Publishing House SB RAS:

Publishing House SB RAS:

Address of the Publishing House SB RAS:
Morskoy pr. 2, 630090 Novosibirsk, Russia

Advanced Search

Siberian Journal of Forest Science

2017 year, number 4


D. G. Schepaschenko1,2, A. Z. Shvidenko1,3, C. Perger1, C. Dresel1, S. Fritz1, P. I. Lakyda4, L. V. Mukhortova3, V. A. Usoltsev5, K. S. Bobkova6, A. F. Osipov6, O. V. Martynenko2, V. N. Karminov2, P. V. Ontikov2, M. V. Shchepashchenko7, F. Kraxner1
1International Institute for Applied Systems Analysis, Schlossplatz, 1, Laxenburg, 2361 Austria
2N. E. Bauman Moscow State Technical University, Pervaya Institutskaya str., 1, Mytischi, Moscow Oblast, 141005 Russian Federation
3V. N. Sukachev Institute of Forest, Russian Academy of Sciences, Siberian Branch, Akademgorodok, 50/28, Krasnoyarsk, 660036 Russian Federation
4National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony str., 15, Kyiv, 03041 Ukraine
5Botanical Garden, Russian Academy of Sciences, Ural Branch, 8 Marta str., 202, Yekaterinburg, 620144 Russian Federation
6Institute of Biology, Komi Scientific Center, Russian Academy of Sciences, Ural Branch, Kommunisticheskaya str., 28, Syktyvkar, Komi Republic, 167982 Russian Federation
7Russian Institute of Continuous Education in Forestry, Institutskaya str., 17, Pushkino, Moscow Oblast, 141200 Russian Federation
Keywords: лесная фитомасса, дистанционное зондирование, Geo-Wiki,, forest phytomass, remote sensing, Geo-Wiki,


With this article, we provide an overview of the methods, instruments and initiatives for forest biomass observation at 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 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 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.