Quantifying uncertainty and confusion in land change analyses: A case study from central Mexico using MODIS data

GIScience and Remote Sensing

Volumn 52, Issue 5, 2015, Pages 543-570

  Christman, Zachary ^a,c   Rogan, John ^a   Eastman, J Ronald ^a   Turner, B L ^b  

^a CLARK UNIVERSITY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c ROWAN UNIVERSITY   (United States)

Author keywords

land change; land cover classification; Mexico; MODIS; uncertainty

Indexed keywords

AGRICULTURAL DEVELOPMENT; ALGORITHM; LAND CLASSIFICATION; LAND COVER; LANDSCAPE CHANGE; MODIS; UNCERTAINTY ANALYSIS; URBANIZATION;

MEXICO [NORTH AMERICA];

EID: 84938196747     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2015.1067859     Document Type: Article

References (91)

1. Agarwal, C., G. M. Green, J. M. Grove, T. P. Evans, and, C. M. Schweik. 2002. A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice. Newton Square, PA: US Department of Agriculture, Forest Service, Northeastern Research Station. http://www.treesearch.fs.fed.us/pubs/5027
2. Aguirre Jimenez, A. A., and, F. M. Martinez. 2007. " Analisis de La Aplicacion de La Politica Hidraulica En Mexico En El Periodo 2001-2006. Caso Region Lerma-Santiago-Pacifico." V. Congreso Europeo Ceisal de Latinoamericanistas. Bruselas 2007, Brussels, April 11-14.
3. Alvarez, R., R. Bonifaz, R. S. Lunetta, C. Garciá, G. Gómez, R. Castro, A. Bernal, and, A. L. Cabrera. 2003. " Multitemporal Land-Cover Classification of Mexico Using Landsat MSS Imagery." International Journal of Remote Sensing 24 (12) (January): 2501-2514. doi: 10.1080/01431160210153066.
4. Appendini, K., and, D. Liverman. 1994. " Agricultural Policy, Climate Change and Food Security in Mexico." Food Policy 19 (2): 149-164. doi: 10.1016/0306-9192(94)90067-1.
5. Borak, J. S., E. F. Lambin, and, A. H. Strahler. 2000. " The Use of Temporal Metrics for Land Cover Change Detection at Coarse Spatial Scales." International Journal of Remote Sensing 21 (6-7): 1415-1432. doi: 10.1080/014311600210245.
6. Bradley, B. A., and, J. Mustard. 2005. " Identifying Land Cover Variability Distinct from Land Cover Change: Cheatgrass in the Great Basin." Remote Sensing of Environment 94 (2) (January): 204-213. doi: 10.1016/j.rse.2004.08.016.
7. Brower, L. P., G. Castilleja, A. Peralta, J. Lopez-Garcia, L. Bojorquez-Tapia, S. Diaz, D. Melgarejo, and, M. Missrie. 2002. " Quantitative Changes in Forest Quality in a Principal Overwintering Area of the Monarch Butterfly in Mexico, 1971-1999." Conservation Biology 16 (2): 346-359. doi: 10.1046/j.1523-1739.2002.00572.x.
8. Brown, K. M. M., G. M. M. Foody, and, P. M. Atkinson. 2009. " Estimating per-Pixel Thematic Uncertainty in Remote Sensing Classifications." International Journal of Remote Sensing 30 (1) (January): 209-229. doi: 10.1080/01431160802290568.
9. Byrne, G. F., P. F. Crapper, and, K. K. Mayo. 1980. " Monitoring Land-Cover Change by Principal Component Analysis of Multitemporal Landsat Data." Remote Sensing of Environment 10 (3): 175-184. doi: 10.1016/0034-4257(80)90021-8.
10. Chrisman, N. R. R. 1991. " The Error Component in Spatial Data. " In Geographical Information Systems. Principles and Applications. Volume 1: Principles,. edited by D. J. Maguire, M. F. Goodchild and D. W. Rhind., 165-174. Harlow: Longman Scientific and Technical. http://gis.depaul.edu/shwang/teaching/geog458/Cr1991.pdf
11. Cihlar, J. 2000. " Land Cover Mapping of Large Areas from Satellites: Status and Research Priorities." International Journal of Remote Sensing 21 (6-7) (April): 1093-1114. doi: 10.1080/014311600210092.
