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Open AccessJournal ArticleDOI

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.
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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.

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Citations
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The concept of creating an automated system of aerospace monitoring of forest fires

TL;DR: In this paper , a structure of an automated aerospace monitoring system for monitoring of forest fires and a model for the joint use of satellite monitoring data of the forest fire situation in Russia and clarifying observations of unmanned aerial vehicles are proposed.

La Teledetección en la Caracterización del Régimen de Incendios y de los Efectos Sobre la Vegetación

TL;DR: In this paper, the authors review the aid of remote sensing in mapping wildfire occurrence and severity and post-fire regeneration and revisa the aplicacion de sensores remotos for cartografiar el desarrollo de los incendios, su severidad and posterior recuperation.
Proceedings ArticleDOI

SEA-HAZEMON: Active Haze Monitoring and Forest Fire Detection Platform

TL;DR: The SEA-HAZEMON platform as discussed by the authors is an IoT platform that consists of low-cost air quality sensors and several cloud services for real-time monitoring of haze and air pollution.
Journal ArticleDOI

A Wildfire Detection Algorithm Based on the Dynamic Brightness Temperature Threshold

TL;DR: Wang et al. as mentioned in this paper proposed an adaptive wildfire detection algorithm, DBTDW, based on a dynamic brightness temperature threshold, which has higher universality, which will help improve the effectiveness of satellite remote fire detection.
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.
Journal ArticleDOI

The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning

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.
Journal ArticleDOI

An overview of MODIS Land data processing and product status

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.
Journal ArticleDOI

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

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.
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