Zobrazeno 1 - 10
of 446
pro vyhledávání: '"Precision forestry"'
Autor:
Willer Fagundes de Oliveira, Antonio Wilson Vieira, Silvânio Rodrigues dos Santos, Samy Pimenta, Lucas Alves da Silva
Publikováno v:
Scientia Agricola, Vol 81 (2024)
ABSTRACT The management of natural and planted forests can be conducted sustainably by implementing techniques that consider the spatial and temporal variability of the plant and soil. In this context, precision silviculture through remote sensing ca
Externí odkaz:
https://doaj.org/article/4f83093e97054e078531dc8fb17aaa79
Autor:
Gonzalo Gavilán-Acuna, Nicholas C. Coops, Piotr Tompalski, Pablo Mena-Quijada, Andrés Varhola, Dominik Roeser, Guillermo F. Olmedo
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100159- (2024)
While Leaf Area Index (LAI) is critical for understanding forest canopy, photosynthesis and forest growth, traditional field-based LAI measurements are laborious and costly. Remote sensing offers a practical alternative for extensive assessments. Sat
Externí odkaz:
https://doaj.org/article/97293a844be84612bd8ff7056c8f2d8f
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2576 (2024)
Understanding the spatial heterogeneity of forest structure is crucial for comprehending ecosystem dynamics and promoting sustainable forest management. Unmanned aerial vehicle (UAV) LiDAR technology provides a promising method to capture detailed th
Externí odkaz:
https://doaj.org/article/262cc25fbe244125a3dc4a45bf23387f
Autor:
Iván Raigosa-García, Leah C. Rathbun, Rachel L. Cook, Justin S. Baker, Mark V. Corrao, Matthew J. Sumnall
Publikováno v:
Forests, Vol 15, Iss 6, p 1002 (2024)
Optimizing forest plantation management has become imperative due to increasing forest product demand, higher fertilization and management costs, declining land availability, increased competition for land use, and the growing demands for carbon sequ
Externí odkaz:
https://doaj.org/article/62891f1a8292450182985500a71b8d64
Publikováno v:
Forest@, Vol 20, Iss 1, Pp 61-66 (2023)
Ecologically and economically sustainable planning of forest resources requires tools capable of providing estimates with adequate accuracy on volume, biomass and woody increments. Interest in these attributes has increased since the United Nations F
Externí odkaz:
https://doaj.org/article/d119b96567b4489d9753274436fe836e
Autor:
Corona P, Costa C, Barbetti R, Bergante S, Cesaretti L, Chiarabaglio Pier M, Chirici G, Giannetti F, Ferrara C, Gennaro M, Guasti M, Laschi A, Mariotti B, Marra E, Mattioli W, Puletti N, Marchi E
Publikováno v:
Forest@, Vol 20, Iss 1, Pp 52-60 (2023)
The forestry sector in Italy is facing issues related to the need to make the most of environmental, territorial and socio-economic opportunities. The research is called upon to translate technological advances into practical applications, even in th
Externí odkaz:
https://doaj.org/article/c041f298e55848b8900b58dc59854cbc
Autor:
Gonzalo Gavilán-Acuna, Nicholas C. Coops, Guillermo F. Olmedo, Piotr Tompalski, Dominik Roeser, Andrés Varhola
Publikováno v:
Soil Systems, Vol 8, Iss 2, p 55 (2024)
Texture, soil organic matter (SOM), and soil depth (SoD) are crucial properties in forest management because they can supply spatial information on forest site productivity and guide fertilizer applications. However, soil properties possess an inhere
Externí odkaz:
https://doaj.org/article/d79ec6b0478c4f62b6e8222cd0ece9a5
Autor:
Sofia, Serena, Maetzke, Federico Guglielmo, Crescimanno, Maria, Coticchio, Alessandro, La Mela Veca, Donato Salvatore, Galati, Antonino
Publikováno v:
EuroMed Journal of Business, 2022, Vol. 17, Issue 3, pp. 350-373.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EMJB-01-2022-0017
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 148 (2023)
A smart thinning operation refers to an advanced method of selecting and cutting trees to be thinned based on digitally captured forest information. In smart thinning operations, workers use the coordinates of individual trees to navigate to the targ
Externí odkaz:
https://doaj.org/article/4237a5fea829404da5eefa2cf824e915
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