12. Congalton, R. 1991. " A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data." Remote Sensing of Environment 37 (1) (July): 35-46. doi: 10.1016/0034-4257(91)90048-B.
13. Congalton, R. G., and, K. Green. 2009. Assessing the Accuracy of Remotely Sensed Data. 2nd ed. Boca Raton, FL: CRC Press.
14. Congalton, R. G., R. G. Oderwald, and, R. A. Mead. 1983. " Assessing Landsat Classification Accuracy Using Discrete Multivariate Statistical Techniques." Photogrammatic Engineering and Remote Sensing 49 (12): 1671-1678.
15. Cotler, H., M. Mazari Hiriart, and, J. de Anda Sanchez. 2006. Atlas de La Cuenca Lerma-Chapala. Mexico City: Instituo Nacional de Ecologia.
16. Dalton, R. 2005. " Alcohol and Science: Saving the Agave." Nature 438 (7071): 1070-1071. doi: 10.1038/4381070a.
17. De Anda, J., S. E. Quinones-Cisneros, R. H. French, and, M. Guzmán. 1998. " Hydrologic Balance of Lake Chapala (Mexico)." Journal of the American Water Resources Association 34 (6) (December): 1319-1331. doi: 10.1111/j.1752-1688.1998.tb05434.x.
18. De Vries, C., T. Danaher, R. Denham, P. Scarth, and, S. Phinn. 2007. " An Operational Radiometric Calibration Procedure for the Landsat Sensors Based on Pseudo-Invariant Target Sites." Remote Sensing of Environment 107 (3) (April): 414-429. doi: 10.1016/j.rse.2006.09.019.
19. Eastman, J. R. 1991. " Change and Time Series Analysis Techniques: A Review." Change and Time Series Analysis in GIS, edited by J. R. Eastman, and J. McKendry. Geneva: UNITAR.
20. Eastman, J. R. 2009. IDRISI Geographic Information Systems Software. Worcester, MA: Clark Labs.
21. Eastman, J. R. R., and, M. Fulk. 1993. " Long Sequence Time Series Evaluation Using Standardized Principal Components." Photogrammetric Engineering and Remote Sensing 59 (6): 991-996.
22. Eklundh, L., and, A. Singh. 1993. " A Comparative Analysis of Standardised and Unstandardised Principal Components Analysis in Remote Sensing." International Journal of Remote Sensing 14 (7): 1359-1370. doi: 10.1080/01431169308953962.
23. Escamilla, M. 1995. " Social Participation in the Lerma-Santiago Basin: Water and Social Life Project." International Journal of Water Resources Development 11 (4) (December): 457-466. doi: 10.1080/07900629550042137.
24. Estoque, R. C., and, Y. Murayama. 2014. " A Geospatial Approach for Detecting and Characterizing Non-Stationarity of Land-Change Patterns and Its Potential Effect on Modeling Accuracy." GIScience & Remote Sensing 51: 239-252. doi: 10.1080/15481603.2014.908582.
25. Fisher, P. F. 1999. " Models of Uncertainty in Spatial Data." In Geographical Information Systems: Principles, Techniques, Management and Applications, edited by P. Longley, M. Goodchild, D. Maguire, and D. Rhind, vol. 1, 191-205. New York: John Wiley & Sons. http://www.Colorado.edu/geography/leyk/GIS1/Readings/fisher-1999.pdf
26. Foody, G. M. 2004. " Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy." Photogrammetric Engineering & Remote Sensing 70 (5): 627-633. doi: 10.14358/PERS.70.5.627.
27. Foody, G. M. 2008. " Harshness in Image Classification Accuracy Assessment." International Journal of Remote Sensing 29 (11) (June): 3137-3158. doi: 10.1080/01431160701442120.
28. Foody, G. M. 2009a. " Sample Size Determination for Image Classification Accuracy Assessment and Comparison." International Journal of Remote Sensing 30 (20): 5273-5291. doi: 10.1080/01431160903130937.
29. Foody, G. M. 2009b. " Classification Accuracy Comparison: Hypothesis Tests and the Use of Confidence Intervals in Evaluations of Difference, Equivalence and Non-Inferiority." Remote Sensing of Environment 113 (8): 1658-1663. doi: 10.1016/j.rse.2009.03.014.
