波段配置和季节性对利用无人机系统图像数据预测常见北方树种的影响

IF 2.5 3区 农林科学 Q1 FORESTRY Annals of Forest Science Pub Date : 2024-09-11 DOI:10.1186/s13595-024-01251-w
Mikko Kukkonen, Mari Myllymäki, Janne Räty, Petri Varvia, Matti Maltamo, Lauri Korhonen, Petteri Packalen
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引用次数: 0

摘要

关键信息遥感产品的数据采集是现代森林资源清查的重要组成部分。光学遥感数据的质量和特性在针对树种的清查中得到进一步强调,不同树种的鉴别基于其光谱特性的差异。此外,物候也会影响常绿树和落叶树在不同季节的光谱特性。如果不考虑传感器配置和数据采集时间方面的这些干扰因素,可能会导致意想不到的复杂情况。本文探讨了在以挪威云杉和苏格兰松为主、落叶树较少的北方林区,数据采集时间和传感器特性如何影响树种比例和体积的预测。 研究目的 本研究旨在探讨季节性和不同光学波段配置与北方常见树种预测性能之间的地块关系。研究在一个 40 公顷的研究区域内进行,采用了系统取样的圆形田间小块。方法在生长季节的三个阶段:前期(春季)、中期(夏季)和末期(秋季),通过重复采集遥感数据来预测树种比例(0-1)和体积(m3 ha-1)。传感器波段配置包括传统的 RGB 和多光谱(MS)。使用零一膨胀贝塔回归和高斯过程回归分析了不同波长(红、绿、蓝、近红外和红边)的重要性以及不同波段配置的预测性能。与其他季节相比,采集夏季数据时,MS 数据的预测误差略低,而这一时期则不太适合采集 RGB 数据。春季是采集 MS 和 RGB 数据进行树种特异性预测的最不理想季节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data

Key message

Data acquisition of remote sensing products is an essential component of modern forest inventories. The quality and properties of optical remote sensing data are further emphasised in tree species-specific inventories, where the discrimination of different tree species is based on differences in their spectral properties. Furthermore, phenology affects the spectral properties of both evergreen and deciduous trees through seasons. These confounding factors in both sensor configuration and timing of data acquisition can result in unexpectedly complicated situations if not taken into consideration. This paper examines how the timing of data acquisition and sensor properties influence the prediction of tree species proportions and volumes in a boreal forest area dominated by Norway spruce and Scots pine, with a smaller presence of deciduous trees.

Context

The effectiveness of remote sensing for vegetation mapping depends on the properties of the survey area, mapping objectives and sensor configuration.

Aims

The objective of this study was to investigate the plot-level relationship between seasonality and different optical band configurations and prediction performance of common boreal tree species. The study was conducted on a 40-ha study area with a systematically sampled circular field plots.

Methods

Tree species proportions (0–1) and volumes (m3 ha−1) were predicted with repeated remote sensing data collections in three stages of the growing season: prior (spring), during (summer) and end (autumn). Sensor band configurations included conventional RGB and multispectral (MS). The importance of different wavelengths (red, green, blue, near-infrared and red-edge) and predictive performance of the different band configurations were analysed using zero–one-inflated beta regression and Gaussian process regression.

Results

Prediction errors of broadleaves were most affected by band configuration, MS data resulting in lower prediction errors in all seasons. The MS data exhibited slightly lower prediction errors with summer data acquisition compared to other seasons, whereas this period was found to be less suitable for RGB data.

Conclusion

The MS data was found to be much less affected by seasonality than the RGB data. Spring was found to be the least optimal season to collect MS and RGB data for tree species-specific predictions.

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来源期刊
Annals of Forest Science
Annals of Forest Science 农林科学-林学
CiteScore
6.70
自引率
3.30%
发文量
45
审稿时长
12-24 weeks
期刊介绍: Annals of Forest Science is an official publication of the French National Institute for Agriculture, Food and Environment (INRAE) -Up-to-date coverage of current developments and trends in forest research and forestry Topics include ecology and ecophysiology, genetics and improvement, tree physiology, wood quality, and silviculture -Formerly known as Annales des Sciences Forestières -Biology of trees and associated organisms (symbionts, pathogens, pests) -Forest dynamics and ecosystem processes under environmental or management drivers (ecology, genetics) -Risks and disturbances affecting forest ecosystems (biology, ecology, economics) -Forestry wood chain (tree breeding, forest management and productivity, ecosystem services, silviculture and plantation management) -Wood sciences (relationships between wood structure and tree functions, and between forest management or environment and wood properties)
期刊最新文献
A growth-effective age-based periodic site-index for the estimation of dynamic forest site productivity under environmental changes Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data Potential processes leading to winter reddening of young Douglas-fir Pseudotsuga menseizii in Europe Do leaf lignin content or leaf mass-to-area bias the estimation of intrinsic water use efficiency from leaf bulk δ13C? A test with seedlings from five oak species Genetic structure of the European white elm (Ulmus laevis Pall., Ulmaceae) in Switzerland
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