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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.15372/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 |
URL | http://pure.iiasa.ac.at/id/eprint/14790/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131036 |
推荐引用方式 GB/T 7714 | Schepaschenko D,Shvidenko A,Perger C,et al. Forest Biomass Observation: Current State and Prospective.. 2017. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Schepaschenko_et_al_(3526KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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