Improved Detection of Hotspots using the AVHRR 3.7-um Channel

Lee, Thomas F.; Tag, Paul M.

doi:10.1175/1520-0477(1990)071<1722:idohut>2.0.co;2

Cited by 83 publications

(35 citation statements)

References 10 publications

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“…Because of variability of thermal properties of fires and nonfire regions, fire detection and derivation of the fire radiative energy is done by comparing the fire pixel with the surrounding region. This method assumes that the nonfire region surrounding the fire inside the satellite 1 km pixel have the same thermal properties as the surrounding region around the fire pixel [Dozier, 1981;Lee and Tag, 1990;Kaufman et al, 1996]. This assumption may be in error since the probability for hot burn scars near fires can be higher than at a distance of a few kilometers from the fire.…”

Section: Thermal Properties Of Nonfire Regionmentioning

confidence: 99%

SCAR‐B fires in the tropics: Properties and remote sensing from EOS‐MODIS

Kaufman¹,

Kleidman²,

King³

1998

J. Geophys. Res.

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Abstract. Two moderate resolution imaging spectroradiometer (MODIS) instruments are planned for launch in 1999 and 2000 on the NASA Earth Observing System (EOS) AM-1 and EOS PM-1 satellites. The MODIS instrument will sense fires with designated 3.9 and 11 gm channels that saturate at high temperatures (450 and 400 K, respectively). MODIS data will be used to detect fires, to estimate the rate of emission of radiative energy from the fire, and to estimate the fraction of biomass burned in the smoldering phase. The rate of emission of radiative energy is a measure

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Section: Thermal Properties Of Nonfire Regionmentioning

confidence: 99%

SCAR‐B fires in the tropics: Properties and remote sensing from EOS‐MODIS

Kaufman¹,

Kleidman²,

King³

1998

J. Geophys. Res.

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“…Two ''warm'' pixels (290 and 293 K) were observed over Big Lake itself in the imagery. These were false detections probably resulting from the ambiguous thermal signal produced by the presence of water and edges of the smoke (Lee and Tag 1990). A visible image from the same pass showed a smoke plume from the northern fire advecting south directly over the lake (Fig.…”

Section: B 5 Junementioning

confidence: 99%

Use of Real-Time Multisatellite and Radar Data to Support Forest Fire Management

Hufford¹,

Kelley²,

Sparkman³

et al. 1998

Wea. Forecasting

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Combined digital data from multiple satellites and Doppler radar can provide fire weather meteorologists and resource managers with accurate information on forest fire location, intensity, growth, smoke plumes, and associated mesoscale weather. An integrated application using real-time satellite and radar is described for the Miller's Reach forest fire that occurred in south-central Alaska in June 1996. Generated data and products were made available immediately on-scene via point-to-point high-speed portable satellite communications. This fire consumed over 15 000 ha and destroyed 344 structures.

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“…In the end, a physically-based fire detection model has been developed in order to understand what the limitations are for fire detection using each instrument. Further, the results of the model will also provide insights into how to interpret the fire products that are being derived using various instruments and methodologies (e.g., Cahoon et al, 1992a, Elvidge et al, 1996Flasse and Ceccato, 1996;Justice and Dowty, 1994;Kasischke et al, 1993;Lee and Tag, 1990).…”

Section: Fire Modelingmentioning

confidence: 99%

Wildland Fire Detection from Space: Theory and Application

Cahoon

Alexander

Baum

et al. 2000

Advances in Global Change Research

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New satellite instruments are currently being designed specifically for fire detection, even though to date the detection of active fires from space has never been an integral part of the design of any in-orbit space mission.Rather, the space-based detection of fires during the last two decades has been exploiting measurements obtained for other objectives. The current fire products have proved to be of great benefit and interest, but their usefulness is not fully understood. Part of the confusion about the utility of these measurements stems from the lack of detailed knowledge about the data and its acquisition. The remote sensing research community has spent considerable time and effort trying to rationalize the usefulness of existing satellite imagery for active fire detection. Unfortunately, uncertainties about instrument capabilities pervades much of this research and the true limits of fire detection from space have not been fully evaluated and understood.To analyze the active fire detection capability of any instrument, the flow of energy from the source to the instrument and the instrument's response to that energy must be considered. For this reason, an approach has been developed that models the energy emitted from surface fires, allowing for the fact that fire is itself a variable phenomenon. The energy transmission is then modeled along its path through the atmosphere and through the instrument's optical system. A fundamental concern is in the estimation of the total surface area that emits the energy which defines a single pixel in the image. Unfortunately, most of the fire detection modeling done to date is based on a misconception about the pixel and its actual size. Rather than using the radiometric footprint size, the instantaneousfield-of-view (IFOV) is used to describe the 'resolution' of the instrument. In fact, the radiometric footprint is considerably larger than the IFOV and greatly affects the energy modeling used to estimate the fire detection thresholds of a particular instrument. Based on knowledge of the radiometric footprint, the fire detection capability of AVHRR, DMSP-OLS, and MODIS are reviewed. 2"the pixel, the elementary unit of analysis in remote sensing..., is a delusion which may become a snare for the unwary", P. Fisher (1997).

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Improved Detection of Hotspots using the AVHRR 3.7-um Channel

Cited by 83 publications

References 10 publications

SCAR‐B fires in the tropics: Properties and remote sensing from EOS‐MODIS

SCAR‐B fires in the tropics: Properties and remote sensing from EOS‐MODIS

Use of Real-Time Multisatellite and Radar Data to Support Forest Fire Management

Wildland Fire Detection from Space: Theory and Application

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