Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Johannes Rahlf"'
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-15 (2021)
Abstract Background The Norwegian forest resource map (SR16) maps forest attributes by combining national forest inventory (NFI), airborne laser scanning (ALS) and other remotely sensed data. While the ALS data were acquired over a time interval of 1
Externí odkaz:
https://doaj.org/article/5be8a1a53e094a0db4856652e630b28c
Autor:
Johannes Breidenbach, Arnt-Kristian Gjertsen, Misganu Debella-Gilo, Rasmus Astrup, Johannes Rahlf, Knut Bjørkelo
Publikováno v:
Scandinavian Journal of Forest Research. 34:484-496
This paper describes the development and utility of the Norwegian forest resources map (SR16). SR16 is developed using photogrammetric point cloud data with ground plots from the Norwegian ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0161d179a6f352be6b7e80b13843edac
https://doi.org/10.1080/02827581.2019.1588989
https://doi.org/10.1080/02827581.2019.1588989
Publikováno v:
Annals of Forest Science
Key message Large-scale forest resource maps based on national forest inventory (NFI) data and airborne laser scanning may facilitate synergies between NFIs and forest management inventories (FMIs). A comparison of models used in such a NFI-based map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ef5096d885a1f3c72c3ba3cf3119c22
https://doi.org/10.1007/s13595-021-01061-4
https://doi.org/10.1007/s13595-021-01061-4
Background The Norwegian forest resource map SR16 combines national forest inventory (NFI) and airborne laser scanning (ALS) data. While the ALS data were acquired over a time interval of 10 years using various sensors and settings, the NFI data are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c452861bb1c303502828ebdd61003fa
https://doi.org/10.21203/rs.3.rs-495733/v1
https://doi.org/10.21203/rs.3.rs-495733/v1
Autor:
Johannes Breidenbach, Lars T. Waser, Rasmus Astrup, Stefano Puliti, Misganu Debella-Gilo, Johannes Rahlf, Marius Hauglin, Johannes Schumacher
Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) data for modelling and subsequent mapping of spruce, pine and deciduous forest in Norway in 16 m $\times$ 16 m resolution. The accuracies of the best model ranged between 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6789a8a65790e237617cc2348d7e34
Publikováno v:
Scandinavian Journal of Forest Research
The effectiveness of generating virtual transects on unmanned aerial vehicle-derived orthomosaics was evaluated in estimating the extent of soil disturbance by severity class. Combinations of 4 transect lengths (5 – 50 m) and five sampling intensit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80baeb3baf54c652600b1356a8da20bc
https://doi.org/10.1080/02827581.2017.1418421
https://doi.org/10.1080/02827581.2017.1418421
Publikováno v:
Forestry: An International Journal of Forest Research. 90:710-718
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26908fb9aad132cde7b29a87a73d8520
https://doi.org/10.1093/forestry/cpx027
https://doi.org/10.1093/forestry/cpx027
Autor:
Christopher S.R. Neigh, T. F. Klingenberg, Johannes Rahlf, Stefano Puliti, Paul Montesano, Rasmus Astrup, Johannes Breidenbach, Marius Hauglin, Svein Solberg
Publikováno v:
Remote Sensing of Environment
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only a few remotely sensed data sources provide structural information wall-to-wall throughout the boreal domain. ArcticDEM is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173159b78699b37672b0ab1c8228d81f
https://hdl.handle.net/11250/2688148
https://hdl.handle.net/11250/2688148
Publikováno v:
Forest Ecosystems
Forest Ecosystems, Vol 8, Iss 1, Pp 1-15 (2021)
Forest Ecosystems, Vol 8, Iss 1, Pp 1-15 (2021)
Background The Norwegian forest resource map (SR16) maps forest attributes by combining national forest inventory (NFI), airborne laser scanning (ALS) and other remotely sensed data. While the ALS data were acquired over a time interval of 10 years u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7cfbd44659e8de7d11363524d5dd5b0
https://doi.org/10.1186/s40663-021-00338-4
https://doi.org/10.1186/s40663-021-00338-4
Publikováno v:
GCB Bioenergy. 8:1093-1105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d07292e705343994df51d566daa16e3
https://doi.org/10.1111/gcbb.12332
https://doi.org/10.1111/gcbb.12332