Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bozydar Neroj"'
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2753 (2021)
Highly accurate and extensive datasets are needed for the practical implementation of precision forestry as a method of forest ecosystem management. Proper processing of huge datasets involves the necessity of the appropriate selection of methods for
Externí odkaz:
https://doaj.org/article/ccaee3fd9f2d4c52b0d40ee87e71cce0
Autor:
Maciej Pach, Gabriela Jamnická, Andrew Weatherall, Roberto Tognetti, Bozydar Neroj, Jerzy Lesinski, Yusuf Serengil, Euan Bowditch, L'. Ditmarová, Murat Sarginci, Gert-Jan Nabuurs, Giovanni Santopuoli, Nicola La Porta, Violeta Velikova, Pietro Panzacchi, Christian Temperli, Franz Binder
Publikováno v:
Climate-Smart Forestry in Mountain Regions ISBN: 9783030807665
Climate-Smart Forestry (CSF) is a developing concept to help policymakers and practitioners develop focused forestry governance and management to adapt to and mitigate climate change. Within the EU COST Action CA15226, CLIMO (Climate-Smart Forestry i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::638e4a1314e8638f6d3d9ef25738ad45
http://hdl.handle.net/11695/103240
http://hdl.handle.net/11695/103240
Autor:
Jerzy Lesinski, Bozydar Neroj, Christoph Fischer, Matija Klopčič, Sonia Condés, Thomas Gschwantner, Christian Temperli, Giovanni Santopuoli, Roberto Tognetti, Iciar Alberdi, Alessandra Bottero, Michal Bosela, Radoslaw Sroga, Ignacio Barbeito
Publikováno v:
Climate-Smart Forestry in Mountain Regions ISBN: 9783030807665
National Forest Inventory (NFI) data are the main source of information on forest resources at country and subcountry levels. This chapter explores the strengths and limitations of NFI-derived indicators to assess forest development with respect to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233c3de24e9bdff0adbda9d8028c2a93
https://doi.org/10.1007/978-3-030-80767-2_4
https://doi.org/10.1007/978-3-030-80767-2_4