Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Giles M Foody"'
Autor:
Giles M Foody
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0291908 (2023)
The accuracy of a classification is fundamental to its interpretation, use and ultimately decision making. Unfortunately, the apparent accuracy assessed can differ greatly from the true accuracy. Mis-estimation of classification accuracy metrics and
Externí odkaz:
https://doaj.org/article/5e457df2f15d479f87c97d196b84c60c
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
Autor:
Pu Zhou, Xiaodong Li, Giles M. Foody, Doreen S. Boyd, Xia Wang, Feng Ling, Yihang Zhang, Yalan Wang, Yun Du
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f4ef6137c0bbd04247b863c623d6d28
https://doi.org/10.1109/lgrs.2023.3234306
https://doi.org/10.1109/lgrs.2023.3234306
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:
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
Autor:
Geertje M. F. Heijden, Ashley D. C. Proctor, Kim Calders, Chris J. Chandler, Richard Field, Giles M. Foody, Sruthi M. Krishna Moorthy, Stefan A. Schnitzer, Catherine E. Waite, Doreen S. Boyd
Publikováno v:
JOURNAL OF ECOLOGY
Lianas (woody vines) are abundant and diverse, particularly in tropical ecosystems. Lianas use trees for structural support to reach the forest canopy, often putting leaves above their host tree. Thus they are major parts of many forest canopies. Yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a122a21cda9982f010e2328a0dd95c58
https://doi.org/10.1111/1365-2745.13844
https://doi.org/10.1111/1365-2745.13844
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