Special Issue "Detecting, Mapping, and Characterizing Wildfires Using Remote Sensing Data"

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Fangjun Li
E-Mail Website
Guest Editor
Geospatial Sciences of Excellences, Department of Geography & Geospatial Sciences, South Dakota State University, 1021 Medary Ave, Wecota Hall 115, Brookings SD 57007, USA
Interests: remote sensing; biomass burning
Special Issues and Collections in MDPI journals
Dr. Xiaoyang Zhang
E-Mail Website
Guest Editor
Geospatial Sciences Center of Excellences, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA
Interests: biomass burning emissions; burned area; fire seasonality; climate change; real-time monitoring; remote sensing.
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Wildfires have a profound influence on ecosystem structure and function, energy feedbacks to the climate system, regional socioeconomic conditions, and future land use planning. Quantifying wildfires remains challenging, with large uncertainties, although considerable efforts have been devoted to detecting fire occurrences, mapping burned areas, and characterizing fire behaviors during the last several decades. Therefore, this Special Issue aims to collect articles concerning the quantification of wildfires using observations from satellite (including PlantScope, Landsat, Sentinel-2, MODIS, VIIRS, and geostationary satellites), airborne sensors, and unmanned aerial vehicles.  The specific topics include:

  • New algorithms of detecting actively burning fires and mapping burned areas, particularly in areas dominated by small and/or cool fires (e.g., agriculture burnings) and frequently obscured by clouds (e.g., tropical deforestation fires).
  • Evaluation and validation of existing and emerging fire products using fine resolution fire observations and ground-based fire measurements.
  • Characterization of fire behaviors (intensity, spread rate, progression, etc.) at landscape scale.
  • Characterization of diurnal cycles of fire activity and long-term fire regimes at regional and global scales.
  • Examination of long-term variations of regional and global fire activities.

You may choose our Joint Special Issue in Remote Sensing.

Dr. Fangjun Li
Dr. Xiaoyang Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • remote sensing
  • active fire
  • burned area
  • fire behavior
  • fire regimes
  • diurnal cycles
  • validation

Published Papers (2 papers)

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Research

Article
Mapping Wetland Burned Area from Sentinel-2 across the Southeastern United States and Its Contributions Relative to Landsat-8 (2016–2019)
Fire 2021, 4(3), 52; https://doi.org/10.3390/fire4030052 - 25 Aug 2021
Viewed by 420
Abstract
Prescribed fires and wildfires are common in wetland ecosystems across the Southeastern United States. However, the wetland burned area has been chronically underestimated across the region due to (1) spectral confusion between open water and burned area, (2) rapid post-fire vegetation regrowth, and [...] Read more.
Prescribed fires and wildfires are common in wetland ecosystems across the Southeastern United States. However, the wetland burned area has been chronically underestimated across the region due to (1) spectral confusion between open water and burned area, (2) rapid post-fire vegetation regrowth, and (3) high annual precipitation limiting clear-sky satellite observations. We developed a machine learning algorithm specifically for burned area in wetlands, and applied the algorithm to the Sentinel-2 archive (2016–2019) across the Southeastern US (>290,000 km2). Combining Landsat-8 imagery with Sentinel-2 increased the annual clear-sky observation count from 17 to 46 in 2016 and from 16 to 78 in 2019. When validated with WorldView imagery, the Sentinel-2 burned area had a 29% and 30% omission and commission rates of error for burned area, respectively, compared to the US Geological Survey Landsat-8 Burned Area Product (L8 BA), which had a 47% and 8% omission and commission rate of error, respectively. The Sentinel-2 algorithm and the L8 BA mapped burned area within 78% and 60% of wetland fire perimeters (n = 555) compiled from state and federal agencies, respectively. This analysis demonstrated the potential of Sentinel-2 to support efforts to track the burned area, especially across challenging ecosystem types, such as wetlands. Full article
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Article
Assessing Wildfire Regimes in Indigenous Lands of the Brazilian Savannah-Like Cerrado
Fire 2021, 4(3), 34; https://doi.org/10.3390/fire4030034 - 05 Jul 2021
Cited by 1 | Viewed by 666
Abstract
The Brazilian savannah-like Cerrado is classified as a fire-dependent biome. Human activities have altered the fire regimes in the region, and as a result, not all fires have ecological benefits. The indigenous lands (ILs) of the Brazilian Cerrado have registered the recurrence of [...] Read more.
The Brazilian savannah-like Cerrado is classified as a fire-dependent biome. Human activities have altered the fire regimes in the region, and as a result, not all fires have ecological benefits. The indigenous lands (ILs) of the Brazilian Cerrado have registered the recurrence of forest fires. Thus, the diagnosis of these events is fundamental to understanding the burning regimes and their consequences. The main objective of this paper is to evaluate the fire regimes in Cerrado’s indigenous lands from 2008 to 2017. We used the Landsat time series, at 30 m spatial resolution, available in the Google Earth Engine platform to delineate the burned areas. We used precipitation data from a meteorological station to define the rainy season (RS), early dry season (EDS), middle dry season (MDS), and late dry season (LDS) periods. During 2008–2017, our results show that the total burned area in the indigenous lands and surrounding area was 2,289,562 hectares, distributed in 14,653 scars. Most fires took place between June and November, and the annual burned area was quite different in the years studied. It was also possible to identify areas with high fire recurrence. The fire regime patterns described here are the first step towards understanding the fire regimes in the region and establishing directions to improve management strategies and guide public policies. Full article
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