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2017 | OriginalPaper | Buchkapitel

4. Integration of LiDAR and QuickBird Data for Automatic Landslide Detection Using Object-Based Analysis and Random Forests

verfasst von : Biswajeet Pradhan, Maher Ibrahim Seeni, Haleh Nampak

Erschienen in: Laser Scanning Applications in Landslide Assessment

Verlag: Springer International Publishing

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Abstract

Landslide inventories are indispensable in producing landslide susceptibility, hazard, and risk maps. Landslide inventory maps are produced by detecting landslide locations or scarps.

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Literatur
Zurück zum Zitat Arenas-García, J., & Camps-Valls, G. (2008). Efficient kernel orthonormalized PLS for remote sensing applications. IEEE Transactions on Geoscience and Remote Sensing, 46(10), 2872–2881.CrossRef Arenas-García, J., & Camps-Valls, G. (2008). Efficient kernel orthonormalized PLS for remote sensing applications. IEEE Transactions on Geoscience and Remote Sensing, 46(10), 2872–2881.CrossRef
Zurück zum Zitat Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.CrossRef Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.CrossRef
Zurück zum Zitat Borghuis, AM., Chang, K., Lee, HY. (2007). Comparision between automated and manual mapping of typhoon-trigerred landslides from SPOT-5 imagery. International Journal of Remote Sensing, 7(8), 1843–1856. Borghuis, AM., Chang, K., Lee, HY. (2007). Comparision between automated and manual mapping of typhoon-trigerred landslides from SPOT-5 imagery. International Journal of Remote Sensing, 7(8), 1843–1856.
Zurück zum Zitat Brardinoni, F., Slaymaker, O., & Hassan, M. A. (2003). Landslide inventory in a rugged forested watershed: A comparison between air-photo and field survey data. Geomorphology, 54(3), 179–196.CrossRef Brardinoni, F., Slaymaker, O., & Hassan, M. A. (2003). Landslide inventory in a rugged forested watershed: A comparison between air-photo and field survey data. Geomorphology, 54(3), 179–196.CrossRef
Zurück zum Zitat Calabro, M., Schmidt, D., & Roering, J. (2010). An examination of seasonal deformation at the Portuguese Bend landslide, southern California, using radar interferometry. Journal of Geophysical Research: Earth Surface, 115(F2). Calabro, M., Schmidt, D., & Roering, J. (2010). An examination of seasonal deformation at the Portuguese Bend landslide, southern California, using radar interferometry. Journal of Geophysical Research: Earth Surface, 115(F2).
Zurück zum Zitat Castillejo-González, I. L., López-Granados, F., García-Ferrer, A., Peña-Barragán, J. M., Jurado-Expósito, M., de la Orden, M. S., et al. (2009). Object-and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery. Computers and Electronics in Agriculture, 68(2), 207–215.CrossRef Castillejo-González, I. L., López-Granados, F., García-Ferrer, A., Peña-Barragán, J. M., Jurado-Expósito, M., de la Orden, M. S., et al. (2009). Object-and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery. Computers and Electronics in Agriculture, 68(2), 207–215.CrossRef
Zurück zum Zitat Chen, Y., Su, W., Li, J., & Sun, Z. (2009). Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas. Advances in Space Research, 43(7), 1101–1110.CrossRef Chen, Y., Su, W., Li, J., & Sun, Z. (2009). Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas. Advances in Space Research, 43(7), 1101–1110.CrossRef
Zurück zum Zitat Cheng, K., Wei, C., & Chang, S. (2004). Locating landslides using multi-temporal satellite images. Advances in Space Research, 33(3), 296–301.CrossRef Cheng, K., Wei, C., & Chang, S. (2004). Locating landslides using multi-temporal satellite images. Advances in Space Research, 33(3), 296–301.CrossRef
Zurück zum Zitat Derron, M.-H., & Jaboyedoff, M. (2010). Preface “LIDAR and DEM techniques for landslides monitoring and characterization”. Natural Hazards and Earth System Science, 10(9), 1877–1879.CrossRef Derron, M.-H., & Jaboyedoff, M. (2010). Preface “LIDAR and DEM techniques for landslides monitoring and characterization”. Natural Hazards and Earth System Science, 10(9), 1877–1879.CrossRef
Zurück zum Zitat Díaz-Uriarte, R., & De Andres, S. A. (2006). Gene selection and classification of microarray data using random forest. BMC Bioinformatics, 7(1), 1.CrossRef Díaz-Uriarte, R., & De Andres, S. A. (2006). Gene selection and classification of microarray data using random forest. BMC Bioinformatics, 7(1), 1.CrossRef
