North American land-change monitoring system

Remote Sensing of Land Use and Land Cover: Principles and Applications

Volumn , Issue , 2016, Pages 303-323

  Latifovic, Rasim ^a   Homer, Colin ^b   Ressl, Rainer ^c   Pouliot, Darren ^a   Hossain, Sheikh Nazmul ^d   Colditz, René R ^c   Olthof, Ian ^a   Giri, Chandra P ^b   Victoria, Arturo ^e  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

^b U S GEOLOGICAL SURVEY   (United States)

^c National Commission for the Knowledge and Use of Biodiversity (CONABIO)   (Mexico)

^d SGT INC   (United States)

^e National Institute of Statistics and Geography Aguascalientes   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

EARTH SCIENCES;

LAND CHANGES; MONITORING SYSTEM; NORTH AMERICAN;

REMOTE SENSING;

EID: 85051311564     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (52)

1. Arino, O., Bicheron, P., Achard, F., Latham, J., Witt, R., and Weber, J. 2008. The most detailed portrait of Earth. ESA Bulletin, 136, 24-31.
2. Jones, B.K., 2008. North American land cover summit: Summary. In J.C. Campbell, K.B. Jones, J.H. Smith, and M.T. Koeppe (Eds.), North America Land Cover Summit. Washington, DC: Associate of American Geographers.
3. ALCC. 2008. Agriculture Land Cover Classification (ALCC). Classification of Agricultural Lands in Alberta, Saskatchewan and the Peace Region of British Columbia. Digital Environmental TM.
4. Bauer, E. and Kohavi, R. 1999. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1-2), 105-139.
5. Breimann, L., Friedman, J., Ohlsen, R., and Stone, C. 1984. Classification and Regression Trees. Wadsworth, Belmont, CA
6. CDED. 2000. Canadian Digital Elevation Data. Government of Canada, Natural Resources Canada, Earth Sciences Sector, Centre for Topographic Information.
7. CEOS. 2006. Satellite observation of the climate system: The Committee on Earth Observation Satellites (CEOS) response to the implementation plan for the Global Observing System for Climate in support of the UNFCCC, 54 pp. Available at: http://www.ceos.org
8. Colditz, R.R., López, D., Wehrmann, T., Hüttich, C., Crúz, M.I., Muñoz, E., and Ressl, R., 2008. Guideline for automated training data derivation. Working paper in the project: North American Land Change Monitoring System (NALCMS), pp. 18.
9. DeFries, R., Hansen, M., Townshend, J.R.G., and Sohlberg, R. 1998. Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers. International Journal of Remote Sensing, 19, 3141-3168.
10. Fernandes, R.A., Pavlic, G., Chen, W., and Fraser, R. 2001. Canada-wide 1-km water fraction derived from National Topographic Data Base maps. Natural Resources Canada.
11. Fraser, R., Hall, R., Landry, R., Lynham, T., Raymond, D., Lee, B., and Li, Z. 2004. Validation and calibration of Canada-wide-resolution satellite burned area maps. Photogrammetric Engineering and Remote Sensing, 70, 451-460.
12. Friedl, M.A. and Brodley, C.E. 1997. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment, 61, 399-409.
13. Friedl, M.A., Brodley, C.E., and Strahler, A. 1999. Land cover classification accuracies produced by decision trees at continental to global scales. IEEE Transactions on Geoscience and Remote Sensing, 37, 969-977.
14. Friedl, M.A., McIver, D.K., Hodges J.C.F., Zhang X.Y., Muchoney, D., Strahler, A.H., Woodcock, C.E., et al. 2002. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment, 83, 287-302.
15. Friedl, M.A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., and Xiaoman, H. 2010. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168-182.
16. Freund, Y. and Schapire, R.E. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
