Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques

Geocarto International

Volumn 28, Issue 7, 2013, Pages 632-656

  Mondal, M Surabuddin ^a,b   Sharma, Nayan ^a   Kappas, Martin ^b   Garg, P K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

CA Markov; comparisons validation; LULC; multi temporal images; prediction

Indexed keywords

CELLULAR AUTOMATON; GIS; IMAGE ANALYSIS; LAND COVER; LAND USE; MARKOV CHAIN; PREDICTION; SATELLITE IMAGERY; SPATIAL DISTRIBUTION;

BRAHMAPUTRA BASIN;

EID: 84887185212     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2013.776641     Document Type: Article

References (21)

1. Anderson JR. 1971. Land use classification schemes used in selected recent geographic applications of remote sensing. Photogramm Eng. 37: 379-387.
2. Baker WL. 1989. A review of models of landscape change. Landscape Ecol. 2: 111-133.
3. Eastman JR. 2009. IDRISI users guide. Massachusetts: Clark University P. 259.
4. Geoghegan J, Wainger LA, Bocksael NE. 1997. Spatial landscape indices in a hedonic framework: An ecological economics analysis using GIS. Ecol Econ. 23: 251-264.
5. Hall DK, Foster JL, Chien JYL, Riggs GA. 1995. Determination of actual snow covered area using Landsat TM and digital elevation model data in Glacier National Park Montana. Polar Record. 177: 191-198.
6. Kumar S. 2003. Modeling LULC changes using CA in a geo-spatial environment. Enschede: International Institute for Geo-Information Science and Earth Observation p. 6-24.
7. Lambin EF. 1997. Modeling and monitoring land-cover change processes in tropical regions. Prog Phys Geogr. 21: 375-393.
8. Lambin EF. 1994. Modelling deforestation processes: A review. TREES Series B. Research Report 1, EUR 15744 EN. Brussels: European Commission, p. 57.
9. Liverman D, Moran E, Rindfuss RR, Stern PC. 1998. People and pixels: linking remote sensing and social science. Washington, DC: DC National Academy Press.
10. Mertens B, Lambin EF. 1997. Spatial modeling of deforestation in Southern Cameroon. Appl Geogr. 17: 143-162.
11. Mondal MS, Sharma N, Kappas M, Garg PK. 2012. Modeling of spatio-temporal dynamics of LULC - a review and assessment. J Geom. 6: 29-39.
12. Pontius RG Jr. 2002. Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogramm Eng Remote Sens. 68: 1041-1049.
13. Pontius RG Jr, Cornell J, Hall C. 2001. Modeling the spatial pattern of land-use change with GEOMOD-2: Application and validation for Costa Rica. Agric Ecosyst Environ. 85: 191-203.
14. Pontius RG Jr, Huffaker D, Denman K. 2004. Useful techniques of validation for spatially explicit land-change models. Ecol Model. 179: 445-461.
15. Turner II BL, Skole D, Sanderson S, Fischer G, Fresco L, Leemans R. 1995. Land-use and land-cover change, science/research plan, IHDP Report No. 07. Stockholm: Royal Swedish Academy of Sciences (IGBP report No. 35, 1-135).
16. Veldkamp TA, Fresco L. 1996. CLUE-CR: An integrated multi-scale model to simulate land use change scenarios in Costa Rica. Ecol Model. 91: 231-248.
17. Vermote EF, Tanre D, Deuze JL, Herman M, Morcrette JJ. 1997. Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE T Geosci Remote. 35: 675-686.
18. Von Neumann J. 1966. Theory of self-reproducing automata. Burks AW, editor. Urbana (IL): University of Illinois Press.
19. Wagner DF. 1997. Cellular automata and geographic information systems. Environ Plan B, Plan Des. 24: 219-234.
20. Wilkie DS, Finn JT. 1998. A spatial model of land use and forest regeneration in the Ituri forest of northeastern Zaïre. Conserv Biol. 12: 137-147.
21. Wu F, Webster CJ. 1998. Simulation of land development through the integration of CA and multi-criteria evaluation. Environ Plan B, Plan Des. 25: 103-126.