kayet N and Pathak K (2015) Remote Sensing and GIS Based Land use/Land cover Change Detection Mapping in Saranda Forest, Jharkhand, India. Int Res J of Earth Sci 3: 1–6.

13. Jharkhand-Wildlife. Available from: http://www.jharwildlife.in/2014-10-09-13-56-25/2014-10-10-15- 0538/dalma.html.

14. FSI, 2013, India State of Forest Report, Forest Survey of India, Dehradun, India, 252.

15. FSI, 2015, India State of Forest Report, Forest Survey of India, Dehradun, India.

16. http://www.en.m.wikipedia.org/wiki/Dalma_wildlife_Sanctuary.

17. BHUVAN. Available from: http://bhuvan.nrsc.gov.in/bhuvan_links.php.

18. United State Geological Survey. Available from: http://glovis.usgs.gov/.

19. India and Pakistan AMS topographic maps. Available from: http://www.lib.utexas.edu/map.ams/india/nf-45-01.

20. Ismail MH and Jusoff K (2008) Satellite data classification accuracy assessment based from reference dataset. Int J of Comput and Inf Eng 2: 386–392.

21. Lillesand TM and Kiefer RW (1999) Remote Sensing and Image Interpretation. New York: John Wiley and Sons.

22. Tiwari LK, Sinha SK, Saran S, et al. (2015) Forest encroachment mapping methods-an overview. Int J of Adv in Remote Sens, GIS and Geogr 3.

23. Arveti N, Etikala B and Dash P (2016) Land Use/Land Cover Analysis Based on Various Comprehensive Geospatial Data Sets: A Case Study from Tirupati Area, South India. Adv in Remote Sens 5: 73–82.

24. Singh A (1989) Digital change detection techniques using remotely sensed data. Int J of Remote Sens 10: 989–1003.

25. Prakasam C (2010) Land use and Land cover change detection through remote sensing approach: A case study of Kodaikanal taluk, Tamil nadu. Int J of Geomat and Geosci 6: 37–44.

26. Kaswanto NN and Arifin HD (2010) Impact of land use changes on spatial pattern of landscape during two decades (1989-2009) in West Java region, Hikobia. Proced Environ Sci 15: 363–376.

27. Banko G (1998) A Review of assessing the accuracy of classification of remotely sensed data and methods including remote sensing data in forest inventory. Int Inst for Appl Syst Anal- Inter Rep 119:270–279.

Copyright Info: © 2016, Avinash Kumar Ranjan, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Article outline

Show full outline