•     

  • Forest Data Explorer


© Forest Data Explorer
by Universidad de Alcalá
Modelled (weekly step) using as reference in-situ data from the Madrid region and as predictor surface reflectance from the Sentinel-2 satellites. More details on modelling and estimation accuracy in M. Tanase et al. (2022) Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment, Forests, 13 (11) 1846, doi.org/10.3390/f13111846.
Disclaimer
Data derived within projects funded by the Spanish Ministry for Science and Innovation (PID2020-114062RA-I00, CNS2022-135251, RYC-2017–22555) and the Madrid Autonomous Region (CM/JIN/2019-011, CM/JIN/2021-024).
Data Distribution
Region Variable Year Download
Map Query Tools
  

  
  Seleccione un pixel en el mapa

Regional Stats
Modelled values based on Lidar derived forest metrics (i.e. reference). The reference values were derived from the PNOA Lidar flight closest in time with the field work carried out during the 4th National Forest Inventory. The remaining Lidar flight was used for temporal cross-validation.