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Relationships between tropical forest structure and remotely sensed synthetic aperture radar data.

机译：热带森林结构与遥感合成孔径雷达数据之间的关系。

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Relationships among forest structural parameters and SAR data were investigated in stands of swamp forest in Georgia and in tropical forest in eastern and central Amazon to evaluate the feasibility of retrieval of information about forest structure and canopy characteristics with radar data. Tree abundance and stem diameter at breast height (dbh) were measured and parameters of dbh distribution, stem density and basal area were calculated for different stands in each site. Hemispherical images of the stand canopies were registered in the field simultaneously to the SAR data acquisition. Canopy gap fraction was calculated by the integration of the fraction of the hemisphere with unobstructed view of the sky. SAR acquisitions were made for C band HH and VV in eastern Amazon, polarimetric L and C bands in central Amazon and polarimetric C, L and P bands in Georgia. Canopy gap fraction had significant negative correlations with stem density and with the slope of dbh histogram at all three sites, indicating that light penetration to the forest floor is controled by the understory. In the Amazon, significant correlations (P {dollar}<{dollar} 0.05) between SAR data and forest parameters were found at C band. Canopy gap fraction had significant negative correlation with CVV (r{dollar}sp2{dollar} = 0.61), in central Amazon and with the ratio CVV/(CHH+CVV) (r{dollar}sp2{dollar} = 0.85) in eastern Amazon. In central Amazon, basal area had significant negative correlations with CHV (r{dollar}sp2{dollar} = 0.72) and with the ratio LHV/CHV (r{dollar}sp2{dollar} = 90). The relationships between SAR backscatter and canopy gap fraction, the better results found with C band than with L band, and the better relation of cross-polarized backscattering with basal area, indicate that in tropical forests, radar interacts predominantely with the canopy layer in L and C band.
机译：在佐治亚州的沼泽森林和亚马逊东部和中部的热带森林中调查了森林结构参数与SAR数据之间的关系，以评估利用雷达数据检索有关森林结构和林冠特征的信息的可行性。测量树木的丰度和乳房高度处的茎直径（dbh），并针对每个站点的不同林分计算dbh分布，茎密度和基础面积的参数。站立天篷的半球图像在现场与SAR数据采集同时记录。通过对半球部分与天空无遮挡部分的积分来计算冠层间隙部分。 SAR采集了亚马逊东部的HH和VV波段，亚马逊中部的极化L和C波段以及乔治亚州的极化C，L和P波段。在所有三个位置，冠层间隙分数与茎密度和dbh直方图的斜率均具有显着的负相关性，表明对林底的光穿透受下层控制。在亚马逊地区，在C波段发现了SAR数据与森林参数之间的显着相关性（P {dollar} <{dollar} 0.05）。在亚马逊河中部，冠层间隙分数与CVV（r {dollar} sp2 {dollar} = 0.61）呈负相关，在东部东部与CVV /（CHH + CVV）比（r {dollar} sp2 {dollar} = 0.85）呈显着负相关。亚马逊在亚马逊中部，基底面积与CHV（r {dollar} sp2 {dollar} = 0.72）和比率LHV / CHV（r {dollar} sp2 {dollar} = 90）呈显着负相关。 SAR背向散射与冠层间隙分数之间的关系，C波段比L波段更好的结果以及交叉极化背向散射与基面积的更好关系，这表明在热带森林中，雷达主要与L层的冠层相互作用和C乐队。

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