SAR RADARGRAMMETRY AND SCANNING LIDAR IN PREDICTING FOREST CANOPY HEIGHT

被引：6

作者：

Vastaranta, Mikko ^{[1
]}

Holopainen, Markus ^{[1
]}

Karjalainen, Mika ^{[2
]}

Kankare, Ville ^{[1
]}

Hyyppa, Juha ^{[2
]}

Kaasalainen, Sanna ^{[2
]}

Hyyppa, Hannu ^{[3
,4
]}

机构：

[1] Univ Helsinki, Dept Forest Sci, FIN-00014 Helsinki, Finland

[2] Finnish Geodet Inst, Masala 02430, Finland

[3] Aalto Univ, Espoo, Finland

[4] Helsinki Metropolia Univ Appl Sci, Helsinki, Finland

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Forestry; laser scanning; mapping; monitoring;

D O I：

10.1109/IGARSS.2012.6352752

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Our objective was to evaluate the accuracy of estimating forest canopy height when using scanning LiDAR and TerraSAR-X stereo radargrammetry. The study area was located in southern Finland. We used SAR radargrammetry and LiDAR to extract 3D point clouds to derive predictors used in the non-parametric prediction of forest canopy height. We used tree-wise measured field plots (n=110) as reference data. Our results showed that with SAR radargrammetry, the relative RMSE for forest canopy height was 12.2% whereas it was 8.1% with LiDAR. We concluded that SAR radargrammetry is a promising remote-sensing method for predicting forest canopy height when an accurate digital terrain model is available.

引用

页码：6515 / 6518

页数：4

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