Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Richard Azu Crabbe"'
Autor:
Michael Gbenga Ogungbuyi, Juan P. Guerschman, Andrew M. Fischer, Richard Azu Crabbe, Caroline Mohammed, Peter Scarth, Phil Tickle, Jason Whitehead, Matthew Tom Harrison
Publikováno v:
Land, Vol 12, Iss 6, p 1142 (2023)
The emergence of cloud computing, big data analytics, and machine learning has catalysed the use of remote sensing technologies to enable more timely management of sustainability indicators, given the uncertainty of future climate conditions. Here, w
Externí odkaz:
https://doaj.org/article/fad0a5eb91384edca1960410f218118e
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 872 (2019)
Knowledge of the aboveground biomass (AGB) of large pasture fields is invaluable as it assists graziers to set stocking rate. In this preliminary evaluation, we investigated the response of Sentinel-1 (S1) Synthetic Aperture Radar (SAR) data to bioph
Externí odkaz:
https://doaj.org/article/7c89a10928054217804e3f376ae293bc
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 253 (2019)
In livestock grazing environments, the knowledge of C3/C4 species composition of a pasture field is invaluable, since such information assists graziers in making decisions around fertilizer application and stocking rates. The general aim of this rese
Externí odkaz:
https://doaj.org/article/3f871c075caa494dae84c5252d44baf1
Autor:
Michael Gbenga Ogungbuyi, Juan Pablo Guerschman, Andrew Martin Fischer, Richard Azu Crabbe, Caroline Mohammed, Peter Scarth, Phil Tickle, Jason Whitehead, Matthew Tom Harrison
The emergence of cloud computing, big data analytics, and machine learning has catalysed the use of remote sensing technologies to enable more timely land management of sustainability indicators such as ground cover and grassland biomass, given the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681ce2204d09fc939d11aae25675f890
https://doi.org/10.20944/preprints202304.1131.v1
https://doi.org/10.20944/preprints202304.1131.v1
Publikováno v:
Weather and Climate Extremes. 35:100420
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e651fb2af82278c4481dc6f4114631
https://doi.org/10.1016/j.wace.2022.100420
https://doi.org/10.1016/j.wace.2022.100420
Publikováno v:
Silva Fennica. 52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4594892f66d71e2557272f0515fea7d
https://doi.org/10.14214/sf.9927
https://doi.org/10.14214/sf.9927