Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles

2021 ◽  
Vol 90 ◽  
pp. 101692
Author(s):  
Daniel Trevisan Bravo ◽  
Gustavo Araujo Lima ◽  
Wonder Alexandre Luz Alves ◽  
Vitor Pessoa Colombo ◽  
Luc Djogbénou ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Automatic Detection ◽  
Aerial Images ◽  
Breeding Sites ◽  
Aerial Vehicles ◽  
Mosquito Breeding

scholarly journals Choice of unmanned aerial vehicles for identification of mosquito breeding sites

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Franciely Velozo Aragão ◽  
Fernanda Cavicchioli Zola ◽  
Luis Henrique Nogueira Marinho ◽  
Daiane Maria De Genaro Chiroli ◽  
Aldo Braghini Junior ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Urban Areas ◽  
High Mobility ◽  
World Health ◽  
Breeding Sites ◽  
Manual Search ◽  
Aerial Vehicles ◽  
The World ◽  
Mosquito Breeding ◽  
Health Organization

The disordered urban growth that may favour the emergence of the Aedes aegypti mosquito in cities is a problem of increasing magnitude in middle- and high-income countries in the tropical part of the world. Currently, the World Health Organization (WHO) considers the control and elimination of Ae. aegypti a world-wide high priority as it is the main vector of many rapidly spreading viral diseases, dengue in particular. A major difficulty in controlling the proliferation of this vector is associated with identification of the breeding sites. The use of Unmanned Aerial Vehicles (UAVs) can be an efficient alternative to manual search because of high mobility and the ability to overcome physical obstacles, particularly in urban areas where it can offer close-up images of potential breeding sites that are difficult to reach. The objective of this study was to find a way to select the most suitable UAV for the identification of Ae. aegypti habitats by providing images of potential mosquito breeding sites. This can be accomplished by a Multiple-Criteria Decision Method (MCDM) based on an Analytical Hierarchy Process (AHP) for the evaluation of weights of the criteria used for characterizing UAVs. The alternatives were analyzed and ranked using the Fuzzy Set Theory (FST) merged with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The methodology is explained and discussed with respect to identification and selection of the most appropriate UAV for aerial mapping of Aedes breeding sites.

scholarly journals Identifying Potential Mosquito Breeding Grounds: Assessing the Efficiency of UAV Technology in Public Health

Robotics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 91
Author(s):  
Jared Schenkel ◽  
Paul Taele ◽  
Daniel Goldberg ◽  
Jennifer Horney ◽  
Tracy Hammond
Keyword(s):  
Form Factor ◽  
Unmanned Aerial Vehicles ◽  
Ground Truth ◽  
Gps Receivers ◽  
Aerial Vehicles ◽  
Breeding Grounds ◽  
Aerial Vehicle ◽  
Mosquito Breeding ◽  
Small Form Factor ◽  
Local Transmission

Human ecology has played an essential role in the spread of mosquito-borne diseases. With standing water as a significant factor contributing to mosquito breeding, artificial containers disposed of as trash—which are capable of holding standing water—provide suitable environments for mosquito larvae to develop. The development of these larvae further contributes to the possibility for local transmission of mosquito-borne diseases in urban areas such as Zika virus. One potential solution to address this issue involves leveraging unmanned aerial vehicles that are already systematically becoming more utilized in the field of geospatial technology. With higher pixel resolution in comparison to satellite imagery, as well as having the ability to update spatial data more frequently, we are interested in investigating the feasibility of unmanned aerial vehicles as a potential technology for efficiently mapping potential breeding grounds. Therefore, we conducted a comparative study that evaluated the performance of an unmanned aerial vehicle for identifying artificial containers to that of conventionally utilized GPS receivers. The study was designed to better inform researchers on the current viability of such devices for locating a potential factor (i.e., small form factor artificial containers that can host mosquito breeding grounds) in the local transmission of mosquito-borne diseases. By assessing the performance of an unmanned aerial vehicle against ground-truth global position system technology, we can determine the effectiveness of unmanned aerial vehicles on this problem through our selected metrics of: timeliness, sensitivity, and specificity. For the study, we investigated these effectiveness metrics between the two technologies of interest in surveying a study area: unmanned aerial vehicles (i.e., DJI Phantom 3 Standard) and global position system-based receivers (i.e., Garmin GPSMAP 76Cx and the Garmin GPSMAP 78). We first conducted a design study with nine external participants, who collected 678 waypoint data and 214 aerial images from commercial GPS receivers and UAV, respectively. The participants then processed these data with professional mapping software for visually identifying and spatially marking artificial containers between the aerial imagery and the ground truth GPS data, respectively. From applying statistical methods (i.e., two-tailed, paired t-test) on the participants’ data for comparing how the two technologies performed against each other, our data analysis revealed that the GPS method performed better than the UAV method for the study task of identifying the target small form factor artificial containers.

scholarly journals Estimation of aboveground biomass using aerial photogrammetry from unmanned aerial vehicle in teak (Tectona grandis) plantation in Thailand

2020 ◽  
Vol 21 (6) ◽  
Author(s):  
SASIWIMOL RINNAMANG ◽  
KAMPANART SIRIRUEANG ◽  
SORAVIS SUPAVETCH ◽  
PONTHEP MEUNPONG
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aboveground Biomass ◽  
Tree Height ◽  
Tectona Grandis ◽  
Aerial Images ◽  
P Value ◽  
Total Biomass ◽  
Aerial Photogrammetry ◽  
Aerial Vehicles ◽  
Ground Truthing

