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Estimation of trees height and vertical structure using SAR interferometry in uneven-aged and mixed forests
Environmental Monitoring and Assessment ( IF 2.9 ) Pub Date : 2021-04-24 , DOI: 10.1007/s10661-021-09095-x
Naimeh Rahimizadeh , Mahmod Reza Sahebi , Sasan Babaie Kafaky , Asadollah Mataji

Estimation of forest height is an important parameter of stands structure that aids in the determination of forest biomass, successional stage dynamics, and the decision of the type of forest management. In addition, estimating the height of trees especially in uneven-aged, massive, and multi-storied forest stands always faces challenges in kind of inventory and accuracy of the assessment. In this research, the synthetic aperture radar (SAR) interferometry technique was used to estimate the height of trees for determining the vertical structure of forest. For this purpose, we focused on an area at the mixed and uneven-aged forest in Iran and evaluated the potential of Envisat ASAR data to characterize the tree height in the forest patches and the digital surface model (DSM) was produced via SAR interferometry. The height of trees and the vertical structure of the forest stands were estimated using produced DSM and Digital elevation Model (DEM). Furthermore, the accuracy of estimated parameters was evaluated with real ground data (11 × 1 ha (100 × 100 m) sample plots). The results indicated that the estimated height of trees was meanly 7.69 m with a 22 m STDV over the reality. Furthermore, the vertical structure in all the plots was three-storied that they are the same as ground truth, but the percentage of the share of trees in the under and middle story was different from the ground truth. In conclusion, the tree height and vertical structure of forest stands can be determined with acceptable accuracy via SAR interferometry and Envisat ASAR data.



中文翻译:

利用SAR干涉法估算年龄和混交林中的树木高度和垂直结构。

林高的估算是林分结构的重要参数,有助于确定森林生物量,演替阶段动态以及确定森林经营类型。另外,估计树木的高度,尤其是在年龄不均,块状且多层的林分中,在存量和评估准确性方面总是面临挑战。在这项研究中,使用合成孔径雷达(SAR)干涉测量技术来估计树木的高度,以确定森林的垂直结构。为此,我们重点研究了伊朗混龄和不均年龄森林的区域,并评估了Envisat ASAR数据表征森林斑块树高的潜力,并通过SAR干涉测量法生成了数字表面模型(DSM)。使用生产的DSM和数字高程模型(DEM)估算树木的高度和林分的垂直结构。此外,使用实际地面数据(11×1公顷(100×100 m)样地)评估了估计参数的准确性。结果表明,树木的估计高度平均为7.69 m,实际情况下的STDV为22 m。此外,所有地块的垂直结构都是三层的,它们与地面真相相同,但是在地下和中间层中树木所占的百分比与地面真相不同。总之,可以通过SAR干涉测量法和Envisat ASAR数据以可接受的精度确定林分的树高和垂直结构。此外,使用实际地面数据(11×1公顷(100×100 m)样地)评估了估计参数的准确性。结果表明,树木的估计高度平均为7.69 m,实际情况下的STDV为22 m。此外,所有地块的垂直结构都是三层的,它们与地面真相相同,但是在地下和中间层中树木所占的百分比与地面真相不同。总之,可以通过SAR干涉测量法和Envisat ASAR数据以可接受的精度确定林分的树高和垂直结构。此外,使用实际地面数据(11×1公顷(100×100 m)样地)评估了估计参数的准确性。结果表明,树木的估计高度平均为7.69 m,实际情况下的STDV为22 m。此外,所有地块的垂直结构都是三层的,它们与地面真相相同,但是在地下和中间层中树木所占的百分比与地面真相不同。总之,可以通过SAR干涉测量法和Envisat ASAR数据以可接受的精度确定林分的树高和垂直结构。所有地块的垂直结构都是三层的,它们与地面真相相同,但是在地下和中间层中树木所占的百分比与地面真相不同。总之,可以通过SAR干涉测量法和Envisat ASAR数据以可接受的精度确定林分的树高和垂直结构。所有地块的垂直结构都是三层的,它们与地面真相相同,但是在地下和中间层中树木所占的百分比与地面真相不同。总之,可以通过SAR干涉测量法和Envisat ASAR数据以可接受的精度确定林分的树高和垂直结构。

更新日期:2021-04-26
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