接近森林制图的统计推断技术。方法综述

R. M. D. Biase, L. Fattorini, M. Marchi
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引用次数: 13

摘要

越来越多的免费或低成本遥感数据可用作辅助数据,以便对森林属性进行空间化和改进估计,而无需增加采样工作和成本。本文综述了森林制图的主要统计推断技术。本文综述了目前最常用的基于单一空间信息的森林制图方法以及利用遥感数据辅助信息的森林制图技术。每种方法的优点和缺点都在几个因素的基础上进行了描述,例如调查的目的和审查的领域。这里讨论了两个主要组,一方面是基于模型的方法,另一方面是模型辅助方法,将注意力从用于插值曲面的模型转移到采样方案上。基于模型的方法包括kriging、局部加权回归、K-NN、决策树和神经网络,而在模型辅助组中提出了逆距离加权插值器。关于森林特征的可靠和最新信息是任何决策过程的必备工具。这种系统的主要输入数据是描绘森林空间结构和其他元素的完整地图。实际上,如果森林清查的最初目的是估计可采伐木材的数量,那么对多用途调查的普遍兴趣是强制性的。这些信息必须处理成本增加和程序更耗时的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical inferential techniques for approaching forest mapping. A review of methods
The increasing availability of remote sensing data at no or low costs can be used as ancillary data in order to spatialize and improve the estimation of forest attributes and without increasing the sampling effort and costs. In this review paper, a description of the main statistical inferential techniques for approaching forest mapping is proposed. This article reviews the most used forest mapping methods based on the sole spatial information as well as techniques exploiting auxiliary information from remotely sensed data. The advantages and drawbacks of each method have been described on the basis of several factors, such as the aims of the investigation and the area under examination. Two main groups were here discussed with model-based methods on one side and model-assisted methods on the other, moving the attention from the model used to interpolate surfaces to the sampling scheme. Model-based methods include kriging, locally weighted regression, K-NN, decision trees and neural networks, while the inverse distance weighting interpolator is presented in the model-assisted group. Reliable and up-to-date information on forest characteristics are mandatory tools for any decisional process. The main input data of such systems are wall-to-wall maps depicting the spatial structures of forests and additional elements. Actually, if the original aim of forest inventories was to estimate harvestable timber amounts, a general interest towards multipurpose surveys is mandatory. Such information must deal with increased costs and more time-consuming procedures.
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来源期刊
Annals of Silvicultural Research
Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry
CiteScore
2.70
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