Version 1
: Received: 9 May 2023 / Approved: 10 May 2023 / Online: 10 May 2023 (11:31:02 CEST)
Version 2
: Received: 9 June 2023 / Approved: 12 June 2023 / Online: 12 June 2023 (03:41:12 CEST)
Henniger, H.; Bohn, F.J.; Schmidt, K.; Huth, A. A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland. Remote Sens.2023, 15, 3078.
Henniger, H.; Bohn, F.J.; Schmidt, K.; Huth, A. A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland. Remote Sens. 2023, 15, 3078.
Henniger, H.; Bohn, F.J.; Schmidt, K.; Huth, A. A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland. Remote Sens.2023, 15, 3078.
Henniger, H.; Bohn, F.J.; Schmidt, K.; Huth, A. A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland. Remote Sens. 2023, 15, 3078.
Abstract
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 sources of information, 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 forests state. 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. For the majority of the forest stands, we generated good reflectances with all levels 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 modelling tool for relating forest reflectance to forest characteristics. With this tool it is possible to generate a large set of forest stands with corresponding reflectances. This opens the possibility to understand how reflectance is related to succession and different forest conditions.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
12 June 2023
Commenter:
Hans Henniger
Commenter's Conflict of Interests:
Author
Comment:
Changes concerning description of height layers. Addition of figures concerning background information e.g. used tree allometries. All changes occur due to review process.
Commenter: Hans Henniger
Commenter's Conflict of Interests: Author