Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Automated mapping"'
Autor:
Jayakrishnan Ajayakumar, Andrew J. Curtis, Felicien M. Maisha, Sandra Bempah, Afsar Ali, Naveen Kannan, Grace Armstrong, John Glenn Morris
Publikováno v:
International Journal of Health Geographics, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background The creation of relief camps following a disaster, conflict or other form of externality often generates additional health problems. The density of people in a highly stressed environment with questionable safe food and water acce
Externí odkaz:
https://doaj.org/article/9ca74cabc9da428c86cb4ad8a0aabb89
Autor:
Chaabane, Sana1,2 sana.chaabane@gmail.com, Jaziri, Wassim1,3 jaziri.wassim@gmail.com
Publikováno v:
Journal of Geographical Systems. Jan2018, Vol. 20 Issue 1, p85-105. 21p. 4 Color Photographs, 6 Diagrams, 3 Charts, 1 Graph.
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18939-18948 (2024)
Remote sensing data are valuable for detecting, mapping, and managing invasive weed species. This article introduces an innovative algorithm for mapping Siam weed infestations using a bounding box approach from a deep learning object detection model.
Externí odkaz:
https://doaj.org/article/5489ad2f2e52481aadf812b3c70110c3
Publikováno v:
Applied Computing and Geosciences, Vol 21, Iss , Pp 100150- (2024)
Inland water bodies play a vital role at all scales in the terrestrial water balance and Earth’s climate variability. Thus, an inventory of inland waters is crucially important for hydrologic and ecological studies and management. Therefore, the ma
Externí odkaz:
https://doaj.org/article/9792b0314b6f46fa9126c3a9fdf38fa2
Publikováno v:
Archaeological Prospection. Jan2015, Vol. 22 Issue 1, p45-62. 18p.
Autor:
Michel E. D. Chaves, Anderson R. Soares, Guilherme A. V. Mataveli, Alber H. Sánchez, Ieda D. Sanches
Publikováno v:
Automation, Vol 4, Iss 1, Pp 94-109 (2023)
Land use and land cover (LULC) mapping initiatives are essential to support decision making related to the implementation of different policies. There is a need for timely and accurate LULC maps. However, building them is challenging. LULC changes af
Externí odkaz:
https://doaj.org/article/fcb398ae7df1475889c9d80c55bdbf16
Publikováno v:
IEEE Access, Vol 11, Pp 30324-30339 (2023)
The ability to perform automated conversions between different data formats is key to achieving interoperability between heterogeneous systems. Conversions require the definition of mappings between concepts of separate data specifications, which is
Externí odkaz:
https://doaj.org/article/890dd3b7dec34a7b9183834a8d1f9cf0
Akademický článek
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Akademický článek
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Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5137 (2023)
Landslides are among the most frequent hazards in Latin America and the world. In Brazil, they occur every year and cause economic and social loss. Landslide inventories are essential for assessing susceptibility, vulnerability, and risk. Over the de
Externí odkaz:
https://doaj.org/article/e4f2dc6a6c964cc7b2286a066b4e4afc