GIS-Based detection of gullies in terrestrial lidar data of the cerro llamoca peatland (peru)

Remote Sensing

Volumn 5, Issue 11, 2013, Pages 5851-5870

  Höfle, Bernhard ^a   Griesbaum, Luisa ^a   Forbriger, Markus ^b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b UNIVERSITY OF COLOGNE   (Germany)

Author keywords

Geomorphometry; GIS; Gully detection; LiDAR; Peatland; Terrestrial laser scanning

Indexed keywords

CLIMATE CHANGE; ECOLOGY; EROSION; OPTICAL RADAR; WETLANDS;

DIGITAL TERRAIN MODEL; ECOLOGICAL FUNCTIONS; ENVIRONMENTAL CONDITIONS; GEOMORPHOMETRY; LIGHT DETECTION AND RANGING; PEATLAND; TERRESTRIAL LASER SCANNING; WATER STORAGE CAPACITY;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 84904708605     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5115851     Document Type: Article

References (46)

1. Valentin, C.; Poesen, J.; Li, Y. Gully erosion: Impacts, factors and control. Catena 2005, 63, 132-153.
2. Squeo, F.A.; Warner, B.G.; Aravena, R.; Espinoza, D. Bofedales: High altitude peatlands of the central Andes. Revista Chilena de Historia Natural 2006, 79, 245-255.
3. Alzérreca, H.; Laura, J.; Loza, F.; Lunda, D.; Ortega, J. Importance of Carrying Capacity of Sustainable Management of Key-andean Puna Rangelands (Bofedales) in Ulla Ulla, Bolivia. In Land Use Change and Mountain Biodiversity; Spehn, E., Liberman, M., Körner, C., Eds.; CRC Press, Taylor & Francis: Boca Raton, FL, USA, 2006; pp. 167-185.
4. Schittek, K.; Forbriger, M.; Schäbitz, F.; Eitel, B. Cushion Peatlands-Fragile Water Resources in the High Andes of Southern Peru. In Water-Contributions to Sustainable Supply and Use, Landscape and Sustainable Development; Weingartner, H., Blumenstein, O., Vavelidis, M., Eds; Workinggroup Landscape and Sustainable Development: Salzburg, Austria, 2012; pp. 63-84.
5. Marzolff, I.; Ries, J.B. Gully erosion monitoring in semi-arid landscapes. Z. Geomorphol. 2007, 51, 405-425.
6. Bocco, G. Gully erosion: Processes and models. Prog. Phys. Geog. 1991, 15, 392-406.
7. Morgan, R.P.C. Soil erosion. Longman: London, UK, New York, NY, USA, 1979; p. 113.
8. Evans, M.; Warburton, J.; Yang, J. Eroding blanket peat catchments: Global and local implications of upland organic sediment budgets. Geomorphology 2006, 79, 45-57.
9. Evans, M.; Warburton, J. Geomorphology of Upland Peat: Erosion, Form and Landscape Change; Wiley-Blackwell: West Sussex, UK, 2008.
10. Holden, J.; Gascoign, M.; Bosanko, N.R. Erosion and natural revegetation associated with surface land drains in upland peatlands. Earth Surf. Process. Landforms 2007, 32, 1547-1557.
11. Hancock, G.R.; Crawter, D.; Fityus, S.G.; Chandler, J.; Wells, T. The measurement and modelling of rill erosion at angle of repose slopes in mine spoil. Earth Surf. Process. Landforms 2008, 33, 1006-1020.
12. Hohenthal, J.; Alho, P.; Hyyppä, J.; Hyyppä, H. Laser scanning applications in fluvial studies. Prog. Phys. Geog. 2011, 35, 782-809.
13. Höfle, B.; Rutzinger, M. Topographic airborne LiDAR in geomorphology: A technological perspective. Z. Geomorphol. 2011, 55, 1-29.
14. Heritage, G.L.; Milan, D.J.; Large, A.R.G.; Fuller, I.C. Influence of survey strategy and interpolation model on DEM quality. Geomophology 2009, 112, 334-344.
15. Heritage, G.L.; Hetherington, D. Towards a protocol for laser scanning in fluvial geomorphology. Earth Surf. Process. Landforms 2008, 32, 66-74.
16. Pirotti, F.; Guarnieri, A.; Vettore, A. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS J. Photogramm. Remote Sens. 2013, 76, 56-63.
17. Castillo, C.; Pérez, R.; James, M.R.; Quinton, J.N.; Taguas, E.V; Gómez, J.A. Comparing the Accuracy of Several Field Methods for Measuring Gully Erosion. Soil Sci. Soc. Am. J. 2011, 76, 1319-1332.
18. Momm, H.; Bingner, R.; Wells, R.; Dabney, S. Methods for Gully Characterization in Agricultural Croplands Using Ground-Based Light Detection and Ranging. In Sediment Transport-Flow and Morphological Processes; Bhuiyan, F., Ed.; InTech: Croatia, 2011. Available online: http://cdn.intechopen.com/pdfs/21752/InTech-Methods_for_gully_characterization_in_agricultural_ croplands_using_ground_based_light_detection_and_ranging.pdf (accessed on 17 August 2013).
19. Rutzinger, M.; Höfle, B.; Vetter, M.; Pfeifer, N. Digital Terrain Models from Airborne Laser Scanning for the Automatic Extraction of Natural and Anthropogenic Linear Structures. In Geomorphological Mapping; Smith, M.J., Paron, P., Griffiths, J.S., Eds.; Elsevier: Oxford, UK, 2011; pp. 475-488.
20. Rutzinger, M.; Höfle, B.; Kringer, K. Accuracy of automatically extracted geomorphological breaklines from airborne LiDAR curvature images. Geografiska. Annaler.: Series A, Phys. Geogr. 2012, 94, 33-42.
