<p>Here is a dataset of live fuel moisture content (LFMC, computed as the water mass over dry mass of living shoots) time series, collected in the French Mediterranean area by the French National Forest Organization (“Office National des Forêts”) for operational fire prevention. A network of 53 sites (called the "Reseau Hydrique" network) were sampled, among which 35 are geolocalized for a maximum period extending from 1996 to 2016. For each site and year available, LFMC is measured during the summer season on shrub species (between one and three species per site) at a weekly to biweekly frequency depending on site and year.</p> <p>The dataset can be used to validate or calibrate fire danger model, assess remote sensing drought indices and...
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver. Th...
Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 ...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://timeseriesre...
Here is a dataset of live fuel moisture content (LFMC, computed as the water mass over dry mass of l...
Live fuel moisture content (LFMC), defined as the mass of water in the foliage and small twigs relat...
International audienceLive Fuel Moisture Content (LFMC) is a critical variable affecting fire igniti...
Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 ...
Remotely sensed vegetation indices have been widely used to estimate live fuel moisture content (LFM...
[EN] Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly ...
Live Fuel Moisture Content (LFMC) is one of the main factors affecting forest ignitability as it det...
Abstract. The present paper presents and discusses the relationships between live Fuel Moisture Cont...
Fuel moisture limits the availability of fuel to wildfires in many forest areas worldwide, but the e...
We present a structured and curated database covering 21 years of LFMC measurements in the Catalan r...
This paper presents an operational algorithm to produce Live Fuel Moisture Content (LFMC) at nationa...
This paper presents an empirical method for deriving fuel moisture content (FMC) for Mediterranean g...
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver. Th...
Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 ...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://timeseriesre...
Here is a dataset of live fuel moisture content (LFMC, computed as the water mass over dry mass of l...
Live fuel moisture content (LFMC), defined as the mass of water in the foliage and small twigs relat...
International audienceLive Fuel Moisture Content (LFMC) is a critical variable affecting fire igniti...
Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 ...
Remotely sensed vegetation indices have been widely used to estimate live fuel moisture content (LFM...
[EN] Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly ...
Live Fuel Moisture Content (LFMC) is one of the main factors affecting forest ignitability as it det...
Abstract. The present paper presents and discusses the relationships between live Fuel Moisture Cont...
Fuel moisture limits the availability of fuel to wildfires in many forest areas worldwide, but the e...
We present a structured and curated database covering 21 years of LFMC measurements in the Catalan r...
This paper presents an operational algorithm to produce Live Fuel Moisture Content (LFMC) at nationa...
This paper presents an empirical method for deriving fuel moisture content (FMC) for Mediterranean g...
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver. Th...
Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 ...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://timeseriesre...