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304 results for “burned area”
CONTINUED ACCESS PROTOCOL: Demonstration of the Safety and Effectiveness of ReCell® Combined With Meshed Skin Graft for Reduction of Donor Area in the Treatment of Acute Burn Injuries
ClinicalTrials.gov study NCT02994654. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Warmer and drier fire seasons contribute to increases in area burned at high severity in western US forests from 1985-2017
Open the record for dataset details and reuse information.
ABoVE: Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019
This dataset provides annual gridded estimates of fire locations and associated burn fraction per pixel for Alaska and Canada at approximately 500 m spatial resolution for the period 2001-2019. Gridded predictions of carbon combustion and burn depth for the same period within the ABoVE extended domain using the burn area maps and field data are also available. Fire locations and date of burn (DOB) were detected by MODIS-derived active fire products. Burned area was primarily estimated from finer-scale Landsat imagery using a differenced Normalized Burn Ratio (dNBR) algorithm and upscaled to an approximate 500 m MODIS resolution. Aboveground combustion, belowground combustion, and burn depth were statistically modeled at the pixel level for every mapped burned pixel in the ABoVE extended domain based on field observations across Alaska and western Canada. Predictor variables included remotely sensed indicators of fire severity, topography, soils, climate, and fire weather. Quality flags for burned area and combustion are available. Fire is the dominant disturbance agent in Alaskan and Canadian boreal ecosystems and releases large amounts of carbon into the atmosphere. These data are useful for studies of disturbance, fire ecology, and carbon cycling in boreal ecosystems.
MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V006
The MCD64A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MCD64A1 Version 6.1](https://doi.org/10.5067/MODIS/MCD64A1.061) data product.The Terra and Aqua combined MCD64A1 Version 6 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year. Known Issues* Known issues are described on the [MODIS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=6) and in Section 8 of the User Guide which covers Cropland Burning, the August 2000 and June 2001 Data Outages, and the August 2020 Aqua Outage.Improvements/Changes from Previous Version* The product is now generated using an improved version of the MCD64 burned area mapping algorithm (Giglio et al., 2009), i.e., MCD64A1 will be adopted as the standard MODIS burned area product for Collection 6. The MCD45A1 product will not be generated beyond Collection 5.1.* The product is generated using Version 6 surface reflectance and active fire input data.* General improvement (reduced omission error) in burned area detection, including significantly better detection of small burns.* Modest reduction in burn-date temporal uncertainty.* Significant reduction in the occurrence of unclassified grid cells due to algorithm changes and refinements in the upstream Version 6 input data.* Product coverage expanded from 219 to 268 MODIS tiles.* Expanded per-pixel Quality Assurance (QA) product layer.
ABoVE: AVHRR-Derived Forest Fire Burned Area-Hot Spots, Alaska and Canada, 1989-2000
This dataset provides annual forest fire burned area and daily hotspot products developed using data acquired from the Advanced Very-High-Resolution Radiometer (AVHRR) instruments carried aboard two NOAA polar-orbiting satellites (NOAA-11 and NOAA-14). The fire products were generated over 12 fire seasons (1st May - 31st October) from 1989-2000 across North America at 1-km resolution and subset to the ABoVE spatial domain of Alaska and Canada.
Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015
This dataset provides maps of annual burned area for the part of Mawas conservation program in Central Kalimantan, Indonesia from 1997 through 2015. Landsat imagery (TM, ETM+, OLI/TIR) at 30 m resolution was obtained for this 19-year period, including the variables surface reflectance, brightness temperature, and pixel quality assurance, plus the indices NDVI, NDMI, NBR, NBR2, SAVI, and MSAVI. The MODIS active fire product (MCD14) was used to define when fires occurred. Random Forest classifications were used to separate burned and unburned 30-m pixels with inputs of composites of Landsat indices and thermal bands, based on the pre- and post-fire values.
Arctic Boreal Annual Burned Area, Circumpolar Boreal Forest and Tundra, V2, 2002-2022
This dataset provides annual cumulative end-of-season burned area in circumpolar boreal forests and tundra for the years 2002-2022. The data were generated using the Arctic Boreal Burned Area (ABBA) version 2 algorithm with MODIS collection 6 products. The algorithm is based on Normalized Burned Ratio differencing (dNBR) and is designed specifically to capture late season fires. The annual MODIS Vegetation Continuous Fields (VCF) 250-m Collection 5.1 (MOD44B) product allowed for additional vegetation-dependent dNBR thresholds within the algorithm's processing steps. The spatial domain is circumpolar regions above 50 degrees north latitude. The data are provided in cloud-optimized GeoTIFF format with 463-m resolution.
