Comparison of DEMS derived from USGS DLG, SRTM, a statewide photogrammetry program, ASTER GDEM and LiDAR: implications for change detection

References

• Abrams, M., B. Bailey, H. Tsu, and M. Hato. 2010. “The ASTER Global DEM.” Photogrammetric Engineering and Remote Sensing 76 (4): 344–348.
   Web of Science ®Google Scholar
• Aguilar, F. J., F. Agüera, M. A. Aguilar, and F. Carvajal. 2005. “Effects of Terrain Morphology, Sampling Density, and Interpolation Methods on Grid DEM Accuracy.” Photogrammetric Engineering & Remote Sensing 71 (7): 805–816.
   Web of Science ®Google Scholar
• ASTER GDEM Validation Team. 2011. “ASTER Global Digital Elevation Model Version 2 Summary Report.” Accessed July 15, 2014. https://lpdaacaster.cr.usgs.gov/GDEM/Summary_GDEM2_validation_report_final.pdf
   Google Scholar
• Blanchard, S. D., J. Rogan, and D. W. Woodcock. 2010. “Geomorphic Change Analysis Using ASTER and SRTM Digital Elevation Models in Central Massachusetts, USA.” GIScience & Remote Sensing 47 (1): 1–24. doi:10.2747/1548-1603.47.1.1.
   Web of Science ®Google Scholar
• Bolstad, P. V., and T. Stowe. 1994. “An Evaluation of DEM Accuracy: Elevation, Slope, and Aspect.” Photogrammetric Engineering & Remote Sensing 60 (11): 1327–1332.
   Web of Science ®Google Scholar
• Carlisle, B. H. 2005. “Modelling the Spatial Distribution of DEM Error.” Transactions in GIS 9 (4): 521–540. doi:10.1111/j.1467-9671.2005.00233.x.
   Google Scholar
• Chaplot, V., F. Darboux, H. Bourennane, S. Leguédois, N. Silvera, and K. Phachomphon. 2006. “Accuracy of Interpolation Techniques for the Derivation of Digital Elevation Models in Relation to Landform Types and Data Density.” Geomorphology 77 (1): 126–141.
   Web of Science ®Google Scholar
• Chirico, P. G., K. C. Malpeli, and S. M. Trimble. 2012. “Accuracy Evaluation of an ASTER-Derived Global Digital Elevation Model (GDEM) Version 1 and Version 2 for Two Sites in Western Africa.” GIScience & Remote Sensing 49: 775–801. doi:10.2747/1548-1603.49.6.775.
   Web of Science ®Google Scholar
• Chu, H., C. Wang, M. Huang, C. Lee, C. Liu, and C. Lin. 2014. “Effect of Point Density and Interpolation of Lidar-Derived High-Resolution Dems on Landscape Scarp Identification.” GIScience & Remote Sensing 51 (6): 731–747. doi:10.1080/15481603.2014.980086.
   Web of Science ®Google Scholar
• Daniel, C., and K. Tennant. 2007. “DEM Quality Assessment, Digital Elevation Model Technologies and Applications.” Chapter 12. In The DEM User’s Manual, edited by D. F. Maune, 395–440. Bethesda, MD: ASPRS.
   Google Scholar
• DiCicco, S. 2011. “RAMPP WV Coal River QA/QC Report.” Memorandum. Accessed July 15, 2014. http://www.wvview.org/data/lidar/SouthernWV/Metadata%20and%20Tiling%20Scheme/RAMPP_WV_Memo_20110722_Final.pdf
   Google Scholar
• Evans, R. T., and H. M. Frye. 2009. History of the Topographic Branch (Division). Reston, VA: U.S. Geological Survey Circular.
   Google Scholar
• Fedorko, E. J. 2005. “An Accuracy Assessment of SAMB Elevation Data.” Report. Accessed 2013. West Virginia Technical Center. http://www.wvgis.wvu.edu
   Google Scholar
• Fisher, P. F., and N. J. Tate. 2006. “Causes and Consequences of Error in Digital Elevation Models.” Progress in Physical Geography 30 (4): 467–489. doi:10.1191/0309133306pp492ra.
   Web of Science ®Google Scholar
• Fowler, R. 2007. “Topographic Lidar, Digital Elevation Model Technologies and Applications.” Chapter 7. In The DEM User’s Manual, edited by D. F. Maune, 207–236. Bethesda, MD: ASPRS.
