Landsat-comparable land cover maps using ASTER and SPOT images: A case study for large-area mapping programmes

International Journal of Remote Sensing

Volumn 32, Issue 8, 2011, Pages 2185-2205

  Franklin, Steven E ^a   He, Yuhong ^b   Pape, Alysha ^c   Guo, Xulin ^c   McDermid, Gregory J ^d  

^a TRENT UNIVERSITY   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF SASKATCHEWAN   (Canada)

^d UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

REMOTE SENSING; SENSORS;

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; CLASSIFICATION ACCURACY; DATA AVAILABILITY; HABITAT MAPPING; LANDSAT IMAGERY; LONG TERM RECORDS; OPERATIONAL ENVIRONMENTS; OVERALL ACCURACIES;

MAPPING;

ASTER; LAND COVER; LANDSAT; MAP; MAPPING; SATELLITE DATA; SPOT;

URSUS ARCTOS;

EID: 79957510924     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161003674642     Document Type: Article

References (34)

1. ANTROP, M. and VAN EETVELDE, V., 2000, Holistic aspects of suburban landscapes: visual image interpretation and landscape metrics. Landscape and Urban Planning, 50, pp. 43-58.
2. ARVIDSON, T., GOWARD, S.N., GASCH, J. and WILLIAMS, D.L., 2006, Landsat 7 long-term acquisition plan: development and validation. Photogrammetric Engineering and Remote Sensing, 70, pp. 1137-1146.
3. BEHRENS, C.E., 2010, Landsat and the Data Continuity Mission. Congressional Research Service Reports on Miscellaneous Topics. Available online at: http://www.fas.org/sgp/crs/misc/R40594.pdf (accessed 7 June 2010).
4. BELLUCO, E., CAMUFFO, M., FERRARI, S., MODENESE, L., SILVESTRI, S., MARANI, A. and MARANI, M., 2006, Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment, 105, pp. 54-67.
5. CAPOLSINI, P., ANDEFOUET, S., RION, C. and PAYRI, C., 2003, A comparison of Landsat ETM+, SPOT HRV, Ikonos, ASTER, and airborne MASTER data for coral reef habitat mapping in South Pacific islands. Canadian Journal of Remote Sensing, 29, pp. 187-200.
6. CLINTON, N., HOLT, A., YAN, L. and GONG, P., 2008, An accuracy assessment measure for object based image segmentation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, pp. 1189-1194.
7. COHEN, W.B., SPIES, T.A. and FIORELLA, M., 1995, Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. International Journal of Remote Sensing, 16, pp. 721-746.
8. DARWISH, A., LEUKERT, K. and REINHARDT, W., 2003, Image segmentation for the purpose of object-based classification. In IEEE International Proceedings of Geoscience and Remote Sensing Symposium, 2003. 21-25 July 2003, Vol.3, pp. 2039-2041. Available online at: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1294332&isnumber=28603.
9. DESCLÉE, B., BOGAERT, P. and DEFOURNEY, P., 2006, Forest change detection by statistical object-based method. Remote Sensing of Environment, 102, pp. 1-11.
10. FOODY, G.M., 2002, Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80, pp. 185-201.
11. GOWARD, S.N., ARVIDSON, T.J., WILLIAMS, D.L., FAUNDEEN, J., IRONS, J. and FRANKS, S., 2006, Historical record of Landsat global coverage: mission operations, NSLRSDA, and international cooperator stations. Photogrammetric Engineering and Remote Sensing, 70, pp. 1155-1170.
12. HUSCH, B., BEERS, T.W. and KERSHAW, Jr. J.A., 2003, Forest Mensuration (Hoboken: John Wiley and Sons).
13. HUTCHINSON, M.F., 1989, A new method for gridding elevation and stream line data with automatic removal of pits. Journal of Hydrology, 106, pp. 211-232.
14. JOSHI, P.K., GUPTA, B. and ROY, P.S., 2008, Spectral evaluation of vegetation features using multi-satellite sensor system (Terra ASTER, Landsat ETM+ and IRS 1D LISS III) in man-made and natural landscape. Sensor Review, 28, pp. 52-61.
