Monitoring changes in land use land cover of Yamuna riverbed in Delhi: A multi-temporal analysis

International Journal of Remote Sensing

Volumn 32, Issue 24, 2011, Pages 9547-9558

  Joshi, Rucha R ^a   Warthe, Mangesh ^b   Dwivedi, Sharad ^c   Vijay, Ritesh ^d   Chakrabarti, Tapan ^d  

^a BHARATHIDASAN UNIVERSITY   (India)

^b SANT GADGE BABA AMRAVATI UNIVERSITY   (India)

^c JAWAHARLAL NEHRU UNIVERSITY   (India)

^d NATIONAL ENVIRONMENTAL ENGINEERING RESEARCH INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROGEOLOGY; MAXIMUM LIKELIHOOD; REMOTE SENSING;

AGRICULTURAL ACTIVITIES; ANTHROPOGENIC ACTIVITY; LAND USE/ LAND COVERS; MAXIMUM LIKELIHOOD CLASSIFICATIONS; MULTI-TEMPORAL ANALYSIS; OVERALL ACCURACIES; REMOTE SENSING ANALYSIS; RIVERINE ECOSYSTEMS;

LAND USE;

ACCURACY ASSESSMENT; ANTHROPOGENIC EFFECT; FRESHWATER ECOSYSTEM; IMAGE CLASSIFICATION; LAND COVER; LAND USE CHANGE; MAXIMUM LIKELIHOOD ANALYSIS; MONITORING SYSTEM; REMOTE SENSING; RIVER FLOW;

INDIA; YAMUNA RIVER;

EID: 82155192921     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2011.565377     Document Type: Article

References (31)

