Projects per year
Abstract
Data from the new hyperspectral satellite missions such as EnMAP are anticipated to refine leaf area index (LAI) or canopy closure (CC) monitoring in conifer-dominated forest areas. We compared contemporaneous multispectral and hyperspectral satellite images from Sentinel-2 MSI (S2) and EnMAP and assessed whether hyperspectral images offer added value in estimating LAI, effective LAI (LAIeff), and CC in a European boreal forest area. The estimations were performed using univariate and multivariate generalized additive models. The models utilized field measurements of LAI and CC from 38 forest plots and an extensive set of vegetation indices (VIs) derived from the satellite data. The best univariate models for each of the three response variables had small differences between the two sensors, but in general, EnMAP had more well-performing VIs which was reflected in the better multivariate model performances. The best performing multivariate models with the EnMAP data had ~1–6% lower relative RMSEs than S2. Wavelengths near the green, red-edge, and shortwave infrared regions were frequently utilized in estimating LAI, LAIeff, and CC with EnMAP data. Because EnMAP could estimate LAI better, the results suggest that EnMAP may be more useful than multispectral satellite sensors, such as S2, in monitoring biophysical variables of coniferous-dominated forests. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Original language | English |
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Article number | 2432975 |
Number of pages | 15 |
Journal | European Journal of Remote Sensing |
Volume | 57 |
Issue number | 1 |
DOIs | |
Publication status | Published - 27 Nov 2024 |
MoE publication type | A1 Journal article-refereed |
Keywords
- EnMAP
- LAI
- Sentinel-2
- canopy cover
- coniferous
- hyperspectral
- Coniferous
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BIOFORALB: Metsien monimuotoisuus ja albedo: hyperspektriteknologioista ilmastohyötyihin
Hovi, A. (Principal investigator) & Juola, J. (Project Member)
01/01/2024 → 31/12/2026
Project: Domestic funds and foundations
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FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra
Rautiainen, M. (Principal investigator), Hovi, A. (Project Member), Juola, J. (Project Member), Mercier, A. (Project Member), Salko, S.-S. (Project Member), Rönkkö, J. (Project Member), Karlqvist, S. (Project Member) & Schraik, D. (Project Member)
01/05/2018 → 30/04/2024
Project: EU: ERC grants