Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Giles M. Foody"'
Autor:
Giles M. Foody
Publikováno v:
Geomatics, Vol 4, Iss 1, Pp 81-90 (2024)
The ground reference dataset used in the assessment of classification accuracy is typically assumed implicitly to be perfect (i.e., 100% correct and representing ground truth). Rarely is this assumption valid, and errors in the ground dataset can cau
Externí odkaz:
https://doaj.org/article/e42f64417d184eac803dfeeb0ede9284
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3938 (2024)
Ecological environmental protection and poverty alleviation are of great significance for the study of human–land relationship coordination and sustainable development, and they have also been a focus of attention in China in the past few decades.
Externí odkaz:
https://doaj.org/article/35158fe3461a4450b8f58978d71991d8
Autor:
Chris J. Chandler, Silvia Valery Ávila-Mosqueda, Evelyn Raquel Salas-Acosta, Eden Magaña-Gallegos, Edgar Escalante Mancera, Miguel Angel Gómez Reali, Betsabé de la Barreda-Bautista, Doreen S. Boyd, Sarah E. Metcalfe, Sofie Sjogersten, Brigitta van Tussenbroek, Rodolfo Silva, Giles M. Foody
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4336 (2023)
The bloom of pelagic Sargassum in the Atlantic Ocean has become increasingly problematic, especially when the algae have beached. A build-up of decaying beached material has damaging effects on coastal ecosystems and tourism industries. While remote
Externí odkaz:
https://doaj.org/article/c66e1929e05441d3a35c01d9adac9231
Autor:
Chris J. Chandler, Geertje M. F. van der Heijden, Doreen S. Boyd, Mark E. J. Cutler, Hugo Costa, Reuben Nilus, Giles M. Foody
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 3, Pp 397-410 (2021)
Abstract The ability to accurately assess liana (woody vine) infestation at the landscape level is essential to quantify their impact on carbon dynamics and help inform targeted forest management and conservation action. Remote sensing techniques pro
Externí odkaz:
https://doaj.org/article/83875b43278b46d59968f8ac30f34174
Autor:
Hannes Feilhauer, András Zlinszky, Adam Kania, Giles M. Foody, Daniel Doktor, Angela Lausch, Sebastian Schmidtlein
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 2, Pp 292-305 (2021)
Abstract Mapping vegetation as hard classes based on remote sensing data is a frequently applied approach, even though this crisp, categorical representation is not in line with nature's fuzziness. Gradual transitions in plant species composition in
Externí odkaz:
https://doaj.org/article/30544a1db57d48c2b963691d347a70c7
Autor:
Doreen S. Boyd, Bertrand Perrat, Xiaodong Li, Bethany Jackson, Todd Landman, Feng Ling, Kevin Bales, Austin Choi-Fitzpatrick, James Goulding, Stuart Marsh, Giles M. Foody
Publikováno v:
Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-14 (2021)
Abstract This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understand
Externí odkaz:
https://doaj.org/article/702824472f524631970ff485dd5b41d9
Autor:
Giles M. Foody
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5380 (2022)
Ground reference data are typically required to evaluate the quality of a supervised image classification analysis used to produce a thematic map from remotely sensed data. Acquiring a suitable ground data set for a rigorous assessment of classificat
Externí odkaz:
https://doaj.org/article/ef1721e1889e4155b2713c49dc2f5dc9
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2774 (2021)
Lianas (woody vines) play a key role in tropical forest dynamics because of their strong influence on tree growth, mortality and regeneration. Assessing liana infestation over large areas is critical to understand the factors that drive their spatial
Externí odkaz:
https://doaj.org/article/653ecfd618d245d88a78880520dcf19d
Publikováno v:
Land, Vol 10, Iss 1, p 35 (2021)
Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite imagery and other ancillary spatial data. Different analysts in
Externí odkaz:
https://doaj.org/article/ee8d1990676741c9b700c652a42ebee4
Publikováno v:
Data in Brief, Vol 7, Iss , Pp 476-479 (2016)
Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a
Externí odkaz:
https://doaj.org/article/dd97abf8187741f1b132a52d24bf774b