Landslide mapping with multi-scale object-based image analysis-a case study in the Baichi watershed, Taiwan

Natural Hazards and Earth System Science

Volumn 11, Issue 10, 2011, Pages 2715-2726

  Lahousse, T ^a   Chang, K T ^b   Lin, Y H ^c  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b KAINAN UNIVERSITY   (Taiwan)

^c Sinotech Engineerning Consultants Inc   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SET; DETECTION METHOD; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDSLIDE; MAPPING; MODEL VALIDATION; PERFORMANCE ASSESSMENT; SOFTWARE; TYPHOON; WATERSHED;

TAIWAN;

EID: 80155126053     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-11-2715-2011     Document Type: Article

References (54)

1. Arbiol, R., Zhang, Y., and Palà, V.: Advanced classification techniques: a review, ISPRS Commission VII Mid-term Symposium "From Pixel to Processes", Enschede, Netherlands, 8-11 May 2006, 2006.
2. Baatz, M. and Schäpe, M.: Multiresolution segmentation-An optimization approach for high quality multi-scale image segmentation, in: Angewandte Geographische Informations-Verarbeitung XII, edited by: Strobl, J., Blaschke, T., and Griesebner, G., Wich-mann Verlag, Karlsruhe, Germany, 12-23, 2000.
3. Barlow, J., Martin, Y., and Franklin, S. E.: Detecting translational landslide scars using segmentation of Landsat ETM+ and DEM data in the northern Cascade Mountains, British Columbia, Can. J. Remote Sens., 29, 510-517, 2003.
4. Barlow, J., Franklin, S., and Martin, Y.: High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes, Photogramm. Eng. Rem. S., 72(6), 687-692, 2006.
5. Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., and Heynen, M.: Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, ISPRS J. Pho-togramm., 58, 239-258, 2004. (Pubitemid 38106043)
6. Blaschke, T.: Object based image analysis for remote sensing, IS-PRS J. Photogramm., 65, 2-16, 2010.
7. Blaschke, T. and Hay, G. J.: Object-oriented image analysis and scale-space: Theory and methods for modeling and evaluating multi-scale landscape structure, in: International Archives of Photogrammetry and Remote Sensing 34 (Part 4/W5), Athens, Georgia, USA, 29-31 October 2001, 22-29, 2001.
8. Burnett, C. and Blaschke, T.: A multi-scale segmentation/object relationship modeling methodology for landscape analysis, Ecol. Model., 168(3), 233-249, 2003. (Pubitemid 37537914)
9. Chang, K. T. and Chiang, S. H.: An integrated model for predicting rainfall-induced landslides, Geomorphology, 105, 366-373, 2009.
10. Chen, C. Y., Yu, F. C., Lin, S. C., and Chuenh, K. W.: Discussion of landslide self-organized criticality and the initiation of debris flow, Earth Surf. Proc. Land., 32, 197-209, 2007.
11. Cheng, C., Hsu, N., and Wei, C.: Decision-tree analysis on optimal release of reservoir storage under typhoon warnings, Nat. Hazards, 44, 65-84, 2008. (Pubitemid 351166492)
12. Chiang, S. H. and Chang, K. T.: Application of radar data to modeling rainfall-induced landslides, Geomorphology, 103, 299-309, 2009.
13. Chiang, S. H. and Chang, K. T.: The potential impact of climate change on typhoon-triggered landslides in Taiwan, 2010-2099, Geomorphology, doi:10.1016/j.geomorph.2010.12.028, 2011.
14. Chiu, Y. J., Borghuis, A. M., Lee, H. Y., Chang, K. T., and Chao, J. H.: Estimation of soil erosion in a reservoir watershed using ∼(137)CS fallout radionuclide, Int. J. Sediment Res., 4, 304-317, 2007.
15. Definiens: Developer 7: Reference Book, Definiens Imaging GmbH, 2007a.
16. Definiens: Developer 7: Userguide, Definiens Imaging GmbH, 2007b.
17. Dragut, L., Tiede, D., and Levick, S. R.: ESP: a tool to estimate scale parameter for multiresolution segmentation of remotely sensed data, Int. J. Geogr. Inf. Sci., 24, 859-871, 2010.
