A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data
Live Fuel Moisture Content (LFMC) describes the amount of water present in any type of vegetation and helps quantify the amount of fuel available in a wildfire. In this paper, a multivariate linear regression model was built to estimate the LFMC of the weighted average of all shrub-type species pres...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Environmental Sciences Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4931/28/1/12 |
| _version_ | 1797241098107617280 |
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| author | Kenneth Pachacama-Vallejo Ángel Balaguer-Beser |
| author_facet | Kenneth Pachacama-Vallejo Ángel Balaguer-Beser |
| author_sort | Kenneth Pachacama-Vallejo |
| collection | DOAJ |
| description | Live Fuel Moisture Content (LFMC) describes the amount of water present in any type of vegetation and helps quantify the amount of fuel available in a wildfire. In this paper, a multivariate linear regression model was built to estimate the LFMC of the weighted average of all shrub-type species present, using the fraction of canopy cover (FCC) of each forest species as weights. Sample training was conducted with field data obtained during the fire season of the years 2019, 2020 and 2021 in 15 plots of a Mediterranean area where vegetation composed of the shrub-type species dominates. Different spectral indices extracted from Sentinel-2 together with the mean surface temperature, the accumulated precipitation and the seasonal parameters were considered as predictors. The results were compared with the extrapolation of another model trained with field data collected in the year 2019. |
| first_indexed | 2024-04-24T18:17:55Z |
| format | Article |
| id | doaj.art-46f29938eb5548c8a6fc057f32b838ec |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-04-24T18:17:55Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-46f29938eb5548c8a6fc057f32b838ec2024-03-27T13:37:43ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-12-012811210.3390/environsciproc2023028012A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing DataKenneth Pachacama-Vallejo0Ángel Balaguer-Beser1Geo-Enviromental Cartography and Remote Sensing Group (CGAT-UPV), Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainGeo-Enviromental Cartography and Remote Sensing Group (CGAT-UPV), Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainLive Fuel Moisture Content (LFMC) describes the amount of water present in any type of vegetation and helps quantify the amount of fuel available in a wildfire. In this paper, a multivariate linear regression model was built to estimate the LFMC of the weighted average of all shrub-type species present, using the fraction of canopy cover (FCC) of each forest species as weights. Sample training was conducted with field data obtained during the fire season of the years 2019, 2020 and 2021 in 15 plots of a Mediterranean area where vegetation composed of the shrub-type species dominates. Different spectral indices extracted from Sentinel-2 together with the mean surface temperature, the accumulated precipitation and the seasonal parameters were considered as predictors. The results were compared with the extrapolation of another model trained with field data collected in the year 2019.https://www.mdpi.com/2673-4931/28/1/12live fuel moisture contentmultivariate linear regressionspectral indiceswildfiremeteorological parametersfraction of canopy cover |
| spellingShingle | Kenneth Pachacama-Vallejo Ángel Balaguer-Beser A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data Environmental Sciences Proceedings live fuel moisture content multivariate linear regression spectral indices wildfire meteorological parameters fraction of canopy cover |
| title | A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data |
| title_full | A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data |
| title_fullStr | A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data |
| title_full_unstemmed | A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data |
| title_short | A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data |
| title_sort | linear regression model for live fuel moisture content estimation during the fire season in shrub areas of the province of valencia in spain using sentinel 2 remote sensing data |
| topic | live fuel moisture content multivariate linear regression spectral indices wildfire meteorological parameters fraction of canopy cover |
| url | https://www.mdpi.com/2673-4931/28/1/12 |
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