Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of postmining sites in Indonesia

Iizuka, Kotaro; Itoh, Masatoshi; Shiodera, Satomi; Matsubara, Takashi; Dohar, Mark; Watanabe, Kazuo

doi:10.1080/23312041.2018.1498180

Cited by 47 publications

(43 citation statements)

References 28 publications

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“…For UAV-based surface modeling, Agisoft PhotoScan Pro is a proven performer amongst several widely used software packages, such as Erdas-LPS, EyeDEA (University of Parma), Pix4UAV, and PhotoModeler Scanner [81]. Agisoft PhotoScan has been widely used in a variety of environmental research in recent years e.g., [16,[82][83][84].…”

Section: Generation Of Dems and Orthomosaicsmentioning

confidence: 99%

“…Most importantly, the acquisition and operational costs of such automated systems are considerably lower, thereby providing better imaging options to a wide variety of user groups. For these reasons, in recent years a multitude of UAV-based studies have emerged in nearly all natural science domains, such as agriculture e.g., [3][4][5], forestry e.g., [6][7][8][9][10], urban mapping e.g., [11], geomorphology e.g., [12], glaciology e.g., [1], submerged vegetation mapping e.g., [13,14]; physical geography e.g., [15], mine monitoring e.g., [16,17], landscape dynamics e.g., [18], archaeology e.g., [19], bathymetry e.g., [20], and coastal dynamics e.g., [21,22]. An unprecedented growth in computational efficiency in recent years has resulted in several software and hardware packages that are capable of handling vast amounts of UAV data and enabling the processing and generation of precise high-resolution structure-from-motion (SfM)-based digital elevation models (DEMs) and orthomosaics of any terrain [23].…”

Section: Introductionmentioning

confidence: 99%

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UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting

et al. 2019

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Understanding extraterrestrial environments and landforms through remote sensing and terrestrial analogy has gained momentum in recent years due to advances in remote sensing platforms, sensors, and computing efficiency. The seasonal brines of the largest salt plateau on Earth in Salar de Uyuni (Bolivian Altiplano) have been inadequately studied for their localized hydrodynamics and the regolith volume transport across the freshwater-brine mixing zones. These brines have recently been projected as a new analogue site for the proposed Martian brines, such as recurring slope lineae (RSL) and slope streaks. The Martian brines have been postulated to be the result of ongoing deliquescence-based salt-hydrology processes on contemporary Mars, similar to the studied Salar de Uyuni brines. As part of a field-site campaign during the cold and dry season in the latter half of August 2017, we deployed an unmanned aerial vehicle (UAV) at two sites of the Salar de Uyuni to perform detailed terrain mapping and geomorphometry. We generated high-resolution (2 cm/pixel) photogrammetric digital elevation models (DEMs) for observing and quantifying short-term terrain changes within the brines and their surroundings. The achieved co-registration for the temporal DEMs was considerably high, from which precise inferences regarding the terrain dynamics were derived. The observed average rate of bottom surface elevation change for brines was ~1.02 mm/day, with localized signs of erosion and deposition. Additionally, we observed short-term changes in the adjacent geomorphology and salt cracks. We conclude that the transferred regolith volume via such brines can be extremely low, well within the resolution limits of the remote sensors that are currently orbiting Mars, thereby making it difficult to resolve the topographic relief and terrain perturbations that are produced by such flows on Mars. Thus, the absence of observable erosion and deposition features within or around most of the proposed Martian RSL and slope streaks cannot be used to dismiss the possibility of fluidized flow within these features.

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Section: Generation Of Dems and Orthomosaicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting

et al. 2019

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“…UAVs can provide very low elevation and very high-resolution data on demand, of course with respect to limitations given by law regulations and weather conditions (Iizuka et al, 2018;Lejot et al, 2007;Pásler, Komárková and Sedlák, 2015).…”

Section: Unmanned Aerial Vehicles For Monitoringmentioning

confidence: 99%

“…UAVs are increasingly used to monitor smaller areas, e.g. small water bodies (ponds), mainly because of faster data collection, data collection on demand, higher spatial resolution, and lower costs in comparison to aerial imagery collection (Iizuka et al, 2018;Pásler, Komárková and Sedlák, 2015;Salamí, Barrado and Pastor, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spectral Enhancement of Imagery for Small Inland Water Bodies Monitoring: Utilization of UAV-Based Data

Komárková

Čermáková

Sedlák

et al. 2019

J INFORM SYSTEMS ENG

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The article describes a way for identification of land cover types and consequently land cover changes around a small water body, which is based on spectral enhancement of RGB UAV-based data. A middleclass unmanned aerial vehicle (UAV)-DJI Phantom 3 Pro, was used for data collection. UAV represents a cheap and on-demand available solution for remote data sensing. Its utilization is limited by weather conditions and particular legal regulations must be followed. The article is focused on a monitoring of a small water body and its surrounding by spectral enhancement. Spectral indices, which are calculated only from the visible bands, are used to identify particular land cover types: Color Index of Vegetation Extraction (CIVE), Excess Green (ExG), Excess Red (ExR), Green Leaf Index (GLI), Normalized Green-Red Difference Index (NGRDI), Red-Green-Blue Vegetation Index (RGBVI), Visible Atmospherically Resistant Index (VARI), and ExG-ExR difference. Low pass filtering was used for post-processing and results were simply visualised in a form of classified raster (by natural breaks-Jenks). Even this simple spectral enhancement of imagery supports its visual interpretation. Visible spectral indices highlight particular land cover types, namely green vegetation and water surface but other types of land cover can be distinguished as well.

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“…While in-situ instruments are good tools for the acquisition of data of local activity, they often fail to provide the context that is required in order to understand the spatial dimension of a catchment or landscape (Smith and Pain 2009). Satellite imagery on the other hand is able to provide this spatial dimension, but may be very expensive or lack the detail and temporal resolution that is required to analyze at the scale that many soil erosion processes act (Iizuka et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV

Anders¹,

Smith

Suomalainen

et al. 2020

Earth Sci Inform

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Soil erosion, rapid geomorphological change and vegetation degradation are major threats to the human and natural environment. Unmanned Aerial Systems (UAS) can be used as tools to provide detailed and accurate estimations of landscape change. The effect of flight strategy on the accuracy of UAS image data products, typically a digital surface model (DSM) and orthophoto, is unknown. Herein different flying altitudes (126-235 m) and area coverage orientations (N-S and SW-NE) are assessed in a semi-arid and medium-relief area where terraced and abandoned agricultural fields are heavily damaged by piping and gully erosion. The assessment was with respect to cell size, vertical and horizontal accuracy, absolute difference of DSM, and registration of recognizable landscape features. The results show increasing cell size (5-9 cm) with increasing altitude, and differences between elevation values (10-20 cm) for different flight directions. Vertical accuracy ranged 4-7 cm but showed no clear relationship with flight strategy, whilst horizontal error was stable (2-4 cm) for the different orthophotos. In all data sets, geomorphological features such as piping channels, rills and gullies and vegetation patches could be labeled by a technician. Finally, the datasets have been released in a public repository.

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Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of postmining sites in Indonesia

Cited by 47 publications

References 28 publications

UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting

UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting

Spectral Enhancement of Imagery for Small Inland Water Bodies Monitoring: Utilization of UAV-Based Data

Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV

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