18. Galli, M., Ardizzone, F., Cardinali, M., Guzzetti, F., and Reichenbach, P.: Comparing landslide inventory maps, Geomorphology, 94, 268-289, 2008.
19. Gitas, I. Z., Mitri, G. H., and Ventura, G.: Object-based image classification for burned area mapping of Creus Cape, Spain, Remote Sens. Environ., 92, 709-713, 2003.
20. Guzzetti, F.: Landslide Hazard and Risk Assessment Concepts, Ph.D. thesis, Faculty Faculty of Mathematics and Natural Sciences, Bonn University, Germany, 371 pp., 2005.
21. Guzzetti, F., Carrara, A., Cardinali, M., and Reichenbach, P.: Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31, 181-216, 1999. (Pubitemid 30247527)
22. Guzzetti, F., Cardinali, M., Reichenbach, P., and Carrara, A.: Comparing landslide maps: a case study in the upper Tiber River Basin, Central Italy, Environ. Manage., 25, 247-363, 2000.
23. Guzzetti, F., Galli, M., Reichenbach, P., Ardizzone, F., and Cardi-nali, M.: Landslide hazard assessment in the Collazzone area, Umbria, Central Italy, Nat. Hazards Earth Syst. Sci., 6, 115-131, doi:10.5194/nhess-6-115-2006, 2006a. (Pubitemid 43205180)
24. Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., and Galli, M.: Estimating the quality of landslide susceptibility models, Geomorphology, 81, 166-184, 2006b. (Pubitemid 44542523)
25. Hansen, A.: Landslide hazard analysis, in: Slope Instability, edited by: Brunsden, D. and Prior, D. B., John Wiley, New York, USA, 523-602, 1984.
26. Hay, G. J. and Castilla, G.: Geographic object-based image analysis (GEOBIA): a new name for a new discipline, in: Object Based Image Analysis, Blaschke, T., Lang, S., and Hay, G., Springer, Heidelberg, Berlin, New York, 93-112, 2008.
27. Hay, G. J. and Marceau, D. J.: Multiscale object-specific analysis (MOSA): an integrative approach for multiscale landscape analysis, in: Remote Sensing and Digital Image Analysis. Book Series: Remote Sensing and Digital Image Processing, vol. 5, de Jong, S. M. and van der Meer, F. D., Kluwer Academic Publishers, Dordrecht, Netherlands, 71-92, 2004.
28. Hay, G., Niemann, K., and Goodenough, D.: Spatial thresholds, image-objects, and upscaling: a multiscale evaluation, Remote Sens. Environ., 62, 1-19, 1997. (Pubitemid 28052014)
29. Hay, G. J., Marceau, D. J., Dube, P., and Bouchard, A.: A multiscale framework for landscape analysis: object-specific analysis and upscaling, Landscape Ecol., 16, 471-490, 2001. (Pubitemid 33145796)
30. Huang, J. C. and Kao, S. J.: Interactive comment on "Optimal estimator for assessing landslide model efficiency", Hydrol. Earth Syst. Sci. Discuss., 3, S669-S673, 2006.
31. Kerle, N. and de Leeuw, J.: Reviving legacy population maps with object-oriented image processing techniques, IEEE T. Geosci. Remote, 47, 2392-2402, 2009.
32. Kim, M., Madden, M., and Warner, T.: Estimation of optimal image object size for the segmentation of forest stands with mul-tispectral IKONOS imagery, in: Object-based image analysis-spatial concepts for knowledge driven remote sensing applications, edited by: Blaschke, T., Lang, S., and Hay, G. J., Springer, Berlin, Germany, 291-307, 2008.
33. Landgrebe, D. A.: Signal Theory Methods in Multispectral Remote Sensing, John Wiley and Sons, Hoboken, New Jersey, USA, 2003.
34. Lang, S.: Object-based image analysis for remote sensing applications: modeling reality-dealing with complexity, in: Object-based image analysis-spatial concepts for knowledge driven remote sensing applications, edited by: Blaschke, T., Lang, S., and Hay, G. J., Springer, Berlin, Germany, 1-25, 2008.
35. Liu, J. and Woing, T.: A practical approach to creating a landslide database using Taiwan SPOT mosaic, in Proceedings of the 20th Asian Conference on Remote Sensing (ACRS 1999), Hong Kong, China, 22-25 November 1999, electronic proceedings, 1999.
