Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data

International Journal of Remote Sensing

Volumn 37, Issue 19, 2016, Pages 4648-4664

  Feng, Duole ^a   Zhao, Yuanyuan ^a   Yu, Le ^a,b   Li, Congcong ^a   Wang, Jie ^c   Clinton, Nicholas ^a   Bai, Yuqi ^a   Belward, Alan ^d   Zhu, Zhiliang ^e   Gong, Peng ^a,b  

^a TSINGHUA UNIVERSITY   (China)

^b JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

^d JOINT RESEARCH CENTRE   (Italy)

^e U S GEOLOGICAL SURVEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; PHOTOMAPPING; VEGETATION;

CLASSIFICATION SCHEME; ENHANCED THEMATIC MAPPER PLUS (ETM+); IMPERVIOUS SURFACE; LANDSAT THEMATIC MAPPER; OPERATIONAL LAND IMAGER; OVERALL ACCURACIES; PRODUCT COMPARISONS; SPATIAL RESOLUTION;

IMAGE ENHANCEMENT;

ACCURACY ASSESSMENT; CLASSIFICATION; FOREST; LAND COVER; LANDSAT THEMATIC MAPPER; MAPPING; RESOLUTION; SATELLITE IMAGERY;

EID: 84990847693     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1218090     Document Type: Article

References (41)

