Land-cover change dynamics and coastal aquaculture development: A case study in the East Godavari delta, Andhra Pradesh, India using multi-temporal satellite data

International Journal of Remote Sensing

Volumn 31, Issue 16, 2010, Pages 4423-4442

  Rajitha, K ^a   Mukherjee, C K ^b   Chandran, R Vinu ^c   Mohan, M M Prakash ^d  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

^c Regional Remote Sensing Service Centre   (India)

^d Netafim India   (India)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; LAKES; MARKOV PROCESSES;

ACCURATE QUANTIFICATIONS; AGRICULTURAL LAND; CHANGE DETECTION; COASTAL AQUACULTURE; IMAGE DIFFERENCING; LAND-COVER CHANGE; NORMALIZED DIFFERENCE VEGETATION INDEX; POST-CLASSIFICATION COMPARISONS;

AQUACULTURE;

RHIZOPHORACEAE;

EID: 77956632309     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160903277456     Document Type: Article

References (41)

1. Bell, E.J., 1974, Markov analysis of land-use change: an application to remotely sensed data. Socio-Economic Planning Sciences, 8, pp. 311-316.
2. Bell, E.J. and Hinojosa, R.C., 1977, Markov analysis of land-use change: continuous time and stationary processes. Socio-Economic Planning Sciences, 11, pp. 13-17.
3. Bruzzone, L. and Prieto, D.F., 2000, Automatic analysis of the difference image for unsupervised change detection. IEEE Transactions on Geoscience and Remote Sensing, 38, pp. 1171-1182.
4. Bruzzone, L. and Serpico, S.B., 1997, An iterative technique for the detection of land-cover transitions in multi-temporal remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 856-867.
5. Burnham, B.O., 1973, Markov inter-temporal land use simulation model. Southern Journal of Agricultural Economics, 5, pp. 253-258.
6. Cakir, H.I., Khorram, S. and Nelson, S.A.C., 2006, Correspondence analysis for detecting land-cover change. Remote Sensing of Environment, 102, pp. 306-317.
7. Chavez JR, P.S., 1988, An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, pp. 459-479.
8. Cook, E.A. and Iverson, L.R., 1991, Inventory and change detection of urban land-cover in Illinois using Landsat Thematic Mapper data. In Proceedings of the 1991 ASPRS/ACSM Annual Convention, Bethesda, MD, vol. 3, pp. 83-92 (Baltimore: ACSM-ASPRS).
9. Coppin, P.R., 1991, The change component in multi-temporal Landsat TM images: its potential for forest inventory and management. PhD dissertation, University of Minnesota.
10. Dai, X., 1998, The effects of image misregistration on the accuracy of remotely sensed change detection. IEEE Transactions on Geoscience and Remote Sensing, 36, pp. 1566-1577.
11. ERDAS, 1996, ERDAS Imagine 8.3.1: Tour Guide and Field Guide (Atlanta, GA: ERDAS Inc.).
12. FAO Aqua-Book, 2002, Shrimp Aquaculture - Global and Indian Scenario. Available online at: http://aquaculture.tn.nic.in (accessed 10 November 2003).
13. Forse, J.E., Leach, J.H., Choowaew, S. and Bishop, I.D., 1997, Change detection analysis of coastal land-cover in Thailand using Landsat Thematic Mapper. In Proceedings of the Northern Australian Geographic Information Systems (NAGIS) Conference (Cairns: NAGIS 97).
14. Griffith, D.A. and Amrhein, C.G., 1991, Statistical Analysis for Geographers (Englewood Cliffs, NJ: Prentice Hall).
15. Hein, L., 2000, Impact of shrimp farming on mangroves along India's East Coast. Unasylva, 51, pp. 48-54.
16. Henderson-Sellers, A. and Pitman, A.J., 1992, Land surface schemes for future climate models: specification, aggregation and heterogeneity. Journal of Geophysical Research, 97, pp. 2687-2696.
17. Hossain, M.Z., Muttitanon, W., Tripathi, N.K. and Phillips, M., 2003, Monitoring shrimp farming development from space. GIS Development, pp. 1-6.
