A comprehensive change detection method for updating the National Land Cover Database to circa 2011

Remote Sensing of Environment

Volumn 132, Issue , 2013, Pages 159-175

  Jin, Suming ^a   Yang, Limin ^a   Danielson, Patrick ^a   Homer, Collin ^a   Fry, Joyce ^a   Xian, George ^a  

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

Author keywords

Change detection; National Land Cover Database 2011

Indexed keywords

ACCURACY ASSESSMENT; ANTHROPOGENIC DISTURBANCE; CHANGE ANALYSIS; CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; CHANGE MODELS; CRITICAL INFORMATION; ENVIRONMENTAL CHANGE; IMAGE DATES; LAND COVER; LAND-COVER CHANGE; LANDSAT IMAGES; MULTI-INDEX; POTENTIAL CHANGE; RESEARCH RESULTS; SPECTRAL INDICES; STUDY AREAS;

DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; SIGNAL DETECTION;

LANDFORMS;

ACCURACY ASSESSMENT; ALGORITHM; ANTHROPOGENIC EFFECT; DATABASE; DETECTION METHOD; DISTURBANCE; LAND COVER; LAND USE CHANGE; LANDSAT; NDVI; SATELLITE IMAGERY;

UNITED STATES;

EID: 84873701764     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.01.012     Document Type: Article

References (35)

1. Chander G., Huang C., Yang L., Homer C.G., Larson C. Developing consistent Landsat data sets for large area applications-The MRLC 2001 Protocol. IEEE Geoscience and Remote Sensing Letters 2009, 6:777-781.
2. Cohen W.B., Yang Z., Kennedy R.E. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. Remote Sensing of Environment 2010, 114:2911-2924.
3. Foley J.A., DeFries R., Asner G.P., Barford C., Bonan G., Carpenter S.R., et al. Global consequences of land use. Science 2005, 309:570-574.
4. Fry J., Xian G., Jin S., Dewitz J., Homer C., Yang L., et al. Completion of the 2006 National Land Cover Database for the Conterminous United States. Photogrammetric Engineering and Remote Sensing 2011, 77:858-864.
5. Gong J., Sui H., Ma G., Zhou Q. A review of multi-temporal remote sensing data change detection algorithms. Remote Sensing and Spatial Information Sciences, Beijing, China, 3-11 Jul 2008, 37(B7):757-762. J. Chen, J. Jiang, J. Van Genderen (Eds.).
6. Green K., Kempka D., Lackey L. Using remote sensing to detect and monitor land-cover and land-use change. Photogrammetric Engineering and Remote Sensing 1994, 60:331-337.
7. Hansen M., Roy D.P., Lindquist E., Justice C., Alstatt A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in Central Africa. Remote Sensing of Environment 2008, 112(5):2495-2513.
8. Healey S.P., Cohen W.B., Yang Z., Krankina O.N. Comparison of Tasseled-Cap-based Landsat data structures for use in forest disturbance detection. Remote Sensing of Environment 2005, 97:301-310.
9. Homer C., Dewitz J., Fry J., Coan M., Hossain N., Larson C., et al. Completion of the 2001 National Land Cover Database for the conterminous United States. Photogrammetric Engineering and Remote Sensing 2007, 73:337-341.
10. 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.
11. Huang C., Goward S.N., Masek J.G., Thomas N., Zhu Z., Vogelmann J.E. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment 2010, 114:183-198.
12. Huang C., Song K., Kim S., Townshend J., 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.
13. Jensen J.R., Rutchey K., Koch M.S., Narumalani S. Inland wetland change detection in the everglades water conservation area: Using a time series of normalized remotely sensed data. Photogrammetric Engineering and Remote Sensing 1995, 61:199-209.
14. Jin S., Sader S.A. Comparison of time-series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. Remote Sensing of Environment 2005, 94:364-372.
15. Kam T.S. Integrating GIS and remote sensing techniques for urban land-cover and land-use analysis. Geocarto International 1995, 10:39-49.
16. Kennedy R.E., Townsend P.A., Gross J.E., Cohen W.B., Bolstad P., Wang Y.Q., et al. Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sensing of Environment 2009, 113:1382-1396.
17. Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms. Remote Sensing of Environment 2010, 114:2897-2910.
18. Latifovic R., Pouliot D. Multitemporal land cover mapping for Canada: Methodology and products. Canadian Journal of Remote Sensing 2005, 31(5):347-363.
19. Loveland T.R., Sohl T.L., Stehman S.V., Gallant A.L., Sayler K.L., Napton D.E. A strategy for estimating the rates of recent United States land-cover changes. Photogrammetric Engineering and Remote Sensing 2002, 68:1091-1099.
20. Lu D., Mausel P., Brondizio E., Moran E. Change detection techniques. International Journal of Remote Sensing 2004, 25:2365-2407.
21. Lunetta R.S., Knight J.F., Ediriwickrema J., Lyon J.G., Worthy L.D. Land cover change detection using multi-temporal MODIS NDVI data. Remote Sensing of Environment 2006, 105:142-154.
22. Matthews H.D., Weaver A.J., Meissner K.J., Gillett N.P., Eby M. Natural and anthropogenic climate change: Incorporating historical land cover change, vegetation dynamics and the global carbon cycle. Climate Dynamics 2004, 22:461-479.
23. Pouliot D., Latifovic R., Fernandes R., Olthof I. Evaluation of annual forest disturbance monitoring using a static decision tree approach and 250m MODIS data. Remote Sensing of Environment 2009, 113:1749-1759.
24. Ridd M.K., Liu J. A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment 1998, 63:95-100.
25. Sader S.A., Winne J.C. RGB-NDVI color composites for visualizing forest change dynamics. International Journal of Remote Sensing 1992, 13:3055-3067.
26. Shafer G., Logan R. Implementing Dempster's rule of hierarchical evidence. Artificial Intelligence 1987, 33:271-298.
27. Singh A. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing 1989, 10:989-1003.
28. Sohl T. Change analysis in the United Arab Emirates: An investigation of techniques. Photogrammetric Engineering and Remote Sensing 1999, 65:475-484.
29. Srinivasan A., Richards J.A. Knowledge-based techniques for multi-source classification. International Journal of Remote Sensing 1990, 11:505-525.
30. Turner B.L., Lambin E., Reenberg A. The emergence of land change science for global environmental change and sustainability. Proceedings of the National Academy of Sciences of the United States of America 2007, 104:20666-20671.
31. Vogelmann J.E., Howard S.M., Yang L., Larson C.R., Wylie B.K., Van Driel J.N. Completion of the 1990s National Land Cover Data Set for the conterminous United States. Photogrammetric Engineering and Remote Sensing 2001, 67:650-662.
32. Xian G., Homer C. Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods. Remote Sensing of Environment 2009, 114:1676-1686.
33. Yang X., Lo C. Using satellite imagery to detect land use land cover changes in Atlanta, Georgia metropolitan area. International Journal of Remote Sensing 2002, 23:1775-1798.
34. Yang L., Xian G., Klaver J., Deal B. Urban land-cover change detection through sub-pixel impervious surface mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing 2003, 69:1003-1010.
35. Zhan X., DeFries R., Townshend J.R.G., DiMiceli C., Hansen M., Huang C., et al. The 250m global land cover change product from the Moderate Resolution Imaging Spectroradiometer of NASA's Earth Observing System. International Journal of Remote Sensing 2000, 21:1433-1460.