17. GCOS. 2006. Systematic observation requirements for satellite-based products for climate. Supplemental details to the satellite-based component of the Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC. GCOS-107, September 2006. Available at: http://www.wmo.int/pages/prog/gcos/Publications/gcos-107.pdf
18. GTOS. 2008. Terrestrial Essential Climate Variables. Biennial report supplement for Climate Change Assessment, Mitigation and Adaptation. GTOS publication 52. FAp. 2008. 44 pp.
19. Hansen, M., Dubayah, R., and DeFries, R. 1996. Classification trees: An alternative to traditional land cover classifiers. International Journal of Remote Sensing, 17, 1075-1081.
20. Homer, C.G., Ramsey, R.D., Edwards, Jr., T.C., and Falconer, A. 1997. Land cover-type modeling using a multi-scene Thematic Mapper mosaic. Photogrammetric Engineering and Remote Sensing, 63, 59-67.
21. Homer, C. and Gallant, A. 2001. Partitioning the conterminous United States into mapping zones for Landsat TM land cover mapping. USGS White Paper.
22. Homer, C., Huang, C., Young, L., Wylie, B., Coan, M. 2004. Development of a 2001 National Landcover Database for the Unites states. Photogrammetric Engineering and Remote Sensing, 70(7), 829-840.
23. INEGI. 2005. Dirección General de Geografía-INEGI (ed.), Conjunto de Datos Vectoriales de la Carta de Uso del Suelo y Vegetación, Escala 1:250, 000, Serie III (CONTINUO NACIONAL), Instituto Nacional de Estadística, Geografía e Informática-INEGI. Aguascalientes, Ags., México.
24. INEGI. 2007. Instituto Nacional de Estadística Geografía e Informática (INEGI) "Localidades de la República Mexicana, 2005," Obtenido de Principales resultados por localidad 2005, II Conteo de población y Vivienda 2005, Editado por Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), 2007, México.
25. Khlopenkov, K.V. and Trishchenko, A.P. 2008. Implementation and evaluation of concurrent gradient search method for reprojection of MODIS level 1B imagery. IEEE Transaction on Geoscience and Remote Sensing, 46, 2016-2027.
26. Latifovic, R., Cihlar, J., and Beaubien, J. 1999. Clustering methods for unsupervised classification. In Proceedings of the 21st Canadian Remote Sensing Symposium, June 1999, Ottawa, Ont. CD-ROM. Canadian Aeronautics and Space Institute, Ottawa, Ont. Vol. 2, pp. 509-515.
27. Latifovic, R., Zhu, Z., Cihlar, J., Giri, C., and Olthof, I. 2004. Land cover mapping of North and Central America-Global Land Cover 2000. Remote Sensing of Environment, 89, 116-127.
28. Latifovic, R. and Pouliot, D.A. 2005. Multitemporal land cover mapping for Canada: Methodology and products. Canadian Journal of Remote Sensing, 31, 347-363.
29. Latifovic, R. and Pouliot, D.A. 2006. Analysis of climate change impacts on lake ice phenology in Canada using the historical satellite data record. Remote Sensing of Environment, 106, 492-507.
30. Latifovic, R., Pouliot, D., and Olthof, I. 2009. North America Land Change Monitoring System: Canadian perspective. 30th Canadian Symposium on Remote Sensing, June 22-25. Lethbridge Alberta Canada.
31. Loveland, T.R. and Belward, A.S. 1997. The IGBP-DIS global 1 km land cover data set, DISCover: Results. International Journal of Remote Sensing, 18, 3289-3295.
32. Luo, Y., Trichtchenko, A.P., and Khlopenkov, K.V. 2008. Developing clear-sky, cloud and cloud shadow mask for producing clear-sky composites at 250-meter spatial resolution for the seven MODIS land bands over Canada and North America. Remote Sensing of Environment, 112, 4167-4185.
33. NCEP. 2009. North American Regional Reanalysis (NARR) Data Sets. Available at: http://nomads.ncdc.noaa. gov/data.php?name=access through the NOAA National Operational Model Archive and Distribution System (NOMADS) of the National Oceanic and Atmospheric Administration (NOAA), National Climatic Data Center (NCDC), Asheville, NC.
