Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kenneth Nystrom"'
Publikováno v:
Archaeologia Adriatica. 15
This contribution presents the results of the bioarchaeological analysis of human skeletal remains from excavations at the Nadin necropolis, focusing on the reconstruction of population demographics and pathological conditions. This site has represen
Autor:
Göran Ståhl, Terje Gobakken, Svetlana Saarela, Henrik J. Persson, Magnus Ekström, Sean P. Healey, Zhiqiang Yang, Johan Holmgren, Eva Lindberg, Kenneth Nyström, Emanuele Papucci, Patrik Ulvdal, Hans Ole Ørka, Erik Næsset, Zhengyang Hou, Håkan Olsson, Ronald E. McRoberts
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100164- (2024)
Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decision-making. However, wall-to-wall
Externí odkaz:
https://doaj.org/article/ac8f7042e23e48c4a21d47f6b234b47b
Autor:
Olof Pehrsson, K. G. Kenneth Nystrom
Publikováno v:
Ibis. 130:94-110
Observations of freshwater drinking in Eiders feeding primarily on mussels led us to hypothesize that the highly saline sea water enclosed in mussels could cause salt-related dehydration problems in the ducks, since they consume entire mussels. The p
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 2, Pp 127-143 (2022)
Airborne Laser Scanning (ALS) has implied a disruptive transformation of how data are gathered for forest management planning in Nordic countries. We show in this study that the accuracy of ALS predictions of growing stock volume can be maintained an
Externí odkaz:
https://doaj.org/article/93c60035693d44caac2647ce03e1587d
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4627 (2022)
Data assimilation (DA) is often used for merging observations to improve the predictions of the current and future states of characteristics of interest. In forest inventory, DA has so far found limited use, although dense time series of remotely sen
Externí odkaz:
https://doaj.org/article/4877e0c673924ef7837b1706fb7674e1
Autor:
Nils Lindgren, Henrik J. Persson, Mattias Nyström, Kenneth Nyström, Anton Grafström, Anders Muszta, Erik Willén, Johan E. S. Fransson, Göran Ståhl, Håkan Olsson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 4, Pp 374-383 (2017)
The statistical framework of data assimilation provides methods for utilizing new data for obtaining up-to-date forest data: existing forest data are forecasted and combined with each new remote sensing data set. This new paradigm for updating forest
Externí odkaz:
https://doaj.org/article/60662effd2b24f4c93040cb4c5e090fb
Autor:
Olof Pehrsson, K. G. Kenneth Nystrom
Publikováno v:
The Journal of Wildlife Management. 52:185