   Google Scholar
• Gesch, D. 2005. “Analysis of Multi-Temporal Geospatial Data Sets to Assess the Landscape Effects of Surface Mining.” Proceedings of the 22nd Annual National Conference of the American Society of Mining and Reclamation, Breckenridge, CO, June 19–23.
   Google Scholar
• Gesch, D. 2014. “An Inventory of Topographic Surface Changes: The Value of Multi-Temporal Elevation Data for Change Analysis and Monitoring.” ISPRS-International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences XL-4: 59–63. doi:10.5194/isprsarchives-XL-4-59-2014.
   Google Scholar
• Gesch, D., M. Oimoen, Z. Zhang, D. Meyer, and J. Danielson. 2012 “Validation of the ASTER Global Digital Elevation Model Version 2 Over the Conterminous United States.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 34–B4, Melbourne, Australia, 22 ISPRS Congress, August 25–September 1.
   Google Scholar
• Gómez, M. F., J. D. Lencinas, A. Siebert, and G. M. Díaz. 2012. “Accuracy Assessment of ASTER and SRTM Dems: A Case Study in Andean Patagonia.” GIScience & Remote Sensing 49 (1): 71–91. doi:10.2747/1548-1603.49.1.71.
   Web of Science ®Google Scholar
• Gong, J., Z. Li, Q. Zhu, H. Sui, and Y. Zhou. 2000. “Effects of Various Factors on the Accuracy of Dems: An Intensive Experimental Investigation.” Photogrammetric Engineering & Remote Sensing 66 (9): 1113–1117.
   Web of Science ®Google Scholar
• Gonga-Saholiariliva, N., Y. Gunnell, C. Petit, and C. Mering. 2011. “Techniques for Quantifying the Accuracy of Gridded Elevation Models and for Mapping Uncertainty in Digital Terrain Analysis.” Progress in Physical Geography 35: 739–764. doi:10.1177/0309133311409086.
   Web of Science ®Google Scholar
• Guth, P. L. 2006. “Geomorphometry from SRTM: Comparison to NED.” Photogrammetric Engineering and Remote Sensing 72 (3): 269–277. doi:10.14358/PERS.72.3.269.
   Web of Science ®Google Scholar
• Hengl, T., and I. S. Evans. 2009. “Chapter 2 Mathematical and Digital Models of the Land Surface.” In Geomorphometry: Concepts Software, Applications, edited by T. Hengl and H. I. Reuter, 31–63. Amsterdam: Elsevier. 10.1016/S0166-2481(08)00002-0.
   Google Scholar
• Hensley, S., R. Munjy, and P. Rosen. 2007. “Interferometric Synthetic Aperture Radar (IFSAR), Digital Elevation Model Technologies and Applications.” Chapter 6. In The DEM User’s Manual, edited by D. F. Maune, 142–206. Bethesda, MD: ASPRS.
   Google Scholar
• Hicks, M. 2012. “Remotely Sensed Topographic Change in Gravel Riverbeds with Flowing Channels.” Chapter 23. In Gravel-Bed Rivers: Processes Tools, Environments, edited by M. Church, B. Pascale, and A. Roy, 303–314. West Sussex: Wiley-Blackwell.
   Google Scholar
• Hirano, A., R. Welch, and H. Lang. 2003. “Mapping from ASTER Stereo Image Data: DEM Validation and Accuracy Assessment.” ISPRS Journal of Photogrammetry and Remote Sensing 57 (5–6): 356–370. doi:10.1016/S0924-2716(02)00164-8.
   Web of Science ®Google Scholar
• Hirt, C., M. Filmer, and W. Featherstone. 2010. “Comparison and Validation of the Recent Freely Available ASTER-GDEM Ver1, SRTM Ver4.1 and GEODATA DEM-9S Ver3 Digital Elevation Models over Australia.” Australian Journal of Earth Sciences 57 (3): 337–347. doi:10.1080/08120091003677553.
   Web of Science ®Google Scholar
• Hodgson, M. E., J. Jensen, L. Schmidt, S. Schill, and B. A. Davis. 2003. “An Evaluation of LIDAR- and IFSAR- Derived Digital Elevation Models in Leaf-On Conditions with USGS Level 1 and Level 2 Dems.” Remote Sensing of Environment 84 (2): 295–308. doi:10.1016/S0034-4257(02)00114-1.
   Web of Science ®Google Scholar
• Hoffmann, J., and D. Walter. 2006. “How Complementary are SRTM-X and –C Band Digital Elevation Models?” Photogrammetric Engineering & Remote Sensing 72 (3): 261–268. doi:10.14358/PERS.72.3.261.
