References

  1. Carvalho, F.M.V.; de Marco, P.; Ferreira, L.G. 2009. The Cerrado into-pieces: habitat fragmentation as a function of landscape use in the savannas of central Brazil, Biological Conservation142: 1392–1403. http://dx.doi.org/10.1016/j.biocon.2009.01.031

  2. Freitas S. R.;, Hawbaker T. J.; Metzger P. J. 2010. Effects of roads, topography, and land use on forest cover dynamics in the Brazilian Atlantic Forest, Forest Ecology and Management 259: 410-417. http://dx.doi.org/10.1016/j.foreco.2009.10.036

  3. Garcia-Feced, C.; Saura, S.; Elena-Rossello, R. 2011. Improving landscape connectivity in forest districts: a two-stage process for prioritizing agricultural patches for reforestation, Forest Ecology and Management 261(1): 154–161. http://dx.doi.org/10.1016/j.foreco.2010.09.047

  4. Geri, F.; Amici, V.; Rocchini, D. 2010. Human activity impact on the heterogeneity of a Mediterranean landscape, Applied Geography 30: 370–379. http://dx.doi.org/10.1016/j.apgeog.2009.10.006

  5. Gustafson, E.J. 1998. Quantifying landscape spatial pattern: what is the state of the art?, Ecosystems 1: 143–156. http://dx.doi.org/10.1007/s100219900011

  6. Hahs, A.K.; McDonnell, M.J.2006. Selecting independent measures to quantify Melbourne’s urban rural gradient,Landscape and Urban Planning 78: 435–448. http://dx.doi.org/10.1016/j.landurbplan.2005.12.005

  7. Herold M.;Couclelis, H.; Clarke, K.C.2005. The role of spatial metrics in the analysis and modeling of urban land use change,Computers, Environment and Urban Systems 29: 369–399. http://dx.doi.org/10.1016/j.compenvurbsys.2003.12.001

  8. Jixian Z.; Yonghong Z. 2007. Remote sensing research issues of the National Land Use Change Program of China, ISPRS Journal of Photogrammetry and Remote Sensing62: 461-472. http://dx.doi.org/10.1016/j.isprsjprs.2007.07.002

  9. Lambin, E. F.; Geist, H. J.; Lepers, E.2003. Dynamics of land use land cover change in tropical regions, Annual Review of Environment and Resources 28: 205–41. http://dx.doi.org/10.1146/annurev.energy.28.050302.105459

  10. Li, X.; Zhang, L.; Liang, C. 2010. A GIS-based buffer gradient analysis on spatiotemporal dynamics of urban expansion in Shanghai and its major satellite cities,Procedia Environmental Sciences 2: 1139–1156. http://dx.doi.org/10.1016/j.proenv.2010.10.123

  11. Liu, J.; Deng, X. 2010. Progress of research methodologies on temporal and spatial process of LULC, Chinese Science Bulletin 55: 1354–1362. http://dx.doi.org/10.1007/s11434-009-0733-y

  12. McDonald, R. 2009. Ecosystem service demand and supply along the urban-to-rural gradient,Journal of Conservation Planning 5: 1–14.

  13. McGarigal, K.; Cushman, S.A; Neel, M.C; Ene, E.2002. FRAGSTATS: spatial pattern analysis program for categorical maps [online].Available from Internet: http://www.umass.edu/landeco/research/fragstats/fragstats.html

  14. Mertens, B.; Sunderlin, W.D.; Ndoye, O. 2000. Impact of macroeconomic change on deforestation in South Cameroon: integration of household survey and remotely-sensed data, World Development 28(6): 983–999. http://dx.doi.org/10.1016/S0305-750X(00)00007-3

  15. Li, M.; Zhu, Z.; Vogelmann, J. E.; Xu, D.; Wen, W.; Liu, A. 2011. Characterizing fragmentation of the collective forests in southern China from multitemporal Landsat imagery: a case study from Kecheng district of Zhejiang province, Applied Geography31(3):1026–1035.http://dx.doi.org/10.1016/j.apgeog.2011.02.004

  16. Nagendra, H.; Southworth, J.; Tucker, C. 2003. Accessibility as a determinant of landscape transformation in western Honduras: linking pattern and process,Landscape Ecology18: 141–158. http://dx.doi.org/10.1023/A:1024430026953

