Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy
Creators
-
Chaparro, David
(Producer)1
- Jagdhuber, Thomas (Producer)1, 2
- Piles, María (Researcher)3
- Jonard, François (Researcher)4
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Fluhrer, Anke
(Researcher)1, 2
- Vall-llossera, Mercè (Researcher)5
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Camps, Adriano
(Researcher)5, 6
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López-Martínez, Carlos
(Researcher)7, 8
- Fernández-Morán, Roberto (Researcher)3
- Baur, Martin (Researcher)9
- Feldman, Andrew F. (Researcher)10, 11
- Fink, Anita (Researcher)1
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Entekhabi, Dara
(Researcher)12
- 1. Microwaves and Radar Institute, German Aerospace Center (DLR)
- 2. Institute of Geography, University of Augsburg
- 3. Image Processing Lab, Universitat de València
- 4. Earth Observation and Ecosystem Modelling lab, SPHERES research unit, Université de Liège (ULiege)
- 5. CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), and the Institut d'Estudis Espacials de Catalunya (IEEC)
- 6. ASPIRE Visiting International Professor, UAE University
- 7. CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC)
- 8. Institut d'Estudis Espacials de Catalunya (IEEC)
- 9. University of Cambridge, Department of Geography
- 10. Biospheric Sciences Laboratory, NASA Goddard Space Flight Center
- 11. Earth System Sciences Interdisciplinary Center, University of Maryland
- 12. Civil and Environmental Engineering, Massachusetts Institute of Technology
Description
Publication: Chaparro et al. (2024)
This dataset contains estimates of Live Fuel Moisture Content (LFMC) in the Western United States. LFMC is the percentage of vegetation water mass over the dry biomass of the plants. Here, LFMC is retrieved by isolating the water component of the passive microwaves vegetation optical depth (VOD) signal at three frequencies: L-band (1.4 GHz), X-band (10.65 GHz) and Ku-band (18.7 GHz). Each frequency represents a different canopy sensing depth. To isolate LFMC from VOD, auxiliary information to account for the biomass and structure of the vegetation has been used: radar backscatter data from Sentinel-1 and canopy height data from GEDI/Sentinel-2. The dataset spans between April 2015 and December 2018 for L- and X-bands, and between April 2015 and July 2018 for Ku-band retrievals.
Details:
- Period: April 2015 - December 2018 (daily resolution)
- Gridding: 0.25º
- Grid type: lat/lon
- Size: 73 (lat) x 104 (lon) x 1371 (time)
Files
Files
(249.9 MB)
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Additional details
Related works
- Is derived from
- Publication: 10.1016/j.rse.2024.113993 (DOI)
Funding
- Ramón Areces Postdoctoral Fellowship XXXIII
- Fundación Ramón Areces
- MIT Spain Seed Fund LCF/PR/MIT19/51840001
- Massachusetts Institute of Technology
- MIT-Germany Seed Fund -
- Massachusetts Institute of Technology
- MIT-Belgium Seed Fund -
- Massachusetts Institute of Technology
- AI for complex systems: Brain, Earth, Climate, Society AI4CS CIPROM/2021/56
- Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital
- PID2020-114623RB-C32 MCIN/AEI/10.13039/501100011033
- Ministerio de Ciencia e Innovación
- European Regional Development Fund RTI2018-096765-A-100
- European Union
Dates
- Created
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2024-01-10