Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem
Burn severity is commonly assessed using Burn Ratios and field measurements to provide land managers with estimates of the degree of burning in an area. However, less commonly studied is the ability of spectral indices and Burn Ratios to estimate field-measured fire effects. Past research has shown...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Forests |
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| Online Access: | https://www.mdpi.com/1999-4907/14/7/1508 |
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| author | David M. Szpakowski Jennifer L. R. Jensen T. Edwin Chow David R. Butler |
| author_facet | David M. Szpakowski Jennifer L. R. Jensen T. Edwin Chow David R. Butler |
| author_sort | David M. Szpakowski |
| collection | DOAJ |
| description | Burn severity is commonly assessed using Burn Ratios and field measurements to provide land managers with estimates of the degree of burning in an area. However, less commonly studied is the ability of spectral indices and Burn Ratios to estimate field-measured fire effects. Past research has shown low correlations between fire effects and Landsat-derived Burn Ratios, but with the launch of the Sentinel-2 constellation, more spectral bands with finer spatial resolutions have become available. This paper explores the use of several red-edge-based indices and Burn Ratios alongside more ‘traditional’ spectral indices for predicting fire effects, measured from the Maple and Berry fires in Wyoming, USA. The fire effects include ash depth, char depth, post-fire dead lodgepole pine (<i>Pinus contorta</i>; PICO) density/stumps, mean basal diameter, cone density on dead post-fire trees, coarse wood percent cover/volume/mass, percent cover of ghost logs and initial regeneration of post-fire PICO/aspen density. All-possible-models regression was used to determine the best models for estimating each fire effect. Models with satisfactory R<sup>2</sup> values were constructed for post-fire dead PICO stumps (0.663), coarse wood percent cover (0.691), coarse wood volume (0.833), coarse wood mass (0.838), ash depth (0.636) and percent cover of ghost logs (0.717). Red-edge-based indices were included in all of the satisfactory models, which shows that the red-edge bands may be useful for measuring fire effects. |
| first_indexed | 2024-03-11T01:04:13Z |
| format | Article |
| id | doaj.art-fa7cfefb38da4560bc0a88bc2b768c8f |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-11T01:04:13Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-fa7cfefb38da4560bc0a88bc2b768c8f2023-11-18T19:25:22ZengMDPI AGForests1999-49072023-07-01147150810.3390/f14071508Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone EcosystemDavid M. Szpakowski0Jennifer L. R. Jensen1T. Edwin Chow2David R. Butler3Department of Earth and Environmental Science, Western Oregon University, Monmouth, OR 97361, USADepartment of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USADepartment of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USADepartment of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USABurn severity is commonly assessed using Burn Ratios and field measurements to provide land managers with estimates of the degree of burning in an area. However, less commonly studied is the ability of spectral indices and Burn Ratios to estimate field-measured fire effects. Past research has shown low correlations between fire effects and Landsat-derived Burn Ratios, but with the launch of the Sentinel-2 constellation, more spectral bands with finer spatial resolutions have become available. This paper explores the use of several red-edge-based indices and Burn Ratios alongside more ‘traditional’ spectral indices for predicting fire effects, measured from the Maple and Berry fires in Wyoming, USA. The fire effects include ash depth, char depth, post-fire dead lodgepole pine (<i>Pinus contorta</i>; PICO) density/stumps, mean basal diameter, cone density on dead post-fire trees, coarse wood percent cover/volume/mass, percent cover of ghost logs and initial regeneration of post-fire PICO/aspen density. All-possible-models regression was used to determine the best models for estimating each fire effect. Models with satisfactory R<sup>2</sup> values were constructed for post-fire dead PICO stumps (0.663), coarse wood percent cover (0.691), coarse wood volume (0.833), coarse wood mass (0.838), ash depth (0.636) and percent cover of ghost logs (0.717). Red-edge-based indices were included in all of the satisfactory models, which shows that the red-edge bands may be useful for measuring fire effects.https://www.mdpi.com/1999-4907/14/7/1508fireremote sensingBurn Ratiosred-edge indices |
| spellingShingle | David M. Szpakowski Jennifer L. R. Jensen T. Edwin Chow David R. Butler Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem Forests fire remote sensing Burn Ratios red-edge indices |
| title | Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem |
| title_full | Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem |
| title_fullStr | Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem |
| title_full_unstemmed | Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem |
| title_short | Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem |
| title_sort | assessing the use of burn ratios and red edge spectral indices for detecting fire effects in the greater yellowstone ecosystem |
| topic | fire remote sensing Burn Ratios red-edge indices |
| url | https://www.mdpi.com/1999-4907/14/7/1508 |
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