Estimating canopy fuels across Europe with satellite data and allometric equations
This study presents results regarding the estimation of two critical variables for modelling fire behaviour and fire danger: the canopy base height (CBH) and the canopy bulk density (CBD). Both variables have been mapped as raster datasets at a 100-meter spatial resolution across Europe, harmonizing...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-3-2024/279/2024/isprs-archives-XLVIII-3-2024-279-2024.pdf |
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| author | E. Kutchartt E. Kutchartt J. R. González-Olabarria J. R. González-Olabarria N. Aquilué N. Aquilué A. Trasobares F. Pirotti F. Pirotti |
| author_facet | E. Kutchartt E. Kutchartt J. R. González-Olabarria J. R. González-Olabarria N. Aquilué N. Aquilué A. Trasobares F. Pirotti F. Pirotti |
| author_sort | E. Kutchartt |
| collection | DOAJ |
| description | This study presents results regarding the estimation of two critical variables for modelling fire behaviour and fire danger: the canopy base height (CBH) and the canopy bulk density (CBD). Both variables have been mapped as raster datasets at a 100-meter spatial resolution across Europe, harmonizing data for all EU countries. Therefore, these canopy fuels are subsequently used for further processing regarding the identification of fire danger assessment, being a key input for forest fire prevention actions. A more in-depth analysis of these findings has been submitted to a journal and is currently in a revision phase. We present here a summary of the results and ideas for future developments. The overall study consists of estimating CBH and CBD using Earth observation products combined with artificial intelligence and species-specific allometric equations, applied geo-spatially using a tree species map of Europe encompassing the 16 most important tree species. Validation was carried out by comparing the results with higher-accuracy sampling methods, combining LiDAR data and field measurements in different European latitudes, typically applied on a smaller scale and with greater detail. Results show, as expected, a higher level of uncertainty than local methods, but they are still applicable to the European scale for which they were implemented. The accuracies reported in our study, when considering aggregated data on the 7 areas in Portugal were the following: R = 0.75, RMSE = 0.890 m, and MAPE = 54% for the mean CBH, and R = 0.93, RMSE = 0.020 kg m<sup>−3</sup>, and MAPE = 57% for the mean CBD. |
| format | Article |
| id | doaj-art-8d12ac3168a14a4ca2cd5fb512dddc81 |
| institution | OA Journals |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-8d12ac3168a14a4ca2cd5fb512dddc812025-08-20T02:12:46ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-11-01XLVIII-3-202427928510.5194/isprs-archives-XLVIII-3-2024-279-2024Estimating canopy fuels across Europe with satellite data and allometric equationsE. Kutchartt0E. Kutchartt1J. R. González-Olabarria2J. R. González-Olabarria3N. Aquilué4N. Aquilué5A. Trasobares6F. Pirotti7F. Pirotti8Forest Science and Technology Centre of Catalonia (CTFC). Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainDepartment of Land, Environment, Agriculture and Forestry (TESAF), University of Padova. Via dell’Università 16, 35020 Legnaro, ItalyForest Science and Technology Centre of Catalonia (CTFC). Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainJoint Research Unit CTFC – AGROTECNIO. Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainForest Science and Technology Centre of Catalonia (CTFC). Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainJoint Research Unit CTFC – AGROTECNIO. Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainForest Science and Technology Centre of Catalonia (CTFC). Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, SpainDepartment of Land, Environment, Agriculture and Forestry (TESAF), University of Padova. Via dell’Università 16, 35020 Legnaro, ItalyInterdepartmental Research Center of Geomatics (CIRGEO), University of Padova. Via dell’Università 16, 35020 Legnaro, ItalyThis study presents results regarding the estimation of two critical variables for modelling fire behaviour and fire danger: the canopy base height (CBH) and the canopy bulk density (CBD). Both variables have been mapped as raster datasets at a 100-meter spatial resolution across Europe, harmonizing data for all EU countries. Therefore, these canopy fuels are subsequently used for further processing regarding the identification of fire danger assessment, being a key input for forest fire prevention actions. A more in-depth analysis of these findings has been submitted to a journal and is currently in a revision phase. We present here a summary of the results and ideas for future developments. The overall study consists of estimating CBH and CBD using Earth observation products combined with artificial intelligence and species-specific allometric equations, applied geo-spatially using a tree species map of Europe encompassing the 16 most important tree species. Validation was carried out by comparing the results with higher-accuracy sampling methods, combining LiDAR data and field measurements in different European latitudes, typically applied on a smaller scale and with greater detail. Results show, as expected, a higher level of uncertainty than local methods, but they are still applicable to the European scale for which they were implemented. The accuracies reported in our study, when considering aggregated data on the 7 areas in Portugal were the following: R = 0.75, RMSE = 0.890 m, and MAPE = 54% for the mean CBH, and R = 0.93, RMSE = 0.020 kg m<sup>−3</sup>, and MAPE = 57% for the mean CBD.https://isprs-archives.copernicus.org/articles/XLVIII-3-2024/279/2024/isprs-archives-XLVIII-3-2024-279-2024.pdf |
| spellingShingle | E. Kutchartt E. Kutchartt J. R. González-Olabarria J. R. González-Olabarria N. Aquilué N. Aquilué A. Trasobares F. Pirotti F. Pirotti Estimating canopy fuels across Europe with satellite data and allometric equations The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Estimating canopy fuels across Europe with satellite data and allometric equations |
| title_full | Estimating canopy fuels across Europe with satellite data and allometric equations |
| title_fullStr | Estimating canopy fuels across Europe with satellite data and allometric equations |
| title_full_unstemmed | Estimating canopy fuels across Europe with satellite data and allometric equations |
| title_short | Estimating canopy fuels across Europe with satellite data and allometric equations |
| title_sort | estimating canopy fuels across europe with satellite data and allometric equations |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-3-2024/279/2024/isprs-archives-XLVIII-3-2024-279-2024.pdf |
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