SAFARI 2000 Global Burned Area Map, 1-km, Southern Africa, 2000
The Global Burned Area 2000 initiative (GBA2000) was launched by the Global Vegetation Mapping Unit of the Joint Research Centre of the European Commission, in partnership with several other institutions, to develop reliable and quantitative information on the global magnitude and spatial distribution of biomass burning. The objective of GBA2000 was to produce a map of the areas burned globally for the year 2000, using the medium resolution satellite imagery provided by the SPOT-VEGETATION (VGT) system and to derive statistics of area burned per type of vegetation cover. A subset of the global GBA20000 map was prepared for SAFARI 2000 to map the area burned in sub-Saharan Africa during 2000 on a monthly basis using VGT imagery at 1 km spatial resolution. Burned areas were identified with a classification tree, relying only on the near-infrared channel of VGT. The data used in this work are in the S1 daily synthesis format, i.e. the data are radiometrically calibrated, precisely geo-located, and corrected for atmospheric effects.The data are binary image files of area burned, BSQ format in geographic projection. There is one file for each month of 2000 and one file for all of the year 2000. There is also a comma-delimited ASCII text file that provides geographic coordinates (latitude and longitude) of the center of each pixel indicated as a burned area for all of 2000.
MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V061
The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year. Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).Improvements/Changes from Previous Versions* The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.* A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
ABoVE: Ignitions, Burned Area, and Emissions of Fires in AK, YT, and NWT, 2001-2018
This dataset provides estimates of daily burned area, carbon emissions, and uncertainty, and daily fire ignition locations for boreal fires in Alaska, U.S., and in the Yukon and Northwest Territories, Canada. The data are at 500 m resolution for the 18-year period from 2001-2018. Burned area was retrieved from combining fire perimeter data from the Alaskan and Canadian Large Fire Databases with surface reflectance and active fire data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6. Per-pixel carbon consumption was estimated based on a statistical relationship between field estimates of pyrogenic consumption and several environmental variables. To derive the carbon consumption estimates, the approach from Alaskan Fire Emissions Database (AKFED) was updated and extended for the period 2001-2018. Fire weather variables, temperature, and the drought code complemented remotely sensed tree cover and burn severity as model predictors. Fire ignition location and timing were extracted from the daily burned area maps.
MASTER: California Fire-Burn Area Emergency Response, California, April 2008
This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) mission's preparatory airborne campaign during four flights aboard a DOE B-200 aircraft over California, U.S., 2008-04-14 to 2008-04-26. The locations sampled include areas affected by wildfires in 2007. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
SAFARI 2000 1-Degree Estimates of Burned Biomass, Area, and Emissions, 2000
A new method is used to generate spatial estimates of monthly averaged biomass burned area and spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa.Global burned area data for the year 2000 (GBA2000) supplemented with the Along Track Scanning Radiometer (ATSR) fire count data are employed to quantify the area burned at 1-km resolution by using a fractional vegetation cover map derived from satellite observations. To account for the spatial heterogeneity in main types of vegetation within each 1-km grid cell, fuel load maps were developed from biomass density data sets for herbaceous and tree covered land together with fractional tree and vegetation cover maps. To represent the fire characteristics, land cover is classified into forests, woodlands, and grasslands, based on satellite-derived data sets for fractional tree cover. Combustion factors for each land cover type takes into account fuel composition, tree cover density, and the dryness of herbaceous vegetation. In addition, the emission factors (EF) are calculated; EF for grassland fires represent spatial and seasonal variations in fuel conditions using a modified combustion efficiency calculation. This data set contains spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa for the following variables:acetic acid (CH3COOH); methanol (CH3OH); methane (CH4); carbon dioxide (CO2); carbon monoxide (CO); formaldehyde (HCHO); non-methane hydrocarbons (NMHC); and particulate matter less than 2.5 um in diameter (PM2.5). Annual amounts of total area burned and CO2 emissions for southern Africa are compared to those from other authors.