18. Hudak, A.T. and Wessman, C.A., 1998, Textural analysis of historical aerial photography to characterize woody plant encroachment in South African savanna. Remote Sensing of Environment, 17, pp. 37-53.
19. IGBP, 1990, The International Geosphere Biosphere Programme: A Study of Global Change. The Initial Core Projects. Report no. 12 (Stockholm, Sweden: International Council of Scientific Unions).
20. Islam, K.R., 2000, Land use effects on soil quality in a tropical forest ecosystem of Bangladesh. Agriculture, Ecosystems and Environment, 79, pp. 9-16.
21. Joon, H. and Fitzhugh, T.W., 2000, A standardized radiometric normalization method for change detection using remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 66, pp. 173-181.
22. Kaufman, Y.J. and Sendra, C., 1988, Algorithmfor automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9, pp. 1357-1381.
23. Kumaran, M., Ponnusamy, K. and Kalaimani, N., 2003, Diffusion and adoption of shrimp farming technologies. Aquaculture Asia, 8, pp. 20-23.
24. Laba, M., Smith, S.D. and Degloria, S.D., 1997, Landsat-based land cover mapping in the lower Yuna river watershed in the Dominican Republic. International Journal of Remote Sensing, 18, pp. 3011-3025.
25. Lambin, E.F., 1994, Modelling Deforestation Processes: A Review. TREES series B: Research Report 1, EUR 15744 EN (Luxembourg: European Commission).
26. Lambin, E.F., 1997, Modeling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography, 21, pp. 375-393.
27. Lambin, E.F. and Ehrlich, D., 1997, The identification of tropical deforestation fronts at broad spatial scales. International Journal of Remote Sensing, 18, pp. 3551-3568.
28. Lillesand, T.M. and Kiefer, R.W., 2000, Remote Sensing and Image Interpretation, 4th edn (New York: John Wiley & Sons, Inc.).
29. Maingi, J.K. and Marsh, S.E., 2001, Assessment of environmental impacts of river basin development on the riverine forests of eastern Kenya using multi-temporal satellite data. International Journal of Remote Sensing, 22, pp. 2701-2729.
30. Ministry of Agriculture (India), 2002, Shrimp farming in India: lessons and challenges in sustainable development. Aquaculture Authority News, 1, pp. 1-4.
31. NRSA, 1995, IMSD Technical Guidelines (Hyderabad, India: National Remote Sensing Agency).
32. Parzen, E., 1964, Stochastic Processes (San Francisco, CA: Holden-Day).
33. Petit, C., Scudder, T. and Lambin, E., 2001, Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in south-eastern Zambia. International Journal of Remote Sensing, 22, pp. 3435-3456.
34. Rajitha, K., Mukherjee, C.K. and Vinu Chandran, R., 2007, Applications of remote sensing and GIS for sustainable management of shrimp culture in India. Journal of Aquacultural Engineering, 36, pp. 1-17.
35. Riebsame, W.E., Meyer, W.B. and Turner, B.L., II, 1994, Integrated modeling of land use and cover change. Bioscience, 44, pp. 350-362.
36. Singh, A., 1989, Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, pp. 989-1003.
37. Turner, M.G., 1987, Spatial simulation of landscape changes in Georgia. A comparison of three transitional models. Landscape Ecology, 1, pp. 29-36.
38. Turner, M.G., Costanza, R. and Sklar, F.H., 1989, Methods to evaluate the performance of spatial simulation models. Ecological Modeling, 48, pp. 1-18.
39. Turker, M. and Derenyi, E., 2000, GIS assisted change detection using remote sensing. Geocarto International, 15, pp. 49-54.
40. Vadlapudi, S., 1996, Identification and quantification of changes in mangrove forest using remote sensing in Kakinada Bay, Andhra Pradesh, India. GIS Development, pp. 1-9.
41. Weismiller, R.A., Kristoof, S.J., Scholz, D.K., Anuta, P.E. and Momen, S.A., 1977, Change detection in coastal zone environments. Photogrammetric Engineering and Remote Sensing, 43, pp. 1533-1539.