Lake imaging and monitoring aerial drone

Liardon, Jean-Luc; Hostettler, Lukas; Zulliger, Ludovic; Kangur, Külli; Shaik, Nawaaz Gujja; Barry, David Andrew

doi:10.1016/j.ohx.2017.10.003

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…The package included a FLIR Tau2 LWIR camera (640 × 512 pixel resolution, 14‐bit digital output) and a RGB Raspberry Pi camera (used for visual inspection and verification), as well as equipment for its position (GPS), orientation, tilt angles (inertial measurement unit), height, and communication with the boat. Unlike other aerial systems such as aircraft or drones, the BLIMP system is less affected by vibration and tilting, as we confirmed by comparing BLIMP images with those obtained with a custom‐made autonomous drone (Liardon et al, ).…”

Section: Methodssupporting

confidence: 76%

Surface Water Temperature Heterogeneity at Subpixel Satellite Scales and Its Effect on the Surface Cooling Estimates of a Large Lake: Airborne Remote Sensing Results From Lake Geneva

2019

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The dynamics of spatial heterogeneity of lake surface water temperature (LSWT) at subpixel satellite scale O(1 m) and its effect on the surface cooling estimation at typical satellite pixel areas O(1 km 2 ) were investigated using an airborne platform. The measurements provide maps that revealed spatial LSWT variability with unprecedented detail. The cold season data did not show significant LSWT heterogeneity and hence no surface cooling spatial variability. However, based on three selected daytime subpixel-scale maps, LSWT patterns showed a variability of >2°C in the spring and >3.5°C in the summer, corresponding to a spatial surface cooling range of >20 and >40 W/m 2 , respectively. Due to the nonlinear relationship between turbulent surface heat fluxes and LSWT, negatively skewed LSWT distributions resulted in negatively skewed surface cooling patterns under very stable or predominantly unstable atmospheric boundary layer (ABL) conditions and positively skewed surface cooling patterns under predominantly stable ABL conditions. Implementing a mean spatial filter, the effect of area-averaged LSWT on the surface cooling estimation up to a typical satellite pixel was assessed. The effect of the averaging filter size on the mean spatial surface cooling values was negligible, except for predominantly stable ABL conditions. In that situation, a reduction of~3.5 W/m 2 was obtained when moving from high O(1 m) to low O(1 km) pixel resolution.Plain Language Summary Lake surface water temperature (LSWT) is one of the main parameters required for estimating surface cooling at the air-water interface and is also essential for understanding other processes (such as ecosystem dynamics, climate change, and numerical weather prediction) in lakes. Usually, surface cooling is determined from in situ point measurements or satellite images. Satellite thermal images resolve surface areas with a typical pixel resolution of O(1 km). Therefore, satellite data can depict large-scale thermal patterns. But can LSWT spatial variability be significant at subpixel satellite resolution over a large lake? What is the effect of such variability on area-averaged surface cooling estimates? To address these questions, a measurement system, including a balloon-launched airborne platform for thermography and a catamaran for in situ measurements along predefined tracks, was used for LSWT mapping and calibration. Surface cooling patterns were then estimated using a calibrated bulk model. Results showed insignificant LSWT heterogeneity and hence no surface cooling spatial variability during the cold seasons. However, a notable spatial variability of >2°C and > 3.5°C was found in spring and summer, respectively. The effect of LSWT heterogeneity on surface cooling variability was significant, in particular, when air-water temperature differences were close to 0.

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Section: Methodssupporting

confidence: 76%

Surface Water Temperature Heterogeneity at Subpixel Satellite Scales and Its Effect on the Surface Cooling Estimates of a Large Lake: Airborne Remote Sensing Results From Lake Geneva

2019

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“…In Zanzibar, drones have been used to spray rice fields with a thin, non-toxic film as a strategy to eliminate mosquitoes. The review has shown that drones are a possible solution in malaria control programmes as also indicated in other studies [45,46]. The review also showed that rapid diagnostics tools offer fast turnaround services while circumventing obstacles faced when using microscopy in peripheral health care settings, including cost of equipment, reagents, and the need for electricity and skilled personnel [47].…”

Section: Discussionmentioning

confidence: 81%

Leveraging innovation technologies to respond to malaria: a systematized literature review of emerging technologies

Chibi

William

Ngongoni

et al. 2023

Malar J

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Background In 2019, an estimated 409,000 people died of malaria and most of them were young children in sub-Saharan Africa. In a bid to combat malaria epidemics, several technological innovations that have contributed significantly to malaria response have been developed across the world. This paper presents a systematized review and identifies key technological innovations that have been developed worldwide targeting different areas of the malaria response, which include surveillance, microplanning, prevention, diagnosis and management. Methods A systematized literature review which involved a structured search of the malaria technological innovations followed by a quantitative and narrative description and synthesis of the innovations was carried out. The malaria technological innovations were electronically retrieved from scientific databases that include PubMed, Google Scholar, Scopus, IEEE and Science Direct. Additional innovations were found across grey sources such as the Google Play Store, Apple App Store and cooperate websites. This was done using keywords pertaining to different malaria response areas combined with the words “innovation or technology” in a search query. The search was conducted between July 2021 and December 2021. Drugs, vaccines, social programmes, and apps in non-English were excluded. The quality of technological innovations included was based on reported impact and an exclusion criterion set by the authors. Results Out of over 1000 malaria innovations and programmes, only 650 key malaria technological innovations were considered for further review. There were web-based innovations (34%), mobile-based applications (28%), diagnostic tools and devices (25%), and drone-based technologies (13%. Discussion and conclusion This study was undertaken to unveil impactful and contextually relevant malaria innovations that can be adapted in Africa. This was in response to the existing knowledge gap about the comprehensive technological landscape for malaria response. The paper provides information that countries and key malaria control stakeholders can leverage with regards to adopting some of these technologies as part of the malaria response in their respective countries. The paper has also highlighted key drivers including infrastructural requirements to foster development and scaling up of innovations. In order to stimulate development of innovations in Africa, countries should prioritize investment in infrastructure for information and communication technologies and also drone technologies. These should be accompanied by the right policies and incentive frameworks.

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“…These devices are known to use a processor board to control the camera and provide real-time surveillance. In terms of actual products DJI drones are quite famous for aerial photography and specially designed cameras for drones - GoPro cameras [15] , [26] also can transmit and stream live video. Ultimately, the decision came down to going for a camera that is cost-effective and gives a decent enough performance for real-time video transmission which the Raspberry Pi camera is capable of.…”

Section: Hardware In Contextmentioning

confidence: 99%

Multipurpose deep learning-powered UAV for forest fire prevention and emergency response

Rathod,

Patil,

Harikrishnan

et al. 2023

HardwareX

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Lake imaging and monitoring aerial drone

Cited by 11 publications

References 28 publications

Surface Water Temperature Heterogeneity at Subpixel Satellite Scales and Its Effect on the Surface Cooling Estimates of a Large Lake: Airborne Remote Sensing Results From Lake Geneva

Surface Water Temperature Heterogeneity at Subpixel Satellite Scales and Its Effect on the Surface Cooling Estimates of a Large Lake: Airborne Remote Sensing Results From Lake Geneva

Leveraging innovation technologies to respond to malaria: a systematized literature review of emerging technologies

Multipurpose deep learning-powered UAV for forest fire prevention and emergency response

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