Multiscale Landforms Classification Based on UAV Datasets

Doumit, Jean A.

doi:10.22158/se.v3n2p128

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…A key parameter to increase spatial coverage during a UAV survey is the flight altitude. Higher flight altitudes make it possible to cover larger areas over the same time period , but at the cost of a coarser spatial resolution and accuracy in the final DSM (Leitao et al, 2016;Doumit, 2018;Doumit and Pogorelov 2018).…”

Section: Introductionmentioning

confidence: 99%

Impact of Flight Altitude on Unmanned Aerial Photogrammetric Survey of the Snow Height on Mount Lebanon

Chakra

Somma²,

Gascoin³

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In Lebanon, the seasonal snowpack is poorly monitored despite its importance for water resource supply. The snow accumulates on Mount Lebanon in karstic depressions named “sinkholes.” It is important to monitor the evolution of the snow height inside those “sinkholes”, because of their key role as “containers” for seasonal snow. UAV photogrammetry is a major technological breakthrough which allows an accurate monitoring of the snow height. Because the impact of flight parameters on snow height retrievals is not well documented yet, this research aims to evaluate the impact of UAV flight altitude on the resolution and accuracy of the resulting orthomosaic and DSM. The flight missions were done using the Phantom DJI which generated five DSMs. These are validated using total station measurements.The results indicate that the snow DSMs can be retrieved by adopting a resolution of 8 to 84 cm, a point density between 1.43 and 153 points/sqm and a RMSE of 13 to 41 cm. The testing was done using an elevation varying between 50 and 500 m. The results will be compared to total station observations. These results allow the user to choose the suitable flight altitude for required resolution and points density. We suggest that a flight altitude of 100 m is sufficient for the survey of the snow cover elevation.

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Section: Introductionmentioning

confidence: 99%

Impact of Flight Altitude on Unmanned Aerial Photogrammetric Survey of the Snow Height on Mount Lebanon

Chakra

Somma²,

Gascoin³

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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show abstract

“…In geomorphology, a topographic position might be described by topographic indices, which compare the elevation of central pixel to elevations within the local neighbourhood, defined by window size [82]. These metrics are typically used for landform classification [83][84][85][86], but they deal with the same issue as this study-distinguishing positive landforms from negative or sandbars from troughs. The most applied metric of local topographic position is the Topographic Position Index (TPI), in marine geomorphology referred to as the Bathymetric Position Index (BPI) [87].…”

Section: Generation Of Inputs For Sandbar and Sandbar Crest Extractionmentioning

confidence: 99%

A Novel GIS-Based Approach for Automated Detection of Nearshore Sandbar Morphological Characteristics in Optical Satellite Imagery

et al. 2021

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Satellite remote sensing is a valuable tool for coastal management, enabling the possibility to repeatedly observe nearshore sandbars. However, a lack of methodological approaches for sandbar detection prevents the wider use of satellite data in sandbar studies. In this paper, a novel fully automated approach to extract nearshore sandbars in high–medium-resolution satellite imagery using a GIS-based algorithm is proposed. The method is composed of a multi-step workflow providing a wide range of data with morphological nearshore characteristics, which include nearshore local relief, extracted sandbars, their crests and shoreline. The proposed processing chain involves a combination of spectral indices, ISODATA unsupervised classification, multi-scale Relative Bathymetric Position Index (RBPI), criteria-based selection operations, spatial statistics and filtering. The algorithm has been tested with 145 dates of PlanetScope and RapidEye imagery using a case study of the complex multiple sandbar system on the Curonian Spit coast, Baltic Sea. The comparison of results against 4 years of in situ bathymetric surveys shows a strong agreement between measured and derived sandbar crest positions (R2 = 0.999 and 0.997) with an average RMSE of 5.8 and 7 m for PlanetScope and RapidEye sensors, respectively. The accuracy of the proposed approach implies its feasibility to study inter-annual and seasonal sandbar behaviour and short-term changes related to high-impact events. Algorithm-provided outputs enable the possibility to evaluate a range of sandbar characteristics such as distance from shoreline, length, width, count or shape at a relevant spatiotemporal scale. The design of the method determines its compatibility with most sandbar morphologies and suitability to other sandy nearshores. Tests of the described technique with Sentinel-2 MSI and Landsat-8 OLI data show that it can be applied to publicly available medium resolution satellite imagery of other sensors.

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A simplified structure-from-motion photogrammetry approach for urban development analysis

Iheaturu

Okolie

Ayodele

et al. 2022

Remote Sensing Applications: Society and Environment

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Multiscale Landforms Classification Based on UAV Datasets

Abstract: The advance uses of Unmanned Aerial Vehicles (UAV)

Cited by 4 publications

References 9 publications

Impact of Flight Altitude on Unmanned Aerial Photogrammetric Survey of the Snow Height on Mount Lebanon

Impact of Flight Altitude on Unmanned Aerial Photogrammetric Survey of the Snow Height on Mount Lebanon

A Novel GIS-Based Approach for Automated Detection of Nearshore Sandbar Morphological Characteristics in Optical Satellite Imagery

A simplified structure-from-motion photogrammetry approach for urban development analysis

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