Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones

Rouze, Gregory; Neely, Haly L.; Morgan, Cristine L.S.; Kustas, William P.; Wiethorn, Matt

doi:10.1007/s11119-021-09816-9

Cited by 6 publications

(2 citation statements)

References 66 publications

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“…Furthermore, drones equipped with optical and thermal cameras are increasingly used in environmental surveys. The applications of these sensors on drones are available for the detection of peat fires [26], wildlife detections and monitoring [27,28], building audits, forest monitoring [29], agriculture parameters estimations [30], etc. Due to the general low resolution of thermal images, thermal and optical images can be combined to generate higher-resolution and high-quality thermal mapping models [31,32].…”

Section: Of 22mentioning

confidence: 99%

High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy

Fabris,

Balin,

Monego

2023

Remote Sensing

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High-resolution coastline detection and monitoring are challenging on a global scale, especially in flat areas where natural events, sea level rise, and anthropic activities constantly modify the coastal environment. While the coastline related to the 0-level contour line can be extracted from accurate Digital Terrain Models (DTMs), the detection of the real-time, instantaneous coastline, especially at low tide, is a challenge that warrants further study and evaluation. In order to investigate an efficient combination of methods that allows to contribute to the knowledge in this field, this work uses topographic total station measurements, Global Navigation Satellite System Real-Time Kinematic (GNSS RTK) technique, and the Structure from Motion (SfM) approach (using a low-cost drone equipped with optical and thermal cameras). All the data were acquired at the beginning of 2022 and refer to the areas of Boccasette and Barricata, in the Po River Delta (Northeastern of Italy). The real-time coastline obtained from the GNSS data was validated using the topographic total station measurements; the correspondent polylines obtained from the photogrammetric data (using both automatic extraction and manual restitutions by visual inspection of orhophotos) were compared with the GNSS data to evaluate the performances of the different techniques. The results provided good agreement between the real-time coastlines obtained from different approaches. However, using the optical images, the accuracy was strictly connected with the radiometric changes in the photos and using thermal images, both manual and automatic polylines provided differences in the order of 1–2 m. Multi-temporal comparison of the 0-level coastline with those obtained from a LiDAR survey performed in 2018 provided the detection of the erosion and accretion areas in the period 2018–2022. The investigation on the two case studies showed a better accuracy of the GNSS RTK method in the real-time coastline detection. It can be considered as reliable ground-truth reference for the evaluation of the photogrammetric coastlines. While GNSS RTK proved to be more productive and efficient, optical and thermal SfM provided better results in terms of morphological completeness of the data.

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Section: Of 22mentioning

confidence: 99%

High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy

Fabris,

Balin,

Monego

2023

Remote Sensing

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“…Nevertheless, the boom of unmanned aerial vehicle (UAV s ) in the last years with the consequent improvement of spatial resolution, has increased the interest of researchers to use this type of platforms for ET c determination and precision irrigation (Liang et al, 2021, Riveros-Burgos et al, 2021. On the contrary, thermal images obtained from on-ground, UAV or airborne are generally used for determining crop water status (Ben-Gal et al, 2009;Cohen et al, 2012), delineating crop management zones (Cohen et al, 2017;Rouze et al, 2021) and identifying and quantifying pest diseases (Zarco-Tejada et al, 2018;Poblete et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Influence of short-term surface temperature dynamics on tree orchards energy balance fluxes

et al. 2022

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Land surface temperature (LST) plays an essential role in developing and applying precision agriculture protocols, especially for calculating crop evapotranspiration (ETc) by surface energy balance (SEB) approaches; and for determining crop water status. However, LST is quite dependent on the meteorological conditions, which can rapidly vary. This variability, together with the limited meterological data acquisition frequency in most weather stations, can lead to the miscalculation of the SEB components, especially relevant when used for irrigation purposes.The present study assessed the temporal dynamic of LST in a very short period of time (20-minutes) through the acquisition of multiple thermal imagery. Additionally, a combination of SEB approach with Eddy Covariance technique was performed for quantifying the effect that LST variations have on the sensible (H) and latent (LE) heat fluxes.Even under steady meteorological conditions, temporal variations in LST of 3.5 and 4.0 K were observed for tree canopy and sunny bare soil surfaces, respectively. These LST oscillations reached values of about 7.8 and 17.9 K for tree canopies and bare soil when heterogeneous meteorological conditions were observed (i.e. cloud presence). Such LST differences translated into H and LE differences of about 26 and 19%, respectively; with variations up to 5 (for H) and 2.7 times (for LE) under fast-varying meteorological conditions.The obtained results suggest the necessity of acquiring thermal imagery when steady meteorological conditions exist or, otherwise, ensuring the collection of instantaneous meteorological data for applying post-processing corrections. This is of importance when incorporating the obtained ETc maps into precision irrigation protocols.

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Application of unmanned aerial systems to address real-world issues in precision agriculture

Ivošević,

Kostić,

Ljubičić

et al. 2023

Unmanned Aerial Systems in Agriculture

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Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones

Cited by 6 publications

References 66 publications

High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy

High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy

Influence of short-term surface temperature dynamics on tree orchards energy balance fluxes

Application of unmanned aerial systems to address real-world issues in precision agriculture

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