Modelling heights of sparse aquatic reed (Phragmites australis) using Structure from Motion point clouds derived from Rotary- and Fixed-Wing Unmanned Aerial Vehicle (UAV) data

Meneses, Nicolás Corti; Baier, Simon; Reidelstürz, Patrick; Geist, Juergen; Schneider, Thomas

doi:10.1016/j.limno.2018.07.001

Cited by 24 publications

(14 citation statements)

References 43 publications

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“…This task can be completed using RGB/CIR images obtained using UAV. Also wild plants, and not necessarily trees but even herbaceous plants of a proper size, such as Phragmites australis, can be measured using SfM-derived point clouds from UAV (Meneses et al, 2018). Vegetation measurements are possible based on images taken from different angles -oblique photographs.…”

Section: Measuring the Biophysical Parameters Of Vegetationmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Nowak¹,

Dziób²,

Bogawski³

2019

European Journal of Ecology

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Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome. However, obtaining information about the environment is frequently difficult because of, for example, the phenological timing, spatial distribution of a species or limited accessibility of a particular area for the field survey. Moreover, remote sensing technology, which enables the observation of the Earth’s surface and is currently very common in environmental research, has many limitations such as insufficient spatial, spectral and temporal resolution and a high cost of data acquisition. Since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth’s surface. The present study reviews recent scientific literature dealing with the use of UAV in environmental biology. Amongst numerous papers, short communications and conference abstracts, we selected 110 original studies of how UAVs can be used in environmental biology and which organisms can be studied in this manner. Most of these studies concerned the use of UAV to measure the vegetation parameters such as crown height, volume, number of individuals (14 studies) and quantification of the spatio-temporal dynamics of vegetation changes (12 studies). UAVs were also frequently applied to count birds and mammals, especially those living in the water. Generally, the analytical part of the present study was divided into following sections: (1) detecting, assessing and predicting threats on vegetation, (2) measuring the biophysical parameters of vegetation, (3) quantifying the dynamics of changes in plants and habitats and (4) population and behaviour studies of animals. At the end, we also synthesised all the information showing, amongst others, the advances in environmental biology because of UAV application. Considering that 33% of studies found and included in this review were published in 2017 and 2018, it is expected that the number and variety of applications of UAVs in environmental biology will increase in the future.

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Section: Measuring the Biophysical Parameters Of Vegetationmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Nowak¹,

Dziób²,

Bogawski³

2019

European Journal of Ecology

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“…Each single point in clouds has geographic coordinates (x, y, z) and a value for each color channel (Red, Green, Blue). Detailed explanation of UAV platforms and settings for point cloud calculation in Agisoft Photoscan can be found in [18]. Point clouds were generated through the implementation of SfM algorithms in Agisoft Photoscan Professional-Version 1.2.6 [35].…”

Section: Description Of Uav Point Cloudsmentioning

confidence: 99%

“…Field measurements, orthomosaics from RW and FW UAVs, and aerial imagery were used for reference and validating classifications. Field data were generated through field measurements from September 15th in 2015 based on the protocols [17,18]. They consisted of shoreline perpendicular cross-sections, square sample plots, and shoreline and frontline boundaries.…”

Section: Reference and Validation Datamentioning

confidence: 99%

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Quantification of Extent, Density, and Status of Aquatic Reed Beds Using Point Clouds Derived from UAV–RGB Imagery

et al. 2018

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Quantification of reed coverage and vegetation status is fundamental for monitoring and developing lake conservation strategies. The applicability of Unmanned Aerial Vehicles (UAV) three-dimensional data (point clouds) for status evaluation was investigated. This study focused on mapping extent, density, and vegetation status of aquatic reed beds. Point clouds were calculated with Structure from Motion (SfM) algorithms in aerial imagery recorded with Rotary Wing (RW) and Fixed Wing (FW) UAV. Extent was quantified by measuring the surface between frontline and shoreline. Density classification was based on point geometry (height and height variance) in point clouds. Spectral information per point was used for calculating a vegetation index and was used as indicator for vegetation vitality. Status was achieved by combining data on density, vitality, and frontline shape outputs. Field observations in areas of interest (AOI) and optical imagery were used for reference and validation purposes. A root mean square error (RMSE) of 1.58 m to 3.62 m for cross sections from field measurements and classification was achieved for extent map. The overall accuracy (OA) acquired for density classification was 88.6% (Kappa = 0.8). The OA for status classification of 83.3% (Kappa = 0.7) was reached by comparison with field measurements complemented by secondary Red, Green, Blue (RGB) data visual assessments. The research shows that complex transitional zones (water–vegetation–land) can be assessed and support the suitability of the applied method providing new strategies for monitoring aquatic reed bed using low-cost UAV imagery.

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“…In recent years, with the popularization of unmanned aerial vehicle or system (UAV, UAS, or "drone") technology [14][15][16] and the development of Structure-from-Motion (SfM) photogrammetry [17,18], researchers have carried out multiple studies using the images acquired by the consumer-grade cameras carried on UAVs, such as studies on bank erosion [19], coastal monitoring [20,21], biomass estimation [22] and aquatic plant modeling [23]. Over the last decade, low-cost UAVs or drones have proven to be a new and effective tool that can collect high-quality elevation data in inaccessible areas, giving geoscientists a relatively high-resolution insight into geomorphic environments [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Relationships between the Height and Spectrum of Submerged Tufa Barrage Using UAV-Derived Geometric Bathymetry and Digital Orthoimages

Lin

2021

Sensors

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Tufa barrages play an important role in fluviatile tufa ecosystems and sedimentary records. Quantifying the height of tufa barrage is significant for understanding the evolution and development of the Holocene tufa barrage systems. However, for submerged tufa barrages, there is no low-cost non-contact method to retrieve barrage height. Generally, it is difficult to recognize small tufa barrages by means of remotely sensed satellite data, but the combination of unmanned aerial vehicles (UAV) and Structure-from-Motion (SfM) photogrammetry makes it possible. In this study, we used a fixed-wing UAV and a consumer-grade camera to acquire images of the submerged tufa barrage in Lying Dragon Lake, Jiuzhaigou National Nature Reserve, China, and estimated the height of the tufa barrage through UAV-based photogrammetric bathymetry. On this foundation, the relationship between barrage height and its spectrum was established through band ratio analysis using UAV-derived geometric bathymetry and digital orthoimages, which provided an alternative strategy to characterize the height of submerged tufa barrages. However, the spectral characteristics of submerged tufa barrages will oscillate with changes in the environmental conditions. In future research, we will consider using a dedicated aquatic multispectral camera to improve the experimentation.

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Modelling heights of sparse aquatic reed (Phragmites australis) using Structure from Motion point clouds derived from Rotary- and Fixed-Wing Unmanned Aerial Vehicle (UAV) data

Cited by 24 publications

References 43 publications

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Quantification of Extent, Density, and Status of Aquatic Reed Beds Using Point Clouds Derived from UAV–RGB Imagery

Modeling the Relationships between the Height and Spectrum of Submerged Tufa Barrage Using UAV-Derived Geometric Bathymetry and Digital Orthoimages

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