Zurück zum Zitat Eeckhaut, M., Poesen, J., Verstraeten, G., Vanacker, V., Nyssen, J., Moeyersons, J., et al. (2007). Use of LIDAR-derived images for mapping old landslides under forest. Earth Surface Processes and Landforms, 32(5), 754–769.CrossRef Eeckhaut, M., Poesen, J., Verstraeten, G., Vanacker, V., Nyssen, J., Moeyersons, J., et al. (2007). Use of LIDAR-derived images for mapping old landslides under forest. Earth Surface Processes and Landforms, 32(5), 754–769.CrossRef
Zurück zum Zitat Foody, G. M., & Mathur, A. (2004). Toward intelligent training of supervised image classifications: Directing training data acquisition for SVM classification. Remote Sensing of Environment, 93(1), 107–117.CrossRef Foody, G. M., & Mathur, A. (2004). Toward intelligent training of supervised image classifications: Directing training data acquisition for SVM classification. Remote Sensing of Environment, 93(1), 107–117.CrossRef
Zurück zum Zitat Galli, M., Ardizzone, F., Cardinali, M., Guzzetti, F., & Reichenbach, P. (2008). Comparing landslide inventory maps. Geomorphology, 94(3), 268–289.CrossRef Galli, M., Ardizzone, F., Cardinali, M., Guzzetti, F., & Reichenbach, P. (2008). Comparing landslide inventory maps. Geomorphology, 94(3), 268–289.CrossRef
Zurück zum Zitat Genuer, R., Poggi, J.-M., & Tuleau-Malot, C. (2015). VSURF: An R package for variable selection using random forests. The R Journal, 7(2), 19–33. Genuer, R., Poggi, J.-M., & Tuleau-Malot, C. (2015). VSURF: An R package for variable selection using random forests. The R Journal, 7(2), 19–33.
Zurück zum Zitat Gislason, P. O., Benediktsson, J. A., & Sveinsson, J. R. (2006). Random forests for land cover classification. Pattern Recognition Letters, 27(4), 294–300.CrossRef Gislason, P. O., Benediktsson, J. A., & Sveinsson, J. R. (2006). Random forests for land cover classification. Pattern Recognition Letters, 27(4), 294–300.CrossRef
Zurück zum Zitat Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., & Chang, K.-T. (2012). Landslide inventory maps: New tools for an old problem. Earth-Science Reviews, 112(1), 42–66.CrossRef Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., & Chang, K.-T. (2012). Landslide inventory maps: New tools for an old problem. Earth-Science Reviews, 112(1), 42–66.CrossRef
Zurück zum Zitat Laliberte, A., Rango, A., Herrick, J., Fredrickson, E. L., & Burkett, L. (2007). An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography. Journal of Arid Environments, 69(1), 1–14.CrossRef Laliberte, A., Rango, A., Herrick, J., Fredrickson, E. L., & Burkett, L. (2007). An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography. Journal of Arid Environments, 69(1), 1–14.CrossRef
Zurück zum Zitat Möller, M., Lymburner, L., & Volk, M. (2007). The comparison index: A tool for assessing the accuracy of image segmentation. International Journal of Applied Earth Observation and Geoinformation, 9(3), 311–321.CrossRef Möller, M., Lymburner, L., & Volk, M. (2007). The comparison index: A tool for assessing the accuracy of image segmentation. International Journal of Applied Earth Observation and Geoinformation, 9(3), 311–321.CrossRef
Zurück zum Zitat Moosavi, V., Talebi, A., & Shirmohammadi, B. (2014). Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method. Geomorphology, 204, 646–656.CrossRef Moosavi, V., Talebi, A., & Shirmohammadi, B. (2014). Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method. Geomorphology, 204, 646–656.CrossRef
Zurück zum Zitat Murillo-García, F. G., Alcántara-Ayala, I., Ardizzone, F., Cardinali, M., Fiourucci, F., & Guzzetti, F. (2015). Satellite stereoscopic pair images of very high resolution: A step forward for the development of landslide inventories. Landslides, 12(2), 277–291.CrossRef Murillo-García, F. G., Alcántara-Ayala, I., Ardizzone, F., Cardinali, M., Fiourucci, F., & Guzzetti, F. (2015). Satellite stereoscopic pair images of very high resolution: A step forward for the development of landslide inventories. Landslides, 12(2), 277–291.CrossRef
Zurück zum Zitat Nandi, A., & Shakoor, A. (2010). A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology, 110(1), 11–20.CrossRef Nandi, A., & Shakoor, A. (2010). A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology, 110(1), 11–20.CrossRef
Zurück zum Zitat Pal, M. (2005). Random forest classifier for remote sensing classification. International Journal of Remote Sensing, 26(1), 217–222.CrossRef Pal, M. (2005). Random forest classifier for remote sensing classification. International Journal of Remote Sensing, 26(1), 217–222.CrossRef
