Land cover characterization and mapping of South America for the year 2010 using landsat 30 m satellite data

Remote Sensing

Volumn 6, Issue 10, 2014, Pages 9494-9510

  Giri, Chandra ^a   Long, Jordan ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

Image processing; Land cover; Landsat; Mapping; South America; Validation

Indexed keywords

BIODIVERSITY; CONSERVATION; FORESTRY; IMAGE PROCESSING; INFORMATION MANAGEMENT; NATURAL RESOURCES MANAGEMENT; REMOTE SENSING; RESOURCE ALLOCATION; SATELLITES;

BIODIVERSITY CONSERVATION; CONSERVATION STRATEGIES; LAND COVER; LANDSAT; NON GOVERNMENT ORGANIZATIONS; REMOTE SENSING TECHNIQUES; SOUTH AMERICA; VALIDATION;

MAPPING;

IMAGE ANALYSIS; KAPPA NUMBER; LAND USE; SATELLITES; SOUTH AMERICA;

EID: 84923640430     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6109494     Document Type: Article

References (51)

1. Turner, B.; Meyer, W.B.; Skole, D.L. Global land-use/land-cover change: Towards an integrated study. Ambio. Stockholm 1994, 23, 91-91.
2. Giri, C.P. Brief overview of remote. In Remote Sensing of Land Use and Land Cover: Principles and Applications; CRC Press: Boca Raton, FL, USA, 2012; Volume 8, p. 1.
3. Giri, C.; Pengra, B.; Long, J.; Loveland, T.R. Next generation of global land cover characterization, mapping, and monitoring. Int. J. Appl. Earth Obs. 2013, 25, 30-37.
4. Foody, G.M. Status of land cover classification accuracy assessment. Remote Sens. Environ. 2002, 80, 185-201.
5. McCarthy, D.P.; Donald, P.F.; Scharlemann, J.P.; Buchanan, G.M.; Balmford, A.; Green, J.M.; Bennun, L.A.; Burgess, N.D.; Fishpool, L.D.; Garnett, S.T. Financial costs of meeting global biodiversity conservation targets: Current spending and unmet needs. Science 2012, 338, 946-949.
6. Rojas, C.; Pino, J.; Basnou, C.; Vivanco, M. Assessing land-use and-cover changes in relation to geographic factors and urban planning in the metropolitan area of Concepción (Chile). Implications for biodiversity conservation. Appl. Geogr. 2013, 39, 93-103.
7. Giri, C.; Shrestha, S. Land cover mapping and monitoring from NOAA AVHRR data in Bangladesh. Int. J. Remote Sens. 1996, 17, 2749-2759.
8. Bartholome, E.; Belward, A.S. GLC2000: A new approach to global land cover mapping from earth observation data. Int. J. Remote Sens. 2005, 26, 1959-1977.
9. Blanco, P.D.; Colditz, R.R.; López Saldaña, G.; Hardtke, L.A.; Llamas, R.M.; Mari, N.A.; Fischer, A.; Caride, C.; Aceñolaza, P.G.; del Valle, H.F.; et al. A land cover map of Latin America and the Caribbean in the framework of the SERENA project. Remote Sens. Environ. 2013, 132, 13-31.
10. Loveland, T.; Reed, B.; Brown, J.; Ohlen, D.; Zhu, Z.; Yang, L.; Merchant, J. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int. J. Remote Sens. 2000, 21, 1303-1330.
11. Giri, C.; Zhu, Z.L.; Reed, B. A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote Sens. Environ. 2005, 94, 123-132.
12. Loveland, T. History of land cover mapping. In Remote Sensing of Land Use and Land Cover: Principles and Applications, Giri, C., Ed.; CRC Press, Taylor&Francis Group: Boca Raton, FL, USA, 2012; p. 425.
13. Giri, C.; Jenkins, C. Land cover mapping of Greater Mesoamerica using MODIS data. Can. J. Remote Sens. 2005, 31, 274-282.
14. Thenkabail, B.P.S.; Knox, J.W.; Ozdogan, M.; Gumma, M.K.; Congalton, R.G.; Wu, Z.T.; Milesi, C.; Finkral, A.; Marshall, M.; Mariotto, I. Assessing future risks to agricultural productivity: Water resources and food security: How can remote sensing help? Photogramm. Eng. Remote Sens. 2012, 78, 773-782.
