2022
DOI: 10.3390/rs14133162
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Live Fuel Moisture Content Mapping in the Mediterranean Basin Using Random Forests and Combining MODIS Spectral and Thermal Data

Abstract: Remotely sensed vegetation indices have been widely used to estimate live fuel moisture content (LFMC). However, marked differences in vegetation structure affect the relationship between field-measured LFMC and reflectance, which limits spatial extrapolation of these indices. To overcome this limitation, we explored the potential of random forests (RF) to estimate LFMC at the subcontinental scale in the Mediterranean basin wildland. We built RF models (LFMCRF) using a combination of MODIS spectral bands, vege… Show more

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Cited by 18 publications
(23 citation statements)
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“…Remotely sensed data provide an opportunity for estimating LFMC over large areas at fine spatial and temporal resolutions (Cunill Camprubí et al, 2022; Nolan et al, 2016; Yebra et al, 2018), but species‐specific calibrations are still required to link remotely sensed estimates of vegetation water content to LFMC (Yebra et al, 2013). Models of LFMC based on spectral observations hold promise to overcome this gap, with good results in ecosystems where species‐specific calibration and validation data are available (Yebra & Chuvieco, 2009; Yebra et al, 2013, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Remotely sensed data provide an opportunity for estimating LFMC over large areas at fine spatial and temporal resolutions (Cunill Camprubí et al, 2022; Nolan et al, 2016; Yebra et al, 2018), but species‐specific calibrations are still required to link remotely sensed estimates of vegetation water content to LFMC (Yebra et al, 2013). Models of LFMC based on spectral observations hold promise to overcome this gap, with good results in ecosystems where species‐specific calibration and validation data are available (Yebra & Chuvieco, 2009; Yebra et al, 2013, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…We explored several indicators relating fuel moisture content and meteorological danger conditions. We examined trends in live fuel moisture content (LFMC) using a recently developed remotely-sensed product based on MODIS imagery (Cunill Camprubí et al, 2022). We also investigated temporal patterns in vapor pressure deficit (VPD), one of the main drivers of compounded live and dead fuel moisture content (Resco de Dios et al, 2021), following previous protocols (Nolan et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Incipient mortality thresholds of Pinus ponderosa seedlings occurred at similar RWC and xylem water potentials across populations or organs, similar to values at leaf turgor loss point. Additionally, water content and RWC may potentially advance large‐scale monitoring of forest responses using remote sensing (Cunill Camprubí et al, 2022; Sapes & Sala, 2021; Sapes et al, 2019). Despite such progress, knowledge gaps remain regarding RWC coordination among plant organs (leaves, stems and roots) or at the whole plant level in relation to tree mortality.…”
Section: Introductionmentioning
confidence: 99%