Zurück zum Zitat Rau, J.-Y., Jhan, J.-P., & Rau, R.-J. (2014). Semiautomatic object-oriented landslide recognition scheme from multisensor optical imagery and DEM. IEEE Transactions on Geoscience and Remote Sensing, 52(2), 1336–1349.CrossRef Rau, J.-Y., Jhan, J.-P., & Rau, R.-J. (2014). Semiautomatic object-oriented landslide recognition scheme from multisensor optical imagery and DEM. IEEE Transactions on Geoscience and Remote Sensing, 52(2), 1336–1349.CrossRef
Zurück zum Zitat Saeidi, V., Pradhan, B., Idrees, M. O., & Latif, Z. A. (2014). Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster-Shafer theory. IEEE Transactions on Geoscience and Remote Sensing, 52(10), 6017–6025.CrossRef Saeidi, V., Pradhan, B., Idrees, M. O., & Latif, Z. A. (2014). Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster-Shafer theory. IEEE Transactions on Geoscience and Remote Sensing, 52(10), 6017–6025.CrossRef
Zurück zum Zitat Singh, L. P., Van Westen, C., Ray, P. C., & Pasquali, P. (2005). Accuracy assessment of InSAR derived input maps for landslide susceptibility analysis: A case study from the Swiss Alps. Landslides, 2(3), 221–228.CrossRef Singh, L. P., Van Westen, C., Ray, P. C., & Pasquali, P. (2005). Accuracy assessment of InSAR derived input maps for landslide susceptibility analysis: A case study from the Swiss Alps. Landslides, 2(3), 221–228.CrossRef
Zurück zum Zitat Slatton, K. C., Carter, W. E., Shrestha, R. L., & Dietrich, W. (2007). Airborne laser swath mapping: Achieving the resolution and accuracy required for geosurficial research. Geophysical Research Letters, 34(23). Slatton, K. C., Carter, W. E., Shrestha, R. L., & Dietrich, W. (2007). Airborne laser swath mapping: Achieving the resolution and accuracy required for geosurficial research. Geophysical Research Letters, 34(23).
Zurück zum Zitat Strobl, C., Boulesteix, A.-L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics, 8(1), 1.CrossRef Strobl, C., Boulesteix, A.-L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics, 8(1), 1.CrossRef
Zurück zum Zitat Van Coillie, F., Lievens, H., Joos, I., Pizurica, A., Verbeke, L., De Wulf, R., et al. (2011). Training neural networks on artificially generated data: A novel approach to SAR speckle removal. International Journal of Remote Sensing, 32(12), 3405–3425.CrossRef Van Coillie, F., Lievens, H., Joos, I., Pizurica, A., Verbeke, L., De Wulf, R., et al. (2011). Training neural networks on artificially generated data: A novel approach to SAR speckle removal. International Journal of Remote Sensing, 32(12), 3405–3425.CrossRef
Zurück zum Zitat Van Coillie, F. M., Verbeke, L. P., & De Wulf, R. R. (2007). Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium. Remote Sensing of Environment, 110(4), 476–487.CrossRef Van Coillie, F. M., Verbeke, L. P., & De Wulf, R. R. (2007). Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium. Remote Sensing of Environment, 110(4), 476–487.CrossRef
Zurück zum Zitat Van Den Eeckhaut, M., & Hervás, J. (2012). State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk. Geomorphology, 139, 545–558.CrossRef Van Den Eeckhaut, M., & Hervás, J. (2012). State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk. Geomorphology, 139, 545–558.CrossRef
Zurück zum Zitat Wang, F., Hasbani, J.-G., Wang, X., & Marceau, D. J. (2011). Identifying dominant factors for the calibration of a land-use cellular automata model using rough set theory. Computers, Environment and Urban Systems, 35(2), 116–125.CrossRef Wang, F., Hasbani, J.-G., Wang, X., & Marceau, D. J. (2011). Identifying dominant factors for the calibration of a land-use cellular automata model using rough set theory. Computers, Environment and Urban Systems, 35(2), 116–125.CrossRef
Zurück zum Zitat Yusof, N. M., Pradhan, B., Shafri, H. Z. M., Jebur, M. N., & Yusoff, Z. (2015). Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data. Arabian Journal of Geosciences, 8(11), 9789–9800.CrossRef Yusof, N. M., Pradhan, B., Shafri, H. Z. M., Jebur, M. N., & Yusoff, Z. (2015). Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data. Arabian Journal of Geosciences, 8(11), 9789–9800.CrossRef
Zurück zum Zitat Zhang, L., & Gruen, A. (2006). Multi-image matching for DSM generation from IKONOS imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 60(3), 195–211.CrossRef Zhang, L., & Gruen, A. (2006). Multi-image matching for DSM generation from IKONOS imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 60(3), 195–211.CrossRef
Metadaten
Titel
Integration of LiDAR and QuickBird Data for Automatic Landslide Detection Using Object-Based Analysis and Random Forests
verfasst von
Biswajeet Pradhan
Maher Ibrahim Seeni
Haleh Nampak
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-55342-9_4