[1] Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms | Scientific Reports.
[2] Open source data from finnish forest center. https://www.metsakeskus.fi/en/open-forest-and-nature-information. Accessed: 2020-09-30.
[3] Sentinel hub's cloud detector for sentinel-2 imagery. https://github.com/sentinel-hub/ sentinel2-cloud-detector. Accessed: 2020-09-30.
[4] Snap plugin sen2cor. https://step.esa.int/main/snap-supported-plugin/sen2cor/. Accessed: 2020-09-30.
[5] Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Nicolas Labriere, Pedro Rodriguez-Veiga, Valerio Avitabile, Maurizio Santoro, Edward T. A. Mitchard, Casey M. Ryan, Oliver L. Phillips, Simon Willcock, Hans Verbeeck, Joao Carreiras, Lars Hein, Mart-Jan Schelhaas, Ana Maria Pacheco-Pascagaza, Polyanna da Conceicao Bispo, Gaia Vaglio Laurin, Ghislain Vieilledent, Ferry Slik, Arief Wijaya, Simon L. Lewis, Alexandra Morel, Jingjing Liang, Hansrajie Sukhdeo, Dmitry Schepaschenko, Jura Cavlovic, Hammad Gilani, and Richard Lucas. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment, 272:112917, Apr. 2022.
[6] A. Baccini, S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla-Menashe, J. Hackler, P. S. A. Beck, R. Dubayah, M. A. Friedl, S. Samanta, and R. A. Houghton. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2(3):182-185, Mar. 2012. Number: 3 Publisher: Nature Publishing Group.
[7] J. A. Blackard, M. V. Finco, E. H. Helmer, G. R. Holden, M. L. Hoppus, D. M. Jacobs, A. J. Lister, G. G. Moisen, M. D. Nelson, R. Riemann, B. Ruefenacht, D. Salajanu, D. L Weyermann, K. C. Winterberger, T. J. Brandeis, R. L. Czaplewski, R. E. McRoberts, P. L. Patterson, and R. P. Tymcio. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sensing of Environment, 112(4):1658-1677, Apr. 2008.
[8] A Bombelli, V Avitabile, H Balzter, L Belilli Marchesini, M Bernoux, M Brady, R Hall, M Hansen, M Henry, M Herold, et al. Biomass—assessment of the status of the development of the standards for the terrestrial essential climate variables. Rome: GTOS, page 18, 2009.
[9] João M. B. Carreiras, Maria J. Vasconcelos, and Richard M. Lucas. Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa). Remote Sensing of Environment, 121:426-442, June 2012.
[10] Warren B. Cohen, Zhiqiang Yang, and Robert Kennedy. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation. Remote Sensing of Environment, 114(12):2911–2924, Dec. 2010.
[11] Ovidiu Csillik, Pramukta Kumar, Joseph Mascaro, Tara O'Shea, and Gregory P. Asner. Monitoring tropical forest carbon stocks and emissions using Planet satellite data. Scientific Reports, 9(1):17831, Nov. 2019. Number: 1 Publisher: Nature Publishing Group.
[12] Ivan Dorado-Roda, Adrián Pascual, Adrián Pascual, Sérgio Godinho, Carlos A. Silva, Carlos Alberto Silva, Brigite Botequim, Pablo Rodríguez-González, Eduardo González-Ferreiro, and Juan Guerra-Hernández. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sensing, 13(12):2279, June 2021. MAG ID: 3169785445 S2ID: e1af386f959d1d4e61e36efe476248c6b8f8037a.
[13] Laura Duncanson, Amy L. Neuenschwander, Steven Hancock, Nathan Thomas, Temilola Fatoyinbo, Marc Simard, Carlos A. Silva, Carlos Alberto Silva, John Armston, Scott B. Luthcke, Michelle Hofton, James R. Kellner, and Ralph Dubayah. Biomass estimation from simulated GEDI, ICESat-2 and NISAR across