Abstract. Rinnamang S, Sirirueang K, Supavetch S, Meunpong P. 2020. Estimation of aboveground biomass using aerial photogrammetry from unmanned aerial vehicles in teak (Tectona grandis) plantation in Thailand. Biodiversitas 21: 2369-2376. Thailand is one of the best teak planting locations in the world. Teak is one of the most species planting and a significant source of high-value timber in Thailand. For plantation management, biomass is one of the important factors while determining the production of a plantation and also for sustainable forest management. Unmanned Aerial Vehicles (UAV) have the ability to produce 3D RGB digital images which can be used to study the plantation characteristics. This study aimed to use aerial images and photogrammetry techniques derived from unmanned aerial vehicles (UAV) to estimate teak biomass in Thong Pha Phum plantation, Kanchanaburi Province, Thailand. We conducted our study on 15-and 36-year-old teak stands, and compared the tree dimension between data obtained from field measurement and that from aerial images and photogrammetry techniques. In the 15-year-old stand, the average tree height estimated from the UAV and ground-truthing were 12.34 and 13.06 m, respectively. In the 36-year-old stand, the average tree height from the UAV and ground-truthing were 28.87 and 29.39 m, respectively. We found that in both stands, the difference between data generated from the UAV and ground-truthing data was not significant (p-value = 0.07 and 0.306, respectively). There was also a strong correspondence between tree height estimated from the UAV and that measured on the ground which is indicated by the high R2 (i.e. 0.70 and 0.64 for the 15-and 36-year-old stands, respectively). Using UAV generated data, the total biomass of 15-and 36-year-old stands was estimated to be around 42.07 t ha-1 and 67.13 t ha-1, respectively. The overall results suggest that UAV can be used as an effective tool to survey and monitor stand’s productivity in teak plantation.

scholarly journals Graphic Applications of Unmanned Aerial Vehicles (UAVs) in the Study of Industrial Heritage Assets

2020 ◽  
Vol 10 (24) ◽  
pp. 8821
Author(s):  
Sergio Martín-Béjar ◽  
Juan Claver ◽  
Miguel A. Sebastián ◽  
Lorenzo Sevilla
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Sugar Cane ◽  
Irrigation Water ◽  
Aerial Images ◽  
Indirect Measurements ◽  
Industrial Heritage ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Water Pond ◽  
Conventional Systems

As a typology of cultural heritage, a wide range of singularities must to be taken into account when analysing industrial heritage assets. Graphical resources have been usually employed in heritage assets research. Nowadays, Unmanned Aerial Vehicles (UAVs) offer the possibility to obtain images of complex and difficult access areas that cannot be observed on the ground. Furthermore, aerial images allow to analyse heritage assets as a whole. Therefore, in this work, different photographs and videos has been carried out in the San Joaquin sugar cane factory and in the Aguila aqueduct, located in Nerja (Spain). These images have been used to analyse both assets as a set. Different indirect measurements on the factory chimney and irrigation water pond were taken. A Strengths, Weaknesses, Opportunities, and Threats (SWOT) about the use of UAV graphic applications in heritage assets was developed. Finally, the possibilities of conventional photograph technologies and UAV application were compared. Using UAVs allows more image acquisition possibilities than conventional systems. However, both technologies can be complemented and applied together when analysing heritage assets.

A system for automatic detection of potential landing sites for horizontally landing unmanned aerial vehicles

2018 ◽  
Author(s):  
Jakub Rosner ◽  
Damian Pęszor ◽  
Marcin Paszkuta ◽  
Kamil Wereszczyński ◽  
Konrad Wojciechowski ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Automatic Detection ◽  
Aerial Vehicles ◽  
Landing Sites

The nested k-means method: A new approach for detecting lost persons in aerial images acquired by unmanned aerial vehicles

2017 ◽  
Vol 34 (8) ◽  
pp. 1395-1406 ◽  
Author(s):  
Tomasz Niedzielski ◽  
Mirosława Jurecka ◽  
Magdalena Stec ◽  
Małgorzata Wieczorek ◽  
Bartłomiej Miziński
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Images ◽  
New Approach ◽  
Aerial Vehicles

scholarly journals Using Unmanned Aerial Vehicles (UAV) for mornitoring the construction progress of Ho Chi Minh City urban railway project

2015 ◽  
Vol 18 (2) ◽  
pp. 104-112
Author(s):  
Nhat Huu Nguyen ◽  
Tam Minh Dao ◽  
Trung Van Le ◽  
Chon Trung Le
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicles ◽  
Aerial Images ◽  
3D Objects ◽  
Ground Control Points ◽  
Aerial Vehicles ◽  
High Resolution Imagery ◽  
Gis Data ◽  
High Flexibility ◽  
Railway Construction Project

This paper describes a new approach for monitoring the construction progress of the Urban Railway Construction Project “Metro line1 - Ben Thanh - Suoi Tien” by using Unmanned Aerial Vehicles (UAV) to capture high resolution imagery at different stages of the project. The advantage of the AscTec Falcon 8 systems lies in their high flexibility and efficiency in capturing the surface of an area from a low flight altitude. In addition, further information such as orthoimages, elevation models and 3D objects can easily be processed by Pix4Dmapper software. The Ground Control Points (GCPs) and GIS data were used to compare the achieved accuracy of UAV method. This study shows the feasibility of using an UAV system for acquiring the high resolution aerial images and the new opportunities for managing construction progress over time.

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