Spectro-temporal heterogeneity measures from dense high spatial resolution satellite image time series: application to grassland species diversity estimation

HIGHLIGHTS

• who: Mailys Lopes and colleagues from the University of Toulouse, INRA, INPT, INPT-EI PURPAN, Chemin de Borde-Rouge have published the research work: Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation, in the Journal: (JOURNAL)
• what: The aim of this study is to attempt verifying the SVH in grasslands using the temporal information provided by dense Satellite Image Time Series (SITS) with a high spatial resolution. The authors propose new SH measures derived from this clustering and computed at the grassland level. The . . .
  

   

  

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