Zobrazeno 1 - 10
of 7 486
pro vyhledávání: '"uas"'
Autor:
Mykola Fomin, Yasir Mahmood Amin, Refat Taleb Hussain, Sarah Ghassan Abdulqader, Saad Jabbar Abbas, Doaa Mohammad Majed
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 381-389 (2024)
Background: The fast expansion of unmanned aerial systems (UAS) needs robust, efficient, and dependable communication platforms that can match the capabilities of the most recent technological breakthroughs, such as 5G networks. The launch of the Ard
Externí odkaz:
https://doaj.org/article/336868f62a8c404a9813ae8476eff2d6
Autor:
Hooper, Peter
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 9, pp. 1216-1224.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-04-2023-0111
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1937-1960 (2024)
Bridges are crucial components of infrastructure networks that facilitate national connectivity and development. According to the National Bridge Inventory (NBI) and the Federal Highway Administration (FHWA), the cost to repair U.S. bridges was recen
Externí odkaz:
https://doaj.org/article/b1ae248fa627431380b0ed158d2047af
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103291- (2024)
The behavior of the biophysical components needs to be closely observed while taking seasonal perspectives into account. This study focuses on seasonal analysis of biophysical components and dynamics of land use changes. This study examines the spati
Externí odkaz:
https://doaj.org/article/565a57b42cd1452ea818a0bcaf335c32
Autor:
Brett L. Lawrence, Emerson de Lemmus
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100167- (2024)
The widely adaptable capabilities of artificial intelligence, in particular deep learning and computer vision have led to significant research output regarding flame and smoke detection. The composition of flame and smoke, also described as fire beha
Externí odkaz:
https://doaj.org/article/2f8c028a11934c568ef7db9077704b66
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Deep-learning-based object detection in UAS imagery is crucial for outfall surveys and basin environmental protection. Comprehensive UAS image datasets serve as a foundation for creating deep-learning-based outfall-detection models and evaluating out
Externí odkaz:
https://doaj.org/article/07153d63310345a1b239ed3f6b99e83e
Publikováno v:
Journal of Maps, Vol 20, Iss 1 (2024)
Integration of multi-sensor, multi-platform remotely sensed data is an effective methodology for monitoring active volcanoes as it ensures a constant data flow, which is needed for repeated eruptive events in brief intervals. It allows broad observat
Externí odkaz:
https://doaj.org/article/f9493f8da8b94979afcd2560c0e51bdd
Autor:
Cailian Zhang, Chengwen Song, Aleksandra Zaforemska, Jiaxing Zhang, Rachel Gaulton, Wenxia Dai, Wen Xiao
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTAccurate Individual Tree Segmentation (ITS) is fundamental to fine-scale forest structure and management studies. Light detection and ranging (Lidar) from Unoccupied Aerial Systems (UAS) has shown strengths in ITS and tree parameter estimatio
Externí odkaz:
https://doaj.org/article/5d3e50056d6249ef9d175d6a487fc9b9
Autor:
Michelle Stern, Ryan Ferrell, Lorraine Flint, Melina Kozanitas, David Ackerly, Jack Elston, Maciej Stachura, Eryan Dai, James Thorne
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Soil moisture maps provide quantitative information that, along with climate and energy balance, is critical to integrate with hydrologic processes for characterizing landscape conditions. However, soil moisture maps are difficult to produce for natu
Externí odkaz:
https://doaj.org/article/d76f7e7ee0fd4088b82c3cd6d5ea9659
Autor:
Geng Wang, Nuermaimaitijiang Aierken, Guoqi Chai, Xuanhao Yan, Long Chen, Xiang Jia, Jiahao Wang, Wenyuan Huang, Xiaoli Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104177- (2024)
Pine Wilt Disease (PWD) is a forest infectious disease that inflicts substantial economic losses to China’s forestry. Its rapid spread and the significant challenges associated with its control make early detection of infected trees crucial for dis
Externí odkaz:
https://doaj.org/article/c678fc6fc67e465bb4a1fc4efd186651