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Title:Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional features
Authors:ID Missarov, Azim (Author)
ID Kašpar, Jakub (Author)
ID Král, Kamil (Author)
ID Brovkina, O. (Author)
ID Švik, M. (Author)
Files:.pdf PDF - Presentation file, download (887,12 KB)
MD5: E6245D6091FD8F42AB9B5821015807CA
 
Language:English
Typology:1.12 - Published Scientific Conference Contribution Abstract
Organization:Logo SciVie - Slovenian Forestry Institute
Keywords:gross primary product, regression model, remote sensing, temperature, precipitation, digital elevation model
Publication status:Published
Publication version:Version of Record
Year of publishing:2024
Number of pages:Str. 67-71
PID:20.500.12556/DiRROS-20304 New window
UDC:630*1
DOI:10.20315/SilvaSlovenica.0026.12 New window
COBISS.SI-ID:206182147 New window
Publication date in DiRROS:03.09.2024
Views:275
Downloads:63
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Record is a part of a monograph

Title:Predicting future trends - responses of beech and fir in the Carpathian region : international conference
Editors:Matjaž Čater, Eva Dařenová
Place of publishing:Ljubljana
Publisher:Slovenian Forestry Institute, The Silva Slovenica Publishing Centre
Year of publishing:2024
ISBN:978-961-6993-87-6
COBISS.SI-ID:204285187 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:daljinsko zaznavanje, bruto primarni proizvod, regresijski model, temperatura, padavine, digitalni model višin


Collection

This document is a part of these collections:
  1. Predicting future trends - responses of beech and fir in the Carpathian region

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