Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/20/5138 |
| _version_ | 1797470066940313600 |
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| author | José Manuel Fernández-Guisuraga Susana Suárez-Seoane Carmen Quintano Alfonso Fernández-Manso Leonor Calvo |
| author_facet | José Manuel Fernández-Guisuraga Susana Suárez-Seoane Carmen Quintano Alfonso Fernández-Manso Leonor Calvo |
| author_sort | José Manuel Fernández-Guisuraga |
| collection | DOAJ |
| description | We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter of a wildfire that occurred in summer 2017 in the northwestern Iberian Peninsula. A pre- and post-fire time series of Sentinel-2 satellite imagery was acquired to estimate fractional vegetation cover (FVC) from the (i) PROSAIL-D radiative transfer model inversion using the random forest algorithm, and (ii) multiple endmember spectral mixture analysis (MESMA). The FVC retrieval was validated throughout the time series by means of field data stratified by plant community type (i.e., regenerative strategy). The inversion of PROSAIL-D featured the highest overall fit for the entire time series (R<sup>2</sup> > 0.75), followed by MESMA (R<sup>2</sup> > 0.64). We estimated the resilience of shrubland communities in terms of FVC recovery using an impact-normalized resilience index and a linear model. High burn severity negatively influenced the short-term resilience of shrublands dominated by facultative seeder species. In contrast, shrublands dominated by resprouters reached pre-fire FVC values regardless of burn severity. |
| first_indexed | 2024-03-09T19:31:33Z |
| format | Article |
| id | doaj.art-43d3057c61af4ce6b105b21156cde9de |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:31:33Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-43d3057c61af4ce6b105b21156cde9de2023-11-24T02:19:52ZengMDPI AGRemote Sensing2072-42922022-10-011420513810.3390/rs14205138Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn SeverityJosé Manuel Fernández-Guisuraga0Susana Suárez-Seoane1Carmen Quintano2Alfonso Fernández-Manso3Leonor Calvo4Department of Biodiversity and Environmental Management, Faculty of Biological and Environmental Sciences, University of León, 24071 León, SpainDepartment of Organisms and Systems Biology (Ecology Unit), University of Oviedo, 33007 Oviedo, SpainElectronic Technology Department, School of Industrial Engineering, University of Valladolid, 47011 Valladolid, SpainAgrarian Science and Engineering Department, School of Agricultural and Forestry Engineering, University of León, 24400 Ponferrada, SpainDepartment of Biodiversity and Environmental Management, Faculty of Biological and Environmental Sciences, University of León, 24071 León, SpainWe aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter of a wildfire that occurred in summer 2017 in the northwestern Iberian Peninsula. A pre- and post-fire time series of Sentinel-2 satellite imagery was acquired to estimate fractional vegetation cover (FVC) from the (i) PROSAIL-D radiative transfer model inversion using the random forest algorithm, and (ii) multiple endmember spectral mixture analysis (MESMA). The FVC retrieval was validated throughout the time series by means of field data stratified by plant community type (i.e., regenerative strategy). The inversion of PROSAIL-D featured the highest overall fit for the entire time series (R<sup>2</sup> > 0.75), followed by MESMA (R<sup>2</sup> > 0.64). We estimated the resilience of shrubland communities in terms of FVC recovery using an impact-normalized resilience index and a linear model. High burn severity negatively influenced the short-term resilience of shrublands dominated by facultative seeder species. In contrast, shrublands dominated by resprouters reached pre-fire FVC values regardless of burn severity.https://www.mdpi.com/2072-4292/14/20/5138fractional vegetation coverMESMAPROSAILrecoverySentinel-2wildfire |
| spellingShingle | José Manuel Fernández-Guisuraga Susana Suárez-Seoane Carmen Quintano Alfonso Fernández-Manso Leonor Calvo Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity Remote Sensing fractional vegetation cover MESMA PROSAIL recovery Sentinel-2 wildfire |
| title | Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity |
| title_full | Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity |
| title_fullStr | Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity |
| title_full_unstemmed | Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity |
| title_short | Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity |
| title_sort | comparison of physical based models to measure forest resilience to fire as a function of burn severity |
| topic | fractional vegetation cover MESMA PROSAIL recovery Sentinel-2 wildfire |
| url | https://www.mdpi.com/2072-4292/14/20/5138 |
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