Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Ronald E. McRoberts"'
Autor:
Saverio Francini, Mart-Jan Schelhaas, Elia Vangi, Bas Lerink, Gert-Jan Nabuurs, Ronald E. McRoberts, Gherardo Chirici
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103935- (2024)
European forest monitoring is a central topic nowadays due to the critical role that forests can play in combatting climate change. Crucial information on forests is the number of tree species and the area covered by each of them, as they vary concer
Externí odkaz:
https://doaj.org/article/6d2ca72440b64f2cb73c4768b8ec791e
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:
Jonathan A. Knott, Greg C. Liknes, Courtney L. Giebink, Sungchan Oh, Grant M. Domke, Ronald E. McRoberts, Valquiria F. Quirino, Brian F. Walters
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 7, Pp 1587-1602 (2023)
Abstract Large‐scale ecological sampling networks, such as national forest inventories (NFIs), collect in situ data to support biodiversity monitoring, forest management and planning, and greenhouse gas reporting. Data harmonization aims to link au
Externí odkaz:
https://doaj.org/article/031bb2049b384fffb671303ba168462f
Autor:
Giovanni D’Amico, Ronald E. McRoberts, Francesca Giannetti, Elia Vangi, Saverio Francini, Gherardo Chirici
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 199-212 (2022)
Forest parameter estimation is required to support the sustainable management of forest ecosystems. Currently, forest resource assessment is increasingly linked to auxiliary information obtained from remote sensing (RS) technologies. In forest parame
Externí odkaz:
https://doaj.org/article/31cbbac047a64edb8ba5d9459092ac33
Autor:
Fangting Chen, Zhengyang Hou, Svetlana Saarela, Ronald E. McRoberts, Göran Ståhl, Annika Kangas, Petteri Packalen, Bo Li, Qing Xu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 119, Iss , Pp 103314- (2023)
Remote sensing (RS) has enhanced forest inventory with model-based inference, that is, a family of statistical procedures rigorously estimates the parameter of a variable of interest (VOI) for a spatial population, e.g., the mean or total of forest c
Externí odkaz:
https://doaj.org/article/b53126e037434b4bb9eb30679086649c
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5152 (2023)
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth observation (EO) images. However, in practical forest inventories, reference datasets are often represented by plot- or stand-level measurements, while high-qu
Externí odkaz:
https://doaj.org/article/6da10adb37b442adb1024198d3c16255
Autor:
Natalia Málaga, Sytze de Bruin, Ronald E. McRoberts, Alexs Arana Olivos, Ricardo de la Cruz Paiva, Patricia Durán Montesinos, Daniela Requena Suarez, Martin Herold
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103102- (2022)
National forest inventories (NFI) provide essential forest-related biomass and carbon information for country greenhouse gas (GHG) accounting systems. Several tropical countries struggle to execute their NFIs while the extent to which space-based glo
Externí odkaz:
https://doaj.org/article/c9da5cb318254a5ea2aa4e40aae3b323
Autor:
Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Ronald E. McRoberts, Jaan Praks, Hong Gu, Weimin Su, Oleg Antropov
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3489 (2023)
Copernicus Sentinel-1 images are widely used for forest mapping and predicting forest growing stock volume (GSV) due to their accessibility. However, certain important aspects related to the use of Sentinel-1 time series have not been thoroughly expl
Externí odkaz:
https://doaj.org/article/f49e4a5f56374aebb21c02112fe119cf
Autor:
K. C. Cushman, Sassan Saatchi, Ronald E. McRoberts, Kristina J. Anderson-Teixeira, Norman A. Bourg, Bruce Chapman, Sean M. McMahon, Christopher Mulverhill
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3509 (2023)
Emerging satellite radar and lidar platforms are being developed to produce gridded aboveground biomass (AGB) predictions that are poised to expand our understanding of global carbon stocks and changes. However, the spatial resolution of AGB map prod
Externí odkaz:
https://doaj.org/article/5ba4a33cccf149d8b187e11298c7fda3
Autor:
Johannes Breidenbach, Ronald E. McRoberts, Iciar Alberdi, Clara Antón-Fernández, Erkki Tomppo
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-4 (2021)
Abstract In 2019, 100 years had elapsed since the first National Forest Inventory (NFI) was established in Norway. Motivated by a fear of over-exploitation of timber resources, NFIs today enable informed policy making by providing data vital to decis
Externí odkaz:
https://doaj.org/article/a29f40e7e56e4ddeaf3d80708cb22727