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

Forests

Sanna Kaasalainen¹  Markus Holopainen⁴  Mika Karjalainen¹  Mikko Vastaranta⁴  Ville Kankare⁴  Kirsi Karila¹  Batuhan Osmanoglu³  Peter Beets² 

[1] Finnish Geospatial Research Institute, Geodeetinrinne 2, Masala FI-02431, Finland; E-Mails:Finnish Geospatial Research Institute, Geodeetinrinne 2, Masala FI-02431, Finland;;Biospheric Sciences Laboratory, University Space Research Association, NASA GSFC, Greenbelt, MD 20771, USA; E-Mail:;Department of Forest Sciences, University of Helsinki, P.O. Box 27, Helsinki FI-00014, Finland; E-Mails:

关键词: lidar;    radar;    forest biomass;    remote sensing;    data fusion;   

DOI  :  10.3390/f6010252

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.