Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico
In contrast with current operational products of burned area, which are generally available one month after the fire, active fires are readily available, with potential application for early evaluation of approximate fire perimeters to support fire management decision making in near real time. While...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/12/2061 |
| _version_ | 1827714213678678016 |
|---|---|
| author | Carlos Ivan Briones-Herrera Daniel José Vega-Nieva Norma Angélica Monjarás-Vega Jaime Briseño-Reyes Pablito Marcelo López-Serrano José Javier Corral-Rivas Ernesto Alvarado-Celestino Stéfano Arellano-Pérez Juan Gabriel Álvarez-González Ana Daría Ruiz-González William Mathew Jolly Sean A. Parks |
| author_facet | Carlos Ivan Briones-Herrera Daniel José Vega-Nieva Norma Angélica Monjarás-Vega Jaime Briseño-Reyes Pablito Marcelo López-Serrano José Javier Corral-Rivas Ernesto Alvarado-Celestino Stéfano Arellano-Pérez Juan Gabriel Álvarez-González Ana Daría Ruiz-González William Mathew Jolly Sean A. Parks |
| author_sort | Carlos Ivan Briones-Herrera |
| collection | DOAJ |
| description | In contrast with current operational products of burned area, which are generally available one month after the fire, active fires are readily available, with potential application for early evaluation of approximate fire perimeters to support fire management decision making in near real time. While previous coarse-scale studies have focused on relating the number of active fires to a burned area, some local-scale studies have proposed the spatial aggregation of active fires to directly obtain early estimate perimeters from active fires. Nevertheless, further analysis of this latter technique, including the definition of aggregation distance and large-scale testing, is still required. There is a need for studies that evaluate the potential of active fire aggregation for rapid initial fire perimeter delineation, particularly taking advantage of the improved spatial resolution of the Visible Infrared Imaging Radiometer (VIIRS) 375 m, over large areas and long periods of study. The current study tested the use of convex hull algorithms for deriving coarse-scale perimeters from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) active fire detections, compared against the mapped perimeter of the MODIS collection 6 (MCD64A1) burned area. We analyzed the effect of aggregation distance (750, 1000, 1125 and 1500 m) on the relationships of active fire perimeters with MCD64A1, for both individual fire perimeter prediction and total burned area estimation, for the period 2012–2108 in Mexico. The aggregation of active fire detections from MODIS and VIIRS demonstrated a potential to offer coarse-scale early estimates of the perimeters of large fires, which can be available to support fire monitoring and management in near real time. Total burned area predicted from aggregated active fires followed the same temporal behavior as the standard MCD64A1 burned area, with potential to also account for the role of smaller fires detected by the thermal anomalies. The proposed methodology, based on easily available algorithms of point aggregation, is susceptible to be utilized both for near real-time and historical fire perimeter evaluation elsewhere. Future studies might test active fires aggregation between regions or biomes with contrasting fuel characteristics and human activity patterns against medium resolution (e.g., Landsat and Sentinel) fire perimeters. Furthermore, coarse-scale active fire perimeters might be utilized to locate areas where such higher-resolution imagery can be downloaded to improve the evaluation of fire extent and impact. |
| first_indexed | 2024-03-10T18:52:35Z |
| format | Article |
| id | doaj.art-ad139c2d9b9943ab860e38166074be6c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T18:52:35Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ad139c2d9b9943ab860e38166074be6c2023-11-20T05:02:03ZengMDPI AGRemote Sensing2072-42922020-06-011212206110.3390/rs12122061Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in MexicoCarlos Ivan Briones-Herrera0Daniel José Vega-Nieva1Norma Angélica Monjarás-Vega2Jaime Briseño-Reyes3Pablito Marcelo López-Serrano4José Javier Corral-Rivas5Ernesto Alvarado-Celestino6Stéfano Arellano-Pérez7Juan Gabriel Álvarez-González8Ana Daría Ruiz-González9William Mathew Jolly10Sean A. Parks11Facultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Río Papaloapan y Blvd, Durango S/N Col. Valle del Sur, 34120 Durango, MexicoSchool of Environmental and Forest Sciences, University of Washington, Mailbox 352100, University of Washington, Seattle, WA 98195, USADepartamento de Ingeniería Agroforestal, Universidad de Santiago de Compostela, Escuela Politécnica Superior de Ingeniería, Campus Universitario s/n, 27002 Lugo, SpainDepartamento de Ingeniería Agroforestal, Universidad de Santiago de Compostela, Escuela Politécnica Superior de Ingeniería, Campus Universitario s/n, 27002 Lugo, SpainDepartamento de Ingeniería Agroforestal, Universidad