  17. Nagendra, H.; Munroe, D.K.; Southworth, J. 2004. From pattern to process: landscape fragmentation and the analysis of land use/land cover change,Agriculture, Ecosystems & Environment101: 111–115. http://dx.doi.org/10.1016/j.agee.2003.09.003

  18. Onojeghuo, A.O.; Blackburn, G.A. 2011. Forest transition in an ecologically important region: patterns and causes for landscape dynamics in the Niger Delta, Ecological Indicators 11: 1437–1446. http://dx.doi.org/10.1016/j.ecolind.2011.03.017

  19. Peng, J.; Wangb, Y.; Zhang, Y.; Wu, J.; Li, W.; Li, Y. 2010. Evaluating the effectiveness of landscape metrics in quantifying spatial patterns,Ecological Indicators 10: 217–223. http://dx.doi.org/10.1016/j.ecolind.2009.04.017

  20. Ramachandra T.V.; Kumar, U. 2004. Geographic Resources Decision Support System for land use, land cover dynamics analysis, in Proceedings of the FOSS/GRASS Users Conference, Bangkok,Thailand.

  21. Ramachandra T.V.; Kumar, U.; Diwakar, P. G.; Joshi, N. V. 2009.  Land cover assessment using À Trous Wavelet fusion and K-Nearest Neighbour classification, inProceedings of the 25th Annual In-House Symposium on Space Science and Technology,  ISRO – IISc Space Technology Cell, Indian Institute of Science, Bangalore.

  22. Ramachandra, T.V.; Aithal, B. H.; Durgappa, D. S. 2012. Insights to urban dynamics through landscape spatial pattern analysis, International Journal of Applied Earth Observation and Geoinformation 18: 329–343. http://dx.doi.org/10.1016/j.jag.2012.03.005

  23. Sudhira, H. S.; Ramachandra, T.V.; Jagadish, K.S. 2004. Urban sprawl: metrics, dynamics and modelling using G1S, International Journal of Applied Earth Observation and Geoinformation 5: 29–39. http://dx.doi.org/10.1016/j.jag.2003.08.002

  24. Volcania, A.; Karnielia, A. 2005. The use of remote sensing and GIS for spatio-temporal analysis of the physiological state of a semi-arid forest with respect to drought years, Forest Ecology and Management,  239–250. http://dx.doi.org/10.1016/j.foreco.2005.05.063

  25. Waring, R. H.; Coops, N. C.; Landsberg, J.  2010. Improving predictions of forest growth using the 3-PGS model with observations made by remote sensing, Forest Ecology and Management 259: 1722–1729. http://dx.doi.org/10.1016/j.foreco.2009.05.036

  26. Wilensky, U. 1999. NetLogo models[online]. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. Available from Internet: http://ccl.northwestern.edu/netlogo/models

  27. World Bank, World development report. 2008. Agriculture and Development.Quebecor World, United States.

  28. Yang, X.; Ming, G.; Luo, X.; Zheng, Z.2011.  Preliminary mapping of high-resolution rural population distribution based on imagery from Google Earth: a case study in the Lake Tai basin, eastern China, Applied Geography 32(2): 221–227. http://dx.doi.org/10.1016/j.apgeog.2011.05.008

  29. Zang, S.; Huang, X. 2006. An aggregated multivariate regression land-use model and its application to land-use change processes in the Daqing region (northeast China), Ecological Modelling 193(3–4): 503–516. http://dx.doi.org/10.1016/j.ecolmodel.2005.08.026

  30. Zhang,  Q.; Xiao, X.; Braswell, B.; Linder, E.; Ollinger, S.;  Smith, M.L.; Jenkins, J. P.; Baret, F.; Richardson, A. D.; Moore III, B.; Minocha, R.  2006. Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data, Remote Sensing of Environment 105(3): 189–203. http://dx.doi.org/10.1016/j.rse.2006.06.013

  31. Zhou, L.; Tucker, C.J.; Kaufmann, R.K.; Slayback, D.; Shabanov, N.V.; Myneni, R.B. 2001. Variation in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999, Journal of Geophysical Research-Atmospheres 106(17): 20069–20083. http://dx.doi.org/10.1029/2000JD000115

  32. Zeng, H.; Wu, X.B. 2005. Utilities of edge-based metrics for studying landscape fragmentation, Computers, Environment and Urban Systems 29(2): 159–178. http://dx.doi.org/10.1016/j.compenvurbsys.2003.09.002