Assessing Performance of Tomo-SAR and Backscattering Coefficient for Hemi-Boreal Forest Aboveground Biomass Estimation
Assessing Performance of Tomo-SAR and Backscattering Coefficient for Hemi-Boreal Forest Aboveground Biomass Estimation
复制标题
半北方森林地上生物量估算的 Tomo-SAR 和后向散射系数性能评估
DOI：
10.1007/s12524-015-0468-y
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发表时间：
2016-11
影响因子：
2.5
通讯作者：
Chang Jiang
中科院分区：
文献类型：
--
作者：
Wenmei Li;Erxue Chen;Zengyuan Li;Wangfei Zhang;Chang Jiang
Tomo-SAR技术已被用于半北方森林高度的估算，并通过异速生长方程进一步估算森林生物量。后向散射系数，尤其是波长较长的后向散射系数（L-或p -波段）被认为是半北方森林生物量反演的有用参数。本文的目的是评估垂直后向散射功率和后向散射系数在利用机载p波段数据估算半北方森林地上生物量（AGB）中的性能。试验场位于瑞典南部的Remningstorp试验场，原位森林AGB在林分水平上从14 t/ha到245 t/ha不等。使用2007年3月和5月在Remningstorp试验场收集的多基线p波段Pol-InSAR重复路径模式数据。结果表明，p波段HH偏振后向散射系数与森林原位生物量的相关系数R达到0.87。p波段VV后向散射功率在5 m处的R为0.71,10 m处的R为0.72。利用HH极化后向散射系数和5 m和10 m垂直后向散射功率，通过反向逐步回归和交叉验证方法构建半北方森林AGB估算模型。结果表明，在Remningstorp试验场估算的森林AGB值在19 ~ 240 t/ha之间，模型的R值较高，RMSE值较小，R值为0.91，RMSE值为30.43 t/ha。
Tomo-SAR technique has been used for hemi-boreal forest height and further forest biomass estimation through allometric equation. Backscattering coefficient especially in longer wavelength (L- or P-band) is thought as a useful parameter for hemi-boreal forest biomass retrieval. The aim of this paper is to assess the performance of vertical backscattering power and backscattering coefficient for hemi-boreal forest aboveground biomass (AGB) estimation with airborne P-band data. The test site locates in southern Sweden called Remningstorp test site, and the in-situ forest AGB ranges from 14 t/ha to 245 t/ha at stand level. Multi-baseline P-band Pol-InSAR data in repeat-path mode collected during March and May in 2007 at Remningstorp test site was used. We found that the correlation coefficient (R) between backscattering coefficient of P-band HH polarization and the in-situ forest biomass reached 0.87. The R for P-band VV backscattering power at 5 m is 0.71 and 10 m is 0.72. Backscattering coefficient in HH polarization and vertical backscattering power at 5 m and 10 m were applied to construct a model for hemi-boreal forest AGB estimation by backward step-wise regression and cross-validation approach. The results showed that the estimated forest AGB ranges from 19 to 240 t/ha, and the constructed model obtained a higher R and smaller RMSE, the value of R is 0.91, RMSE is 30.43 t/ha at Remningstorp test site.
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影响因子：
13.5
作者：
S. Solberg;R. Astrup;T. Gobakken;E. Næsset;D. Weydahl
通讯作者：
S. Solberg;R. Astrup;T. Gobakken;E. Næsset;D. Weydahl
DOI：
--
发表时间：
2012-04
期刊：
--
影响因子：
--
作者：
H. T. M. Dinh;F. Rocca;S. Tebaldini;M. M. d'Alessandro-M.;T. Toan
通讯作者：
H. T. M. Dinh;F. Rocca;S. Tebaldini;M. M. d'Alessandro-M.;T. Toan
影响因子：
5.2
作者：
Lefsky, Michael A.
通讯作者：
Lefsky, Michael A.
影响因子：
8.2
作者：
M. Neumann;S. Saatchi;L. Ulander;J. Fransson
通讯作者：
M. Neumann;S. Saatchi;L. Ulander;J. Fransson
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影响因子：
8.2
作者：
Cloude, SR;Papathanassiou, KP
通讯作者：
Papathanassiou, KP