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Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry.
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Number of Authors: 12
2015 (English)In: Remote Sensing of Environment, ISSN 0034-4257, E-ISSN 1879-0704, Vol. 168, 316-334 p.Article in journal (Refereed) Published
Abstract [en]

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 GSV 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 administrative units were mostly in agreement with inventory-derived estimates. Underestimation occurred in regions of very high GSV (>300 m(3)/ha) and fragmented forest landscapes. For the major forested countries within the study region, the relative RMSE between ASAR-derived GSV averages at provincial level and corresponding values from National Forest Inventory was between 12% and 45% (average: 29%).

Place, publisher, year, edition, pages
2015. Vol. 168, 316-334 p.
Keyword [en]
Envisat ASAR, Forest, Growing stock volume, Biomass, MODIS Vegetation Continuous Fields, BIOMASAR, Northern hemisphere
National Category
Earth and Related Environmental Sciences Agricultural Science, Forestry and Fisheries Biological Sciences
URN: urn:nbn:se:su:diva-121862DOI: 10.1016/j.rse.2015.07.005ISI: 000361405500025OAI: diva2:864147
Available from: 2015-10-26 Created: 2015-10-19 Last updated: 2015-10-26Bibliographically approved

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Beer, ChristianThurner, Martin
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