Forest Biomass Observation: Current State and Prospective

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

[img]
Preview
Text (In Russian)
Schepaschenko_et_al_2017_SFJ.pdf - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview

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: 01 Sep 2017 10:12
URI: http://pure.iiasa.ac.at/14790

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313