30. Foody, G. M., N. A. Campbell, N. M. Trodd., and, T. F. Wood. 1992. " Derivation and Application of Probabilistic Measures of Class Membership from the Maximum Likelihood Classification." Photogrammetric Engineering and Remote Sensing 58 (9): 1335-1341.
31. Fortier, J., J. Rogan, C. E. Woodcock, and, D. M. Runfola. 2011. " Utilizing Temporally Invariant Calibration Sites to Classify Multiple Dates and Types of Satellite Imagery." Photogrammetric Engineering & Remote Sensing 77 (2): 181-189. doi: 10.14358/PERS.77.2.181.
32. Frey, K. E., and, L. C. Smith. 2007. " How Well Do We Know Northern Land Cover? Comparison of Four Global Vegetation and Wetland Products with a New Ground-Truth Database for West Siberia." Global Biogeochemical Cycles 21 (1). doi: 10.1029/2006gb002706.
33. Friedl, M. A., A. Strahler, X. Zhang, and, J. Hodges. 2002. " The MODIS Land Cover Product: Multi-Attribute Mapping of Global Vegetation and Land Cover Properties from Time Series MODIS Data." Geoscience and Remote 6: 3199-3201.
34. Fritz, S., and, L. See. 2008. " Identifying and Quantifying Uncertainty and Spatial Disagreement in the Comparison of Global Land Cover for Different Applications." Global Change Biology 14 (5) (May): 1057-1075. doi: 10.1111/j.1365-2486.2007.01519.x.
35. Goodchild, M. F., L. Chih-Chang, and, Y. Leung. 1994. " Visualizing Fuzzy Maps." In Visualization in GIS, edited by H. M. Hearnshaw and D. J. Unwin., 158-167. New York: Wiley.
36. Goodchild, M. F., and, S. Gopal. 1989. The Accuracy of Spatial Databases. London: Taylor & Francis. http://www.worldcat.org/title/accuracy-of-spatial-databases/oclc/252954557
37. Gopal, S., and, C. Woodcock. 1994. " Theory and Methods for Accuracy Assessment of Thematic Maps Using Fuzzy Sets." Photogrammetric Engineering and Remote Sensing 60 (2): 181-188.
38. Gustafson, E. J., and, G. R. Parker. 1992. " Relationships between Landcover Proportion and Indices of Landscape Spatial Pattern." Landscape Ecology 7 (2): 101-110. doi: 10.1007/BF02418941.
39. Gutman, G., R. Byrnes, J. Masek, S. Covington, C. Justice, S. Franks, and, R. Headley. 2008. " Towards Monitoring Land-Cover and Land-Use Changes at a Global Scale: The Globla Land Survey 2005." Photogrammatic Engineering and Remote Sensing 74 (1): 6-10.
40. Hansen, M. C., 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) (April): 1331-1364. doi: 10.1080/014311600210209.
41. Herold, M., P. Mayaux, C. E. Woodcock, A. Baccini, and, C. Schmullius. 2008. " Some Challenges in Global Land Cover Mapping: An Assessment of Agreement and Accuracy in Existing 1 Km Datasets." Remote Sensing of Environment 112 (5): 2538-2556. doi: 10.1016/j.rse.2007.11.013.
42. Herold, M., C. E. Woodcock, A. Gregorio, P. Mayaux, A. S. Belward, J. Latham, and, C. C. Schmullius. 2006. " A Joint Initiative for Harmonization and Validation of Land Cover Datasets." IEEE Transactions on Geoscience and Remote Sensing 44 (7): 1719-1727. doi: 10.1109/TGRS.2006.871219.
43. Iiames, J. S., R. G. Conglaton, and, R. S. Lunetta. 2013. " Analyst Variation Associated with Land Cover Image Classification of Landsat ETM + Data for the Assessment of Coarse Spatial Resolution Regional/Global Land Cover Products." GIScience and Remote Sensing 50: 604-622.
44. INE. 2003. " Direccion de Manejo Integral de Cuencas Hidricas: Diagnostico Bio-Fisico Y Socio-Economico de La Cuenca Lerma-Chapala." Edited by Instituto Nacional de Ecologia. www.agua.org.mx/
45. INEGI. 2005. " Conteo 2005 (Institutio Nacional De Estadistica Y Geografia)." 2010. Accessed February 21, 2010. http://www.inegi.org.mx/
46. Ingebritsen, S. E., and, R. J. P. Lyon. 1985. " Principal Components Analysis of Multitemporal Image Pairs." International Journal of Remote Sensing 6 (5) (May): 687-696. doi: 10.1080/01431168508948491.
