Zobrazeno 1 - 10
of 57
pro vyhledávání: '"vegetation status"'
Publikováno v:
Sensors, Vol 23, Iss 20, p 8452 (2023)
Vegetation plays a fundamental role within terrestrial ecosystems, serving as a cornerstone of their functionality. Presently, these crucial ecosystems face a myriad of threats, including deforestation, overgrazing, wildfires, and the impact of clima
Externí odkaz:
https://doaj.org/article/06b8838746434b66a2ac3eaac10e50e0
Autor:
Tamás János, Kiss Nikolett Éva, Riczu Péter, Gálya Bernadett, Budayné-Bódi Erika, Gross Miklós, Nagy Attila
Publikováno v:
Natural Resources and Sustainable Development, Vol 9, Iss 2, Pp 106-112 (2019)
Precision farming technologies increasingly appear in the livestock sector. The most precision animal husbandry innovations are in the precision breeding and nutrition, but nowadays, different robots (e.g. robotic milking systems, robotic barn cleane
Externí odkaz:
https://doaj.org/article/8f5d51628d584177854876dceb57e066
Autor:
Manish Mathur, S. Sundaramoorthy
Publikováno v:
Ecological Processes, Vol 7, Iss 1, Pp 1-15 (2018)
Abstract Background Appraisal of arid land status is very crucial one to know the extent and factors associated with their degradation. Previous studies from arid regions are mostly qualitative in nature (indicator assessment like good, moderate, sev
Externí odkaz:
https://doaj.org/article/05252b7b0eea4a6690e5eecad6646d9f
Publikováno v:
Remote Sensing
Volume 15
Issue 3
Pages: 638
Volume 15
Issue 3
Pages: 638
In this paper, we propose a processing chain jointly employing Sentinel-1 and Sentinel-2 data, aiming to monitor changes in the status of the vegetation cover by integrating the four 10 m visible and near-infrared (VNIR) bands with the three red-edge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb08bdc6e9f6336133bae5d58411c10
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3371 (2021)
Water availability for vegetation use has been associated with the relative amount of water in the plant and is a key factor for modeling variables related to the soil-plant system (e.g., net primary production, drought effects on vegetation). To the
Externí odkaz:
https://doaj.org/article/72732a08207b4065b3a8c716d7648b7e
Publikováno v:
Sustainability; Volume 15; Issue 8; Pages: 6661
The changing climate in recent decades has caused rapid, widespread frozen ground degradation of the cryosphere, and changes in frozen ground may largely affect the ecosystem function. This study presents the long-term shrinkage of frozen ground, dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::352245dca91609d4eb2afd8eaaf33c1a
Publikováno v:
Image and Signal Processing for Remote Sensing XXVIII.
In this paper, we propose a processing chain jointly employing Sentinel-1 and Sentinel-2 data aimed at monitoring changes in the status of the vegetation cover by integrating the four visible and near infrared (VNIR) bands with the three red-edge (RE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32590ec6cc847140b594a6f714ddea1d
https://doi.org/10.1117/12.2638984
https://doi.org/10.1117/12.2638984
Autor:
Fernandes, Pedro Luis Pires
Dissertation presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and Science Este trabalho concentra num documento as partes principais da pesquisa, construção e justificação de um dos novos prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1437::116219d4ab42397cb28628ab5eef8e66
https://hdl.handle.net/10362/147705
https://hdl.handle.net/10362/147705
Publikováno v:
Remote Sensing, Vol 6, Iss 12, Pp 12247-12274 (2014)
The machine learning method, random forest (RF), is applied in order to derive biophysical and structural vegetation parameters from hyperspectral signatures. Hyperspectral data are, among other things, characterized by their high dimensionality and
Externí odkaz:
https://doaj.org/article/2721dfa472b64a59a5aacfc4950229eb
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