1. African Development Bank Group. 2015. Development Effectiveness Review 2015. Immeuble CIAA, Côte d’Ivoire:African Development Bank Group.
2. E.Bartholomé, and A.S.Belward. 2005. “GLC2000:A New Approach to Global Land Cover Mapping from Earth Observation Data.” International Journal of Remote Sensing 26 (9):1959–1977. doi:10.1080/01431160412331291297.
3. P.Bicheron, P.Defourny, C.Brockmann, L.Schouten, C.Vancutsem, M.Huc, S.Bontemps, et al. 2008. Globcover:Products Description and Validation Report, ESA GlobCover Project. Toulouse:Medias France.
4. S.Bontemps, P.Defourny, E.V.Bogaert, O.Arino, V.Kalogirou, and J.R.Perez. 2011. “GLOBCOVER 2009-Products Description and Validation Report.” http://due.esrin.esa.int/files/GLOBCOVER2009_Validation_Report_2.2.pdf
5. C.Boryan, Z.W.Yang, R.Mueller, and M.Craig. 2011. “Monitoring US Agriculture:The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program.” Geocarto International 26 (5):341–358. doi:10.1080/10106049.2011.562309.
6. L.Breiman, 2001. “Random Forests.” Machine Learning 45 (1):5–32. doi:10.1023/A:1010933404324.
7. A.B.Brink, and H.D.Eva. 2009. “Monitoring 25 Years of Land Cover Change Dynamics in Africa:A Sample Based Remote Sensing Approach.” Applied Geography 29 (4):501–512. doi:10.1016/j.apgeog.2008.10.004.
8. B.M.Campbell, ed. 1996. The Miombo in Transition:Woodlands and Welfare in Africa. Bogor, Indonesia:Cifor.
9. T.A.Croft, 1978. “Nighttime Images of the Earth from Space.” Scientific American 239:86–98. doi:10.1038/scientificamerican0778-86.
10. M.J.Donnelly, P.J.McCall, C.Lengeler, I.Bates, U.D’Alessandro, G.Barnish, F.Konradsen, et al. 2005. “Malaria and Urbanization in Sub- Saharan Africa.” Malaria Journal 4 (1):12. doi:10.1186/1475-2875-4-12.
11. FAO, IFAD and WFP. 2015. The State of Food Insecurity in the World 2015. Meeting the 2015 International Hunger Targets:Taking Stock of Uneven Progress. Rome, Italy:FAO.
12. M.Fern, and E.Cernadas. 2014. “Do We Need Hundreds of Classifiers to Solve Real World Classification Problems?” Journal of Machine Learning Research 15:3133–3181.
13. M.A.Friedl, D.Sulla-Menashe, B.Tan, A.Schneider, N.Ramankutty, A.Sibley, and X.M.Huang. 2010. “MODIS Collection 5 Global Land Cover:Algorithm Refinements and Characterization of New Datasets.” Remote Sensing of Environment 114 (1):168–182. doi:10.1016/j.rse.2009.08.016.
14. P.Gong, J.Wang, L.Yu, Y.C.Zhao, Y.Y.Zhao, L.Liang, Z.G.Niu, et al. 2013. “Finer Resolution Observation and Monitoring of Global Land Cover:First Mapping Results with Landsat TM and ETM+ Data.” International Journal of Remote Sensing 34 (7):2607–2654. doi:10.1080/01431161.2012.748992.
15. M.C.Hansen, R.S.DeFries, J.R.G.Townshend, and R.Sohlberg. 2000. “Global Land Cover Classification at 1 Km Spatial Resolution Using a Classification Tree Approach.” International Journal of Remote Sensing 21 (6–7):1331–1364. doi:10.1080/014311600210209.
16. J.V.Henderson, A.Storeygard, and U.Deichmann. 2014. 50 Years of Urbanization in Africa:Examining the Role of Climate Change. Washington, DC:The World Bank. http://econ.worldbank.org.
17. C.Homer, J.Dewitz, J.Fry, M.Coan, N.Hossain, C.Larson, N.Herold, A.McKerrow, J.N.VanDriel, and J.Wickham. 2007. “Completion of the 2001 National Land Cover Database for the Counterminous United States.” Photogrammetric Engineering and Remote Sensing 73 (4):337–341.
18. Z.D.Kalensky, 1998. “AFRICOVER Land Cover Database and Map of Africa.” Canadian Journal of Remote Sensing 24 (3):292–297. doi:10.1080/07038992.1998.10855250.
19. S.Kayizzi-Mugerwa, A.Shimeles, and N.D.Yaméogo. 2014. Urbanization and Socio-Economic Development in Africa:Challenges and Opportunities. London:Routledge.
20. C.C.Li, P.Gong, J.Wang, C.Yuan, T.Hu, Q.Wang, L.Yu, et al. 2016. “An All-Season Sample Database for Improving Land-Cover Mapping of Africa with Two Classification Schemes.” International Journal of Remote Sensing 37:4623–4647. doi:10.1080/01431161.2016.1213923.
21. T.R.Loveland, B.C.Reed, J.F.Brown, D.O.Ohlen, Z.Zhu, L.Yang, and J.W.Merchant. 2000. “Development of a Global Land Cover Characteristics Database and IGBP Discover from 1 Km AVHRR Data.” International Journal of Remote Sensing 21 (6–7):1303–1330. doi:10.1080/014311600210191.