47. Jansen, L. J. M., G. Carrai, L. Morandini, P. O. Cerutti, and, A. Spisni. 2006. " Analysis of the Spatio-Temporal and Semantic Aspects of Land-Cover/Use Change Dynamics 1991-2001 in Albania at National and District Levels." Environmental Monitoring and Assessment 119 (1-3): 107-136. doi: 10.1007/s10661-005-9013-8.
48. Justice, C. O., J. R. G. Townshend, B. N. Holben, and, C. J. Tucker. 1985. " Analysis of the Phenology of Global Vegetation Using Meteorological Satellite Data." International Journal of Remote Sensing 6 (8): 1271-1318. doi: 10.1080/01431168508948281.
49. Justice, C. O., J. R. G. Townshend, E. F. Vermote, E. Masuoka, R. E. Wolfe, N. Saleous, D. P. Roy, and, J. T. Morisette. 2002. " An Overview of MODIS Land Data Processing and Product Status." Remote Sensing of Environment 83 (1-2): 3-15. doi: 10.1016/S0034-4257(02)00084-6.
50. Klooster, D. 2003. " Forest Transitions in Mexico: Institutions and Forests in a Globalized Countryside." Professional Geographer 55 (2): 227-237.
51. Knight, J. F. 2002. Accuracy Assessment of Thematic Maps Using Inter-Class Spectral Distances. Raleigh, NC: North Carolina State University. http://adsabs.harvard.edu/abs/2002PhDT.175K
52. Krishnaswamy, J., K. S. Bawa, K. N. Ganeshaiah, and, M. C. Kiran. 2009. " Quantifying and Mapping Biodiversity and Ecosystem Services: Utility of a Multi-Season NDVI Based Mahalanobis Distance Surrogate." Remote Sensing of Environment 113 (4): 857-867. doi: 10.1016/j.rse.2008.12.011.
53. Lambin, E. F. II, B. L. Turner, H. Geist, S. Agbola, A. Angelsen, J. W. Bruce, O. Coomes., et al. 2001. " The Causes of Land-Use and Land-Cover Change: Moving Beyond the Myths." Global Environmental Change: Human and Policy Dimensions 11: 261-269. doi: 10.1016/S0959-3780(01)00007-3.
54. Leyk, S., R. Boesch, and, R. Weibel. 2005. " A Conceptual Framework for Uncertainty Investigation in Map-Based Land Cover Change Modelling." Transactions in GIS 9 (3): 291-322. doi: 10.1111/tgis.2005.9.issue-3.
55. López, E., G. Bocco, M. Mendoza, and, E. Duhau. 2001. " Predicting Land-Cover and Land-Use Change in the Urban Fringe: A Case in Morelia City, Mexico." Landscape and Urban Planning 55 (4) (August): 271-285. doi: 10.1016/S0169-2046(01)00160-8.
56. Loveland, T. R. R., B. C. C. Reed, J. F. 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) (April): 1303-1330. doi: 10.1080/014311600210191.
57. Loveland, T. R. R., Z. Zhiliang, D. O. Ohlen, Z. L. Zhu, J. F. Brown, B. C. Reed, and, L. M. Yang. 1999. " An Analysis of the IGBP Global Land-Cover Characterization Process." Photogrammetric Engineering a nd Remote Sensing 65 (September): 1021-1032.
58. Lunetta, R. S., R. Alvarez, C. M. Edmonds, J. G. Lyon, C. D. Elvidge, R. Bonifaz, and, C. Garcia. 2002. " NALC/Mexico Land-Cover Mapping Results: Implications for Assessing Landscape Condition." International Journal of Remote Sensing 23 (16) (August): 3129-3148. doi: 10.1080/01431160110071888.
59. Mas, J.-F., A. Velázquez, J. Diáz-Gallegos, R. Mayorgasaucedo, C. Alcántara, G. Bocco, R. Castro, T. Fernández, and, A. Pérez-Vega. 2004. " Assessing Land Use/cover Changes: A Nationwide Multidate Spatial Database for Mexico." International Journal of Applied Earth Observation and Geoinformation 5 (4) (October): 249-261. doi: 10.1016/j.jag.2004.06.002.
60. Mas, J. F., A. Velazquez, J. L. Palacio-Prieto, G. Bocco, A. Peralta, J. Prado, and, A. Velázquez. 2002. " Assessing Forest Resources in Mexico-Wall-to-Wall Land Use/cover Mapping." PE & RS 68 (10). http://www.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=A0247163AH
