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NASA Data Helps Researcher Understand Coastal Mangrove Forests

Selfie of Dr. David Lagomasino in the field.

Dr. David Lagomasino uses satellite, airborne, drone, and ground measurements to identify areas of coastal resilience and vulnerability.

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

Unidata TDS

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.

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

NASA Earthdata Webinar: GEDI Level-1 and -2 Data

GEDI logo and demonstration of data.

The Find and Use GEDI, You Will—Getting Started with Global Ecosystems Dynamics Investigation (GEDI) Lidar Data webinar will be held on Wednesday, June 24, from 2 to 3 PM EST.

The Land Processes (LP) DAAC will get you started with GEDI data on Wednesday, June 24.

STV Workshop seeks community input

2017-2027 Decadal Survey Report Cover

Cover image of the 2017-2027 Decadal Survey, “Thriving on Our Changing Planet: A Decadal Strategy for Earth Observations from Space.”

The NASA Surface Topography and Vegetation (STV) Incubation Study will hold its first community workshop on July 9, 2020.


Remote Sensing and Invasive Species

Graph of research publications over time.

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.

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

Comparative Soil Organic Carbon for Mexico and USA

Map of soil organic carbon across the USA and Mexico.

Soil organic carbon (SOC) for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS) for the period 1991-2010.

Two sets of estimated soil organic carbon and uncertainties are available at a 250 m resolution.

LiDAR Derived Aboveground Biomass for Northwestern USA Forests

Map of sampling locations.

The locations of the 176 lidar collection areas (light green polygons) acquired between 2002 and 2016.

Aboveground biomass was derived from forest inventory data and lidar imagery.

Surveying the Ecological Effects of Fire on Alaska's Yukon-Kuskokwim Delta

Map of Cover according to Plant Functional Types

Vegetation point-intercept (VPI) any-hit cover metric data were combined with Landsat imagery to develop fractional maps of any-hit cover for four aggregated plant functional types (PFTs); shrubs bryophytes, lichen, and herbs for the upland tundra area of the Y-K Delta, Alaska. VPI data were collected from plots in areas burned in 1971, 1985, 2005, and 2015.

Ecological field data and maps of vegetation cover spanning gradients of fire history in upland tundra are available from the Arctic-Boreal Vulnerability Experiment (ABoVE).

ATom Compiles Flask Data from 2009 to 2018

Map and graph of airborne flask sample locations.

Horizontal (left) and vertical (right) distribution of airborne flask sample locations identified as being of stratospheric origin. Thin dashed black lines on the map illustrate the flight tracks of all 9 campaigns of the 3 airborne projects. Symbols indicate the campaigns during which the stratospheric samples were collected, and colors show the potential temperature at which the sample was taken.

A new dataset from the Atmospheric Tomography Mission compiles measurements of mean age of air.

Topsoil & Agricultural Economic Losses

Map of study area for dataset.

Study area in the Midwestern US with study site locations and extent of analysis. The study area was limited to the spatial extent of LiDAR topographic data (gray hillshade). Squares represent the 28 sites, a total of 210 km2, that were selected for having plowed, bare soil.

A soil organic carbon index and remote sensing data were used to estimate erosion in Midwestern USA.