   Web of Science ®Google Scholar
• Hofton, M., R. Dubayah, J. B. Blair, and D. Rabine. 2006. “Validation of SRTM Elevations over Vegetated and Non-Vegetated Terrain Using Medium Footprint Lidar.” Photogrammetric Engineering & Remote Sensing 72 (3): 279–285. doi:10.14358/PERS.72.3.279.
   Web of Science ®Google Scholar
• Höhle, J., and M. Höhle. 2009. “Accuracy Assessment of Digital Elevation Models by Means of Robust Statistical Methods.” ISPRS Journal of Photogrammetry and Remote Sensing 64 (4): 398–406. doi:10.1016/j.isprsjprs.2009.02.003.
   Web of Science ®Google Scholar
• Hooke, R. 1999. “Spatial Distribution of Human Geomorphic Activity in the United States: Comparison with Rivers.” Earth Surface Processes and Landforms 24 (8): 687–692.
   Web of Science ®Google Scholar
• Hooke, R. 2000. “On the History of Humans as Geomorphic Agents.” Geology 28 (9): 843–846. doi:10.1130/0091-7613(2000)28<843:OTHOHA>2.0.CO;2.
   Web of Science ®Google Scholar
• Huggel, C., D. Schneider, P. Julio Miranda, H. DelgadoGranados, and A. Kääb. 2008. “Evaluation of ASTER and STRM DEM Data for Lahar Modeling: A Case Study on Lahars from Popocatépetl Volcano, Mexico.” Journal of Volcanology and Geothermal Research 170: 99–110. doi:10.1016/j.jvolgeores.2007.09.005.
   Web of Science ®Google Scholar
• Hutchinson, M. 1988. “Calculation of Hydrologically Sound Digital Elevation Models.” Proceedings of the Third International Symposium on Spatial Data Handling, Sydney, August 17–19.
   Google Scholar
• Hutchinson, M. 1989. “A New Procedure for Gridding Elevation and Stream Line Data with Automatic Removal of Spurious Pits.” Journal of Hydrology 106 (3–4): 211–232. doi:10.1016/0022-1694(89)90073-5.
   Web of Science ®Google Scholar
• Hutchinson, M. F. 2006. ANUDEM Version 5.2 User Guide. Canberra: Fenner School of Environment and Society, Australian National University.
   Google Scholar
• James, L. A., M. E. Hodgson, S. Ghoshal, and M. M. Latiolais. 2012. “Geomorphic Change Detection Using Historic Maps and DEM Differencing: The Temporal Dimension of Geospatial Analysis.” Geomorphology 137 (1): 181–198. doi:10.1016/j.geomorph.2010.10.039.
   Web of Science ®Google Scholar
• Jensen, J. R. 2007. Remote Sensing of the Environment. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Kanji, G. K. 2006. 100 Statistical Tests. 3rd ed. Thousand Oaks, CA: Sage.
   Google Scholar
• Khalsa, S. J. S., M. B. Dyurgerov, T. Khromova, B. H. Raup, and R. G. Barry. 2004. “Space-Based Mapping of Glacier Changes Using ASTER and GIS Tools.” IEEE Transactions on Geoscience and Remote Sensing 42 (10): 2177–2183. doi:10.1109/TGRS.2004.834636.
   Web of Science ®Google Scholar
• Kienzle, S. 2004. “The Effect of DEM Raster Resolution on First Order, Second Order and Compound Terrain Derivatives.” Transactions in GIS 8: 83–111. doi:10.1111/j.1467-9671.2004.00169.x.
   Google Scholar
• Li, J., and D. W. S. Wong. 2010. “Effects of DEM Sources on Hydrologic Applications.” Computers Environment and Urban Systems 34: 251–261. doi:10.1016/j.compenvurbsys.2009.11.002.
   Web of Science ®Google Scholar
• Martı́nez-Casasnovas, J. A., M. C. Ramos, and J. Poesen. 2004. “Assessment of Sidewall Erosion in Large Gullies Using Multi-Temporal Dems and Logistic Regression Analysis.” Geomorphology 58: 305–321. doi:10.1016/j.geomorph.2003.08.005.
   Web of Science ®Google Scholar
• Miliaresis, G., and D. Delikaraoglou. 2009. “Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates.” Remote Sensing 1: 36–49. doi:10.3390/rs1020036.
