Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Steen Magnussen"'
Autor:
Christoph Kleinn, Steen Magnussen, Nils Nölke, Paul Magdon, Juan Gabriel Álvarez-González, Lutz Fehrmann, César Pérez-Cruzado
Publikováno v:
Forest Ecosystems, Vol 7, Iss 1, Pp 1-10 (2020)
Abstract We contrast a new continuous approach (CA) for estimating plot-level above-ground biomass (AGB) in forest inventories with the current approach of estimating AGB exclusively from the tree-level AGB predicted for each tree in a plot, hencefor
Externí odkaz:
https://doaj.org/article/036ca6806fc544f9a1fcfdd5eeec2aea
Autor:
Steen Magnussen, Johannes Breidenbach
Publikováno v:
Journal of Forest Science, Vol 66, Iss 4, Pp 133-149 (2020)
Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data. Many forest inventory sampling designs do not afford a direct esti
Externí odkaz:
https://doaj.org/article/6df63b6aaacb46b88243ef288c71e58a
Autor:
Steen Magnussen, Ronald E. McRoberts, Johannes Breidenbach, Thomas Nord-Larsen, Göran Ståhl, Lutz Fehrmann, Sebastian Schnell
Publikováno v:
Forest Ecosystems, Vol 7, Iss 1, Pp 1-19 (2020)
Abstract Background Large area forest inventories often use regular grids (with a single random start) of sample locations to ensure a uniform sampling intensity across the space of the surveyed populations. A design-unbiased estimator of variance do
Externí odkaz:
https://doaj.org/article/6be2d54b3a884640a5c9d62e1362f418
Autor:
Steen MAGNUSSEN
Publikováno v:
Journal of Forest Science, Vol 64, Iss 12, Pp 497-505 (2018)
A prediction of a forest stand mean may be biased and its estimated variance seriously underestimated when a model fitted for an ensemble of stands (stratum) does not hold for a specific stand. When the sampling design cannot support a stand-level la
Externí odkaz:
https://doaj.org/article/2a039aeddd9547078856e5511274c8ff
Publikováno v:
Ecosphere, Vol 12, Iss 5, Pp n/a-n/a (2021)
Abstract Tree‐ring data have become widely used to model tree growth responses to climate variability and gain insight about the potential effects of global warming on forests. We capitalized on a rare opportunity to develop growth–climate models
Externí odkaz:
https://doaj.org/article/3f1abe3a219944788d03bd523e153141
Autor:
César Pérez-Cruzado, Christoph Kleinn, Paul Magdon, Juan Gabriel Álvarez-González, Steen Magnussen, Lutz Fehrmann, Nils Nölke
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 1041 (2021)
Forest biomass is currently among the most important and most researched target variables in forest monitoring. The common approach of observing individual tree biomass in forest inventory is to assign the total tree biomass to the dimensionless poin
Externí odkaz:
https://doaj.org/article/8655db55062145ac83bc57acb8f41508
Autor:
Göran Ståhl, Svetlana Saarela, Sebastian Schnell, Sören Holm, Johannes Breidenbach, Sean P. Healey, Paul L. Patterson, Steen Magnussen, Erik Næsset, Ronald E. McRoberts, Timothy G. Gregoire
Publikováno v:
Forest Ecosystems, Vol 3 (2016)
This paper focuses on the use of models for increasing the precision of estimators in large-area forest surveys. It is motivated by the increasing availability of remotely sensed data, which facilitates the development of models predicting the vari
Externí odkaz:
https://doaj.org/article/ee48da54d26e4ca993db810b64d77d54
Autor:
Michael A. Wulder, Steen Magnussen
Publikováno v:
Remote Sensing, Vol 4, Iss 6, Pp 1600-1616 (2012)
Canopy height data collected with an airborne laser scanner (ALS) flown across unmanaged parts of Canada’s boreal forest in the summer of 2010 were used—as stand-alone data—to derive a least-squares polynomial (LSPOL) between presumed post-fire
Externí odkaz:
https://doaj.org/article/e01daa56af1541319d9f1ff5275eee5e
Publikováno v:
Sensors, Vol 8, Iss 1, Pp 529-560 (2008)
Forest inventory data often provide the required base data to enable the largearea mapping of biomass over a range of scales. However, spatially explicit estimates ofabove-ground biomass (AGB) over large areas may be limited by the spatial extent of
Externí odkaz:
https://doaj.org/article/b10fa45ced38421388fba14205bfb859
Autor:
Marek Lisańczuk, Krzysztof Mitelsztedt, Krzysztof Stereńczak, Karolina Parkitna, Anna Markiewicz, Grzegorz Krok, Stanisław Miścicki, K. Ukalski, Steen Magnussen
Publikováno v:
Forestry: An International Journal of Forest Research. 94:630-650
Airborne laser scanning (ALS) is one of the most innovative remote sensing tools with a recognized important utility for characterizing forest stands. Currently, the most common ALS-based method applied in the estimation of forest stand characteristi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a723c034d29f5c096136d401b44ab3ba
https://doi.org/10.1093/forestry/cpab011
https://doi.org/10.1093/forestry/cpab011