The use of UAV platforms for remote sensing applications: case studies in Cyprus

Themistocleous, Kyriacos

doi:10.1117/12.2069514

Cited by 16 publications

(13 citation statements)

References 13 publications

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“…In this study, we used two UAVs: A Parrot Bluegrass quadcopter with a Parrot Sequoia+ multispectral sensor (Figure 2a); the sensor has four separated bands including, Green (550 nm), Red (660 nm), Red Edge (735 nm), and Near infrared (790 nm), and a DJI Phantom 4 Pro quadcopter ( Figure 2b) equipped with a stock 1/2.3 inch (1.10 cm) RGB CMOS camera sensor with 12.4 m effective pixels (DJI.com) [23,24]. A series of UAV flights over the study area were conducted on 31 October 2018, 28 February, 5 March, and 9 May 2019.…”

Section: Uav Data Acquisitionmentioning

confidence: 99%

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Yang

Hawthorne

Torres

et al. 2019

Drones

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High resolution mapping of coastal habitats is invaluable for resource inventory, change detection, and inventory of aquaculture applications. However, coastal areas, especially the interior of mangroves, are often difficult to access. An Unmanned Aerial Vehicle (UAV), equipped with a multispectral sensor, affords an opportunity to improve upon satellite imagery for coastal management because of the very high spatial resolution, multispectral capability, and opportunity to collect real-time observations. Despite the recent and rapid development of UAV mapping applications, few articles have quantitatively compared how much improvement there is of UAV multispectral mapping methods compared to more conventional remote sensing data such as satellite imagery. The objective of this paper is to quantitatively demonstrate the improvements of a multispectral UAV mapping technique for higher resolution images used for advanced mapping and assessing coastal land cover. We performed multispectral UAV mapping fieldwork trials over Indian River Lagoon along the central Atlantic coast of Florida. Ground Control Points (GCPs) were collected to generate a rigorous geo-referenced dataset of UAV imagery and support comparison to geo-referenced satellite and aerial imagery. Multi-spectral satellite imagery (Sentinel-2) was also acquired to map land cover for the same region. NDVI and object-oriented classification methods were used for comparison between UAV and satellite mapping capabilities. Compared with aerial images acquired from Florida Department of Environmental Protection, the UAV multi-spectral mapping method used in this study provided advanced information of the physical conditions of the study area, an improved land feature delineation, and a significantly better mapping product than satellite imagery with coarser resolution. The study demonstrates a replicable UAV multi-spectral mapping method useful for study sites that lack high quality data.

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Section: Uav Data Acquisitionmentioning

confidence: 99%

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Yang

Hawthorne

Torres

et al. 2019

Drones

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“…In this way, the UAVs can be combined with field surveys such as the use of ground penetrating radars to identify the geometry and location of the remains, thereby minimizing the amount of fieldwork required at an archaeological site. Additional research will also examine spectral signatures acquired from UAVs fitted with spectroradiometers (Themistocleous, 2014) to identify crop marks in larger areas.…”

Section: Discussionmentioning

confidence: 99%

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

Themistocleous

Αγαπίου

Cuca

et al. 2015

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

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Commission VI, WG VI/4 KEY WORDS: remote sensing archaeology, UAV, ground spectroscopy, crop marks, cultural heritage ABSTRACT:Remote sensing has open up new dimensions in archaeological research. Although there has been significant progress in increasing the resolution of space/aerial sensors and image processing, the detection of the crop (and soil marks) formations, which relate to buried archaeological remains, are difficult to detect since these marks may not be visible in the images if observed over different period or at different spatial/spectral resolution. In order to support the improvement of earth observation remote sensing technologies specifically targeting archaeological research, a better understanding of the crop/soil marks formation needs to be studied in detail. In this paper the contribution of both Unmanned Aerial Systems as well ground spectroradiometers is discussed in a variety of examples applied in the eastern Mediterranean region (Cyprus and Greece) as well in Central Europe (Hungary). In-situ spectroradiometric campaigns can be applied for the removal of atmospheric impact to simultaneous satellite overpass images. In addition, as shown in this paper, the systematic collection of ground truth data prior to the satellite/aerial acquisition can be used to detect the optimum temporal and spectral resolution for the detection of stress vegetation related to buried archaeological remains. Moreover, phenological studies of the crops from the area of interest can be simulated to the potential sensors based on their Relative Response Filters and therefore prepare better the satellite-aerial campaigns. Ground data and the use of Unmanned Aerial Systems (UAS) can provide an increased insight for studying the formation of crop and soil marks. New algorithms such as vegetation indices and linear orthogonal equations for the enhancement of crop marks can be developed based on the specific spectral characteristics of the area. As well, UAS can be used for remote sensing applications in order to document, survey and model cultural heritage and archaeological sites.

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“…The first training module (Figure 2 Drone Basics) included a lecture and a hands-on tutorial with the trainees to introduce basic manipulation, assembly, setup software, and calibration of the quadcopter drone. The DJI Phantom 4 Pro, a popular consumer-level system with a stock 1/2.3 inch (1.10 cm) CMOS camera sensor [34,35] retailing for USD 1500-2000 depending on specifications was used for this training. The training included a lecture-based review of the drone, its basic flight manipulation, rules and regulations for drone flights.…”

Section: Drone Basicsmentioning

confidence: 99%

Developing an Introductory UAV/Drone Mapping Training Program for Seagrass Monitoring and Research

Yang

Hawthorne

Hessing‐Lewis³

et al. 2020

Drones

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Unoccupied Aerial Vehicles (UAVs), or drone technologies, with their high spatial resolution, temporal flexibility, and ability to repeat photogrammetry, afford a significant advancement in other remote sensing approaches for coastal mapping, habitat monitoring, and environmental management. However, geographical drone mapping and in situ fieldwork often come with a steep learning curve requiring a background in drone operations, Geographic Information Systems (GIS), remote sensing and related analytical techniques. Such a learning curve can be an obstacle for field implementation for researchers, community organizations and citizen scientists wishing to include introductory drone operations into their work. In this study, we develop a comprehensive drone training program for research partners and community members to use cost-effective, consumer-quality drones to engage in introductory drone mapping of coastal seagrass monitoring sites along the west coast of North America. As a first step toward a longer-term Public Participation GIS process in the study area, the training program includes lessons for beginner drone users related to flying drones, autonomous route planning and mapping, field safety, GIS analysis, image correction and processing, and Federal Aviation Administration (FAA) certification and regulations. Training our research partners and students, who are in most cases novice users, is the first step in a larger process to increase participation in a broader project for seagrass monitoring in our case study. While our training program originated in the United States, we discuss our experiences for research partners and communities around the globe to become more confident in introductory drone operations for basic science. In particular, our work targets novice users without a strong background in geographic research or remote sensing. Such training provides technical guidance on the implementation of a drone mapping program for coastal research, and synthesizes our approaches to provide broad guidance for using drones in support of a developing Public Participation GIS process.

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The use of UAV platforms for remote sensing applications: case studies in Cyprus

Cited by 16 publications

References 13 publications

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

Developing an Introductory UAV/Drone Mapping Training Program for Seagrass Monitoring and Research

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