scholarly journals Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection

2017 ◽  
Vol 9 (11) ◽  
pp. 1130 ◽  
Author(s):  
Gilad Weil ◽  
Itamar Lensky ◽  
Yehezkel Resheff ◽  
Noam Levin
Keyword(s):  
Feature Selection ◽  
Unmanned Aerial Vehicle ◽  
Image Acquisition ◽  
Woody Vegetation ◽  
Aerial Vehicle ◽  
Vegetation Species

Assessment of Photogrammetric Micro Fixed-Wing Unmanned Aerial Vehicle (UAV) System For Image Acquisition of Coastal Area

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Norhadija Darwin ◽  
Anuar Ahmad ◽  
Zulkarnaini Mat Amin ◽  
Othman Zainon
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicle ◽  
Coastal Area ◽  
Image Acquisition ◽  
Digital Camera ◽  
Image Resolution ◽  
Aerial Images ◽  
Conjugate Points ◽  
Coastal Mapping ◽  
Aerial Vehicle

Fast image acquisition is the most important part for societal impact of a developing country. This paper aims to demonstrate the potential use of micro fixed wing unmanned aerial vehicle (UAV) system attached with high resolution digital camera for coastal mapping. In this study, six strips of aerial images of coastal area was captured using a high resolution compact digital camera known as Canon Power Shot SX230 HS and it has 12 megapixel image resolution. From the aerial images, photogrammetric image processing method is completed to produce mapping outputs such a digital elevation model (DEM) and orthophoto. For accuracy assessment, the coordinates of the selected points in the 3D of stereomodel were compared to the conjugate points observed using GPS and the root mean square error (RMSE) is computed. From this study, the results showed that the achievable RMSE are ± 0.018m, ± 0.013m and ± 0.034m for coordinates X, Y and Z respectively. It will anticipate that the UAV will be used for coastal survey and improve current method of producing with low cost, fast and good accuracy. Finally, the UAV has shown great potential to be used for coastal mapping that require accurate results or products using high resolution camera. 

A Prototype of Unmanned Aerial Vehicle for Image Acquisition

2012 ◽  
pp. 87-94 ◽  
Author(s):  
Paweł Iwaneczko ◽  
Karol Jędrasiak ◽  
Krzysztof Daniec ◽  
Aleksander Nawrat
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Image Acquisition ◽  
Aerial Vehicle

scholarly journals Surf Zone Mapping Using Multirotor Unmanned Aerial Vehicle Imagery

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Norhalim Che Mat ◽  
Khairul Nizam Tahar
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Surf Zone ◽  
Monsoon Season ◽  
Image Acquisition ◽  
Accurate Solution ◽  
Advanced Technology ◽  
Breaking Wave ◽  
Surface Mapping ◽  
Aerial Vehicle ◽  
Elevation Model

Surf zone is a sand area that stretches inside a breaking wave to limit the rise and fall of waves on the beach. Advanced technology in the geomatics field offers a fast and accurate solution to produce surf zone maps. The demand for surf zone map is increasing during the monsoon season, especially at coastal areas. Nowadays, the Unmanned Aerial Vehicle (UAV) or drone has become popular platform in the geospatial and surveying field. The aim of this study is to produce surf zone 3D surface mapping by using a multirotor Unmanned Aerial Vehicle. There are four phases in this study which are image acquisition, UAV image processing, photogrammetric results, and analysis. The image acquisition was solely obtained using a multirotor UAV based on the photogrammetric concept. The acquired UAV images were processed using commercial software with a specific workflow. Photogrammetric products such as digital elevation model, orthophoto, contour, and surf map zone were produced. The analyses of these results were conducted based on different epochs on the selected months. The accuracy for northing, easting, and height coordinates was 1.026m, 0.838m, and 0.419m, respectively. It can be concluded that the UAV was able to produce a surf zone map with reliable accuracy. This platform is very useful for fast decision making, especially during disaster incidents.

scholarly journals Species Monitoring Using Unmanned Aerial Vehicle to Reveal the Ecological Role of Plateau Pika in Maintaining Vegetation Diversity on the Northeastern Qinghai-Tibetan Plateau

2020 ◽  
Vol 12 (15) ◽  
pp. 2480 ◽  
Author(s):  
Yu Qin ◽  
Yi Sun ◽  
Wei Zhang ◽  
Yan Qin ◽  
Jianjun Chen ◽  
...  
Keyword(s):  
Species Diversity ◽  
Species Composition ◽  
Unmanned Aerial Vehicle ◽  
Density Level ◽  
Alpine Grasslands ◽  
Plateau Pika ◽  
Vegetation Diversity ◽  
Aerial Vehicle ◽  
Vegetation Species

Plateau pika (Ochotona curzoniae, hereafter pika) is considered to exert a profound impact on vegetation species diversity of alpine grasslands. Great efforts have been made at mound or quadrat scales; nevertheless, there is still controversy about the effect of pika. It is vital to monitor vegetation species composition in natural heterogeneous ecosystems at a large scale to accurately evaluate the real role of pika. In this study, we performed field survey at 55 alpine grassland sites across the Shule River Basin using combined methods of aerial photographing using an unmanned aerial vehicle (UAV) and traditional ground measurement. Based on our UAV operation system, Fragmentation Monitoring and Analysis with aerial Photography (FragMAP), aerial images were acquired. Plot-scale vegetation species were visually identified, and total pika burrow exits were automatically retrieved using the self-developed image processing software. We found that there were significant linear relationships between the vegetation species diversity indexes obtained by these two methods. Additionally, the total number of identified species by the UAV method was 71, which was higher than the Quadrat method recognition, with the quantity of 63. Our results indicate that the UAV was suitable for long-term repeated monitoring vegetation species composition of multiple alpine grasslands at plot scale. With the merits of UAV, it confirmed that pika’s disturbance belonged to the medium level, with the density ranging from 30.17 to 65.53 ha−1. Under this density level, pika had a positive effect on vegetation species diversity, particularly for the species richness of sedge and forb. These findings conclude that the UAV was an efficient and economic tool for species monitoring to reveal the role of pika in the alpine grasslands.

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