The collection 6 MODIS active fire detection algorithm and fire products.
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TLDR
Improvements made to the fire detection algorithm and swath-level product that were implemented as part of the Collection 6 land-product reprocessing, which commenced in May 2015, indicated targeted improvements in the performance of the collection 6 activeFire detection algorithm compared to Collection 5, with reduced omission errors over large fires, and reduced false alarm rates in tropical ecosystems.About:
This article is published in Remote Sensing of Environment.The article was published on 2016-06-01 and is currently open access. It has received 810 citations till now. The article focuses on the topics: Fire detection & Moderate-resolution imaging spectroradiometer.read more
Citations
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Characteristics of lightning-caused wildfires in central Brazil in relation to cloud-ground and dry lightning
Vanúcia Schumacher,Alberto Setzer,Marcelo M. F. Saba,Kleber P. Naccarato,Enrique Vieira Mattos,Flavio Justino +5 more
TL;DR: In this paper, a cloud-to-ground (CG) lightning and CG dry-lightning (CGDL) detected by a ground network, with fire pixels mapped by satellite remote sensing (AQUA, S-NPP and NOAA-20) over 1.8 × 106 km2 in Central Brazil, between 2015 to 2019.
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Estimation of Byram’s Fire Intensity and Rate of Spread from Spaceborne Remote Sensing Data in a Savanna Landscape
TL;DR: In this paper, the authors extracted fire fronts from Sentinel-2 (using the shortwave infrared bands) and use the available fire products for S-NPP VIIRS and Meteosat SEVIRI.
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The outflow of Asian biomass burning carbonaceous aerosol into the upper troposphere and lower stratosphere in spring: radiative effects seen in a global model
Prashant Chavan,Prashant Chavan,Suvarna Fadnavis,Tanusri Chakroborty,Christopher E. Sioris,Sabine Griessbach,Rolf Müller +6 more
TL;DR: In this paper, an outflow of Asian biomass burning aerosols into the upper troposphere and lower stratosphere (UTLS) was shown. But the authors did not consider the effect of these aerosols on the global climate.
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Serotiny in the South African shrub Protea repens is associated with gradients of precipitation, temperature, and fire intensity
TL;DR: Serotiny was highest where fire intensity was historically high, where both mean annual precipitation and mean annual temperature were low, and where rainfall was least seasonal, but fire frequency was not a predictor of serotiny.
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Initials results of the TUBIN small satellite mission for wildfire detection
TL;DR: TUBIN as discussed by the authors is a microsatellite mission tasked with the demonstration of microbolometer technology for the detection of high-temperature events, which employs a set of two microbolometers sensitive in the thermal range of the electromagnetic spectrum as well as a complementary CMOS-based imager for the visible spectrum.
References
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Journal ArticleDOI
An Enhanced Contextual Fire Detection Algorithm for MODIS
TL;DR: An improved replacement detection algorithm is presented that offers increased sensitivity to smaller, cooler fires as well as a significantly lower false alarm rate.
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The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
Christine Wiedinmyer,S. K. Akagi,Robert J. Yokelson,Louisa K. Emmons,J. A. Al-Saadi,John J. Orlando,Amber J. Soja +6 more
TL;DR: The Fire Inventory from NCAR version 1.0 (FINNv1) provides daily, 1 km resolution, global estimates of the trace gas and particle emissions from open burning of biomass, which includes wildfire, agricultural fires, and prescribed burning and does not include biofuel use and trash burning as discussed by the authors.
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An overview of MODIS Land data processing and product status
Christopher O. Justice,John R. Townshend,Eric Vermote,Edward J. Masuoka,Robert E. Wolfe,Nazmi Saleous,David P. Roy,Jeffrey T. Morisette +7 more
TL;DR: In this article, the authors provide a summary of the MODIS instrument performance and status, the data production system, the products, their status and availability for land studies, and a partnership between Science Team members and MODIS Science Data Support Team is producing data sets of unprecedented volume and number for the land research and applications.
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Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm
TL;DR: The first results of the MODIS vegetation continuous field algorithm's global percent tree cover are presented in this article, where a supervised regression tree algorithm is used to estimate tree cover per 500m MODIS pixel.
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Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power
Johannes W. Kaiser,Angelika Heil,Meinrat O. Andreae,Angela Benedetti,N. Chubarova,L. Jones,Jean-Jacques Morcrette,M. Razinger,Martin G. Schultz,Martin Suttie,G. R. van der Werf +10 more
TL;DR: The Global Fire Assimilation System (GFASv1.0) as mentioned in this paper calculates biomass burning emissions by assimilating Fire Radiative Power (FRP) observations from the MODIS instruments onboard the Terra and Aqua satellites.