Schepaschenko D. G., Shvidenko A. Z., Perger C., Dresel C., Fritz S., Lakida P. I., Mukhortova L. V., Usoltsev V. A., Bobkova K. S., Osipov A. F., Martynenko O. V., Karminov V. N., Ontikov P. V., Schepaschenko M. V., Kraxner F. Forest Biomass Observation
Kiev, 03041 Ukraine
How to cite: Schepaschenko D. G.1, 2, Shvidenko A. Z.1, 3, Perger C.1, Dresel C.1, Fritz S.1, Lakida P. I.4, Mukhortova L. V.3, Usoltsev V. A.5, Bobkova K. S.6, Osipov A. F.6, Martynenko O. V.2, Karminov V. N.2, Ontikov P. V.2, Schepaschenko M. V.7, Kraxner F.1 Forest biomass observation: current state and prospective // Sibirskij Lesnoj Zurnal (Sib. J. For. Sci.). 2017. N. 4: 3–11 (in Russian with English abstract)
© Schepaschenko D. G., Shvidenko A. Z., Perger C., Dresel C., Fritz S., Lakida P. I., Mukhortova L. V., Usoltsev V. A., Bobkova K. S., Osipov A. F., Martynenko O. V., Karminov V. N., Ontikov P. V., Schepaschenko M. V., Kraxner F., 2017
With this article, we provide an overview of the methods, instruments and initiatives for forest biomass observation at a global scale. We focus on the freely available information provided by both remote and in-situ observations. The advantages and limitation of various space borne methods, including optical, radar (C, L and P band) and LiDAR, as well as respective instruments available on the orbit (MODIS, Proba-V, Landsat, Sentinel-1, Sentinel-2 , ALOS PALSAR, Envisat ASAR) or expecting (BIOMASS, GEDI, NISAR, SAOCOM-CS) are discussed. We emphasize the role of in-situ methods in the development of a biomass models, providing calibration and validation of remote sensing data. We focus on freely available forest biomass maps, databases and empirical models. We describe the functionality of Biomass.Geo-Wiki.org portal, which provides access to a collection of global and regional biomass maps in full resolution with unified legend and units overplayed with high-resolution imagery. The Forest-Observation-System.net is announced as an international cooperation to establish a global in-situ forest biomass database to support earth observation and to encourage investment in relevant field-based observations and science. Prospects of unmanned aerial vehicles in the forest inventory are briefly discussed. The work was partly supported by ESA IFBN project (contract 4000114425/15/NL/FF/gp).