High-resolution residual dry matter (RDM) map for a California oak savanna/annual grassland derived from drone multispectral remote sensing imagery and in-situ grass biomass data

This dataset is a high-resolution (60 cm) grass biomass map derived from drone/UAS (unmanned aerial system)-based multispectral remote sensing, calibrated to in situ field data. It was developed for research on prescribed fire behavior responses to vegetation conditions, and vegetation community reg...

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Hauptverfasser: Mayes, Marc, Shapero, Matthew, Brande, Kaili, Kelly, Caylor, Frank, Davis
Format: Dataset
Sprache:eng
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Beschreibung
Zusammenfassung:This dataset is a high-resolution (60 cm) grass biomass map derived from drone/UAS (unmanned aerial system)-based multispectral remote sensing, calibrated to in situ field data. It was developed for research on prescribed fire behavior responses to vegetation conditions, and vegetation community regrowth-responses post-fire. It addressed a key need for nondestructive grassland biomass measurements, in a use case where directly measuring grass biomass by destructive harvest would have disturbed the intact fuel beds needed for burning in the prescribed fire experiment.
DOI:10.25349/d93328