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Vegetation Structure in the Great Smoky Mountains

Map shows thirty unique vegetation canopy structure classes identified within the Great Smoky Mountain National Park

This overview map shows thirty unique vegetation canopy structure classes identified within the Great Smoky Mountain National Park in Tennessee and North Carolina, USA.

An updated dataset characterizes vegetation canopy structure in the Great Smoky Mountains National Park.

Forest fires in the ABoVE domain

The ABoVE study domain

The ABoVE study domain showing cumulative annual burned areas derived from AVHRR for 1989 - 2000.

A long-term record of annual forest fire burned area and daily hotspots are provided in a new ABoVE dataset.

Globally Consistent Hydrologic Soil Groups

Global distribution of hydrologic soil groups at 250-m spatial resolution.

Global distribution of hydrologic soil groups at 250-m spatial resolution. Hydrologic soil groups A, B, C, and D correspond to low, moderately low, moderately high, and high runoff potential, respectively. Wet soils are assigned a dual HSG (e.g., HSG A/D) and have high runoff potential due to the presence of a water table within 60 cm of the surface. A less restrictive group can be assigned if these soils are drained (e.g., HSG-A).

High-resolution and globally consistent hydrologic soil groups are provided in a new dataset.

Calculate Climate Anomalies from Daymet

Climate normal and anomaly calculated from Daymet

Climate anomaly (right panel) in minimum daily temperature for year 1990 compared to the long-term normal (left panel). The climate normal and anomaly were calculated for a single 2-degree tile from the Daymet dataset.

New Jupyter notebook tutorials show how to access and visualize Daymet climate data from within Python and how to calculate climate normals and anomalies.

Methane Emissions in Los Angeles

Locations for infrastructures associated with the energy industry with known or expected potential to emit CH4 in the South Coast Air Basin (SoCAB)

Locations for infrastructures associated with the energy industry with known or expected potential to emit CH4 in the South Coast Air Basin (SoCAB). Vista-LA includes a total of 33,614 features across 13 layers. From Carranza et al., 2017.

A new dataset from Vista-LA provides an inventory of potential methane emitting facilities in the greater Los Angeles urban area.

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