UAV remote sensing capability for precision agriculture, forestry and small natural reservation monitoring

Šedina, Jaroslav; Pavelka, Karel; Raeva, P.

doi:10.1117/12.2267858

Cited by 9 publications

(10 citation statements)

References 15 publications

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“…The results from this study confirm that UAS-based DAP has potential to produce accurate DTMs in low vegetation cover forests that are comparable to conventional ALS acquisitions. As opposed to traditional methods of acquiring imagery from manned aircraft, a forest manager using UAS has precision control of where and when imagery is acquired on their land base, as well as the ability to tune acquisition parameters, such as spatial resolution, to best meet management needs [18,61,62]. Until the relatively recent emergence of commercially available high-performance UAS, the ability to acquire user defined datasets at ultra-fine scales was economically and logistically challenging, limiting multi-date acquisitions.…”

Section: Discussionmentioning

confidence: 99%

Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models

et al. 2018

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Digital aerial photogrammetry (DAP) and unmanned aerial systems (UAS) have emerged as synergistic technologies capable of enhancing forest inventory information. A known limitation of DAP technology is its ability to derive terrain surfaces in areas with moderate to high vegetation coverage. In this study, we sought to investigate the influence of flight acquisition timing on the accuracy and coverage of digital terrain models (DTM) in a low cover forest area in New Brunswick, Canada. To do so, a multi-temporal UAS-acquired DAP data set was used. Acquired imagery was photogrammetrically processed to produce high quality DAP point clouds, from which DTMs were derived. Individual DTMs were evaluated for error using an airborne laser scanning (ALS)-derived DTM as a reference. Unobstructed road areas were used to validate DAP DTM error. Generalized additive mixed models (GAMM) were generated to assess the significance of acquisition timing on mean vegetation cover, DTM error, and proportional DAP coverage. GAMM models for mean vegetation cover and DTM error were found to be significantly influenced by acquisition date. A best available terrain pixel (BATP) compositing exercise was conducted to generate a best possible UAS DAP-derived DTM and outline the importance of flight acquisition timing. The BATP DTM yielded a mean error of −0.01 m. This study helps to show that the timing of DAP acquisitions can influence the accuracy and coverage of DTMs in low cover vegetation areas. These findings provide insight to improve future data set quality and provide a means for managers to cost-effectively derive high accuracy terrain models post-management activity.

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Section: Discussionmentioning

confidence: 99%

Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models

et al. 2018

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“…Currently, precision agriculture research using remotely sensed data can help N fertilizing strategies (Sharma and Bali, 2018;Colaço and Bramley, 2018), plant protection managements (Mahlein et al, 2012;Sedina et al, 2017), biomass estimations (Teixeira et al, 2019;Togeiro de Alckmin et al, 2020); and to retrieve physical (Ballabio et al, 2016), biological (Yigini and Panagos, 2016), and chemical (Ballabio et al, 2019) properties of soils. However, there are still lacks of remote sensing studies for corn WP modelling at the level of precision agriculture in Brazil, with few ones done at irrigation pivot parcels with Landsat 8 images at spatial resolutions ranging from 30 to 120 m (Teixeira et al, 2014b;Venancio et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

SAFER applications for water productivity assessments with aerial camera onboard a remotely piloted aircraft (RPA). A rainfed corn study in Northeast Brazil

Teixeira

Pacheco

Silva

et al. 2021

Remote Sensing Applications: Society and Environment

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“…They can be also used to reconstruct remote places such as cliffs or gorges [12], impossible to be reconstructed from a terrestrial point of view. Proof of its worth is its widespread use in diverse fields such as agriculture [13] or cultural heritage (CH) [6,14] and even at institutional level for the creation of promotional videos or graphical documents of elements or places of cultural interest [15]. However, it is still a solution that offers restrictions in many cases.…”

Section: Introductionmentioning

confidence: 99%

“…Figure13. 3D SDI showing the orthophoto of the "Cueva Pintada" and points that link to information about the different assets and documentation plans found (right); and an example of the linked data (left): existing analog plan of the site with details of different elements found, the delimitation of the structure (in red) and the lighting infrastructure (in blue).…”

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confidence: 99%

Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”

et al. 2020

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Close-range photogrammetry is a powerful and widely used technique for 3D reconstruction of archaeological environments, specifically when a high-level detail is required. This paper presents an innovative low-cost system that allows high quality and detailed reconstructions of indoor complex scenarios with unfavorable lighting conditions by means of close-range nadir and oblique images as an alternative to drone acquisitions for those places where the use of drones is limited or discouraged: (i) indoor scenarios in which both loss of GNSS signal and need of long exposure times occur, (ii) scenarios with risk of raising dust in suspension due to the proximity to the ground and (iii) complex scenarios with variability in the presence of nooks and vertical elements of different heights. The low-altitude aerial view reached with this system allows high-quality 3D documentation of complex scenarios helped by its ergonomic design, self-stability, lightness, and flexibility of handling. In addition, its interchangeable and remote-control support allows to board different sensors and perform both acquisitions that follow the ideal photogrammetric epipolar geometry but also acquisitions with geometry variations that favor a more complete and reliable reconstruction by avoiding occlusions. This versatile pole photogrammetry system has been successfully used to 3D reconstruct and document the “Cueva Pintada” archaeological site located in Gran Canaria (Spain), of approximately 5400 m2 with a Canon EOS 5D MARK II SLR digital camera. As final products: (i) a great quality photorealistic 3D model of 1.47 mm resolution and ±8.4 mm accuracy, (ii) detailed orthophotos of the main assets of the archaeological remains and (iii) a visor 3D with associated information on the structures, materials and plans of the site were obtained.

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UAV remote sensing capability for precision agriculture, forestry and small natural reservation monitoring

Cited by 9 publications

References 15 publications

Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models

Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models

SAFER applications for water productivity assessments with aerial camera onboard a remotely piloted aircraft (RPA). A rainfed corn study in Northeast Brazil

Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”

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