21. Van Asselen, S.; Seijmonsbergen, A. Expert-driven semi-automated geomorphological mapping for a mountainous area using a laser DTM. Geomorphology 2006, 78, 309-320.
22. Poesen, J.; Nachtergaele, J.; Verstaeten, G.; Valentin, C. Gully erosion and environmental change: Importance and research needs. Catena 2003, 50, 91-133.
23. Marzolff, I.; Poesen, J. The potential of 3D gully monitoring with GIS using high-resolution aerial photography and a digital photogrammetry system. Geomorphology 2009, 111, 48-60.
24. Shruthi, R.B.; Kerle, N.; Jetten, V. Object-based gully feature extraction using high spatial resolution imagery. Geomorphology 2011, 134, 260-268.
25. D'Oleire-Oltmanns, S.; Eisank, C.; Dragut, L.; Blaschke, T. An object-based workflow to extract landforms at multiple scales from two distinct data types. IEEE Geosci. Remote Sens. 2013, 10, 947-951.
26. James, L.A.; Watson, D.G.; Hansen, W.F. Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA. Catena 2007, 71, 132-144.
27. Jones, A.F.; Brewer, P.A.; Johnstone, E.; Macklin, M.G. High-resolution interpretative geomorphological mapping of river valley environments using airborne LiDAR data. Earth Surf. Process. Landforms 2007, 32, 1574-1592.
28. Notebaert, B.; Verstraeten, G.; Govers, G.; Poesen, J. Qualitative and quantitative applications of LiDAR imagery in fluvial geomorphology. Earth Surf. Process. Landforms 2009, 34, 217-231.
29. Milan, D.J.; Heritage, G.L.; Hetherington, D. Application of a 3D laser scanner in the assessment of erosion and deposition volumes and channel change in a proglacial river. Earth Surf. Process. Landforms 2007, 32, 1657-1674.
30. Picco, L.; Mao, L.; Cavalli, M.; Buzzi, E.; Rainato, R.; Lenzi, M.A. Evaluating short-term morphological changes in a gravel-bed braided river using terrestrial laser scanner. Geomorphology 2013, doi:10.1016/j.geomorph.2013.07.007.
31. Evans, M.; Lindsay, J. High resolution quantification of gully erosion in upland peatlands at the landscape scale. Earth Surf. Process. Landforms 2010, 35, 876-886.
32. Sofia, G.; Tarolli, P.; Cazorzi, F.; Dalla Fontana, G. An objective approach for feature extraction: distribution analysis and statistical descriptors for scale choice and channel network identification. Hydrol. Earth Syst. Sci. 2011, 15, 1387-1402.
33. Baruch, A.; Filin, S. Detection of gullies in roughly textured terrain using airborne laser scanning data. ISPRS J. Photogramm. Remote Sens. 2011, 66, 564-578.
34. Höfle, B. Radiometric correction of terrestrial LiDAR point cloud data for individual maize plant detection. IEEE Geosci. Remote Sens. 2013, doi:10.1109/LGRS.2013.2247022.
35. Momm, H.G.; Binger, R.L.; Wells, R.R.; Dabney, S.M.; Frees, L.D. Effect of terrestrial LiDAR point sampling density in ephemeral gully characterization. Open J. Mod. Hydrol. 2013, 3, 38-49.
36. Perroy, R.L.; Bookhagen, B.; Asner, G.P.; Chadwick, O.A. Comparison of gully erosion estimates using airborne and ground-based LiDAR on Santa Cruz Island, California. Geomorphology 2010, 118, 288-300.
37. Riegl. Available online: http://www.riegl.com (accessed on 16 August 2013).
38. Pfeifer, N.; Mandlburger, G.; Otepka, J.; Karel, W. OPALS-A framework for Airborne Laser Scanning data analysis. Comput. Environ. Urban. 2013, in press.
39. Arge, L.; Chase, J.S.; Halpin, P.N.; Toma, L.; Vitter, J.S.; Urban, D.; Wickremesinghe, R. Flow computation on massive grid terrains. GeoInformatica 2003, 7, 283-313.
40. Metz, M.; Mitasova, H.; Harmon, R.S. Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search. Hydrol. Earth Syst. Sci. 2011, 15, 667-678.
41. Neteler, M.; Bowman, M.H.; Landa, M.; Metz, M. GRASS GIS: A multi-purpose open source GIS. Environ. Model. Softw. 2012, 31, 124-130.
42. Wood, J. The Geomorphological Characterisation of Digital Elevation Models. Ph.D. Dissertation, University of Leicester, Leicester, UK, 1996.
43. Thommeret, N.; Bailly, J.S.; Puech, C. Extraction of thalweg networks from DTMs: Application to badlands. Hydrol. Earth Syst. Sci. 2010, 14, 1527-1536.
44. GRASS Development Team-GRASS GIS 6.4.3 Reference Manual. Available online: http://grass.fbk.eu/grass64/manuals/html64_user/index.html (accessed on 9 June 2012).
45. Karimipour, F.; Ghandehari, M.; Ledoux, H. Watershed delineation from the medial axis of river networks. Comput. Geosci. 2013, 59, 132-147.
46. Höfle, B.; Vetter, M.; Pfeifer, N.; Mandlburger, G.; Stötter, J. Water surface mapping from airborne laser scanning using signal intensity and elevation data. Earth Surf. Process. Landforms 2009, 34, 1635-1649.