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

被引：71
|
作者：
Kaasalainen, Sanna [1 ]
Holopainen, Markus [2 ]
Karjalainen, Mika [1 ]
Vastaranta, Mikko [2 ]
Kankare, Ville [2 ]
Karila, Kirsi [1 ]
Osmanoglu, Batuhan [3 ]
机构：
[1] Finnish Geospatial Res Inst, FI-02431 Masala, Finland
[2] Univ Helsinki, Dept Forest Sci, FI-00014 Helsinki, Finland
[3] NASA, Biospher Sci Lab, Univ Space Res Assoc, GSFC, Greenbelt, MD 20771 USA
来源：
FORESTS | 2015年 / 6卷 / 01期
基金：
芬兰科学院;
关键词：
lidar; radar; forest biomass; remote sensing; data fusion; PASS SAR INTERFEROMETRY; DISCRETE-RETURN LIDAR; GROWING STOCK VOLUME; ABOVEGROUND BIOMASS; BOREAL FOREST; AIRBORNE LIDAR; CANOPY HEIGHT; ALOS PALSAR; EXPANSION FACTORS; GROUND BIOMASS;
D O I：
10.3390/f6010252
中图分类号：
S7 [林业];
学科分类号：
0829 ; 0907 ;
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 above ground 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.
引用
收藏
页码：252 / 270
页数：19
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