MASTER: California Fire-Burn Area Emergency Response, California, August 2008
This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during four flights aboard a DOE B200 aircraft over California, U.S., from 2008-08-20 to 2008-08-27. Objectives included mapping for California Fire-Burn Area Emergency Response (BAER). This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 10-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
SAFARI 2000 Emissions Estimates, MODIS Burned Area Product, Dry Season 2000
The recently generated MODIS burned area product over southern Africa for the month of September 2000 was used to calculate regional biomass burning emissions from grassland and woodland fires for a number of trace gases and particulates at 1 km spatial resolution. A dynamic regional fuel load model developed for southern Africa in support of SAFARI 2000 fire emissions modeling is used to compute spatially explicit southern Africa fuel load data. Regional grassland and woodland emissions are estimated using ecosystem-specific emission factor algorithms for carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), non-methane hydrocarbons (NMHC), and particulate matter with diameter less than 2.5 um (PM2.5) for southern African savanna fires (Korontzi et al., 2004). In addition, the emissions database for this region is expanded by incorporating emission factors for a variety of compounds, including oxygenated volatile organic compounds (OVOC), halocarbons, nitrogen oxides (NOx), ammonia (NH3), sulfur dioxide (SO2), hydrogen cyanide (HCN), and particulate ionic components measured during the SAFARI 2000 dry season field campaign.The data set archived by ORNL DAAC provides a MODIS-based estimate of CO (carbon monoxide) pyrogenic emissions (in kg) for southern Africa in September 2000 at 1 km. The data image file is stored in GeoTIFF binary format. Pyrogenic emissions of the other trace gases and particulates estimated by this study will be archived by ORNL DAAC when the data sets are finalized.
SAFARI 2000 MODIS 500-m Burned Area Products, Southern Africa, Dry Season 2000
The SAFARI 2000 project was selected as the first regional test for a prototype regional 500 m MODIS burned area product. The MODIS burned area product maps the 500 m location and approximate day of burning using a change detection algorithm based on a bi-directional reflectance model-based expectation method applied to the MODIS near-infrared and shortwave infrared bands (Roy et al., 2002). The algorithm was applied to recently reprocessed 500 m daily MODIS land surface reflectance data to produce burned area data sets for all of southern Africa for 2000 forward. This archived data set contains MODIS 500 m burned area products for two dry season months (July and September 2000).Burned area products are spatially explicit data sets that describe the approximate day of burning at 500 m resolution for all of southern Africa south of the Equator, including Madagascar. The burned area maps are compressed GeoTiff files. Several text files are included in the compressed files to aid ENVI (Research Systems, Inc.) users, including ENVI header files and ENVI density slice files. The data set also includes a projection parameters file.The MODIS burned area data set was validated using a methodology based upon the interpretation of multitemporal Landsat Enhanced Thematic Mapper plus (ETM+) data as described in Roy et al. (in press).
VIIRS/NPP Burned Area Monthly L4 Global 500m SIN Grid V002
The daily NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 2 data product is a monthly, global gridded 500-meter (m) product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750 m VIIRS imagery coupled with 750 m VIIRS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive Vegetation Index (VI) derived from VIIRS shortwave infrared channels M8 and M11, and a measure of temporal texture. VIIRS bands that are both sensitive and insensitive to biomass burning are used to detect changes caused by fire and to differentiate them from other types of change. The mapping algorithm ultimately identifies the date of burn, to the nearest day, for 500 m grid cells within the individual sinusoidal tile being processed. The date is encoded in a single data layer of the output product as the ordinal day of the calendar year on which the burn occurred (range 1–366), with a value of 0 for unburned land pixels and additional values reserved for missing data and water grid cells. The VNP64A1 data product is designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined burned area product to promote the continuity of the Earth Observation System (EOS) mission. The data layers provided in the VNP64A1 product include Burn Date, Burn Date Uncertainty, and Quality Assurance (QA), along with First Day and Last Day of reliable change detection of the year. A low resolution browse is also provided showing the burned date layer with a color map applied in JPEG format.Known Issues* Additional information on known issues is provided in Section 8 of the User Guide and on the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS).Improvements/Changes from Previous Versions* Improved calibration algorithm and coefficients for entire Suomi NPP mission.* Improved geolocation accuracy and applied updates to fix outliers around maneuver periods.* Corrected the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid- to high-latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 Bidirectional Reflectance Distribution Function (BRDF)/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data. * Replaced the land/water mask input product with the eight-class land/water mask from the VNP03 geolocation product that better aligns with MODIS.* More details can be found in this [VIIRS Land V2 Changes document](https://landweb.modaps.eosdis.nasa.gov/data/userguide/VIIRS_Land_C2_Changes_09152022.pdf).
