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Improved LiDAR-derived Biomass for Sonoma County, CA

Submitted by ORNL DAAC Staff on 2020-07-06
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Estimated aboveground biomass (Mg/ha) for Sonoma County at 30 m spatial resolution with the 5th-95th percentile range and the standard deviation (SD) of per-pixel biomass estimates shown in the top left and bottom left, respectively.

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A new dataset used a parametric modeling approach to estimate biomass from airborne LiDAR data and field measurements.

Spatial Patterns in Methane Fluxes of Arctic Vegetation

Submitted by ORNL DAAC Staff on 2020-07-06
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The custom-built chamber for measuring in situ trace gas fluxes from soil/vegetation and water surfaces. The chamber (~ 0.5 m3) provides adequate height to enclose emergent grasses and reeds.

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A new dataset provides diffusive methane (CH4) fluxes of emergent and upland vegetation at two thermokarst lakes in Alaska.

NASA Data Helps Researcher Understand Coastal Mangrove Forests

Submitted by ORNL DAAC Staff on 2020-06-25
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Dr. David Lagomasino uses satellite, airborne, drone, and ground measurements to identify areas of coastal resilience and vulnerability.

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Dr. David Lagomasino uses NASA data to study how the Earth's landscape responds to changes caused by natural events and rapid urban expansion.

THREDDS NetCDF Subsetting Service Bug Fixed

Submitted by ORNL DAAC Staff on 2020-06-24
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Unidata's THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols.

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A bug has been fixed in the THREDDS Data Server (TDS) NetCDF Subsetting Service (NCSS) that may, in rare cases, have returned incorrect results.

Remote Sensing and Invasive Species

Submitted by ORNL DAAC Staff on 2020-05-26
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Searching for the term remote sensing and words related to invasive species (invasive, nonnative, exotic, or nonindigenous) in Google Scholar reveals an increasing number of publications each year using these terms.

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A new Earthdata article describes how researchers are using remote sensing to map invasive species.