61. McIver, D. K., and, M. A. Friedl. 2002. " Estimating Pixel-Scale Land Cover Classification Confidence Using Nonparametric Machine Learning Methods." IEEE Transactions on Geoscience and Remote Sensing 39 (9): 1959-1968. doi: 10.1109/36.951086.
62. Pontius, R. G., and, M. L. Cheuk. 2006. " A Generalized Cross-tabulation Matrix to Compare Soft-classified Maps at Multiple Resolutions." International Journal of Geographical Information Science 20 (1) (January): 1-30. doi: 10.1080/13658810500391024.
63. Pontius, R. G. Jr. 2000. " Quantification Error Versus Location Error in Comparison of Categorical Maps." Photogrammetric Engineering and Remote Sensing 66 (8): 1011-1016.
64. Powell, R. L., N. Matzke, C. De Souza, M. Clark, I. Numata, L. L. Hess, and, D. A. Roberts. 2004. " Sources of Error in Accuracy Assessment of Thematic Land-Cover Maps in the Brazilian Amazon." Remote Sensing of Environment 90 (2): 221-234. doi: 10.1016/j.rse.2003.12.007.
65. Richards, J. A. 1984. " Thematic Mapping from Multitemporal Image Data Using the Principal Components Transformation." Remote Sensing of Environment 16 (1): 35-46. doi: 10.1016/0034-4257(84)90025-7.
66. Rogan, J., and, J. Miller. 2006. " Integrating GIS and Remotely Sensed Data for Mapping Forest Disturbance and Change." In Understanding Forest Disturbance and Spatial Pattern: Remote Sensing and GIS Approaches, edited by M. A. Wulder and S. E. Franklin. Boca Raton, FL: CRC Press.
67. Sabol, D. E., J. B. Adams, and, M. O. Smith. 1992. " Quantitative Subpixel Spectral Detection of Targets in Multispectral Images." Journal of Geophysical Research-Planets 97 (E2): 2659-2672.
68. Sanderson, S. E. 1986. The Transformation of Mexican Agriculture: International Structure and the Politics of Rural Change. Princeton, NJ: Princeton University.
69. Sangermano, F. 2009. " Inferential Monitoring of Global Change Impact on Biodiversity through Remote Sensing and Species Distribution Modeling " (May). http://adsabs.harvard.edu/abs/2009PhDT.90S
70. Saura, S. 2002. " Effects of Minimum Mapping Unit on Land Cover Data Spatial Configuration and Composition." International Journal of Remote Sensing 23 (22) (November): 4853-4880. doi: 10.1080/01431160110114493.
71. Schaaf, C. B., F. Gao, A. H. Strahler, W. Lucht, X. W. Li, T. Tsang, N. C. Strugnell., et al. 2002. " First Operational BRDF, Albedo Nadir Reflectance Products from MODIS." Remote Sensing of Environment 83 (1-2): 135-148. doi: 10.1016/S0034-4257(02)00091-3.
72. Schmook, B., R. Dickson, F. Sangermano, J. M. Vadjunec, J. R. Eastman, and, J. Rogan. 2011. " A Step-Wise Land-Cover Classification of the Tropical Forests of the Southern Yucatán, Mexico." International Journal of Remote Sensing 32 (4): 1139-1164. doi: 10.1080/01431160903527413.
73. Song, C., C. E. E. Woodcock, K. C. Seto, M. P. P. Lenney, and, S. A. Macomber. 2001. " Classification and Change Detection Using Landsat TM Data-When and How to Correct Atmospheric Effects? " Remote Sensing of Environment 75 (2): 230-244. doi: 10.1016/S0034-4257(00)00169-3.
74. Strahler, A. H., C. E. Woodcock, and, J. A. Smith. 1986. " On the Nature of Models in Remote Sensing." Remote Sensing of Environment 20: 121-139. doi: 10.1016/0034-4257(86)90018-0.
75. Styles, B. T. 1993. " Genus Pinus: A Mexican Purview." In Biological Diversity of Mexico: Origins and Distribution, edited by T. P. Ramamoorthy, R. Bye, A. Lot, and J. Fa., 397-420. Oxford: Oxford University Press.
76. Tan, B., C. E. Woodcock, J. Hu, P. Zhang, M. Ozdogan, D. Huang, W. Yang, Y. Knyazikhin, and, R. B. Myneni. 2006. " The Impact of Gridding Artifacts on the Local Spatial Properties of MODIS Data: Implications for Validation, Compositing, and Band-to-Band Registration across resolutions. (Report)." Remote Sensing of Environment 105 (2): 98-114. doi: 10.1016/j.rse.2006.06.008.