15. Lindquist, E.; D'Annunzio, R.; Gerrand, A.; MacDicken, K.; Achard, F.; Beuchle, R.; Brink, A.; Eva, H.D.; Mayaux, P.; San-Miguel-Ayanz, J.; et al. Global Forest Land-Use Change 1990-2005; Food and Agriculture Organization of the United nations and European Commission Joint Reseach Center: Rome, Italy, 2012; p. 53.
16. Aide, T.M.; Clark, M.L.; Grau, H.R.; López-Carr, D.; Levy, M.A.; Redo, D.; Bonilla-Moheno, M.; Riner, G.; Andrade-Núñez, M.J.; Muñiz, M. Deforestation and reforestation of Latin America and the Caribbean (2001-2010). Biotropica 2013, 45, 262-271.
17. Grau, H.R.; Aide, M. Globalization and land-use transitions in Latin America. Ecol. Soc. 2008, 13.
18. 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.; et al. High-resolution global maps of 21st-century forest cover change. Science 2013, 342, 850-853.
19. Eva, H.D. A land cover map of South America. Glob. Change Biol. 2004, 10, 731-744.
20. Woodwell, G.M.; Hobbie, J.; Houghton, R.; Melillo, J.; Moore, B.; Peterson, B.; Shaver, G. Global deforestation: Contribution to atmospheric carbon dioxide. Science 1983, 222, 1081-1086.
21. Fearnside, P.M. Greenhouse gases from deforestation in Brazilian Amazonia: Net committed emissions. Climatic Change 1997, 35, 321-360.
22. 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. The causes of land-use and land-cover change: Moving beyond the myths. Global Environ. Change 2001, 11, 261-269.
23. Arino, O.; Bicheron, P.; Achard, F.; Latham, F.; Witt, R.; Weber, J.L. The Most Detailed Portrait of Earth; European Space Agency: Frascati, Italy, 2008; Bulletin 136, pp. 25-31.
24. Arino, O.; Ramos, J.; Kalogirou, V.; Defourny, P.; Achard, F. Globcover 2009. In Proceedings of 2010 Living Planet Symposium, Bergen, Norway, 27 June-2 July 2010; ESA: Bergen, Norway, 2010.
25. Clark, M.L.; Aide, T.M.; Riner, G. Land change for all municipalities in Latin America and the Caribbean assessed from 250-m MODIS imagery (2001-2010). Remote Sens. Environ. 2012, 126, 84-103.
26. De Fries, R.S.; Hansen, M.; Townshend, J.R.G.; Sohlberg, R. Global land cover classifications at 8 km spatial resolution: The use of training data derived from landsat imagery in decision tree classifiers. Int. J. Remote Sens. 1998, 19, 3141-3168.
27. Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H.; Woodcock, C.E.; Gopal, S.; Schneider, A.; Cooper, A.; et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 2002, 83, 287-302.
28. Hansen, M.; DeFries, R.; Townshend, J.; Carroll, M.; Dimiceli, C.; Sohlberg, R. Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm. Earth Interact. 2003, 7, 1-15.
29. Hansen, M.C.; Defries, R.S.; Townshend, J.R.G.; Sohlberg, R. Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 2000, 21, 1331-1364.
30. Matthews, E. Global vegetation and land use: New high-resolution data bases for climate studies. J. Clim. Appl. Meteorol. 1983, 22, 474-487.
31. Gascon, L.H.; Eva, H.D.; Gobron, N.; Simonetti, D.; Fritz, S. The application of medium-resolution MERIS satellite data for continental land-cover mapping over South America: Results and caveats. In Remote Sensing of Land Use and Land Cover: Principles and Applications, Giri, C., Ed.; CRC Press: London, UK, 2012; pp. 325-337.
