Forest Biomass Observation: Current State and Prospective

Schepaschenko, D. ORCID:, Shvidenko, A., Perger, C., Dresel, C., Fritz, S. ORCID:, Lakida, P.I., Mukhortova, L.V., Usoltsev, V.A., et al. (2017). Forest Biomass Observation: Current State and Prospective. Siberian Journal of Forest Science (4) 3-11. 10.15372/SJFS20170401.

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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 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. The work was partly supported by ESA IFBN project (contract 4000114425/15/NL/FF/gp).

Item Type: Article
Uncontrolled Keywords: forest phytomass, remote sensing, Geo-Wiki,
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 29 Aug 2017 11:35
Last Modified: 19 Oct 2022 05:00

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