de Santiago de Compostela, Escuela Politécnica Superior de Ingeniería, Campus Universitario s/n, 27002 Lugo, SpainUSDA Forest Service, Missoula Fire Sciences Laboratory, Missoula, MT 59808, USAUSDA Forest Service, Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, Missoula, MT 59801, USAIn contrast with current operational products of burned area, which are generally available one month after the fire, active fires are readily available, with potential application for early evaluation of approximate fire perimeters to support fire management decision making in near real time. While previous coarse-scale studies have focused on relating the number of active fires to a burned area, some local-scale studies have proposed the spatial aggregation of active fires to directly obtain early estimate perimeters from active fires. Nevertheless, further analysis of this latter technique, including the definition of aggregation distance and large-scale testing, is still required. There is a need for studies that evaluate the potential of active fire aggregation for rapid initial fire perimeter delineation, particularly taking advantage of the improved spatial resolution of the Visible Infrared Imaging Radiometer (VIIRS) 375 m, over large areas and long periods of study. The current study tested the use of convex hull algorithms for deriving coarse-scale perimeters from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) active fire detections, compared against the mapped perimeter of the MODIS collection 6 (MCD64A1) burned area. We analyzed the effect of aggregation distance (750, 1000, 1125 and 1500 m) on the relationships of active fire perimeters with MCD64A1, for both individual fire perimeter prediction and total burned area estimation, for the period 2012–2108 in Mexico. The aggregation of active fire detections from MODIS and VIIRS demonstrated a potential to offer coarse-scale early estimates of the perimeters of large fires, which can be available to support fire monitoring and management in near real time. Total burned area predicted from aggregated active fires followed the same temporal behavior as the standard MCD64A1 burned area, with potential to also account for the role of smaller fires detected by the thermal anomalies. The proposed methodology, based on easily available algorithms of point aggregation, is susceptible to be utilized both for near real-time and historical fire perimeter evaluation elsewhere. Future studies might test active fires aggregation between regions or biomes with contrasting fuel characteristics and human activity patterns against medium resolution (e.g., Landsat and Sentinel) fire perimeters. Furthermore, coarse-scale active fire perimeters might be utilized to locate areas where such higher-resolution imagery can be downloaded to improve the evaluation of fire extent and impact.https://www.mdpi.com/2072-4292/12/12/2061burned areaconvex hullburn scarhot spotsrapid fire perimeter |
| spellingShingle | Carlos Ivan Briones-Herrera Daniel José Vega-Nieva Norma Angélica Monjarás-Vega Jaime Briseño-Reyes Pablito Marcelo López-Serrano José Javier Corral-Rivas Ernesto Alvarado-Celestino Stéfano Arellano-Pérez Juan Gabriel Álvarez-González Ana Daría Ruiz-González William Mathew Jolly Sean A. Parks Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico Remote Sensing burned area convex hull burn scar hot spots rapid fire perimeter |
| title | Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico |
| title_full | Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico |
| title_fullStr | Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico |
| title_full_unstemmed | Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico |
| title_short | Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico |
| title_sort | near real time automated early mapping of the perimeter of large forest fires from the aggregation of viirs and modis active fires in mexico |
| topic | burned area convex hull burn scar hot spots rapid fire perimeter |
| url | https://www.mdpi.com/2072-4292/12/12/2061 |
| work_keys_str_mv | AT carlosivanbrionesherrera nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT danieljoseveganieva nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT normaangelicamonjarasvega nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT jaimebrisenoreyes nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT pablitomarcelolopezserrano nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT josejaviercorralrivas nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT ernestoalvaradocelestino nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT stefanoarellanoperez nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT juangabrielalvarezgonzalez nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT anadariaruizgonzalez nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT williammathewjolly nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico AT seanaparks nearrealtimeautomatedearlymappingoftheperimeteroflargeforestfiresfromtheaggregationofviirsandmodisactivefiresinmexico |