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Special Issue: The Potential Role for Community Monitoring in MRV and in Benefit Sharing in REDD+
Review

Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects

1
Finnish Geospatial Research Institute, Geodeetinrinne 2, Masala FI-02431, Finland
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Department of Forest Sciences, University of Helsinki, P.O. Box 27, Helsinki FI-00014, Finland
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Biospheric Sciences Laboratory, University Space Research Association, NASA GSFC, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Peter Beets and Eric J. Jokela
Forests 2015, 6(1), 252-270; https://doi.org/10.3390/f6010252
Received: 28 February 2014 / Accepted: 9 January 2015 / Published: 16 January 2015
Research activities combining lidar and radar remote sensing have increased in recent years. The main focus in combining lidar-radar forest remote sensing has been on the retrieval of the aboveground biomass (AGB), which is a primary variable related to carbon cycle in land ecosystems, and has therefore been identified as an essential climate variable. In this review, we summarize the studies combining lidar and radar in estimating forest AGB. We discuss the complementary use of lidar and radar according to the relevance of the added value. The most promising prospects for combining lidar and radar data are in the use of lidar-derived ground elevations for improving large-area biomass estimates from radar, and in upscaling of lidar-based AGB data across large areas covered by spaceborne radar missions. View Full-Text
Keywords: lidar; radar; forest biomass; remote sensing; data fusion lidar; radar; forest biomass; remote sensing; data fusion
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MDPI and ACS Style

Kaasalainen, S.; Holopainen, M.; Karjalainen, M.; Vastaranta, M.; Kankare, V.; Karila, K.; Osmanoglu, B. Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects. Forests 2015, 6, 252-270. https://doi.org/10.3390/f6010252

AMA Style

Kaasalainen S, Holopainen M, Karjalainen M, Vastaranta M, Kankare V, Karila K, Osmanoglu B. Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects. Forests. 2015; 6(1):252-270. https://doi.org/10.3390/f6010252

Chicago/Turabian Style

Kaasalainen, Sanna, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila, and Batuhan Osmanoglu. 2015. "Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects" Forests 6, no. 1: 252-270. https://doi.org/10.3390/f6010252

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