Santoro, M., Beaudoin, A., Beer, C., Cartus, O., Fransson, J.E.S., Hall, R.J., Schmullius, C., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Shvidenko, A., Thurner, M., & Wegmueller, U. (2015). Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR. Remote Sensing of Environment 168 316-334. 10.1016/j.rse.2015.07.005.
Full text not available from this repository.Abstract
This paper presents and assesses spatially explicit estimates of forest growing stock volume (GSV) of the northern hemisphere (north of 10 degrees N) from hyper-temporal observations of Envisat Advanced Synthetic Aperture Radar (ASAR) backscattered intensity using the BIOMASAR algorithm. Approximately 70,000 ASAR images at a pixel size of 0.01 degrees were used to estimate GV representative for the year 2010. The spatial distribution of the GSV across four ecological zones (polar, boreal, temperate subtropical) was well captured by the ASAR-based estimates. The uncertainty of the retrieved GSV was smallest in boreal and temperate forest (< 30% for approximately 80% of the forest area) and largest in subtropical forest. ASAR-derived GSV averages at the level of admnistrative units were mostly in agreement with inventory-derived estimates. Underestimation occurred in regions of very high GSV (> 30 m^3/ha) and fragmented forest landscapes. For the major forested countries within the study region, the relative RMSE betwen ASAR-derived GSV averages at provincial level and corresponding values from National Forest Inventory was between 12% and 45% (average: 29%).
Item Type: | Article |
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Uncontrolled Keywords: | Envisat ASAR; Forest; Growing stock volume; Biomass; MODIS Vegetation Continuous Fields; BIOMASAR Northern hemisphere |
Research Programs: | Ecosystems Services and Management (ESM) |
Bibliographic Reference: | Remote Sensing Environment; 168:316-334 (October 2015) |
Depositing User: | IIASA Import |
Date Deposited: | 15 Jan 2016 08:53 |
Last Modified: | 27 Aug 2021 17:25 |
URI: | https://pure.iiasa.ac.at/11410 |
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