Assessment of the NASA-USGS Global Land Survey (GLS) datasets

Remote Sensing of Environment

Volumn 134, Issue , 2013, Pages 249-265

  Gutman, Garik ^a   Huang, Chengquan ^b   Chander, Gyanesh ^c   Noojipady, Praveen ^b   Masek, Jeffrey G ^d  

^a NASA HEADQUARTERS   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Global Land Surveys; Landsat; Quality assessment

Indexed keywords

ABSOLUTE CALIBRATION; ADVANCED LAND IMAGERS; ENHANCED THEMATIC MAPPERS; LAND SURVEYS; LANDSAT; QUALITY ASSESSMENT; RADIOMETRIC CALIBRATIONS; TEMPORAL CONSISTENCY;

CALIBRATION; FORESTRY; NASA; SURVEYS;

RADIOMETRY;

ASSESSMENT METHOD; CALIBRATION; LAND COVER; LAND USE CHANGE; LANDSAT; QUALITY CONTROL; RADIOMETER; SATELLITE DATA; SATELLITE IMAGERY;

EID: 84876345012     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.02.026     Document Type: Article

References (44)

1. Chander G., Helder D.L., Markham B.L., Dewald J.D., Kaita E., Thome K.J., et al. Landsat-5 TM reflective-band absolute radiometric calibration. IEEE Transactions on Geoscience and Remote Sensing 2004, 42:2747-2760.
2. Chander G., Markham B. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:2674-2677.
3. Chander G., Markham B.L., Helder D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 2009, 113:893-903.
4. Draeger W.C., Holm T.M., Lauer D.T., Thompson R.J. The availability of Landsat data: Past, present, and future. Photogrammetric Engineering and Remote Sensing 1997, 63:869-876.
5. Eva H.D., Achard F., Beuchle R., de Miranda E., Carboni S., Seliger R., et al. Forest cover changes in tropical South and Central America from 1990 to 2005 and related carbon emissions and removals. Remote Sensing 2012, 4:1369-1391.
6. Feng M., Huang C., Channan S., Vermote E.F., Masek J.G., Townshend J.R. Quality assessment of Landsat surface reflectance products using MODIS data. Computers & Geosciences 2012, 38:9-22.
7. Franks S., Masek J.G., Headley R.M.K., Gasch J., Arvidson T. Large Area Scene Selection Interface (LASSI): Methodology of selecting Landsat imagery for the Global Land Survey 2005. Photogrammetric Engineering and Remote Sensing 2009, 75:1287-1296.
8. Fuller R.M., Groom G.B., Jones A.R. The land cover map of Great Britain: An automated classification of Landsat Thematic Mapper data. Photogrammetric Engineering and Remote Sensing 1994, 60:553-562.
9. Giri C., Ochieng E., Tieszen L.L., Zhu Z., Singh A., Loveland T., et al. Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography 2011, 20:154-159.
10. Goward S., Irons J., Franks S., Arvidson T., Williams D., Faundeen J. Historical record of landsat global coverage: Mission operations, NSLRSDA, and International Cooperator stations. Photogrammetric Engineering and Remote Sensing 2006, 72:1155-1169.
11. Green K. Landsat in context: The land remote sensing business model. Photogrammetric Engineering and Remote Sensing 2006, 72:1147-1155.
12. Gutman G., Byrnes R., Masek J., Covington S., Justice C., Franks S., et al. Towards monitoring land-cover and land-use changes at a global scale: The Global Land Survey 2005. Photogrammetric Engineering and Remote Sensing 2008, 74:6-10.
13. Hansen M.C., Townshend J.R.G., Defries R.S., Carroll M. Estimation of tree cover using MODIS data at global, continental and regional/local scales. International Journal of Remote Sensing 2005, 26:4359-4380.
14. Helder D.L., Karki S., Bhatt R., Micijevic E., Aaron D., Jasinski B. Radiometric calibration of the Landsat MSS sensor series. Geoscience and Remote Sensing, IEEE Transactions on 2011, 50:2380-2399.
15. Helder D.L., Markham B.L., Thome K.J., Barsi J.A., Chander G., Malla R. Updated radiometric calibration for the Landsat-5 Thematic Mapper reflective bands. Geoscience and Remote Sensing, IEEE Transactions on 2008, 46:3309-3325.
16. Homer C., Huang C., Yang L., Wylie B., Coan M. Development of a 2001 national land cover database for the United States. Photogrammetric Engineering and Remote Sensing 2004, 70:829-840.
17. Huang C., Kim S., Altstatt A., Song K., Townshend J.R.G., Davis P., et al. Assessment of Paraguay's forest cover change using Landsat observations. Global and Planetary Change 2009, 67:1-12.
18. Huang C., Song K., Kim S., Townshend J.R.G., Davis P., Masek J., et al. Use of a dark object concept and support vector machines to automate forest cover change analysis. Remote Sensing of Environment 2008, 112:970-985.
19. Huang C., Thomas N., Goward S.N., Masek J., Zhu Z., Townshend J.R.G., et al. Automated masking of cloud and cloud shadow for forest change analysis. International Journal of Remote Sensing 2010, 31:5449-5464.