36. Lu, D. and Weng, Q.: A survey of image classification methods and techniques for improving classification performance, Int. J. Remote Sens., 28, 823-870, 2007. (Pubitemid 46476334)
37. Lu, P., Stumpf, A., Kerle, N., and Casagli, N.: Object-oriented change detection for landslide rapid mapping, IEEE Geosci. Remote S., 8, 701-705, doi:10.1109/LGRS.2010.2101045, 2011.
38. Malamud, B. D., Turcotte D. L., Guzzetti, F., and Reichenbach, P.: Landslide inventories and their statistical properties, Earth Surf. Proc. Land., 29, 687-711, 2004. (Pubitemid 38861350)
39. Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J., and Kumar, K. V.: Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods, Geomorphology, 116, 24-36, 2010.
40. Martha, T. R., Kerle, N., van Westen, C., Jetten, V., and Kumranchat, V. K.: Segment optimisation and data-driven thresholding for knowledge-based landslide detection by object-based image analysis, IEEE T. Geosci. Remote, 99, 1-16, doi:10.1109/TGRS.2011.2151866, 2011.
41. Martin, Y. E. and Franklin, S. E.: Classification of soil-and bedrock-dominated landslides in British Columbia using segmentation of satellite imagery and DEM data, Int. J. Remote Sens., 26, 1505-1509, 2005. (Pubitemid 40659699)
42. Moine, M., Puissant, A., and Malet, J. P.: Detection of landslides from aerial and satellite images with a semi-automatic method. Application to the Barcelonnette basin (Alpes-de-Haute-Provence, France), in: Landslide Processes: From Geo-morphological Mapping to Dynamic Modelling, Malet, J. P., Re-maitre, A., and Bogaard, T., CERG, Strasbourg, France, 63-68, 2009.
43. Park, N. W. and Chi, K. H.: Quantitative assessment of landslide susceptibility using high-resolution remote sensing data and a generalized additive model, Int. J. Remote Sens., 29, 247-264, 2008.
44. Rau, J., Chen, L., Liu, J., and Wu, T.: Dynamics monitoring and disaster assessment for watershed management using time-series satellite images, IEEE T. Geosci. Remote, 45, 1641-1649, 2007. (Pubitemid 46853278)
45. Stumpf, A. and Kerle, N.: Combining Random Forests and object-oriented analysis for landslide mapping from very high resolution imagery, Procedia Environmental Sciences, 3, 14-129, 2011a.
46. Stumpf, A. and Kerle, N.: Object-oriented mapping of landslides using Random Forests, Remote Sens. Environ., in press, doi:10.1016/j.rse.2011.05.013, 2011b.
47. Thomas, N., Hendrix, C., and Congalton, R. G.: A comparison of urban mapping methods using high-resolution digital imagery, Photogramm. Eng. Rem. S., 69, 963-972, 2003. (Pubitemid 37078316)
48. Tso, B. and Mather, P. M.: Classification Methods for Remotely Sensed Data, Taylor and Francis, New York, USA, 2001.
49. Van Den Eeckhaut, M., Poesen, J., Govers, G., Verstaeten, G., and Demoulin, A.: Characteristics of the size distribution of recent and historical landslides in a populated hilly region, Earth Planet.Sc. Lett. 256, 588-603, 2007. (Pubitemid 46523567)
50. Van Westen, C. J., Castellanos, E., and Kuriakose, S. L.: Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview, Eng. Geol., 102, 112-131, 2008.
51. Varnes, D. J. and IAEG Commission on Landslides and other Mass-Movements: Landslide hazard zonation: a review of principles and practice, UNESCO Press, Paris, France, 1984.
52. Walter, V.: Object-based classification of remote sensing data for change detection, ISPRS J. Photogramm., 58, 225-238, 2004. (Pubitemid 38106042)
53. Zhou, W. and Troy, A.: An object-oriented approach for analysing and characterizing urban landscape at the parcel level, Int. J. Remote Sens., 29, 3119-3135, 2008. (Pubitemid 351911284)
54. Zhou, W., Troy, A., and Grove, M.: Modeling residential lawn fertilization practices: integrating high resolution remote sensing with socioeconomic data, Environ. Manage., 41, 742-752, 2008.