Flulc mapping and assessment of a typical sub watershed of Central India using IRS-P6 LISS 3 data

Paper Details

Research Paper 01/09/2012
Views (286) Download (4)
current_issue_feature_image
publication_file

Flulc mapping and assessment of a typical sub watershed of Central India using IRS-P6 LISS 3 data

Ajay K. Singh, S. S. Singh
J. Bio. Env. Sci.2( 9), 26-32, September 2012.
Certificate: JBES 2012 [Generate Certificate]

Abstract

The forest land use/ land cover (FLULC) mapping and assessment of Chornai sub watershed has done by using IRS P6 LISS3 data of 2008 dataset. The study area is located in the eastern part of the Hasdeo river basin, Chhattisgarh, Central India. The sub watershed covers an area of the 1792.30 km2. This area has subjected to different kind of ecological degradation by man and nature. The data shows that this sub watershed has total 37.97% area as dense forest, 11.14% area is open forest, 12.57% area is non forest (Agriculture land without crop recorded 62.56% and agriculture land with crop 37.44%) and 38.32% area is water bodies. The Normalized Difference Vegetation Index (NDVI) of the sub watershed has also been analysed for vegetation.

VIEWS 12

Anderson J, Hardy E, Roach J, Witmer R. 1976. A Land Use and Land Cover Classification Scheme System for use with Remote Sensor Data. U. S. Geological Survey.

Bakker MM, Govers G, Kosmas C, Vanacker V, Van Oost K, Rounsevell MDA. 2005. Soil erosion as a driver of land use change. Agri. Ecosys. Environ. 105, 467- 481.

Balaselvakumar S, Kumaraswamy K, Srileka S, Jawahar N. Remote sensing techniques for land use mapping of Arjuna basin, Tamil Nadu. Gisdevelopment. net / application / natural resource management, 1-5.

Foody GM. 2002. Status of land cover classification accuracy assessment. Rem. Sens. Environ. 80, 185-201.

Gibson P, Power C. 2000. Introductory Remote Sensing: Digital Image Processing and Applications, Routledge, 92 – 112.

Jensen J. 2007. Remote Sensing of the Environment: An earth Resource Perspective (2nd Edition), Pearson Education, Inc., 450.

Jordan G, Van Rompaey A, Szilassi P, Csillag, G, Mannaerts C, Woldai T. 2005. Historical land use changes and their impact on sediment flexes in the Balaton basin, Hungary. Agri. Ecosys. Environ. 108 (2), 119-133.

Joshi PK, Singh S, Agarwal S, Roy PS. 2001. Forest cover assessment in western Himalayas, Himachal Pradesh using IRS 1C/1D WiFS data. Curr. Sci. (80), 8.

Kasischeke ES, Nancy HFF. 1995. Location and Estimation the Areal extent of wildfire in Alaska boreal forests using multiple season AVHRR NDVI composite data. Rem. Sens. Environ. 51, 263-275.

Lambin EF, Turner BL II, Geist HJ, Agbola SB, Angelsen A, Bruce JW, Coomes O, Dirzo R, Fischer G, Folke C, George PS, Homewood K, Imbernon J, Leemans RX., Moran EF, Mortimore M, Ramakrishnan PS, Richards JF, Skånes H, Steffen W, Stone G, Svedin U, Veldkamp TA, Vogel C, Xu J. 2001. The causes of land-use and land-cover change: Moving beyond the myths. Global Environmental Change: Human and Policy Dimensions 11(4), 5-13.

Liu GR, Lin TH, Kuo T H, Liang C. 2001. Estimation of Taiwan’s forested areas from classified NDVI maps from NOAA AVHRR data. Paper presented: 22nd Asian Conference on Remote Sensing, November 5-9, 2001, Singapore.

Malplica JA. 2007. Hue adjustment to HIS Pan – Sharpened IKONOS imagery for vegetation enhancement. IEEE Geoscience and Remote Sensing Letters. 4(1), 27-31.

Moran EF. 2001. Progress in the last ten tears in the study of land use/cover change and the outlook for the next decade. In A. Diekman et al. (eds.), Human dimensions of global change. Cambridge, MA, MIT Press.

