A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland

To understand forest dynamics under today’s changing environmental conditions, it is important to analyze the state of forests at large scales. Forest inventories are not available for all regions, so it is important to use other additional methods, e.g., remote sensing observations. Increasingly, r...

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Published in:Remote Sensing
Main Authors: Hans Henniger, Friedrich J. Bohn, Kim Schmidt, Andreas Huth
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/rs15123078
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spelling ftmdpi:oai:mdpi.com:/2072-4292/15/12/3078/ 2023-08-20T04:07:41+02:00 A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland Hans Henniger Friedrich J. Bohn Kim Schmidt Andreas Huth agris 2023-06-12 application/pdf https://doi.org/10.3390/rs15123078 EN eng Multidisciplinary Digital Publishing Institute Forest Remote Sensing https://dx.doi.org/10.3390/rs15123078 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 12; Pages: 3078 forest model radiative transfer vegetation indices individual-based forest reflectance Text 2023 ftmdpi https://doi.org/10.3390/rs15123078 2023-08-01T10:27:10Z To understand forest dynamics under today’s changing environmental conditions, it is important to analyze the state of forests at large scales. Forest inventories are not available for all regions, so it is important to use other additional methods, e.g., remote sensing observations. Increasingly, remotely sensed data based on optical instruments and airborne LIDAR are becoming widely available for forests. There is great potential in analyzing these measurements and gaining an understanding of forest states. In this work, we combine the new-generation radiative transfer model mScope with the individual-based forest model FORMIND to generate reflectance spectra for forests. Combining the two models allows us to account for species diversity at different height layers in the forest. We compare the generated reflectances for forest stands in Finland, in the region of North Karelia, with Sentinel-2 measurements. We investigate which level of forest representation gives the best results and explore the influence of different calculation methods of mean leaf parameters. For the majority of the forest stands, we generated good reflectances with all levels of forest representation compared to the measured reflectance. Good correlations were also found for the vegetation indices (especially NDVI with R2=0.62). This work provides a forward modeling approach for relating forest reflectance to forest characteristics. With this tool, it is possible to analyze a large set of forest stands with corresponding reflectances. This opens up the possibility to understand how reflectance is related to succession and different forest conditions. Text karelia* MDPI Open Access Publishing Remote Sensing 15 12 3078
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic forest model
radiative transfer
vegetation indices
individual-based
forest reflectance
spellingShingle forest model
radiative transfer
vegetation indices
individual-based
forest reflectance
Hans Henniger
Friedrich J. Bohn
Kim Schmidt
Andreas Huth
A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
topic_facet forest model
radiative transfer
vegetation indices
individual-based
forest reflectance
description To understand forest dynamics under today’s changing environmental conditions, it is important to analyze the state of forests at large scales. Forest inventories are not available for all regions, so it is important to use other additional methods, e.g., remote sensing observations. Increasingly, remotely sensed data based on optical instruments and airborne LIDAR are becoming widely available for forests. There is great potential in analyzing these measurements and gaining an understanding of forest states. In this work, we combine the new-generation radiative transfer model mScope with the individual-based forest model FORMIND to generate reflectance spectra for forests. Combining the two models allows us to account for species diversity at different height layers in the forest. We compare the generated reflectances for forest stands in Finland, in the region of North Karelia, with Sentinel-2 measurements. We investigate which level of forest representation gives the best results and explore the influence of different calculation methods of mean leaf parameters. For the majority of the forest stands, we generated good reflectances with all levels of forest representation compared to the measured reflectance. Good correlations were also found for the vegetation indices (especially NDVI with R2=0.62). This work provides a forward modeling approach for relating forest reflectance to forest characteristics. With this tool, it is possible to analyze a large set of forest stands with corresponding reflectances. This opens up the possibility to understand how reflectance is related to succession and different forest conditions.
format Text
author Hans Henniger
Friedrich J. Bohn
Kim Schmidt
Andreas Huth
author_facet Hans Henniger
Friedrich J. Bohn
Kim Schmidt
Andreas Huth
author_sort Hans Henniger
title A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
title_short A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
title_full A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
title_fullStr A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
title_full_unstemmed A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland
title_sort new approach combining a multilayer radiative transfer model with an individual-based forest model: application to boreal forests in finland
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/rs15123078
op_coverage agris
genre karelia*
genre_facet karelia*
op_source Remote Sensing; Volume 15; Issue 12; Pages: 3078
op_relation Forest Remote Sensing
https://dx.doi.org/10.3390/rs15123078
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs15123078
container_title Remote Sensing
container_volume 15
container_issue 12
container_start_page 3078
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