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来源类型Article
规范类型其他
DOI10.15372/SJFS20170401
Forest Biomass Observation: Current State and Prospective.
Schepaschenko D; Shvidenko A; Perger C; Dresel C; Fritz S; Lakida PI; Mukhortova LV; Usoltsev VA
发表日期2017
出处Siberian Journal of Forest Science (4): 3-11
出版年2017
语种英语
摘要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).
主题Ecosystems Services and Management (ESM)
关键词forest phytomass, remote sensing, Geo-Wiki, Forest-observation-System.net
URLhttp://pure.iiasa.ac.at/id/eprint/14790/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/131036
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Schepaschenko D,Shvidenko A,Perger C,et al. Forest Biomass Observation: Current State and Prospective.. 2017.
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