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
1 International Institute for Applied Systems Analysis (IIASA)
Schlossplatz, 1, Laxenburg, 2361 Austria
2 Mytischinski Branch of N. E. Bauman Moscow State Technical University
(Moscow State Forest Univeristy)
Pervaya Institutskaya str., 1, Mytishchi, Moscow Oblast, 141005 Russian Federation
3 V. N. Sukachev Institute of Forest, Russian Academy of Sciences, Siberian Branch – Solitary Unit of the Federal Research Center Krasnoyarsk Science Center, Russian Academy of Sciences, Siberian Branch
Akademgorodok, 50/28, Krasnoyarsk, 660036 Russian Federation
4 National University of Life and Environmental Sciences of Ukraine
Geroev Oborony str., 15, Kiev, 03041 Ukraine
5 Botanical Garden, Russian Academy of Siences, Ural Branch
8 Marta str., 202, Yekaterinburg, 620144 Russian Federation
6 Institute of Biology, Komi Scientific Centre, Russian Academy of Sciences, Ural Branch
Kommunisticheskaya str., 28b, Syktyvkar, Komi Republic, 167982 Russian Federation
7 All-Russian Institute on Advanced Training Executives and Specialists of Forestry
Institutskaya str., 17, Pushkino, Pushkinsky District, Moscow Oblast, 141202 Russian Federation
E-mail: schepd@iiasa.ac.at, shvidenk@iiasa.ac.at, perger@iiasa.ac.at, dresel@iiasa.ac.at,
fritz@iiasa.ac.at, petro.lakyda@ukr.net, l.mukhortova@gmail.com, usoltsev50@mail.ru,
bobkova@ib.komisc.ru, osipov@ib.komisc.ru, martinen@mgul.ac.ru, karminov@mgul.ac.ru,
Abstract
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)
DOI: 10.15372/SJFS20170401
© 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).
