Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area
The remote sensing of fire severity and burned area is fundamental in the evaluation of fire impacts. The current study aimed to: (i) compare Sentinel-2 (<i>S2</i>) spectral indices to predict field-observed fire severity in Durango, Mexico; (ii) evaluate the effect of the compositing pe...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/13/3122 |
| _version_ | 1797408255729729536 |
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| author | Adrián Israel Silva-Cardoza Daniel José Vega-Nieva Jaime Briseño-Reyes Carlos Ivan Briones-Herrera Pablito Marcelo López-Serrano José Javier Corral-Rivas Sean A. Parks Lisa M. Holsinger |
| author_facet | Adrián Israel Silva-Cardoza Daniel José Vega-Nieva Jaime Briseño-Reyes Carlos Ivan Briones-Herrera Pablito Marcelo López-Serrano José Javier Corral-Rivas Sean A. Parks Lisa M. Holsinger |
| author_sort | Adrián Israel Silva-Cardoza |
| collection | DOAJ |
| description | The remote sensing of fire severity and burned area is fundamental in the evaluation of fire impacts. The current study aimed to: (i) compare Sentinel-2 (<i>S2</i>) spectral indices to predict field-observed fire severity in Durango, Mexico; (ii) evaluate the effect of the compositing period (1 or 3 months), techniques (average or minimum), and phenological correction (constant offset, <i>c</i>, against a novel relative phenological correction, <i>rc</i>) on fire severity mapping, and (iii) determine fire perimeter accuracy. The Relative Burn Ratio (<i>RBR</i>), using <i>S2</i> bands 8a and 12, provided the best correspondence with field-based fire severity (<i>FBS</i>). One-month <i>rc</i> minimum composites showed the highest correspondence with <i>FBS</i> (R<sup>2</sup> = 0.83). The decrease in R<sup>2</sup> using 3 months rather than 1 month was ≥0.05 (0.05–0.15) for <i>c</i> composites and <0.05 (0.02–0.03) for <i>rc</i> composites. Furthermore, using <i>rc</i> increased the R<sup>2</sup> by 0.05–0.09 and 0.10–0.15 for the 3-month <i>RBR</i> and <i>dNBR</i> compared to the corresponding <i>c</i> composites. <i>Rc</i> composites also showed increases of up to 0.16–0.22 and 0.08–0.11 in kappa values and overall accuracy, respectively, in mapping fire perimeters against <i>c</i> composites. These results suggest a promising potential of the novel relative phenological correction to be systematically applied with automated algorithms to improve the accuracy and robustness of fire severity and perimeter evaluations. |
| first_indexed | 2024-03-09T03:55:47Z |
| format | Article |
| id | doaj.art-9e020527072b48729ae90c3b4f914a85 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T03:55:47Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9e020527072b48729ae90c3b4f914a852023-12-03T14:20:39ZengMDPI AGRemote Sensing2072-42922022-06-011413312210.3390/rs14133122Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned AreaAdrián Israel Silva-Cardoza0Daniel José Vega-Nieva1Jaime Briseño-Reyes2Carlos Ivan Briones-Herrera3Pablito Marcelo López-Serrano4José Javier Corral-Rivas5Sean A. Parks6Lisa M. Holsinger7Maestría en Geomática Aplicada a Recursos Forestales y Ambientales, Facultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, Durango C.P. 34120, MexicoThe remote sensing of fire severity and burned area is fundamental in the evaluation of fire impacts. The current study aimed to: (i) compare Sentinel-2 (<i>S2</i>) spectral indices to predict field-observed fire severity in Durango, Mexico; (ii) evaluate the effect of the compositing period (1 or 3 months), techniques (average or minimum), and phenological correction (constant offset, <i>c</i>, against a novel relative phenological correction, <i>rc</i>) on fire severity mapping, and (iii) determine fire perimeter accuracy. The Relative Burn Ratio (<i>RBR</i>), using <i>S2</i> bands 8a and 12, provided the best correspondence with field-based fire severity (<i>FBS</i>). One-month <i>rc</i> minimum composites showed the highest correspondence with <i>FBS</i> (R<sup>2</sup> = 0.83). The decrease in R<sup>2</sup> using 3 months rather than 1 month was ≥0.05 (0.05–0.15) for <i>c</i> composites and <0.05 (0.02–0.03) for <i>rc</i> composites. Furthermore, using <i>rc</i> increased the R<sup>2</sup> by 0.05–0.09 and 0.10–0.15 for the 3-month <i>RBR</i> and <i>dNBR</i> compared to the corresponding <i>c</i> composites. <i>Rc</i> composites also showed increases of up to 0.16–0.22 and 0.08–0.11 in kappa values and overall accuracy, respectively, in mapping fire perimeters against <i>c</i> composites. These results suggest a promising potential of the novel relative phenological correction to be systematically applied with automated algorithms to improve the accuracy and robustness of fire severity and perimeter evaluations.https://www.mdpi.com/2072-4292/14/13/3122Sentinel-2post-fire severityinitial fire assessmentsoil burn severityfire perimeterimage compositing |
| spellingShingle | Adrián Israel Silva-Cardoza Daniel José Vega-Nieva Jaime Briseño-Reyes Carlos Ivan Briones-Herrera Pablito Marcelo López-Serrano José Javier Corral-Rivas Sean A. Parks Lisa M. Holsinger Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area Remote Sensing Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing |
| title | Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area |
| title_full | Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area |
| title_fullStr | Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area |
| title_full_unstemmed | Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area |
| title_short | Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area |
| title_sort | evaluating a new relative phenological correction and the effect of sentinel based earth engine compositing approaches to map fire severity and burned area |
| topic | Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing |
| url | https://www.mdpi.com/2072-4292/14/13/3122 |
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