Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests

IF 1.5 4区 农林科学 Q2 FORESTRY
Ferhat Bolat, Sinan Bulut, A. Günlü, İlker Ercanli, M. Şenyurt
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引用次数: 7

Abstract

Background: The use of satellite imagery to quantify forest metrics has become popular because of the high costs associated with the collection of data in the field.Methods: Multiple linear regression (MLR) and regression kriging (RK) techniques were used for the spatial interpolation of basal area (G) and growing stock volume (GSV) based on Landsat 8 and Sentinel-2. The performance of the models was tested using the repeated k-fold cross-validation method.Results: The prediction accuracy of G and GSV was strongly related to forest vegetation structure and spatial dependency. The nugget value of semivariograms suggested a moderately spatial dependence for both variables (nugget/sill ratio approx. 70%). Landsat 8 and Sentinel-2 based RK explained approximately 52% of the total variance in G and GSV. Root-mean-square errors were 7.84 m2 ha-1 and 49.68 m3 ha-1 for G and GSV, respectively.Conclusions: The diversity of stand structure particularly at the poorer sites was considered the principal factor decreasing the prediction quality of G and GSV by RK.
基于遥感数据、地形指数和黑松林森林存量的回归克里格法改进基底面积和生长蓄积量估计
背景:由于在实地收集数据的费用高昂,使用卫星图像来量化森林指标已变得流行。方法:基于Landsat 8和Sentinel-2卫星,采用多元线性回归(MLR)和回归克里格(RK)技术对基片面积(G)和生长量(GSV)进行空间插值。采用重复k-fold交叉验证方法检验模型的性能。结果:G和GSV的预测精度与森林植被结构和空间依赖性密切相关。半变函数的块金值表明两个变量具有适度的空间依赖性(块金/基岩比约为)。70%)。基于Landsat 8和Sentinel-2的RK解释了G和GSV总方差的约52%。G和GSV的均方根误差分别为7.84 m2 ha-1和49.68 m3 ha-1。结论:林分结构的多样性是影响RK预测G和GSV质量的主要因素。
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来源期刊
CiteScore
2.20
自引率
13.30%
发文量
20
审稿时长
39 weeks
期刊介绍: The New Zealand Journal of Forestry Science is an international journal covering the breadth of forestry science. Planted forests are a particular focus but manuscripts on a wide range of forestry topics will also be considered. The journal''s scope covers forestry species, which are those capable of reaching at least five metres in height at maturity in the place they are located, but not grown or managed primarily for fruit or nut production.
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