{"title":"How to determine the leaf area index (LAI) of forests: A comparison of forest inventory versus satellite-driven estimates","authors":"Muhammed Sinan, Hubert Hasenauer","doi":"10.1016/j.fecs.2025.100332","DOIUrl":null,"url":null,"abstract":"<div><div>Leaf area index (LAI) is a key measure of forest stand physiology and biomass production, and is essential within ecosystem modeling. There are two common approaches to obtaining LAI: (i) terrestrial forest inventory-based “bottom–up”, and (ii) satellite-based “top–down” techniques. The purpose of this study is to compare terrestrial LAI from allometric functions applied to more than 30,000 trees of the Austrian National Forest Inventory (NFI) vs. satellite-based LAI estimates obtained from moderate resolution imaging spectroradiometer (MODIS) and Sentinel (Sentinel-3 TOC reflectance and PROBA-V) data across Austrian forests. We analyzed a satellite pixel-to-plot aggregation and obtained the full inventory data set for the LAI comparison. The results suggest that terrestrial vs. satellite (MODIS and Sentinel) driven LAI estimates are consistent, but (i) the variation of the terrestrial forest inventory LAI is larger vs. the pixel average LAI from satellite data, and (ii) any satellite LAI estimation needs a forest stand density correction if the crown competition factor (CCF), a measure for stand density, is < 250 to avoid an overestimation in LAI.</div></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":"13 ","pages":"Article 100332"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Ecosystems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2197562025000417","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Leaf area index (LAI) is a key measure of forest stand physiology and biomass production, and is essential within ecosystem modeling. There are two common approaches to obtaining LAI: (i) terrestrial forest inventory-based “bottom–up”, and (ii) satellite-based “top–down” techniques. The purpose of this study is to compare terrestrial LAI from allometric functions applied to more than 30,000 trees of the Austrian National Forest Inventory (NFI) vs. satellite-based LAI estimates obtained from moderate resolution imaging spectroradiometer (MODIS) and Sentinel (Sentinel-3 TOC reflectance and PROBA-V) data across Austrian forests. We analyzed a satellite pixel-to-plot aggregation and obtained the full inventory data set for the LAI comparison. The results suggest that terrestrial vs. satellite (MODIS and Sentinel) driven LAI estimates are consistent, but (i) the variation of the terrestrial forest inventory LAI is larger vs. the pixel average LAI from satellite data, and (ii) any satellite LAI estimation needs a forest stand density correction if the crown competition factor (CCF), a measure for stand density, is < 250 to avoid an overestimation in LAI.
Forest EcosystemsEnvironmental Science-Nature and Landscape Conservation
CiteScore
7.10
自引率
4.90%
发文量
1115
审稿时长
22 days
期刊介绍:
Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.