BRASA - A merger proposal for burned area in Brazil.
<p><strong>Contact:</strong> <a href="mailto:henri.leaos@gmail.com">henri.leaos@gmail.com</a> | <a href="mailto:paulo.leao@cemaden.gov.br">paulo.leao@cemaden.gov.br</a></p><p><strong>Purpose:</strong> A burned area product that maps the largest extent of burned coverage in Brazil. This asset is the result from the fusion of three datasets at different scales: Global products that offer a broader and more conservative view with a coarser resolution (MCD64A1 - 500m and Fire_CCI 250m), combined with regional products with a finer resolution (Mapbiomas Collection 2 - 30m).</p><p><strong>Coverage:</strong> Brazil</p><p><strong>Period:</strong> 2001 - 2020</p><p><strong>Spatial resolution:</strong> 30-meters</p><p><strong>Temporal resolution:</strong> Annual</p><p><strong>Coordinate reference system:</strong> Geographic Coordinate System with Datum WGS-84 (EPSG:4326)</p><p><strong>File format: </strong>Each zip file contains nine tiles in compressed TIFF format. The pixel values represent the area burned and the origin of the information. </p><blockquote><p><strong>Legend: </strong></p><ul><li>Mapbiomas2 - 1</li><li>Fire_CCI - 3</li><li>Mapbiomas2 + Fire_CCI = 4</li><li>MCD64A1 - 7</li><li>Mapbiomas2 + MCD64A1 = 8</li><li>Fire_CCI + MCD64A1 = 10</li><li>Mapbiomas2 + Fire_CCI + MCD64A1 = 11</li></ul></blockquote><p><strong>Code:</strong> https://doi.org/10.5281/zenodo.10183061</p><p><strong>Dataset usage</strong>: It is free to use, but if you use this dataset in your work, please cite the repository and our paper correctly. We also welcome users to invite us for collaboration.</p><p><strong>Acknowledgements:</strong> To the MAP-Fire Maranhão Project: FAPESP (process no. 2020/16457-3, 2022/06158-4. ), FAPEMA (No. CACD 02989/20) and CNPq (process no. 409531/2021-9). </p><p><strong>For this dataset, please use the following references:</strong></p><ul><li><i>Paulo Henrique A. Leão et al. Contribuição de produtos de área queimada na Amazônia Maranhense: proposta de avaliações combinadas. Geoinfo. 2022. Disponível em: <</i><a href="http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m16c/2022/12.16.16.32/doc/311-316_Leao_contribuicao.pdf"><i>http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m16c/2022/12.16.16.32/doc/311-316_Leao_contribuicao.pdf</i></a><i>></i></li><li><i>Eduarda Vaz Braga et al. COMPARISON BETWEEN PRODUCTS FROM BURNT AREAS AND THE RELATIONSHIP WITH LAND USE AND COVERAGE IN THE STATE OF MARANHÃO.. In: ANAIS DO XX SIMPóSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2023, Florianópolis. <strong>Anais eletrônicos...</strong> São José dos Campos, INPE, 2023. Disponível em: <</i><a href="https://proceedings.science/sbsr-2023/trabalhos/comparison-between-products-from-burnt-areas-and-the-relationship-with-land-use?lang=en"><i>https://proceedings.science/sbsr-2023/trabalhos/comparison-between-products-from-burnt-areas-and-the-relationship-with-land-use?lang=en</i></a><i>>. </i></li></ul><p> </p>
The Treatment Challenges and Limitation in High-Voltage Pediatric Electrical Burn at Rural Area
ClinicalTrials.gov study NCT04772573. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Umbilical Cord Mesenchymal Stem Cells for the Repair of Large Area Burn Wounds
ClinicalTrials.gov study NCT06122532. IPD Sharing: NO. Countries: 1. Publications: 0.
A Safety, Tolerability and Pharmacokinetic Study of cP12 in Adults With Up To 5% Total Body Surface Area Burns
ClinicalTrials.gov study NCT06814717. IPD Sharing: NO. Countries: 1. Publications: 0.
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