Yayın: Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
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AbstractGlobe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, Globe-LFMC 2.0 incorporates over 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within the dataset provides essential information, including date, geographical coordinates, plant species, functional type, and, where available, topographical details. Moreover, the dataset encompasses insights into the sampling and weighing procedures, as well as information about land cover type and meteorological conditions at the time and location of each sampling event. Globe-LFMC 2.0 can facilitate advanced LFMC research, supporting studies on wildfire behaviour, physiological traits, ecological dynamics, and land surface modelling, whether remote sensing-based or otherwise. This dataset represents a valuable resource for researchers exploring the diverse LFMC aspects, contributing to the broader field of environmental and ecological research.
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Springer Science and Business Media LLC
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Cartography, Data Descriptor, [SPI] Engineering Sciences [physics], Science, Ecophysiology, Plant physiology, Management, Monitoring, Policy and Law, [PHYS] Physics [physics], Globe-LFMC 2.0, Filter (signal processing), Live fuel moisture content, Impact of Climate Change on Forest Wildfires, [SPI]Engineering Sciences [physics], Environmental and ecological research, Natural Resources and Conservation, Psychology, Landslide Hazards and Risk Assessment, Live Fuel Moisture Content, [PHYS]Physics [physics], Global and Planetary Change, Vegetation Monitoring, Ecology, Geography, Q, Natural Resources Management and Policy, Remote Sensing in Vegetation Monitoring and Phenology, Sampling (signal processing), Globe-LFMC, Globe, Computer science, FOS: Psychology, Natural variation in plants, FOS: Biological sciences, Environmental Science, Physical Sciences, Computer vision, Other Environmental Sciences, Environmental Sciences, Dataset, Neuroscience