15. KAUTH, R.J. and THOMAS, G.S., 1976, The Tasseled Cap - a graphical description of the spectral-temporal development of agricultural crops as seen by Landsat. In Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, IN, pp. 4B41-4B51. Available online at: http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1160&context=lars_symp.
16. KERAMITSOGLOUA, I., KONTOES C., SYKIOTI, O., SIFAKIS, N. and XOFIS, P., 2008, Reliable, accurate and timely forest mapping for wildfire management using ASTER and Hyperion satellite imagery. Forest Ecology and Management, 255, pp. 3556-3562.
17. LINKE, J., FRANKLIN, S.E., HUETTMANN, F. and STENHOUSE, G.B., 2005, Seismic cutlines, changing landscape metrics and grizzly bear landscape use in Alberta. Landscape Ecology, 20, pp. 811-826.
18. LOBELL, D.B. and ASNER, G.P., 2003, Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 1277-1282.
19. MCDERMID, G.J., FRANKLIN, S.E. and LEDREW, E.F., 2005, Remote sensing for large-area habitat mapping. Progress in Physical Geography, 29, pp. 449-474.
20. MEINEL, G. and NEUBERT, M., 2004, A comparison of segmentation programs for high resolution remote sensing data. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 35, pp. 1097-1102.
21. MICHENER, W.K. and HOUHOULIS, P.F., 1997, Detection of vegetation changes associated with extensive flooding in a forested ecosystem, Photogrammetric Engineering and Remote Sensing, 63, pp. 1363-1374.
22. MINISTRY FOR THE ENVIRONMENT, 2005, The New Zealand Land Cover Database. Available online at: http://www.mfe.govt.nz/issues/land/land-cover-dbase/ (accessed December 2008).
23. MUCHONEY, D.M. and HAACK, B.N., 1994, Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing, 60, pp. 1243-1251.
24. NEUBERT, M. and MEINEL, G., 2003, Evaluation of segmentation programs for high resolution remote sensing applications. In Proceedings of the Joint ISPRS/EARSeL Workshop on High Resolution Mapping from Space 2003, M. Schroeder, K. Jacobsen and C. Heipke (Eds), CD-ROM.
25. NIELSEN, S.E., BOYCE, M.S. and STENHOUSE, G.B., 2004, Grizzly bears and forestry. I. election of clearcuts by grizzly bears in west-central Alberta, Canada. Forest Ecology and Management, 199, pp. 51-65.
26. PAPE, A.D. and FRANKLIN, S.E., 2008, MODIS-based change detection for grizzly bear habitat mapping in Alberta. Photogrammetric Engineering and Remote Sensing, 74, pp. 973-986.
27. PU, R. and GONG, P., 2004, Wavelet transform applied to EO-1 Hyperion data for forest LAI and crown closure mapping. Remote Sensing of Environment, 91, pp. 212-224.
28. RICHTER, R., 1990, A fast atmospheric correction applied to Landsat TM images. International Journal of Remote Sensing, 10, pp. 1429-1435.
29. SONG, C., WOODCOCK, C.E., SETO, K.C., LENNEY, M.P. and MACOMBER, S.A., 2001, Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? Remote Sensing of Environment, 75, pp. 230-244.
30. STENHOUSE, G. and GRAHAM, K., 2005, Foothills Model Forest Grizzly Bear Research Program 1999-2003 Final Report (Hinton, AB: Foothills Model Forest).
31. TOUTIN, T., 1995, Multi-source data fusion with an integrated and unified geometric modelling. EARSel Advances in Remote Sensing, 4, pp. 118-129.
32. TUCKER, C.J., GRANT, D.M. and DYKSTRA, J.D., 2004, NASA's global orthorectified Landsat data set. Photogrammetric Engineering and Remote Sensing, 70, pp. 313-322.
33. 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. The Forestry Chronicle, 79, pp. 1075-1083.
34. WULDER, M.A., WHITE, J.C., GOWARD, S.N., MASKEK, J.G., IRONS, J.R., HEROLD, M., COHEN, W.B., LOVELAND, T.R. and WOODCOCK C.E., 2008, Landsat continuity: issues and opportunities related to Landsat continuity. Remote Sensing of Environment, 112, pp. 955-969.