   Web of Science ®Google Scholar
• Molander, C. W. 2001. “Photogrammetry, Digital Elevation Model Technologies and Applications.” Chapter 5. In The DEM User’s Manual, edited by D. F. Maune, 121–141. Bethesda, MD: ASPRS.
   Google Scholar
• Passini, R., K. Jacobsen, and R. M. Passini. 2007. “Accuracy Analysis of SRTM Height Models.” Proceedings of ASPRS Annual Conference, Tampa, FL, May 7–11, 25–29.
   Google Scholar
• Phillips, J. 2004. “Impacts of Surface Mine Valley Fills on Headwater Floods in Eastern Kentucky.” Environmental Geology 45 (3): 367–380. doi:10.1007/s00254-003-0883-1.
   Web of Science ®Google Scholar
• Pierce, L., J. Kellndorf, W. Walker, and O. Barros. 2006. “Evaluation of the Horizontal Resolution of SRTM Elevation Data.” Photogrammetric Engineering & Remote Sensing 72 (11): 1235–1244. doi:10.14358/PERS.72.11.1235.
   Web of Science ®Google Scholar
• Ren, Z., Z. Zhang, F. Dai, J. Yin, and H. Zhang. 2014. “Topographic Changes Due to the 2008 Mw 7.9 Wenchuan Earthquake as Revealed by the Differential DEM Method.” Geomorphology 217: 122–130. doi:10.1016/j.geomorph.2014.04.020.
   Web of Science ®Google Scholar
• Rodríguez, E., C. S. Morris, and J. E. Belz. 2006. “A Global Assessment of the SRTM Performance.” Photogrammetric Engineering & Remote Sensing 72 (3): 249–260. doi:10.14358/PERS.72.3.249.
   Web of Science ®Google Scholar
• Rogerson, P. 2006. Statistical Methods for Geography: A Student’s Guide. 1st ed. Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• Rosette, J., J. Suárez, R. Nelson, S. Los, B. Cook, and P. North. 2012. “Lidar Remote Sensing for Biomass Assessment.” In Remote Sensing of Biomass - Principles and Applications, edited by L. Fatoyinbo, 3–26. Rijeka: InTech.
   Google Scholar
• Slater, J. A., B. Heady, G. Kroenung, W. Curtis, J. Haase, D. Hoegemann, C. Shockley, and K. Tracy. 2011. “Global Assessment of the New ASTER Global Digital Elevation Model.” Photogrammetric Engineering and Remote Sensing 77 (4): 335–349. doi:10.14358/PERS.77.4.335.
   Web of Science ®Google Scholar
• USGS (U.S. Geological Survey). 1993. “Data Users Guide 5: Digital Elevation Models.” Reston, VA: U.S. Geological Survey. http://pubs.usgs.gov/of/2003/0017/sus_met.txt
   Google Scholar
• USGS (U.S. Geological Survey). 2006. “Map Accuracy Standards Fact Sheet FS-171-99.” Accessed July 1, 2014. http://pubs.usgs.gov/fs/1999/0171/report.pdf
   Google Scholar
• USGS (U.S. Geological Survey). 2009. “SRTM Topography.” SRTM Documentation, 2.1. Accessed July 14, 2014. http://dds.cr.usgs.gov/srtm/version_1/Documentation/SRTM_Topo.pdf
   Google Scholar
• USGS (U.S. Geological Survey). 2013. “USGS Topographic Maps.” Accessed May 1. http://nationalmap.gov/
   Google Scholar
• Wechsler, S., and C. Kroll. 2006. “Quantifying DEM Uncertainty and its Effect on Topographic Parameters.” Photogrammetric Engineering & Remote Sensing 72: 1081–1090. doi:10.14358/PERS.72.9.1081.
   Web of Science ®Google Scholar
• Weng, Q. 2002. “Quantifying Uncertainty of Digital Elevation Models Derived from Topographic Maps.” In Advances in Spatial Data Handling, edited by D. E. Richardson and P. Van Oosterom, 403–418. Berlin: Springer.
   Google Scholar
• WVDHSEM (West Virginia Division of Homeland Security and Emergency Management). 2014. “Statewide Addressing and Mapping.” Accessed December 3. http://www.dhsem.wv.gov/gis/Pages/default.aspx
   Google Scholar
• Wheaton, J. M., J. Brasington, S. E. Darby, and D. Sear. 2009. “Accounting for Uncertainty in Dems from Repeat Topographic Surveys: Improved Sediment Budgets.” Earth Surface Processes and Landforms 35 (2): 136–156.
   Web of Science ®Google Scholar