Dataset Open Access
Forkel, Matthias;
Schmidt, Luisa;
Zotta, Ruxandra-Maria;
Dorigo, Wouter;
Yebra, Marta
Related paper: Forkel et al. (2022)
The VOD2LFMC dataset contains estimates of leaf moisture content as defined as live-fuel moisture content (LFMC) derived from passive microwave satellite observation of vegetation optical depth (VOD). LFMC is defined as the fresh mass of a leaf over the dry mass and is expressed in %:
\(LFMC = {m_{fresh}-m_{dry}\over m_{dry}}*100\%\)
LFMC was estimated from the VODCA version 1 dataset of Ku-band VOD using the model approach “B” as described in Forkel et al. (2022).
The file VOD2LFMC-B_v01_2000-2017.zip contains (unzipped ~ 57 GB):
Grid, time and variable definitions:
Grid-name: Geographic Lat/Lon
Pixel-size: 1/4 degrees
Size-x: 1440
Size-y: 557
Time period: February 2000 – July 2017
Temporal resolution: daily
Variable: Live-fuel moisture content (LFMC) in %
Valid-range: 0-400%
Name | Size | |
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VOD2LFMC-B_v01_2000-2017.zip
md5:db5b6d693ba1afceb00099471b9e8942 |
8.6 GB | Download |
Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., and Yebra, M.: Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-121, in review, 2022.
Moesinger, Leander, Dorigo, Wouter, De Jeu, Richard, Van der Schalie, Robin, Scanlon, Tracy, Teubner, Irene, & Forkel, Matthias. (2019). The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2575599
All versions | This version | |
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Data volume | 359.9 GB | 359.9 GB |
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Unique downloads | 32 | 32 |