基于异速生长面积的林分体积估算方法是一种经济有效的基于ALS和NFI数据的林分体积估算方法

IF 3 2区 农林科学 Q1 FORESTRY Forestry Pub Date : 2020-05-14 DOI:10.1093/forestry/cpz062
J. Socha, P. Hawryło, M. Pierzchalski, K. Stereńczak, G. Krok, P. Wężyk, Luiza Tymińska-Czabańska
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引用次数: 7

摘要

关于林分蓄积量的可靠信息是制定可持续森林管理战略决策的基础。利用多种遥感数据和不同的清查方法估算森林生物特征参数。特别是,机载激光扫描(ALS)点云被广泛应用于基于面积的方法(ABA)框架下的林分体积和森林生物量估算。该方法依赖于野外样地的参考测量,并以地面参考样地与相应ALS样地的精确共配为必要条件。本研究提出了基于异速生长面积的方法(AABA)来估算苏格兰松林的林分体积。所提出的方法不需要详细的野外图坐标信息。我们利用波兰国家森林清查数据,利用9400个圆形样地(400 m2)的林分体积异速生长模型,利用两个自变量:顶高(TH)和相对间距指数(RSI)建立样地水平林分体积异速生长模型。该模型采用多元线性回归方法,对变量进行对数-对数变换。假设TH和RSI的现场测量可以用相应的als衍生指标代替。假设TH可以用ALS点云的最大高度表示,而RSI可以根据ALS衍生的冠层高度模型内划定的树冠数来计算。将开发的AABA模型的性能与半经验ABASE(具有两个预测因子:TH和RSI)和经验ABAE(几个点云指标作为预测因子)进行比较。在样地水平上,利用315个森林管理调查样地(400平方米)对模型进行了验证,在林分水平上,利用来自波兰Milicz林区42个以苏格兰松为主的林分的完整野外测量数据对模型进行了验证。AABA模型显示出与传统ABA模型相当的精度,在图上具有较高的精度(相对均方根误差(RMSE) = 22.8%;R2 = 0.63)和林分水平(RMSE = 17.8%, R2 = 0.65)。提出的新方法减少了经典ABA方法所需的时间和成本消耗的野外工作,而不会显著降低林分体积估计的准确性。AABA可能适用于森林管理清查,而不需要在当地进行实地测量。该方法在其他物种和更复杂林分的可移植性需要在未来的研究中进一步探索。
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An allometric area-based approach—a cost-effective method for stand volume estimation based on ALS and NFI data
Reliable information concerning stand volume is fundamental to making strategic decisions in sustainable forest management. A variety of remotely sensed data and different inventory methods have been used for the estimation of forest biometric parameters. Particularly, airborne laser scanning (ALS) point clouds are widely used for the estimation of stand volume and forest biomass using an area-based approach (ABA) framework. This method relies on the reference measurements of field plots with the necessary prerequisite of a precise co-registration between ground reference plots and the corresponding ALS samples. In this research, the allometric area-based approach (AABA) is proposed in the context of stand volume estimation of Scots pine (Pinus sylvestris L.) stands. The proposed method does not require detailed information about the coordinates of the field plots. We applied Polish National Forest Inventory data from 9400 circular field plots (400 m2) to develop a plot level stand volume allometric model using two independent variables: top height (TH) and relative spacing index (RSI). The model was developed using the multiple linear regression method with a log–log transformation of variables. The hypothesis was that, the field measurements of TH and RSI could be replaced with corresponding ALS-derived metrics. It was assumed that TH could be represented by the maximum height of the ALS point cloud, while RSI can be calculated based on the number of tree crowns delineated within the ALS-derived canopy height model. Performance of the developed AABA model was compared with the semi-empirical ABASE (with two predictors: TH and RSI) and empirical ABAE (several point cloud metrics as predictors). The models were validated at the plot level using 315 forest management inventory plots (400 m2) and at the stand level using the complete field measurements from 42 Scots pine dominated forest stands in the Milicz forest district (Poland). The AABA model showed a comparable accuracy to the traditional ABA models with relatively high accuracy at the plot (relative root mean square error (RMSE) = 22.8 per cent; R2 = 0.63) and stand levels (RMSE = 17.8 per cent, R2 = 0.65). The proposed novel approach reduces time- and cost-consuming field work required for the classic ABA method, without a significant reduction in the accuracy of stand volume estimations. The AABA is potentially applicable in the context of forest management inventory without the necessity for field measurements at local scale. The transportability of the approach to other species and more complex stands needs to be explored in future studies.
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来源期刊
Forestry
Forestry 农林科学-林学
CiteScore
6.70
自引率
7.10%
发文量
47
审稿时长
12-24 weeks
期刊介绍: The journal is inclusive of all subjects, geographical zones and study locations, including trees in urban environments, plantations and natural forests. We welcome papers that consider economic, environmental and social factors and, in particular, studies that take an integrated approach to sustainable management. In considering suitability for publication, attention is given to the originality of contributions and their likely impact on policy and practice, as well as their contribution to the development of knowledge. Special Issues - each year one edition of Forestry will be a Special Issue and will focus on one subject in detail; this will usually be by publication of the proceedings of an international meeting.
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