Operational active fire mapping and burnt area identification applicable to Mexican Nature Protection Areas using MODIS and NOAA-AVHRR direct readout data

Ressl, Rainer; López, Gerardo; Cruz, Isabel F.; Colditz, René R.; Schmidt, Michaël; Ressl, S.; Jiménez, Raúl

doi:10.1016/j.rse.2008.10.016

Cited by 40 publications

(34 citation statements)

References 28 publications

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“…They typically occur during the dry season (March-May), can affect large areas and last for several days. These fires, if a consequence of human action, are illegal and usually generate government agency response, especially if they grow out of control and affect farming, forest extraction and natural protected areas (NPA) [40,41]. Although the distinction can be easily Fire in the Yucatán is not only an environmental disturbance, but also the main land-clearing tool in the region.…”

Section: Study Areamentioning

confidence: 99%

Fire Data as Proxy for Anthropogenic Landscape Change in the Yucatán

Millones

Rogan

Turner

et al. 2017

Land

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Abstract:Fire is one of the earliest and most common tools used by humans to modify the earth surface. Landscapes in the Yucatán Peninsula are composed of a mosaic of old growth subtropical forest, secondary vegetation, grasslands, and agricultural land that represent a well-documented example of anthropogenic intervention, much of which involves the use of fire. This research characterizes land use systems and land cover changes in the Yucatán during the 2000-2010 time period. We used an active fire remotely sensed data time series from the Moderate Resolution Imaging Spectroradiometer (MODIS), in combination with forest loss, and anthrome map sources to (1) establish the association between fire and land use change in the region; and (2) explore links between the spatial and temporal patterns of fire and specific types of land use practices, including within-and between-anthromes variability. A spatial multinomial logit model was constructed using fire, landscape configuration, and a set of commonly used control variables to estimate forest persistence, non-forest persistence, and change. Cross-tabulations and descriptive statistics were used to explore the relationships between fire occurrence, location, and timing with respect to the geography of land use. We also compared fire frequencies within and between anthrome groups using a negative binomial model and Tukey pairwise comparisons. Results show that fire data broadly reproduce the geography and timing of anthropogenic land change. Findings indicate that fire and landscape configuration is useful in explaining forest change and non-forest persistence, especially in fragmented (mosaicked) landscapes. Absence of fire occurrence is related usefully to the persistence of spatially continuous core areas of older growth forest. Fire has a positive relationship with forest to non-forest change and a negative relationship with forest persistence. Fire is also a good indicator to distinguish between anthrome groups (e.g., croplands and villages). Our study suggests that active fire data series are a reasonable proxy for anthropogenic land persistence/change in the context of the Yucatán and are useful to differentiate quantitatively and qualitatively between and within anthromes.

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Section: Study Areamentioning

confidence: 99%

Fire Data as Proxy for Anthropogenic Landscape Change in the Yucatán

Millones

Rogan

Turner

et al. 2017

Land

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“…Moreover, contextual algorithms which exploit the strong temperature contrast among hot fire pixels and its cold background by calculating spatial statistics (e.g. average values and standard deviation) within variable sized windows around candidate fire pixels have been developed (Boles and Verbyla, 2000, Eva and Flasse, 1996, Fernandez et al, 1995, Flasse and Ceccato, 1996, Giglio et al, 1999, Harris, 1996, Justice et al, 1996, Ressl et al, 2009, Soja et al, 2004, Stroppiana et al, 2000. In addition, various other methods relying on statistical approaches applied to historical satellite records have been developed (Cuomo et al, 2001, Kalpoma and Kudoh, 2006, Kudoh and Noguchi, 1991, Pergola et al, 2004.…”

Section: Developed Algorithms For Hot Spot Detection With Avhrrmentioning

confidence: 99%

“…Afterwards, different thresholds for ch3 have been investigated. In order to detect smaller and cooler fires, the brightness temperature (Tb) thresholds are lower than the values for the multi-threshold algorithm, and lie between 310 K and 311 K (Eva and Flasse 1996, Flasse and Ceccato 1996, Giglio et al 1999, Nakayma et al 1999, Ressl et al 2009, Stroppiana et al 2000. Both values have been tested:…”

Section: Contextualmentioning

confidence: 99%

“…The codomain was evaluated by literature review (Eva and Flasse 1996, Flasse and Ceccato 1996, Giglio et al 1999, Ressl et al 2009, Stroppiana et al 2000 and resulted in following values:…”

Section: Contextualmentioning

confidence: 99%

“…In literature, the threshold value between a potential fire pixel and its background pixels (term (5)) is constantly set to 3 K (Eva and Flasse 1996, Flasse and Ceccato 1996, Nakayma et al 1999, Ressl et al 2009, Stroppiana et al 2000. Thus, no other values have been tested.…”

Section: Contextualmentioning

confidence: 99%

See 2 more Smart Citations

Fire Monitoring - The use of medium resolution satellites (AVHRR, MODIS, TET) for long time series processing and the implementation in User Driven Applications and Services

Fuchs

Stein

Strunz

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper introduces fire monitoring works of two different projects, namely TIMELINE (TIMe Series Processing of Medium Resolution Earth Observation Data assessing Long -Term Dynamics In our Natural Environment) and PHAROS (Project on a Multi-Hazard Open Platform for Satellite Based Downstream Services). It describes the evolution from algorithm development from in applied research to the implementation in user driven applications and systems. Concerning TIMELINE, the focus of the work lies on hot spot detection. A detailed description of the choice of a suitable algorithm (round robin approach) will be given. Moreover, strengths and weaknesses of the AVHRR sensor for hot spot detection, a literature review, the study areas and the selected approach will be highlighted. The evaluation showed that the contextual algorithm performed best, and will therefore be used for final implementation. Concerning the PHAROS project, the key aspect is on the use of satellite-based information to provide valuable support to all phases of disaster management. The project focuses on developing a pre-operational sustainable service platform that integrates space-based EO (Earth Observation), terrestrial sensors and communication and navigation assets to enhance the availability of services and products following a multi-hazard approach.

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Remote Sensing of Natural Disasters

Chien¹,

Tanpipat²

2012

Encyclopedia of Sustainability Science and Technology

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Operational active fire mapping and burnt area identification applicable to Mexican Nature Protection Areas using MODIS and NOAA-AVHRR direct readout data

Cited by 40 publications

References 28 publications

Fire Data as Proxy for Anthropogenic Landscape Change in the Yucatán

Fire Data as Proxy for Anthropogenic Landscape Change in the Yucatán

Fire Monitoring - The use of medium resolution satellites (AVHRR, MODIS, TET) for long time series processing and the implementation in User Driven Applications and Services

Remote Sensing of Natural Disasters

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