LAND SURFACE TEMPERATURE RESPONSES TO THE LAND COVER DYNAMICS IN WESTERN GHATS
(PDF)
T V Ramachandra, Srijith A H and Bharath S
Energy and Wetlands Research Group,
Centre for Ecological Sciences,
Indian Institute of Science - 560012
References
1. Ado, H.Y., 1992. Numerical study of the daytime urban effect and its interaction with the sea breeze. Journal of Applied Meteorology, 31(10), pp.1146-1164
2. Alder, D. and Synnott, T.J., 1992. Permanent sample plot techniques for mixed tropical forest. Oxford Forestry Institute, University of Oxford.
3. Botkin, D.B., Estes, J.E., MacDonald, R.M. and Wilson, M.V., 1984. Studying the earth's vegetation from space. BioScience, pp.508-514.
4. Bonan, G.B., 2008. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. science, 320(5882), pp.1444-1449.
5. Bwangoy, J.R.B., Hansen, M.C., Roy, D.P., De Grandi, G. and Justice, C.O., 2010. Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices. Remote Sensing of Environment, 114(1), pp.73-86.
6. Campbell, J.B. and Wynne, R.H., 2011. Introduction to remote sensing. Guilford Press.
7. Cameron, 2009. EXCEL: Multiple Regression (January 2009). Available at: http://cameron.econ.ucdavis.edu/excel/ex61multipleregression.html (Accessed on June 25, 2017)
8. Chandran, M.S., 1997. On the ecological history of the Western Ghats. Current Science, pp.146-155.
9. Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M. and Zhang, W., 2015. Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, pp.7-27.
10. Cran, D.G., McKelvey, W.A.C., King, M.E., Dolman, D.F., McEvoy, T.G., Broadbent, P.J. and Robinson, J.J., 1997. Production of lambs by low dose intrauterine insemination with flow cytometrically sorted and unsorted semen. Theriogenology, 1(47), p.267.
11. Colombi, A., De Michele, C., Pepe, M., Rampini, A. and Michele, C.D., 2007. Estimation of daily mean air temperature from MODIS LST in Alpine areas. EARSeL eProceedings, 6(1), pp.38-46.
12. Crippen, R.E., 1990. Calculating the vegetation index faster. Remote Sensing of Environment, 34(1), pp.71-73.
13. Friedl, M.A., McIver, D.K., Hodges, J.C., Zhang, X.Y., Muchoney, D., Strahler, A.H., Woodcock, C.E., Gopal, S., Schneider, A., Cooper, A. and Baccini, A., 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83(1), pp.287-302.
14. Friedl, M.A., McIver, D.K., Hodges, J.C., Zhang, X.Y., Muchoney, D., Strahler, A.H., Woodcock, C.E., Gopal, S., Schneider, A., Cooper, A. and Baccini, A., 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83(1), pp.287-302.
15. Fu, B., Chen, L., Ma, K., Zhou, H. and Wang, J., 2000. The relationships between land use and soil conditions in the hilly area of the loess plateau in northern Shaanxi, China. Catena, 39(1), pp.69-78.
16. Gadgil, M., 2014. Western Ghats Ecology Expert Panel. Economic & Political Weekly, 49(18), p.39.
17. Ganasri, B.P. and Dwarakish, G.S., 2015. Study of land use/land cover dynamics through classification algorithms for Harangi catchment area, Karnataka State, India. Aquatic Procedia, 4, pp.1413-1420.
18. Giuliano, G. and Small, K.A., 1991. Subcenters in the Los Angeles region. Regional science and urban economics, 21(2), pp.163-182.
19. Gonzalez, R.C., Fry, D.N. and Kryter, R.C., 1974. Results in the application of pattern recognition methods to nuclear reactor core component surveillance. IEEE Transactions on Nuclear Science, 21(1), pp.750-756.
20. Hansen, A.J. and DeFries, R., 2007. Ecological mechanisms linking protected areas to surrounding lands. Ecological Applications, 17(4), pp.974-988.
21. Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R. and Kommareddy, A., 2013. High-resolution global maps of 21st-century forest cover change. science, 342(6160), pp.850-853
22. Hansen, Jim., World of change (May, 2017). Available at : https://earthobservatory.nasa.gov/Features/WorldOfChange/decadaltemp.php. (Accessed on 15 May, 2017)
23. Helmer, E.H., 2000. The landscape ecology of tropical secondary forest in montane Costa Rica. Ecosystems, 3(1), pp.98-114.
24. Huete, A., Justice, C. and Van Leeuwen, W., 1999. MODIS vegetation index (MOD13). Algorithm theoretical basis document, 3, p.213.
25. Jain, S.K. and Chaudhary, A. , 2010. Forest Cover Assessment of Uttranchal State (December 13, 2010). Available at: https://www.geospatialworld.net/article/forest-cover-assessment-of-uttranchal-state/ (Accessed on: April 20, 2017)
26. Jennings, S.B., Brown, N.D. and Sheil, D., 1999. Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures. Forestry, 72(1), pp.59-74.
