E-LIB Suche - Ergebnisse für: Eid, Tron

1

Predicting snow damage in conifer forests using a mechanist..:

Zubkov, Peter ; Gardiner, Barry ; Nygaard, Bjørn Egil...
Scandinavian Journal of Forest Research. 39 (2023) 1 - p. 59-75 , 2023

Link: https://doi.org/10.1080/..

2

Bark beetle damage in Norwegian forests: a study of model s..:

Machado Nunes Romeiro, Joyce ; Gohli, Jostein ; Krokene, Paal..
Scandinavian Journal of Forest Research. 39 (2023) 1 - p. 30-43 , 2023

Link: https://doi.org/10.1080/..

3

Aboveground Biomass Prediction Model Using Landsat 8 Data: ..:

, In: Research Developments in Geotechnics, Geo-Informatics and Remote Sensing; Advances in Science, Technology & Innovation,

Rannestad, Meley ; Eid, Tron ; Bollandsås, Ole Martin.. - p. 383-386 , 2022

Link: https://doi.org/10.1007/..

4

Natural disturbances risks in European Boreal and Temperate..:

Machado Nunes Romeiro, Joyce ; Eid, Tron ; Antón-Fernández, Clara..
Forest Ecology and Management. 509 (2022) - p. 120071 , 2022

Link: https://doi.org/10.1016/..

5

Species diversity and stand structural diversity of woody p..:

Tetemke, Buruh Abebe ; Birhane, Emiru ; Rannestad, Meley Mekonen.
Forest Ecology and Management. 500 (2021) - p. 119634 , 2021

Link: https://doi.org/10.1016/..

6

Modelling and quantifying tree biometric properties of dry ..:

Asrat, Zerihun ; Eid, Tron ; Gobakken, Terje.
Trees. 34 (2020) 6 - p. 1411-1426 , 2020

Link: https://doi.org/10.1007/..

7

Aboveground tree biomass prediction options for the Dry Afr..:

Asrat, Zerihun ; Eid, Tron ; Gobakken, Terje.
Forest Ecology and Management. 473 (2020) - p. 118335 , 2020

Link: https://doi.org/10.1016/..

8

Allometric Models for Predicting Aboveground Biomass of Tre..:

Tetemke, Buruh Abebe ; Birhane, Emiru ; Rannestad, Meley Mekonen.
Forests. 10 (2019) 12 - p. 1114 , 2019

Link: https://doi.org/10.3390/..

9

Variation in wood basic density within and between tree spe..:

Ubuy, Mengesteab Hailu ; Eid, Tron ; Bollandsås, Ole Martin
Trees. 32 (2018) 4 - p. 967-983 , 2018

Link: https://doi.org/10.1007/..

10

Aboveground biomass models for trees and shrubs of exclosur..:

Ubuy, Mengesteab Hailu ; Eid, Tron ; Bollandsås, Ole Martin.
Journal of Arid Environments. 156 (2018) - p. 9-18 , 2018

Link: https://doi.org/10.1016/..

11

Influence of Plot Size on Efficiency of Biomass Estimates i..:

Kachamba, Daud ; Ørka, Hans ; Næsset, Erik..
Remote Sensing. 9 (2017) 6 - p. 610 , 2017

Link: https://doi.org/10.3390/..

12

Above- and Belowground Biomass Models for Trees in the Miom..:

Kachamba, Daud ; Eid, Tron ; Gobakken, Terje
Forests. 7 (2016) 2 - p. 38 , 2016

Link: https://doi.org/10.3390/..

13

Modelling diameter growth, mortality and recruitment of tre..:

Mugasha, Wilson A ; Eid, Tron ; Bollandsås, Ole M.
Southern Forests: a Journal of Forest Science. 79 (2016) 1 - p. 51-64 , 2016

Link: https://doi.org/10.2989/..

14

Biomass Estimation Using 3D Data from Unmanned Aerial Vehic..:

Kachamba, Daud ; Ørka, Hans ; Gobakken, Terje..
Remote Sensing. 8 (2016) 11 - p. 968 , 2016

Link: https://doi.org/10.3390/..

15

Decision-support tool for management of miombo woodlands: a..:

Mugasha, Wilson A ; Bollandsås, Ole M ; Gobakken, Terje...
Southern Forests: a Journal of Forest Science. 79 (2016) 1 - p. 65-77 , 2016

Link: https://doi.org/10.2989/..