Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1567-2018
https://doi.org/10.5194/nhess-18-1567-2018
Research article
 | 
07 Jun 2018
Research article |  | 07 Jun 2018

Using kites for 3-D mapping of gullies at decimetre-resolution over several square kilometres: a case study on the Kamech catchment, Tunisia

Denis Feurer, Olivier Planchon, Mohamed Amine El Maaoui, Abir Ben Slimane, Mohamed Rached Boussema, Marc Pierrot-Deseilligny, and Damien Raclot

Related authors

LANDSLIDE EVOLUTION PATTERN REVEALED BY MULTI-TEMPORAL DSMS OBTAINED FROM HISTORICAL AERIAL IMAGES
M. Santangelo, L. Zhang, E. Rupnik, M. P. Deseilligny, and M. Cardinali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1085–1092, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022, 2022
EXPLOITING MULTI-CAMERA CONSTRAINTS WITHIN BUNDLE BLOCK ADJUSTMENT: AN EXPERIMENTAL COMPARISON
E. Maset, E. Rupnik, M. Pierrot-Deseilligny, F. Remondino, and A. Fusiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, 2021
A NEW STEREO DENSE MATCHING BENCHMARK DATASET FOR DEEP LEARNING
T. Wu, B. Vallet, M. Pierrot-Deseilligny, and E. Rupnik
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 405–412, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021, 2021
TOWARDS STRUCTURELESS BUNDLE ADJUSTMENT WITH TWO- AND THREE-VIEW STRUCTURE APPROXIMATION
E. Rupnik and M. Pierrot Deseilligny
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 71–78, https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020, 2020
GUIDED FEATURE MATCHING FOR MULTI-EPOCH HISTORICAL IMAGE BLOCKS POSE ESTIMATION
L. Zhang, E. Rupnik, and M. Pierrot-Deseilligny
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 127–134, https://doi.org/10.5194/isprs-annals-V-2-2020-127-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-127-2020, 2020

Related subject area

Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland
Adrian Wicki, Peter Lehmann, Christian Hauck, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 23, 1059–1077, https://doi.org/10.5194/nhess-23-1059-2023,https://doi.org/10.5194/nhess-23-1059-2023, 2023
Short summary
Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning
Anirudh Rao, Jungkyo Jung, Vitor Silva, Giuseppe Molinario, and Sang-Ho Yun
Nat. Hazards Earth Syst. Sci., 23, 789–807, https://doi.org/10.5194/nhess-23-789-2023,https://doi.org/10.5194/nhess-23-789-2023, 2023
Short summary
Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine
Jan Freihardt and Othmar Frey
Nat. Hazards Earth Syst. Sci., 23, 751–770, https://doi.org/10.5194/nhess-23-751-2023,https://doi.org/10.5194/nhess-23-751-2023, 2023
Short summary
Quantifying unequal urban resilience to rainfall across China from location-aware big data
Jiale Qian, Yunyan Du, Jiawei Yi, Fuyuan Liang, Nan Wang, Ting Ma, and Tao Pei
Nat. Hazards Earth Syst. Sci., 23, 317–328, https://doi.org/10.5194/nhess-23-317-2023,https://doi.org/10.5194/nhess-23-317-2023, 2023
Short summary
Comparison of machine learning techniques for reservoir outflow forecasting
Orlando García-Feal, José González-Cao, Diego Fernández-Nóvoa, Gonzalo Astray Dopazo, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3859–3874, https://doi.org/10.5194/nhess-22-3859-2022,https://doi.org/10.5194/nhess-22-3859-2022, 2022
Short summary

Cited articles

Aber, J. S., Marzolff, I., and Ries, J.: Small-format aerial photography: Principles, techniques and geoscience applications, Elsevier, 2010. a, b
Baruch, A. and Filin, S.: Detection of gullies in roughly textured terrain using airborne laser scanning data, ISPRS J. Photogramm., 66, 564–578, 2011. a, b, c, d
Ben Slimane, A.: Rôle de l'érosion ravinaire dans l'envasement des retenues collinaires dans la Dorsale tunisienne et le Cap Bon, Phd thesis, Montpellier SupAgro & INAT, 2013. a
Bryson, M., Duce, S., Harris, D., Webster, J. M., Thompson, A., Vila-Concejo, A., and Williams, S. B.: Geomorphic changes of a coral shingle cay measured using Kite Aerial Photography, Geomorphology, 270, 1–8, 2016. a, b, c
Bryson, M., Johnson-Roberson, M., Murphy, R. J., and Bongiorno, D.: Kite aerial photography for low-cost, ultra-high spatial resolution multi-spectral mapping of intertidal landscapes, PLOS ONE, 8, https://doi.org/10.1371/journal.pone.0073550, 2013. a, b, c, d, e
Download
Short summary
We present a method for acquiring very-high-resolution images for 3-D mapping of gullies over kilometre-square areas using kites. Kites used in appropriate conditions can be an advantageous alternative to light unmanned aircraft when local regulations or weather conditions hamper their use. We proved that kites can acquire images, allowing for high-quality 3-D coverage of large areas. We automatically detected and mapped gullies from a decimetre kite DEM with 74 % accuracy of the length.
Altmetrics
Final-revised paper
Preprint