Forest Biomass Observation: Current State and Prospective

Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Shvidenko, A., Perger, C., Dresel, C., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, 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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Project: Geo-Wiki

Abstract

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).

Item Type: Article
Uncontrolled Keywords: forest phytomass, remote sensing, Geo-Wiki, Forest-observation-System.net
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 29 Aug 2017 11:35
Last Modified: 04 Jan 2024 14:02
URI: https://pure.iiasa.ac.at/14790

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