Zobrazeno 1 - 10
of 538
pro vyhledávání: '"pasture monitoring"'
Autor:
Ogungbuyi, Michael Gbenga1 (AUTHOR) caroline.mohammed@utas.edu.au, Mohammed, Caroline1 (AUTHOR) iffat.ara@utas.edu.au, Ara, Iffat1 (AUTHOR) matthew.harrison@utas.edu.au, Fischer, Andrew M.2 (AUTHOR) andy.fischer@utas.edu.au, Harrison, Matthew Tom1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2023, Vol. 15 Issue 19, p4866. 33p.
Akademický článek
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Autor:
Nickmilder, Charles1 (AUTHOR) charles.nickmilder@uliege.be, Tedde, Anthony1,2 (AUTHOR), Dufrasne, Isabelle3,4 (AUTHOR), Lessire, Françoise3,4 (AUTHOR), Glesner, Noémie5 (AUTHOR), Tychon, Bernard6 (AUTHOR), Bindelle, Jérome1 (AUTHOR), Soyeurt, Hélène1 (AUTHOR)
Publikováno v:
Remote Sensing. Apr2023, Vol. 15 Issue 7, p1890. 23p.
Autor:
Michael Gbenga Ogungbuyi, Caroline Mohammed, Iffat Ara, Andrew M. Fischer, Matthew Tom Harrison
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4866 (2023)
The timely and accurate quantification of grassland biomass is a prerequisite for sustainable grazing management. With advances in artificial intelligence, the launch of new satellites, and perceived efficiency gains in the time and cost of the quant
Externí odkaz:
https://doaj.org/article/0e3fbf9a48c84ae6abf9c10d5134d098
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 533-538 (2021)
The monitoring of managed grasslands with remote sensing methods is becoming more important for spatial decision support. Various remote sensing data acquisition techniques are applied for that purpose in different spatial resolutions ranging from UA
Externí odkaz:
https://doaj.org/article/c376f84a131e4f6da92cace01edb0dd6
Akademický článek
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Autor:
Charles Nickmilder, Anthony Tedde, Isabelle Dufrasne, Françoise Lessire, Noémie Glesner, Bernard Tychon, Jérome Bindelle, Hélène Soyeurt
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1890 (2023)
The use of remote sensing data and the implementation of machine learning (ML) algorithms is growing in pasture management. In this study, ML models predicting the available compressed sward height (CSH) in Walloon pastures based on Sentinel-1, Senti
Externí odkaz:
https://doaj.org/article/5b4c84483f674dee9680f136cba90245
Autor:
Tim Wark, Micah Davies, Chris Crossman, Philip Valencia, Andre Zerger, Rebecca N. Handcock, David L. Gobbett
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 2, Iss 3, Pp 388-408 (2013)
Combining multiple proximal sensors within a wireless sensor network (WSN) enhances our capacity to monitor vegetation, compared to using a single sensor or non-networked setup. Data from sensors with different spatial and temporal characteristics ca
Externí odkaz:
https://doaj.org/article/63d11a82c4b04b43a660cce26bd5c39a
Agricultural remote sensing provides valuable information on various characteristics of vegetation states and processes that cannot be simultaneously surveyed over large areas of the territory or with high frequency. Grasslands are recognized worldwi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23908558776273b4dcd501bd50746260
https://doi.org/10.5194/egusphere-egu23-9795
https://doi.org/10.5194/egusphere-egu23-9795
Conference
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