Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements
The objective of this article is to create soil burn severity maps to serve as field support for erosion tasks after forest fire occurrence in Spain (2017–2022). The Analytical Spectral Device (ASD) FieldSpec and the CIMEL CE-312 radiometers (optical and thermal, respectively) were used as input dat...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/7/12/487 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846104663187783680 |
|---|---|
| author | Rafael Llorens José Antonio Sobrino Cristina Fernández José M. Fernández-Alonso José Antonio Vega |
| author_facet | Rafael Llorens José Antonio Sobrino Cristina Fernández José M. Fernández-Alonso José Antonio Vega |
| author_sort | Rafael Llorens |
| collection | DOAJ |
| description | The objective of this article is to create soil burn severity maps to serve as field support for erosion tasks after forest fire occurrence in Spain (2017–2022). The Analytical Spectral Device (ASD) FieldSpec and the CIMEL CE-312 radiometers (optical and thermal, respectively) were used as input data to establish relationships between soil burn severity and reflectance or emissivity, respectively. Spectral indices related to popular forest fire studies and soil assessment were calculated by Sentinel-2 convolved reflectance. All the spectral indices that achieve the separability index algorithm (SI) were validated using specificity, sensitivity, accuracy (ACC), balanced accuracy (BACC), F1-score (F1), and Cohen’s kappa index (k), with 503 field plots. The results displayed the highest overall accuracy results using the Iron Oxide ratio (IOR) index: ACC = 0.71, BACC = 0.76, F1 = 0.63 and k = 0.50, respectively. In addition, IOR was the only spectral index with an acceptable k value (k = 0.50). It is demonstrated that, together with NIR and SWIR spectral bands, the use of blue spectral band reduces atmospheric interferences and improves the accuracy of soil burn severity mapping. The maps obtained in this study could be highly valuable to forest agents for soil erosion restoration tasks. |
| format | Article |
| id | doaj-art-504e8eeefab44d5d89e4f8657bf3395a |
| institution | Kabale University |
| issn | 2571-6255 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj-art-504e8eeefab44d5d89e4f8657bf3395a2024-12-27T14:25:51ZengMDPI AGFire2571-62552024-12-0171248710.3390/fire7120487Soil Burn Severity Assessment Using Sentinel-2 and Radiometric MeasurementsRafael Llorens0José Antonio Sobrino1Cristina Fernández2José M. Fernández-Alonso3José Antonio Vega4Global Change Unit, Image Processing Laboratory, University of Valencia, E-46980 Paterna, SpainGlobal Change Unit, Image Processing Laboratory, University of Valencia, E-46980 Paterna, SpainCentro de Investigación Forestal de Lourizán, Xunta de Galicia, E-36156 Pontevedra, SpainCentro de Investigación Forestal de Lourizán, Xunta de Galicia, E-36156 Pontevedra, SpainCentro de Investigación Forestal de Lourizán, Xunta de Galicia, E-36156 Pontevedra, SpainThe objective of this article is to create soil burn severity maps to serve as field support for erosion tasks after forest fire occurrence in Spain (2017–2022). The Analytical Spectral Device (ASD) FieldSpec and the CIMEL CE-312 radiometers (optical and thermal, respectively) were used as input data to establish relationships between soil burn severity and reflectance or emissivity, respectively. Spectral indices related to popular forest fire studies and soil assessment were calculated by Sentinel-2 convolved reflectance. All the spectral indices that achieve the separability index algorithm (SI) were validated using specificity, sensitivity, accuracy (ACC), balanced accuracy (BACC), F1-score (F1), and Cohen’s kappa index (k), with 503 field plots. The results displayed the highest overall accuracy results using the Iron Oxide ratio (IOR) index: ACC = 0.71, BACC = 0.76, F1 = 0.63 and k = 0.50, respectively. In addition, IOR was the only spectral index with an acceptable k value (k = 0.50). It is demonstrated that, together with NIR and SWIR spectral bands, the use of blue spectral band reduces atmospheric interferences and improves the accuracy of soil burn severity mapping. The maps obtained in this study could be highly valuable to forest agents for soil erosion restoration tasks.https://www.mdpi.com/2571-6255/7/12/487forest firesSentinel-2soil burn severityradiometric measurementsfield plots |
| spellingShingle | Rafael Llorens José Antonio Sobrino Cristina Fernández José M. Fernández-Alonso José Antonio Vega Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements Fire forest fires Sentinel-2 soil burn severity radiometric measurements field plots |
| title | Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements |
| title_full | Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements |
| title_fullStr | Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements |
| title_full_unstemmed | Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements |
| title_short | Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements |
| title_sort | soil burn severity assessment using sentinel 2 and radiometric measurements |
| topic | forest fires Sentinel-2 soil burn severity radiometric measurements field plots |
| url | https://www.mdpi.com/2571-6255/7/12/487 |
| work_keys_str_mv | AT rafaelllorens soilburnseverityassessmentusingsentinel2andradiometricmeasurements AT joseantoniosobrino soilburnseverityassessmentusingsentinel2andradiometricmeasurements AT cristinafernandez soilburnseverityassessmentusingsentinel2andradiometricmeasurements AT josemfernandezalonso soilburnseverityassessmentusingsentinel2andradiometricmeasurements AT joseantoniovega soilburnseverityassessmentusingsentinel2andradiometricmeasurements |