32. Xie, Y.; Sha, Z.; Yu, M. Remote sensing imagery in vegetation mapping: A review. J. Plant. Ecol. 2008, 1, 9-23.
33. Gong, P.; Wang, J.; Yu, L.; Zhao, Y.C.; Zhao, Y.Y.; Liang, L.; Niu, Z.G.; Huang, X.M.; Fu, H.H.; Liu, S., et al. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. Int. J. Remote Sens. 2013, 34, 2607-2654.
34. Shuttle Radar Topography Mission. Available online: http://www2.jpl.nasa.gov/srtm/ (accessed on 13 May 2014).
35. Elvidge, C.D.; Baugh, K.E.; Kihn, E.A.; Kroehl, H.W.; Davis, E.R. Mapping city lights with nighttime data from the DMSP Operational Linescan System. Photogramm. Eng. Remote Sens. 1997, 63, 727-734.
36. Di Gregorio, A. Land Cover Classification System: Classification Concepts and User Manual: Lccs; Food and Agriculture Organization of the United Nations: Rome, Italy, 2005; p. 91.
37. Landsat 7: Science Data Users Handbook. Available online: http://landsathandbook.gsfc.nasa.gov/(accessed on 22 May 2014).
38. Hansen, M.C.; Roy, D.P.; Lindquist, E.; Adusei, B.; Justice, C.O.; Altstatt, A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sens. Environ. 2008, 112, 2495-2513.
39. Unofficial Windows Binaries for Python Extension Packages. Available online: http://www.lfd.uci.edu/~gohlke/pythonlibs/ (accessed on 7 June 2014).
40. Breiman, L. Random forests. Mach. Learn. 2001, 45, 5-32.
41. Friedl, M.A.; Brodley, C.E.; Strahler, A.H. Maximizing land cover classification accuracies produced by decision trees at continental to global scales. IEEE Trans. Geosci. Remote Sens. 1999, 37, 969-977.
42. Myint, S.W.; Yuan, M.; Cerveny, R.S.; Giri, C.P. Comparison of remote sensing image processing techniques to identify tornado damage areas from Landsat TM data. Sensors 2008, 8, 1128-1156.
43. Earth's Night Lights. Available online: http://www.nasa.gov/centers/goddard/news/topstory/2003/0815citylights.html (accessed on 7 June 2014).
44. Limhoff, M.; Lawrence, W.T.; Stutzer, D.C.; Elvidge, C.D. A technique for using composite DMSP/OLS "city lights" satellite data to map urban area. Remote Sens. Environ. 1997, 61, 361-370.
45. Olofsson, P.; Stehman, S.V.; Woodcock, C.E.; Sulla-Menashe, D.; Sibley, A.M.; Newell, J.D.; Friedl, M.A.; Herold, M. A global land-cover validation data set, part I: Fundamental design principles. Int. J. Remote Sens. 2012, 33, 5768-5788.
46. Stehman, S.V.; Olofsson, P.; Woodcock, C.E.; Herold, M.; Friedl, M.A. A global land-cover validation data set, II: Augmenting a stratified sampling design to estimate accuracy by region and land-cover class. Int. J. Remote Sens. 2012, 33, 6975-6993.
47. Congalton, R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46.
48. Land Use Land Cover. Available online: http://www.geosur.info/geosur/index.php/en/ (accessed on 10 June 2014).
49. Homer, C.; Dewitz, J.; Fry, J.; Coan, M.; Hossain, N.; Larson, C.; Herold, N.; McKerrow, A.; VanDriel, J.N.; Wickham, J. Completion of the 2001 National Land Cover Database for the conterminous United States. Photogramm. Eng. Remote Sens. 2007, 73, 337-341.
50. Feranec, J.; Soukup, T.; Gazeu, G.; Jaffrain, G. Land cover and its change in Europe:1996-2006. In Remote Sensing of Land Cover: Principles and Applicaitons, Giri, C., Ed.; Taylor and Francis: Boca Raton, FL, USA, 2011; p. 425.
51. Hansen, M.C.; Shimabukuro, Y.E.; Potapov, P.; Pittman, K. Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover. Remote Sens. Environ. 2008, 112, 3784-3793.