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Dataset Open Access

Live Fuel Moisture Content Dataset

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb


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  <dc:creator>Chang Wei Tan</dc:creator>
  <dc:creator>Christoph Bergmeir</dc:creator>
  <dc:creator>Francois Petitjean</dc:creator>
  <dc:creator>Geoffrey I Webb</dc:creator>
  <dc:date>2020-06-21</dc:date>
  <dc:description>This dataset is part of the Monash, UEA &amp; UCR time series regression repository. http://timeseriesregression.org/

The goal of this dataset is to predict the moisture content in vegetation. The moisture is the ratio between the weight of water in vegetation and the weight of the dry part of vegetation.  This is known as the live fuel moisture content (LFMC) and is an important variable as the risk of fire increases very rapidly as soon as the LFMC goes below 80%.This data is paired with one year of daily reflectance data at 7 spectral bands (459 nm to 2155 nm) before the LFMC sampling date from the Moderate Resolution Imaging Spectrometer (MODIS) satellite. This dataset contains 5003 time series obtained from researchers at Monash University with 7 dimensions, each corresponding to one spectral band.

Data Donor
Liujun Zhu, liujun.zhu@monash.edu</dc:description>
  <dc:identifier>https://zenodo.org/record/3902716</dc:identifier>
  <dc:identifier>10.5281/zenodo.3902716</dc:identifier>
  <dc:identifier>oai:zenodo.org:3902716</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3902715</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ts_regression</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>time series</dc:subject>
  <dc:subject>regression</dc:subject>
  <dc:title>Live Fuel Moisture Content Dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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