This work is licensed under the Creative Commons Attribution 4.0 International License.
Brede, B., Bartholomeus, H., Suomalainen, J., Clevers, J., Verbesselt, J., Herold, M., Culvenor, D., Gascon, F. 2016. The Speulderbos fiducial reference site for continuous monitoring of forest biophysical variables. – Proceedings of ‘Living Planet Symposium 2016’, Czech Republic, 9–13 May 2016. Prague, ESA SP–740.BredeB.BartholomeusH.SuomalainenJ.CleversJ.VerbesseltJ.HeroldM.CulvenorD.GasconF.2016The Speulderbos fiducial reference site for continuous monitoring of forest biophysical variablesPragueESA SP–740Search in Google Scholar
Copernicus HRL. 2019. HRL FOREST 2015 Final validation report. Document: GIO_HRL_FOR_Validation_Report_SC03, Issue: 1.7, 28/01/2019. [WWW document]. – URL https://land.copernicus.eu/user-corner/technical-library/hrl-forest-2015-final-validation-report/view. [Accessed 06 June 2021].Copernicus HRL2019[WWW document]. – URL https://land.copernicus.eu/user-corner/technical-library/hrl-forest-2015-final-validation-report/view. [Accessed 06 June 2021]Search in Google Scholar
Dostálová, A., Wagner, W., Milenković, M., Hollaus, M. 2018. Annual seasonality in Sentinel-1 signal for forest mapping and forest type classification. – International Journal of Remote Sensing, 39(21), 7738–7760. https://doi.org/10.1080/01431161.2018.1479788.DostálováA.WagnerW.MilenkovićM.HollausM.2018Annual seasonality in Sentinel-1 signal for forest mapping and forest type classification392177387760https://doi.org/10.1080/01431161.2018.147978810.1080/01431161.2018.1479788Search in Google Scholar
Eisen, K., Barker Plotkin, A. 2015. Forty years of forest measurements support steadily increasing aboveground biomass in a maturing, Quercus-dominant northeastern forest. – The Journal of the Torrey Botanical Society, 142(2), 97–112.EisenK.Barker PlotkinA.2015Forty years of forest measurements support steadily increasing aboveground biomass in a maturing, Quercus-dominant northeastern forest14229711210.3159/TORREY-D-14-00027.1Search in Google Scholar
Kantola, A., Mäkelä, A. 2006. Development of biomass proportions in Norway spruce (Picea abies [L.] Karst.). – Trees, 20, 111–121. https://doi.org/10.1007/s00468-005-0018-2.KantolaA.MäkeläA.2006Development of biomass proportions in Norway spruce (Picea abies [L.] Karst.)20111121https://doi.org/10.1007/s00468-005-0018-210.1007/s00468-005-0018-2Search in Google Scholar
Kuusk, A., Lang, M., Kuusk, J. 2013. Database of optical and structural data for the validation of forest radiative transfer models. – Kokhanovsky, A.A. (ed.). Light Scattering Reviews 7, Berlin, Heidelberg, Springer, 109–148. https://doi.org/10.1007/978-3-642-21907-8_4.KuuskA.LangM.KuuskJ.2013Database of optical and structural data for the validation of forest radiative transfer modelsKokhanovskyA.A.(ed.).Berlin, HeidelbergSpringer109148https://doi.org/10.1007/978-3-642-21907-8_410.1007/978-3-642-21907-8_4Search in Google Scholar
Kuusk, A., Lang, M., Märdla, S., Pisek, J. 2015. Tree stems from terrestrial laser scanner measurements. – Forestry Studies / Metsanduslikud Uurimused, 63, 44–55. https://doi.org/10.1515/fsmu-2015-0008.KuuskA.LangM.MärdlaS.PisekJ.2015Tree stems from terrestrial laser scanner measurements634455https://doi.org/10.1515/fsmu-2015-000810.1515/fsmu-2015-0008Search in Google Scholar
Kuusk, A., Pisek, J., Lang, M., Märdla, S. 2018. Estimation of gap fraction and foliage clumping in forest canopies. – Remote Sensing, 10(7), 1153. https://doi.org/10.3390/rs10071153.KuuskA.PisekJ.LangM.MärdlaS.2018Estimation of gap fraction and foliage clumping in forest canopies1071153https://doi.org/10.3390/rs1007115310.3390/rs10071153Search in Google Scholar
