Zobrazeno 1 - 10
of 2 332
pro vyhledávání: '"aerial imagery"'
Autor:
Vikneswaran Jeya Kumaran, Nur Adibah Mohidem, Nik Norasma Che’Ya, Wan Fazilah Fazlil Ilahi, Jasmin Arif Shah, Zulhilmy Sahwee, Norhakim Yusof, Mohammad Husni Omar
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 628-636 (2024)
There is very little to no literature on the use of geotagging to monitor crops from aerial photos, even though many technologies have been created to do so. Current crop monitoring methods, relying on field data and lab analysis, are inefficient due
Externí odkaz:
https://doaj.org/article/d47150e215c14c2481347432418815e3
Autor:
Kostrzewa Adam
Publikováno v:
Reports on Geodesy and Geoinformatics, Vol 118, Iss 1, Pp 1-16 (2024)
Poland as well as other countries keep extensive collections of 20th and 21st-century aerial photos, which are underexploited compared to such other archival materials as satellite imagery. Meanwhile, they offer significant research potential in vari
Externí odkaz:
https://doaj.org/article/10f9bc003ebb4e458d7e692d7aa08317
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103950- (2024)
Accurate extraction of landslide information is crucial for timely disaster emergency response, yet this process faces significant challenges due to the interference of bare land and vegetation cover as well as the variability in landslide scales. Fu
Externí odkaz:
https://doaj.org/article/00db850161914f6c9158e585440b2429
Autor:
Prabhu Jayagopal, Kumar Purushothaman Janaki, Prakash Mohan, Upendra Babu Kondapaneni, Jayalakshmi Periyasamy, Sandeep Kumar Mathivanan, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Our environment has been significantly impacted by climate change. According to previous research, insect catastrophes induced by global climate change killed many trees, inevitably contributing to forest fires. The condition of the forest i
Externí odkaz:
https://doaj.org/article/cf329aadc39f48b39b1dbeba3859658e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12153-12168 (2024)
Semantic segmentation using cross-modal data is a hot topic in the field of Earth observation. Compared with single-modal strategies, cross-modal networks fuse multiaspect information and yield higher segmentation accuracy, which is widely used in ur
Externí odkaz:
https://doaj.org/article/393a338334fe45aeb51a855a8a604dfe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11352-11364 (2024)
Deep learning has been the state-of-the-art solution to numerous remote sensing tasks, especially for building extraction. However, the performance of learning-based building extraction approaches depend to a large extent on the similarity of the sou
Externí odkaz:
https://doaj.org/article/816cd9822d9e4768abe2baeba8ccfa4d
Autor:
Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5668-5679 (2024)
Many areas of the world are without basic information on the socioeconomic well-being of the residing population due to limitations in existing data collection methods. Overhead images obtained remotely, such as from satellite or aircraft, can help s
Externí odkaz:
https://doaj.org/article/cb1e829b75bb462caa9c9400c75f8c84
Publikováno v:
Wildlife Society Bulletin, Vol 48, Iss 2, Pp n/a-n/a (2024)
Abstract The muskrat (Ondatra zibethicus) is considered a ubiquitous inhabitant of wetlands across Canada and the United States, but recent studies indicate that muskrat populations in many parts of North America have experienced substantial declines
Externí odkaz:
https://doaj.org/article/152c5686dc0b44d28ecbd59b48974aeb
Autor:
Jonathan Ventura, Camille Pawlak, Milo Honsberger, Cameron Gonsalves, Julian Rice, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103848- (2024)
Systematic maps of urban forests are useful for regional planners and ecologists to understand the spatial distribution of trees in cities. However, manually-created urban forest inventories are expensive and time-consuming to create and typically do
Externí odkaz:
https://doaj.org/article/73eb96e0e4214bc9b510f0b51f854545
Autor:
Diogo Nunes Gonçalves, José Marcato Junior, Mauro dos Santos de Arruda, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Lucio André de Castro Jorge, Jonathan Li, Farid Melgani, Hemerson Pistori, Wesley Nunes Gonçalves
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31730- (2024)
Identifying plantation lines in aerial images of agricultural landscapes is re-quired for many automatic farming processes. Deep learning-based networks are among the most prominent methods to learn such patterns and extract this type of information
Externí odkaz:
https://doaj.org/article/0b48a64d1da542c2a75b433202b35452