1. ANDERSON, J.R., HARDY, E.E., ROACH, J.T. and WITMER, R.E., 1976, A land use and land cover classification system for use with remote sensor data. In US Geological Survey Professional Paper No. 964, p. 28 (Washington, DC: US Government Printing Office).
2. BHASKAR, A., 1998, Ecological Zonation of Riparian System of Yamuna River: Phase-I Stretch (Delhi: Centre for Inter-Disciplinary Studies of Mountains and Hill Environment (CISMHE)).
3. CONGALTON, R.G., 1991, Areview of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
4. CONGALTON, R.G. and GREEN K., 1999, Assessing the Accuracy of Remotely Sensed Data, p. 137 (Boca Raton, FL: CRC Press).
5. COPPIN, P. and BAUER, M.E., 1996, Digital change detection in forest ecosystems with remote sensing imagery. Remote sensing reviews, 13, pp. 207-234.
6. DESSÌ, F.G. and NIANG, A.J., 2008, Thematic mapping using quickbird multispectral imagery in Oung El-Jemel area, Tozeur (SW Tunisia). In Desertification and Risk Analysis Using High and Medium Resolution Satellite Data, pp. 207-212 (Dordrecht: Springer).
7. FOODY, G.M. and CUTLER, M.E.J., 2006, Mapping the species richness and composition of tropical forests from remotely sensed data with neural networks. Ecological Modelling, 195, pp. 37-42.
8. GOI, 1999, Dumping and disposal of fly ash discharged from coal or lignite based thermal power plants on land, The Gazette of India, Extraordinary, Part II -Section 3 - Sub-section (ii), Ministry of Environment and Forest, Notification, New Delhi. Available online at: http://www.tara.in/tara/upload/docliberary/Genericdocuments/Fly_ash_utilisation_notification_1.PDF (accessed 10 June 2010).
9. GOVERNMENT OF NCT DELHI, 2003, Revised Guidelines, Delhi MLA LADS 2002-2003 (Delhi: Department of Urban Development).
10. HERRERA, L.P., HERMIDA, V.G., MARTÍNEZ, G.A., LATERRA, P. and MACEIRA, N., 2005, Remote sensing assessment of Paspalum quadrifarium grasslands in the Flooding Pampa, Argentina. Rangeland Ecology & Management, 58, pp. 406-412.
11. HODGSON, M.E., JENSEN, J.R., TULLIS, J.A., RIORDAN, K.D. and ARCHER, C.M., 2003, Synergistic use of lidar and color aerial photography for mapping urban parcel imperviousness. Photogrammetric Engineering and Remote Sensing, 69, pp. 973-980.
12. IYER, U.C. and UMRIKAR, B., 2008, Land Use/ Land Cover study of North West Part of Pune Metropolis, India for urban planning and sustainable development of resources through Remote Sensing- GIS. Available online at: http://www.gisdevelopment.net (accessed 12 March 2010).
13. JENSEN, J.R., 1986, Introductory Digital Image Processing, p. 379 (Englewood Cliffs, NJ: Prentice Hall).
14. KAUL, B.L. and PANDIT, M.K., 2004, Morphotectonic evaluation of the Delhi region in northern India and its significance in environmental management. Environmental Geology, 46, pp. 1118-1122.
15. KHAN, S., BHUVNESWARI, B. and QUERESHI, M., 1999, Land use/land cover mapping and change detection using remote sensing andGIS: a case study of Jamuna and its environs, Socio-economic Development Record, 6, pp. 32-33.
16. KIAGE, L.M., LIU, K.B., WALKER, N.D., LAM, N. and HUH, O.K., 2007, Recent land-cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM+. International Journal of Remote Sensing, 28, pp. 4285-4309.
17. LI, B. and ZHOU, Q., 2009, Accuracy assessment on multi-temporal land-cover change detection using a trajectory error matrix. International Journal of Remote Sensing, 30, pp. 1283-1296.
18. LIN, W., ZHANG, L., DU, D., YANG, L., LIN, H., ZHANG, Y. and LI, J., 2008, Quantification of land use/land cover changes in Pearl river delta and its impact on regional climate in summer using numerical modeling. Regional Environmental Change, 9, pp. 75-82.
19. LUNETTA, R.S., 1999, Applications, project formulation and analytical approach. In Remote Sensing Change Detection: Environmental Monitoring Methods and Applications, R.S. Lunetta and C.C. Elvidge (Eds.), pp. 1-19 (London: Taylor & Francis).
20. MACLEOD, D. and CONGALTON, G., 1998, A quantitative comparison of change detection algorithms for monitoring eelgrass fromremotely sensed data. Photogrammetric Engineering and Remote Sensing, 64, pp. 207-216.
21. MATSUOKA, M., HAYASAKA, T., FUKUSHIMA, Y. and HONDA, Y., 2004, Analysis of the land cover and its change over yellow river basin using satellite data. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 35, pp. 836-839.
22. OPEYEMI, Z., 2008, Monitoring the growth of settlements in Ilorin, Nigeria (a GIS and remote sensing approach). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, pp. 225-232.
23. PANDIT, M.K., 1998, Yamuna River Rejuvenation Plan-Riparian Ecosystem, Phase-I Report. (Delhi: Centre for Inter-Disciplinary Studies of Mountains and Hill Environment (CISMHE)).
24. RAMACHANDRA, T.V. and KUMAR, U., 2004, Geographic resources decision support system for land use, land cover dynamics analysis. In Proceedings of the FOSS/GRASS Users Conference, 3 March 2010, Bangkok, Thailand.
25. ROGAN, J. and CHEN, D.M., 2004, Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 61, pp. 301-325.
26. SINGH, A., 1989, Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, pp. 989-1003.
27. VIJAY, R., SARGOANKAR, A. and GUPTA, A., 2006, Hydrodynamic simulation of river Yamuna for riverbed assessment: a case study of Delhi region. Environmental Monitoring and Assessment, 130, pp. 381-387.
28. YANG, X., REN, L., YONG, B. and JIAO, D., 2008, Remote sensing-based land use and land cover change in Shalamulun catchment. IEEE Computer Society, 2, pp. 504-507.
29. YORKE, C. and MARGAI, F., 2007, Monitoring land use change in the Densu river basin, Ghana using GIS and remote sensing. African Geographical Review, 26, pp. 87-110.
30. YUAN, D., ELVIDGE, C.D. and LUNETTA, R.S., 1998, Survey of multispectral methods for land cover change analysis. In Remote Sensing Change Detection: Environmental Monitoring Methods and Applications, R.S. Lunetta and C.C. Elvidge (Eds.), pp. 21-39 (Chelsea, MI: Ann Arbor Press).
31. ZONAL DEVELOPMENT PLAN, ZONE - P II, 2008, (North Delhi). Available online at: http://www.dda.org.in (accessed 6 October 2009).