Mulder J. 1979. Integrated water resource and land use planning, Logan, Utah water research laboratory, Utah state university, USA.

National  Remote  Sensing  Agency  (NRSA). 1989. Manual of Nationwide land use/land cover mapping using satellite imagery, Part-I, NRSA, Hyderabad.

Pacific Meridian Resources (PMR). 1996. Luccas: land use and cover change analysis system. User’s manual.

Prakasam C. 2010. Land use and land cover change detection through remote sensing approach: A case study of Kodaikanal Taluk, Tamilnadu. Int. J. Geom. Geosci. 1(2), 150-158.

Rao KS, Pant R. 2001. Land use dynamics and landscape change pattern in a typical micro watershed in the mid elevation zone of central Himalaya, India. Agric. Ecosys. Environ. 86, 113-123.

Rao BRM, Fayzee MA, Ravishankar T, Sujatha G, Venkataratnam L, Thammappa SS. 1997. Watershed development plan for sustainable development in tribal areas of Andhra Pradesh-a GIS approach. Proceeding of Remote Sensing for natural resources: A joint publication of ISRS and National Natural Resources Management System. 466-474.

Sarma K, Tripathi OP, Kushwaha SPS. 2006. Land use/land cover change analysis in coal mine affected areas in Jaintia hills district of Meghalaya, Northeast India using remote sensing and GIS techniques. Ind. J. Trop. Biodiv. 16(2), 135-142.

Singh AK, Singh SS. 2010. Upper Hasdeo sub watershed status in Hasdeo river basin at Chhattisgarh. Proceeding of FIG Congress 2010, Sydney, Australia, 11-16 April 2010, 1-6.

Singh SS, Singh AK. 2011. Forest land cover variation and catchment status in the Bamni sub watershed of Hasdeo river basin in Central Ind. J. Biodiv. Ecol. Sci. 1(1), 95-101.

Singh AK, Singh SS. 2011. Forest Vegetation Analysis and Land Cover Assessment in Tan Sub Watershed of Hasdeo River Basin, Chhattisgarh, India. Proceeding of FIG Working Week 2011: Bridging the Gap between Cultures. Marrakech, Morocco, 18-22 May 2011.

Smits PC, Dellepiane SG, Schowengerdt RA. 1999. Quality assessment of image classification algorithms for land cover mapping: a review and proposal for cost-based approach. Int. J. Rem. Sens. 20(8): 1461-1486.

Steven MD, Malthus TJ, Baret F, Xu H, Chopping MJ. 2003. Intercalibration of vegetation indices from different sensor systems. Rem. Sens. Environ. 25, 389-408.

Stoate C, Boatman ND, Borralho RJ, Carvalho CR, De Snoo GR, Eden P. 2001. Ecological impacts of arable intensification in Eur. J. Environ. Manage. 63, 337-365.

Suryawanshi SL, Pendke MS. 2009. Development of land use/land cover and slope map using remote sensing and geographical information system techniques. IE (I) Jour-AG. 90, 24-27.

Sun B, Zhou S, Zhao Q. 2003. Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma 115 (1-2), 85-99.

Szillassi P, Jordan G, Van Rompaey A, Csillag G. 2006. Impacts of historical land use changes on erosion and agricultural soil properties in the Kali basin at Lake Balaton, Hungary. Catena 68(2-3), 96-108.

Tucker CJ, Newcomb WW, Dregne HE. 1994. AVHRR data sets for determination of desert spatial extent. Int. J. Rem. Sens. 15, 3547-3565.

Turner BL, Moss RH, Skole DL, (eds.). 1993. Relating land use and global land-cover change: A proposal for an IGBP-HDP core project. Report from the IGBP-HDP Working Group on Land-Use/Land-Cover Change. Joint publication of the International Geosphere-Biosphere Programme (Report No. 24) and the Human Dimensions of Global Environmental Change Programme (Report No. 5). Stockholm: Royal Swedish Academy of Sciences.

Zubair A. 2006. Change Detection in Land Use and Land Cover using Remote Sensing Data and GIS: A Case Study of Ilorin and its Environs in Kwara State: GIS Development Journal.