27. Jha, C.S., Dutt, C.B.S. and Bawa, K.S., 2000. Deforestation and land use changes in Western Ghats, India. Current Science, pp.231-238.
28. Kasturirangan, K., 1985. The evolution of satellite-based remote-sensing capabilities in India. International Journal of Remote Sensing, 6(3-4), pp.387-400.
29. Klein Goldewijk, C.G.M. and Battjes, J.J., 1997. A hundred year (1890–1990) database for integrated environmental assessments (HYDE, version 1.1). National institute of public health and the environment (RIVM), Bilthoven, the Netherlands.
30. Kriegler, F.J., Malila, W.A., Nalepka, R.F. and Richardson, W., 1969. Preprocessing transformations and their effects on multispectral recognition. In Remote Sensing of Environment, VI (p. 97).
31. Kusangaya, S., Warburton, M.L., Van Garderen, E.A. and Jewitt, G.P., 2014. Impacts of climate change on water resources in southern Africa: A review. Physics and Chemistry of the Earth, Parts A/B/C, 67, pp.47-54.
32. Lambin, E.F., Turner, B.L., Geist, H.J., Agbola, S.B., Angelsen, A., Bruce, J.W., Coomes, O.T., Dirzo, R., Fischer, G., Folke, C. and George, P., 2001. The causes of land-use and land-cover change: moving beyond the myths. Global environmental change, 11(4), pp.261-269.
33. Lambin, E.F., 1997. Modelling and monitoring land-cover change processes in tropical regions. Progress in physical geography, 21(3), pp.375-393.
34. Lambin, E.F., Geist, H. and Rindfuss, R.R., 2006. Introduction: local processes with global impacts. In Land-use and land-cover change (pp. 1-8). Springer Berlin Heidelberg.
35. Lepers, E., Lambin, E.F., Janetos, A.C., DeFries, R., Achard, F., Ramankutty, N. and Scholes, R.J., 2005. A synthesis of information on rapid land-cover change for the period 1981–2000. AIBS Bulletin, 55(2), pp.115-124.
36. Lillesand, T., Kiefer, R.W. and Chipman, J., 2014. Remote sensing and image interpretation. John Wiley & Sons.
37. Lindquist, E.J., Hansen, M.C., Roy, D.P. and Justice, C.O., 2008. The suitability of decadal image data sets for mapping tropical forest cover change in the Democratic Republic of Congo: implications for the global land survey. International Journal of Remote Sensing, 29(24), pp.7269-7275.
38. Mohan., 2008. Geopolitical Profile – Girdling Six States (July 30, 2008). Available at: http://westernghats-paimohan.blogspot.in/2008/07/geopolitical-profile.html/ (Accessed on April 20, 2017)
39. MoEF., 2015. State of Forest – Report (2015). Available at: http://fsi.nic.in/details.php?pgID=sb_62 (Accessed on May 10, 2017)
40. Mountford, E.P. and Peterken, G.F., 2003. Long‐term change and implications for the management of wood‐pastures: experience over 40 years from Denny Wood, New Forest. Forestry, 76(1), pp.19-43.
41. Patra, P., 2010. Remote Sensing and Geographical Information System (GIS). The Association for Geographical studies.
42. Pelleg, D. and Moore, A.W., 2000, June. X-means: Extending K-means with Efficient Estimation of the Number of Clusters. In ICML (Vol. 1, pp. 727-734).
43. Peterken, G.F., 1974. A method for assessing woodland flora for conservation using indicator species. Biological Conservation, 6(4), pp.239-245.
44. Sánchez-Cuervo, A.M., Aide, T.M., Clark, M.L. and Etter, A., 2012. Land cover change in Colombia: surprising forest recovery trends between 2001 and 2010. PLoS One, 7(8), p.e43943
45. Schielzeth, H., 2010. Simple means to improve the interpretability of regression coefficients. Methods in Ecology and Evolution, 1(2), pp.103-113.
46. Sathe, P.V. and Chauhan, O.S., 2003. The saga of Sahyadri: societal environmental issues of Konkan and Goa. Recent Advances in Environmental Science, pp.26-35.
47. Setiawan, Y. and Yoshino, K., 2012. Change detection inland-use and land-cover dynamics at a regional scale from modis time-series imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 7.
48. Setiawan, Y., Yoshino, K. and Prasetyo, L.B., 2014. Characterizing the dynamics change of vegetation cover on tropical forestlands using 250m multi-temporal MODIS EVI. International Journal of Applied Earth Observation and Geoinformation, 26, pp.132-144.
49. Setturu, B. and Ramachandra, T.V., 2012. Landscape dynamics of Uttara Kannada district. In National Conference on Conservation and Management of Wetland Ecosystems.
50. Wan, Z., 2007. Collection-5 MODIS land surface temperature products users’ guide. ICESS, University of California, Santa Barbara.
51. Whitman, 2016. The Ecosystem and how it relates to Sustainability (October 24, 2016). Available at: https://globalchange.umich.edu/globalchange1/current/lectures/kling/eco-system/ecosystem.html/ (Accessed on April 30, 2017).
|