22. P.Mayaux, H.Eva, J.Gallego, A.H.Strahler, M.Herold, S.Agrawal, S.Naumov, et al. 2006. “Validation of the Global Land Cover 2000 Map.” IEEE Transactions on Geoscience and Remote Sensing 44 (7):1728–1739. doi:10.1109/TGRS.2006.864370.
23. D.R.Oetter, W.B.Cohen, M.Berterretche, T.K.Maiersperger, and R.E.Kennedy. 2001. “Land Cover Mapping in an Agricultural Setting Using Multiseasonal Thematic Mapper Data.” Remote Sensing of Environment 76 (2):139–155. doi:10.1016/S0034-4257(00)00202-9.
24. Population Reference Bureau. 2014. 2014 World Population Data Sheet. Washington, DC:Population Reference Bureau.
25. D.Satterthwaite, 2014. “Urbanization in Low-And Middle-Income Nations in Africa, Asia and Latin America.” In The Companion to Development Studies, edited by V. Desai and R. Potter, 279–285. 3rd ed. Oxon:Routledge.
26. L.See, D.Schepaschenko, M.Lesiv, I.McCallum, S.Fritz, A.Comber, C.Perger, et al. 2015. “Building a Hybrid Land Cover Map with Crowdsourcing and Geographically Weighted Regression.” ISPRS Journal of Photogrammetry and Remote Sensing 103:48–56. doi:10.1016/j.isprsjprs.2014.06.016.
27. R.Tateishi, N.T.Hoan, T.Kobayashi, B.Alsaaideh, G.Tana, and D.X.Phong. 2014. “Production of Global Land Cover Data– GLCNMO2008.” Journal of Geography and Geology 6 (3):99–122. doi:10.5539/jgg.v6n3p99.
28. R.Tateishi, B.Uriyangqai, H.Al-Bilbisi, M.A.Ghar, J.Tsend-Ayush, T.Kobayashi, A.Kasimu, et al. 2011. “Production of Global Land Cover Data–Glcnmo.” International Journal of Digital Earth 4 (1):22–49. doi:10.1080/17538941003777521.
29. C.J.Tucker, J.R.Townshend, and T.E.Goff. 1985. “African Land-Cover Classification Using Satellite Data.” Science 227 (4685):369–375. doi:10.1126/science.227.4685.369.
30. M.Tum, K.P.Günther, and M.Kappas 2013. “A Process-Based Vegetation Model for Estimating Agricultural Bioenergy Potentials.” In Sustainable Bioenergy Production-An Integrated Approach, edited by H.Ruppert, M.Kappas, and J.Ibendorf, 97–110. Netherlands:Springer. ISBN 978-94-007-6642-6.
31. UNEP. 2008. Africa:Atlas of our Changing Environment. Nairobi, Kenya:United Nations Environment Programme.
32. UNEP. 2010. State of Biodiversity in Africa. Nairobi, Kenya:United Nations Environment Programme.
33. D.White, J.A.Kimerling, and S.W.Overton. 1992. “Cartographic and Geometric Components of a Global Sampling Design for Environmental Monitoring.” Cartography and Geographic Information Systems 19 (1):5–22.
34. C.Wiedinmyer, B.Quayle, C.Geron, A.Belote, D.McKenzie, X.Y.Zhang, S.O’Neill, and K.K.Wynne. 2006. “Estimating Emissions from Fires in North America for Air Quality Modeling.” Atmospheric Environment 40 (19):3419–3432. doi:10.1016/j.atmosenv.2006.02.010.
35. H.Q.Xu, 2006. “Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27 (14):3025–3033. doi:10.1080/01431160600589179.
36. Q.C.Yang, H.Q.Tian, X.Li, B.Tao, W.Ren, G.S.Chen, C.Q.Lu, et al. 2015. “Spatiotemporal Patterns of Evapotranspiration along the North American East Coast as Influenced by Multiple Environmental Changes.” Ecohydrology 8 (4):714–725. doi:10.1002/eco.1538.
37. L.Yu, J.Wang, N.Clinton, Q.C.Xin, L.H.Zhong, Y.L.Chen, and P.Gong. 2013. “FROM-GC:30 M Global Cropland Extent Derived through Multisource Data Integration.” International Journal of Digital Earth 6 (6):521–533. doi:10.1080/17538947.2013.822574.
38. L.Yu, J.Wang, and P.Gong. 2013. “Improving 30 M Global Land-Cover Map FROM-GLC with Time Series MODIS and Auxiliary Data Sets:A Segmentation-Based Approach.” International Journal of Remote Sensing 34:5851–5867. doi:10.1080/01431161.2013.798055.
39. L.Yu, J.Wang, X.C.Li, C.C.Li, Y.Y.Zhao, and P.Gong. 2014. “A Multi-Resolution Global Land Cover Dataset through Multisource Data Aggregation.” Science China Earth Sciences 57 (10):2317–2329. doi:10.1007/s11430-014-4919-z.
40. Y.Y.Zhao, P.Gong, L.Yu, L.Y.Hu, X.Y.Li, C.C.Li, H.Y.Zhang, et al. 2014. “Towards a Common Validation Sample Set for Global Land-Cover Mapping.” International Journal of Remote Sensing 35 (13):4795–4814. doi:10.1080/01431161.2014.930202.
41. Z.Zhu, C.E.Woodcock, J.Rogan, and J.Kellndorfer. 2012. “Assessment of Spectral, Polarimetric, Temporal, and Spatial Dimensions for Urban and Peri-Urban Land Cover Classification Using Landsat and SAR Data.” Remote Sensing of Environment 117:72–82. doi:10.1016/j.rse.2011.07.020.