首页> 外文期刊>Scandinavian Journal of Forest Research >Airborne low-frequency synthetic aperture radar and optical satellite data as complementary data sources for forest stem volume estimation.
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Airborne low-frequency synthetic aperture radar and optical satellite data as complementary data sources for forest stem volume estimation.

机译:机载低频合成孔径雷达和光学卫星数据作为森林茎量估计的补充数据源。

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摘要

Forest stem volume estimation using a combination of airborne CARABAS-II low-frequency synthetic aperture radar (SAR) and multispectral optical Landsat ETM+ satellite data was evaluated and compared with aerial photo-interpretation. The study was performed in coniferous-dominated hemi-boreal forests at a test site located in southern Sweden. The stem volume for the stands included in the analysis was in the range of 15-585 m3 ha-1 (average 266 m3 ha-1) and the average size of the stands was 3.5 ha. Regression analysis was used to develop stem volume models. The accuracy in terms of root mean square error (RMSE) was found to be 18.5% (of the average stem volume) for CARABAS-II, 24.8% for Landsat ETM+, and 14.3% for the combination. CARABAS-II gave the best results for high stem volumes, and Landsat ETM+ was more accurate for lower stem volumes. Hence, the two data sources supplement each other providing in combination better results over the whole range of stem volumes. Using conventional aerial photo-interpretation in panchromatic photographs for stem volume estimation the RMSE was found to be 23.7% (21.1% after correction for systematic errors). In conclusion, the method of combining airborne low-frequency SAR and optical satellite data for stem volume estimation gave an accuracy that was significantly better than aerial photo-interpretation and comparable with airborne laser scanning.
机译:使用机载CARABAS-II低频合成孔径雷达(SAR)和多光谱光学Landsat ETM +卫星数据相结合的方法对林木茎体积进行了评估,并将其与航空照片解释进行了比较。这项研究是在瑞典南部的一个测试地点,在针叶林为主的半北方森林中进行的。分析中所含林分的茎体积在15-585 m 3 ha -1 范围内(平均266 m 3 ha -1 ),林分的平均大小为3.5公顷。回归分析用于建立茎体积模型。发现,根据均方根误差(RMSE)的准确性,CARABAS-II为(平均茎体积的)18.5%,Landsat ETM +为24.8%,组合为14.3%。 CARABAS-II在高茎量时表现最佳,而Landsat ETM +在低茎量时更准确。因此,两个数据源相互补充,在整个茎体积范围内提供了更好的组合结果。使用全色照片中的传统航空照片解释进行茎体积估计,发现RMSE为23.7%(校正系统误差后为21.1%)。总之,将机载低频SAR和光学卫星数据相结合以进行茎量估计的方法所提供的准确度明显优于航空照片解释,并且可与机载激光扫描相媲美。

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