20. Kim D., Narashiman R., Sexton J., Huang C., Townshend J. Methodology to select phenologically suitable Landsat scenes for forest change detection. Proceedings Geoscience and Remote Sensing Symposium (IGARSS), 24-29 July 2011 2011, 2613-2616. IEEE International, Vancouver. 10.1109/IGARSS.2011.6049738.
21. Lindquist, E., D'Annunzio, R., Hansen, M., Bodart, C., Rasi, R., Achard, F., et al. (in press). Object-based land cover and land use classification for a global systematic sample of Landsat from 1990-2000-2005: The FAO methods for the FRA-2010 Remote Sensing Survey, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
22. Liu J., Liu M., Deng X. The land use and land cover change database and its relative studies in China. Journal of Geographical Sciences (Chinese) 2002, 12:275-282.
23. Loveland T.R., Dwyer J.L. Landsat: Building a strong future. Remote Sensing of Environment 2012, 122:22-29.
24. Lunetta R.S., Johnson D.M., Lyon J.G., Crotwell J. Impacts of imagery temporal frequency on land-cover change detection monitoring. Remote Sensing of Environment 2004, 89:444-454.
25. Markham B.L., Barker J.L. Radiometric properties of U.S. processed landsat MSS data. Remote Sensing of Environment 1987, 22:39-71.
26. Markham B.L., Helder D. Forty-year calibrated record of earth-reflected radiance from Landsat: A review. Remote Sensing of Environment 2012, 122:30-40.
27. Markham B.L., Thome K.J., Barsi J.A., Kaita E., Helder D.L., Barker J.L., et al. Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration. Geoscience and Remote Sensing, IEEE Transactions on 2004, 42:2810-2820.
28. Masek J.G., Huang C., Cohen W., Kutler J., Hall F., Wolfe R.E. Mapping North American forest disturbance from a decadal Landsat record: Methodology and initial results. Remote Sensing of Environment 2008, 112:2914-2926.
29. Olson D.M., Dinerstein E., Wikramanayake E.D., Burgess N.D., Powell G.V.N., Underwood E.C., et al. Terrestrial ecoregions of the world: A new map of life on Earth. BioScience 2001, 51:933-938.
30. Rengarajan, R., Sampath, A., Storey, J., & Choate M. (in press). Validation of Geometric Accuracy of GLS2000 data. Photogrammetric Engineering and Remote Sensing.
31. Roy D.P., Borak J.S., Devadiga S., Wolfe R.E., Zheng M., Descloitres J. The MODIS Land product quality assessment approach. Remote Sensing of Environment 2002, 83:62.
32. Roy D.P., Ju J.C., Kline K., Scaramuzza P.L., Kovalskyy V., Hansen M., et al. Web-enabled Landsat Data (WELD): Landsat ETM plus composited mosaics of the conterminous United States. Remote Sensing of Environment 2010, 114:35-49.
33. Skole D.L., Salas W.A., Taylor V. Global observation of forest cover: Fine resolution data and product design strategy, report of a workshop 1998, CNES, Paris, France.
34. Storey J.C., Scaramuzza P., Schmidt G. Landsat 7 scan line corrector-off gap filled product development. PECORA 16 Conference Proceedings, Sioux Falls, South Dakota 2005, 23-27.
35. Townshend J.R.G., Bell V., Desch A., Havlicek C., Justice C., Lawrence W.L., et al. The NASA Landsat Pathfinder Humid Tropical Deforestation Project. Land satellite information in the next decade, Conference Proceedings. ASPRS 1995, IV76-IV87.
36. Townshend J.R.G., Justice C.O., McManus J. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 1992, 30:1054-1060.
37. Townshend J.R., Justice C.O., Skole D.L., Belward A., Janetos A., Gunawan I., et al. Meeting the goals of GOFC. Land change science 2004, 31-51. Kluwer Academic Publishers, Dordrecht. G. Gutman, A.C. Janetos, C.O. Justice, E.F. Moran, J.F. Mustard, R.R. Rindfuss, D. Skole, B.L. Turner, M.A. Cochrane (Eds.).
38. Townshend J.R., Masek J.G., Huang C., Vermote E.F., Gao F., Channan S., et al. Global characterization and monitoring of forest cover using Landsat data: Opportunities and challenges. International Journal of Digital Earth 2012, 5:373-397.
39. Tucker C.J., Sellers P.J. Satellite remote sensing of primary production. International Journal of Remote Sensing 1986, 7:1395-1416.
40. Tucker C.J., Grant D.M., Dykstra J.D. NASA's global orthorectified landsat data set. Photogrammetric Engineering and Remote Sensing 2004, 70:313-322.
41. USGCRP A U.S. carbon cycle science plan 1999, U.S. Global Change Research Program, Washington, D.C.
42. Vogelmann J.E., Howard S.M., Yang L., Larson C.R., Wylie B.K., Van Driel N. Completion of the 1990s National Land Cover Data Set for the conterminous United States from Landsat Thematic Mapper data and ancillary data sources. Photogrammetric Engineering and Remote Sensing 2001, 67:650-662.
43. Wulder M.A., Hall R.J., Beaudoin A., Franklin S.E., Dechka J.A., Gillis M.A., et al. Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program. The Forestry Chronicle 2003, 79:1075-1083.
44. Wulder M.A., Masek J.G., Cohen W.B., Loveland T.R., Woodcock C.E. Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment 2012, 122:2-10.