Lang, M., Kuusk, A., Mõttus, M., Rautiainen, M., Nilson, T. 2010. Canopy gap fraction estimation from digital hemispherical images using sky radiance models and a linear conversion method. – Agricultural and Forest Meteorology, 150(1), 20–29. https://doi.org/10.1016/j.agrformet.2009.08.001.LangM.KuuskA.MõttusM.RautiainenM.NilsonT.2010Canopy gap fraction estimation from digital hemispherical images using sky radiance models and a linear conversion method15012029https://doi.org/10.1016/j.agrformet.2009.08.00110.1016/j.agrformet.2009.08.001Search in Google Scholar
Lang, M., Nilson, T., Kuusk, A., Pisek, J., Korhonen, L., Uri, V. 2017. Digital photography for tracking the phenology of an evergreen conifer stand. – Agricultural and Forest Meteorology, 246, 15–21. https://doi.org/10.1016/j.agrformet.2017.05.021.LangM.NilsonT.KuuskA.PisekJ.KorhonenL.UriV.2017Digital photography for tracking the phenology of an evergreen conifer stand2461521https://doi.org/10.1016/j.agrformet.2017.05.02110.1016/j.agrformet.2017.05.021Search in Google Scholar
Lang, M., Pisek, J. 2019. Tracking the long-term structure changes of a mature deciduous broadleaf forest stand using digital hemispherical photography. – Forestry Studies / Metsanduslikud Uurimused, 70, 80–87. https://doi.org/10.2478/fsmu-2019-0007.LangM.PisekJ.2019Tracking the long-term structure changes of a mature deciduous broadleaf forest stand using digital hemispherical photography708087https://doi.org/10.2478/fsmu-2019-000710.2478/fsmu-2019-0007Search in Google Scholar
Lõhmus, E. 2004. Forest site types in Estonia. (Eesti metsakasvukohatüübid). Tartu, Eesti Loodusfoto. 80 pp. (In Estonian).LõhmusE.2004TartuEesti Loodusfoto80(In Estonian)Search in Google Scholar
Maleki, K., Kiviste, A. 2015. Effect of sample plot size and shape on estimates of structural indices: A case study in mature silver birch (Betula pendula Roth) dominating stand in Järvselja. – Forestry Studies / Metsanduslikud Uurimused, 63, 130–150.MalekiK.KivisteA.2015Effect of sample plot size and shape on estimates of structural indices: A case study in mature silver birch (Betula pendula Roth) dominating stand in Järvselja6313015010.1515/fsmu-2015-0013Search in Google Scholar
Pisek, J., Rautiainen, M., Nikopensius, M., Raabe, K. 2015. Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach. – Remote Sensing of Environment, 163, 42–47. https://doi.org/10.1016/j.rse.2015.03.003.PisekJ.RautiainenM.NikopensiusM.RaabeK.2015Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach1634247https://doi.org/10.1016/j.rse.2015.03.00310.1016/j.rse.2015.03.003Search in Google Scholar
Valentine, H.T., Mäkelä, A. 2005. Bridging process-based and empirical approaches to modeling tree growth. – Tree Physiology, 25(7), 769–779. https://doi.org/10.1093/treephys/25.7.769.ValentineH.T.MäkeläA.2005Bridging process-based and empirical approaches to modeling tree growth257769779https://doi.org/10.1093/treephys/25.7.76910.1093/treephys/25.7.76915870047Search in Google Scholar
Widlowski, J.-L., Mio, C., Disney, M., Adams, J., Andredakis, I., Atzberger, C., Brennan, J., Busetto, L., Chelle, M., Ceccherini, G., Colombo, R., Côté, J.-F., Eenmäe, A., Essery, R., Gastellu-Etchegorry, J.-P., Gobron, N., Grau, E., Haverd, V., Homolová, L., Huang, H., Hunt, L., Kobayashi, H., Koetz, B., Kuusk, A., Kuusk, J., Lang, M., Lewis, P. E., Lovell, J.L., Malenovký, Z., Meroni, M., Morsdorf, F., Mõttus, M., Ni-Meister, W., Pinty, B., Rautiainen, M., Schlerf, M., Somers, B., Stuckens, J., Verstraete, M.M., Yang, W., Zhao, F., Zenone, T. 2015. The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing. – Remote Sensing of Environment, 169, 418–437. https://doi.org/10.1016/j.rse.2015.08.016.WidlowskiJ.-L.MioC.DisneyM.AdamsJ.AndredakisI.AtzbergerC.BrennanJ.BusettoL.ChelleM.CeccheriniG.ColomboR.CôtéJ.-F.EenmäeA.EsseryR.Gastellu-EtchegorryJ.-P.GobronN.GrauE.HaverdV.HomolováL.HuangH.HuntL.KobayashiH.KoetzB.KuuskA.KuuskJ.LangM.LewisP. E.LovellJ.L.MalenovkýZ.MeroniM.MorsdorfF.MõttusM.Ni-MeisterW.PintyB.RautiainenM.SchlerfM.SomersB.StuckensJ.VerstraeteM.M.YangW.ZhaoF.ZenoneT.2015The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing169418437https://doi.org/10.1016/j.rse.2015.08.01610.1016/j.rse.2015.08.016Search in Google Scholar