Title :
Estimation of forest stem volume using optical SPOT-5 satellite and laser data in combination
Author :
Franssoru, J.E.S. ; Magnusson, Mattias ; Holmgren, Johan
Author_Institution :
Dept. of Forest Resource Manage. & Geomatics, Swedish Univ. of Agric. Sci., Umea, Sweden
Abstract :
In this paper, the accuracy of forest stem volume estimation using a combination of optical SPOT-5 satellite and TopEye laser scanner data is investigated, at stand level. It is anticipated that the accuracy will be improved for the combined stem volume estimate compared to using SPOT-5 data only. The test site is located in the south of Sweden and consists mainly of coniferous forest. The stem volume for the selected stands was in the range of 30-620 m3 ha-1 with an average stem volume of 288 m3 ha-1 and an average size of 2.9 ha. Regression analysis has been used to develop stem volume functions for each sensor and for the combination. In the combined stem volume function the horizontal forest structure is captured by the optical satellite data whereas the vertical structure is represented by the laser derived tree height data. The accuracy in terms of relative root mean square error was 30.8% of the average stem volume for SPOT-5 and 15.7% for the combination. Thus, compared to using only SPOT-5 data the improvement was found to be 49% The result implies that the combination of multi-spectral optical satellite and laser derived tree height data can be used for standwise stem volume estimation in forestry applications.
Keywords :
data acquisition; forestry; optical radar; regression analysis; remote sensing by laser beam; terrain mapping; vegetation mapping; Sweden; TopEye laser scanner data; coniferous forest; forest stem volume of; forestry applications; horizontal forest structure; laser data; laser derived tree height data; lidar; multispectral optical satellite; optical SPOT-5 satellite; regression analysis; root mean square error; standwise stem volume estimation; stem volume functions; vertical forest structure; Costs; Forestry; Laser radar; Laser theory; Optical sensors; Regression analysis; Resource management; Root mean square; Satellites; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369750