34. NLCC. 2008. Circa-2000 Northern Land Cover of Canada (NLCC). Earth Sciences Sector, Canada Centre for Remote Sensing, Natural Resources Canada.
35. NLWIS. 2009. National Land and Water Information System (NLWIS) Land Cover for agricultural regions of Canada, circa 2000. Government of Canada/Agriculture and Agri-Food Canada (GC/AAFC).
36. NRN. 2007. National Road Network, 2nd ed. Government of Canada, Natural Resources Canada, Earth Sciences Sector, Geomatics Canada, Centre for Topographic Information.
37. Olthof, I., Latifovic, R., and Pouliot, D. 2009. Development of a circa 2000 land cover map of northern Canada at 30 m resolution from Landsat. Canadian Journal of Remote Sensing, 35, 152-165.
38. Pouliot, D.A., Latifovic, R., Fernandes, R., and Olthof, I. 2009. Evaluation of annual forest disturbance monitoring using a statistic decision tree approach and 250 m MODIS data. Remote Sensing of Environment, 113, 1749-1759.
39. Quinlan, J.R. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco, CA.
40. SILC. 2000. Satellite Information for Landcover of Canada (SILC); Beaubien, J; Blain, D; Chen, J M; Cihlar, J; Fernandes, R; Fraser, R; Latifovic, R; Peddle, D; Tarnocai, C; Trant, D; Wulder, M; Guindon, B; in, Workshop Report, Ottawa, Ontario, August 14-15, 2000.
41. Särndal, C.E., Swensson, B., and Wretman, J. 1992. Model-Assisted Survey Sampling. New York: Springer-Verlag.
42. Smith, J.H. 2008. North America land cover summit: Introduction. In J.C. Campbell, K.B. Jones, J.H. Smith, and M.T. Koeppe (Eds.), North America Land Cover Summit. Washington, DC: Associate of American Geographers.
43. Stahler. 1999. MODIS Land Cover Product Algorithm Theoretical Basis Document V5.0 MODIS Land Cover and Land-Cover Change.
44. Stehman, S.V. 2010. Documentation of Sampling Design and Analysis for Assessing the Accuracy of the NALCMS 2005 Land-cover Map. Working paper in the project: North American Land Change Monitoring System (NALCMS), pp. 9.
45. Timoney, K.P., Laroi, G.H., Zoltai, S.C., and Robinson, A.L. 1992. The high subarctic forest-tundra of northwestern Canada: Position, width, and vegetation gradients in relation to climate. Arctic, 45, 1-9.
46. Trishchenko, A.P., Luo, Y., and Khlopenkov, K.V. 2006. A method for downscaling MODIS land channels to 250m spatial resolution using adaptive regression and normalization, Proceedings of SPIE-The International Society for Optical Engineering v.6366 art. no. 636607. 8 pp.
47. Turner, P.D., Cohen, W.B., Kennedy, R.E., Fassnacht, K.S., and Briggs, J.M. 1999. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sensing of Environment, 70, 52-68.
48. Wulder, M.A., Dechka, J.A., Gillis, M.A., Luther, J.E., Hall, R.J., Beaudoin, A., and Franklin, S.E. 2003. Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program. Forestry Chronicle, 79(6), 1075-1083.
49. Xian, G., Homer, C., and Fry, J. 2009. Updating the 2001 National Land Cover Database landcover classification to 2006 by using Landsat imagery change detection methods. Remote Sensing of Environment, 113, 1133-1147.
50. Zhang, Q., Pavlic, G., Chen, W., Fraser, R., Leblanc, S., and Cihlar, J. 2004a. A semi-automatic segmentation procedure for feature extraction in remotely sensed imagery. Computers and Geosciences, 31, 289-296.
51. Zhang, Q., Pavlic, G., Chen, W., Latifovic, R., Fraser, R., and Cihlar, J. 2004b. Deriving stand age distribution in boreal forests using SPOT/VEGETATION and NOAA AVHRR imagery. Remote Sensing of Environment, 91, 405-418.
52. Zhao, H. and Fernandes., R. 2009. Daily snow cover estimation from advanced very high resolution radiometer polar pathfinder data over North Hemisphere land surface during 1983-2004. Journal of Geophysical Research, 114, D05113. doi:10.1029/2008.