A User-Friendly Remote-Sensing Web-Platform for Biodiversity Conservation and Management in Protected Areas

Chávez, Roberto O.; Lastra, José A.; Valencia, D.; Díaz-Hormazábal, Ignacio

doi:10.1109/lagirs48042.2020.9165604

2020 IEEE Latin American GRSS &Amp; ISPRS Remote Sensing Conference (LAGIRS) 2020

DOI: 10.1109/lagirs48042.2020.9165604

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A User-Friendly Remote-Sensing Web-Platform for Biodiversity Conservation and Management in Protected Areas

Roberto O. Chávez

José A. Lastra

D. Valencia

et al.

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2022

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Cited by 1 publication

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“…50)], "moderately unusual" [e.g., RDF in the range (0.50-0.75)], "very unusual" [e.g., RDF in the range (0.75-0.95)] to "extremely unusual" [e.g., RDF in the range (>0.95)]. Readers can refer toChávez et al (2020) to see a monitoring system using different RFD ranges for warning alerts for the La Campana National Park in Central Chile. In this paper, we used as a reference the 2000-2018 period, and consider negative anomalies of the different climate and vegetation condition variables as extreme, when those values were outside the 0.95 of the reference frequency distribution (RFD) considering the historical values at a given time of the year.…”

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confidence: 99%

A Probabilistic Multi-Source Remote Sensing Approach to Evaluate Extreme Precursory Drought Conditions of a Wildfire Event in Central Chile

Chávez

Castillo-Soto

Traipe

et al. 2022

Front. Environ. Sci.

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Forest fires are a major issue worldwide, and especially in Mediterranean ecosystems where the frequency, extension and severity of wildfire events have increased related to longer and more intense droughts. Open access remote sensing and climate datasets make it possible to describe in detail the precursory environmental conditions triggering major fire events under drought conditions. In this study, a probabilistic methodological approach is proposed and tested to evaluate extreme drought conditions prior to the occurrence of a wildfire in Central Chile, an area suffering an unprecedented prolonged drought. Using 21 years of monthly records of gridded climate and remotely sensed vegetation water status data, we detected that vegetation at the ground level, by means of fine and dead fuel moisture (FDFM), and canopy level, by means of the enhanced vegetation index (EVI) were extremely dry for a period of about 8 months prior to the fire event, showing records that fall into the 2.5% of the lowest values recorded in 21 years. These extremely dry conditions of the vegetation, consequence of low air humidity and precipitation, favored the ignition and horizontal and vertical propagation of this major wildfire. Post fire, we found high severity values for the native vegetation affected by the fire, with dNBR values >0.44 3 days after the fire and significant damage to the Mediterranean sclerophyllous and deciduous forest present in the burned area. The proposed probabilistic model is presented as an innovation and an alternative to evaluate not only anomalies of the meteorological and vegetation indices that promote the generation of extreme events, but also how unusual or extreme these conditions are. This is achieved by placing the abnormal values in the context of the reference historical frequency distribution of all available records, in this case, more than 20 years of remote sensing and climate data. This methodology can be widely applied by fire researchers to identify critical precursory fire conditions in different ecosystems and define environmental indicators of fire risk.

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A Probabilistic Multi-Source Remote Sensing Approach to Evaluate Extreme Precursory Drought Conditions of a Wildfire Event in Central Chile

Chávez

Castillo-Soto

Traipe

et al. 2022

Front. Environ. Sci.

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A User-Friendly Remote-Sensing Web-Platform for Biodiversity Conservation and Management in Protected Areas

Cited by 1 publication

References 27 publications

A Probabilistic Multi-Source Remote Sensing Approach to Evaluate Extreme Precursory Drought Conditions of a Wildfire Event in Central Chile

A Probabilistic Multi-Source Remote Sensing Approach to Evaluate Extreme Precursory Drought Conditions of a Wildfire Event in Central Chile

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