77. Torres-Vera, M. A., R. M. Prol-Ledesma, and, D. Garcia-Lopez. 2009. " Three Decades of Land Use Variations in Mexico City." International Journal of Remote Sensing 30 (1) (January): 117-138. doi: 10.1080/01431160802261163.
78. Townshend, J. R. G., C. Huang, S. N. V. Kalluri, R. S. Defries, S. Liang, and, K. Yang. 2000. " Beware of per-Pixel Characterization of Land Cover." International Journal of Remote Sensing 21 (4): 839-843. doi: 10.1080/014311600210641.
79. Townshend, J. R. G., C. Justice, W. Li, C. Gurney, and, J. McManus. 1991. " Global Land Cover Classification by Remote Sensing: Present Capabilities and Future Possibilities." Remote Sensing of Environment 35 (2-3): 243-255. doi: 10.1016/0034-4257(91)90016-Y.
80. Treitz, P., and, J. Rogan. 2004. " Remote Sensing for Mapping and Monitoring Land-Cover and Land-Use Change-an Introduction." Progress in Planning 61 (4): 269-279. doi: 10.1016/S0305-9006(03)00064-3.
81. Turner, M. G. 1989. " Landscape Ecology: The Effect of Pattern on Process." Annual Review of Ecology and Systematics 20 (1) (November): 171-197. doi: 10.1146/annurev.es.20.110189.001131.
82. Van Der Wel, F. J. M., L. C. Van Der Gaag, and, B. G. H. Gorte. 1998. " Visual Exploration of Uncertainty in Remote-Sensing Classification." Computers & Geosciences 24 (4): 335-343. doi: 10.1016/S0098-3004(97)00120-9.
83. Velázquez, A., E. Durán, I. Ramrez, J.-F. Mas, G. Bocco, G. Ramrez, and, J. L. Palacio. 2003. " Land Use-Cover Change Processes in Highly Biodiverse Areas: The Case of Oaxaca, Mexico." Global Environmental Change-Human and Policy Dimensions 13 (3): 175-184. doi: 10.1016/S0959-3780(03)00035-9.
84. Verbyla, D. L., and, S. H. Boles. 2000. " Bias in Land Cover Change Estimates due to Misregistration." International Journal of Remote Sensing 21 (18): 3553-3560. doi: 10.1080/014311600750037570.
85. Wessels, K. J., R. S. De Fries, J. Dempewolf, L. O. Anderson, A. J. Hansen, S. L. Powell, and, E. F. Moran. 2004. " Mapping Regional Land Cover with MODIS Data for Biological Conservation: Examples from the Greater Yellowstone Ecosystem, USA and Pará State, Brazil." Remote Sensing of Environment 92: 67-83. doi: 10.1016/j.rse.2004.05.002.
86. West, R. C., and J. P. Augelli. 1976. " Physical Patterns of Middle America." In Middle America, Its Lands and Peoples, 22-57. Englewood Cliffs, NJ: Prentice Hall.
87. Wolfe, R. E., M. Nishihama, A. J. Fleig, J. A. Kuyper, D. P. Roy, J. C. Storey, and, F. S. Patt. 2002. " Achieving Sub-Pixel Geolocation Accuracy in Support of MODIS Land Science." Remote Sensing of Environment 83 (1-2): 31-49. doi: 10.1016/S0034-4257(02)00085-8.
88. Woodcock, C. E., and, A. H. Strahler. 1987. " The Factor of Scale in Remote Sensing." Remote Sensing of Environment 21 (3): 311-332. doi: 10.1016/0034-4257(87)90015-0.
89. Wulder, M. A., J. C. White, S. N. Goward, J. G. Masek, J. R. Irons, M. Herold, W. B. Cohen, T. R. Loveland, and, C. E. Woodcock. 2008. " Landsat Continuity: Issues and Opportunities for Land Cover Monitoring." Remote Sensing of Environment 112 (3): 955-969. doi: 10.1016/j.rse.2007.07.004.
90. Young, S. S., and, R. Harris. 2005. " Changing Patterns of Global-Scale Vegetation Photosynthesis, 1982-1999." International Journal of Remote Sensing 26 (20): 4537-4563. doi: 10.1080/01431160500239198.
91. Zhang, X., M. A. Friedl, C. B. Schaaf, A. H. Strahler, J. C. F. Hodges, F. Gao, B. C. Reed, and, A. Huete. 2003. " Monitoring Vegetation Phenology Using MODIS." Remote Sensing of Environment 84 (3): 471-475. doi: 10.1016/S0034-4257(02)00135-9.