ABoVE

Arctic biweekly NDVI (green bars) and trend (grey bars) for full tundra for 1999-2015. Biweekly trends statistically significant at the 95% level or greater are marked with an asterisk on the x-axis. From Figure 9 (c) Bhatt et al. (2017) (see dataset documentation).

Annual time series of days with rain-on-snow summed for each 6-km pixel in Alaska.

Orthomosaic imagery taken from a Beechcraft Super King Air B200 aircraft traveling north of the Mackenzie River in the Dehcho Region of Canada.

A herd of Dall sheep ewes and lambs in Wrangell-St. Elias National Park & Preserve, Alaska, a study location for the ABoVE field campaign. (Photo credit: Laura Prugh)

Long-term maximum NDVI for the ABoVE study area covering the years 2002-2017.

Scientists with the ABoVE campaign study the impacts of warming temperatures on northern lakes, like this one in Fairbanks, Alaska. (Image credit: NASA/Kate Ramsayer)

High-resolution elevation maps, based on LiDAR, were used to model the distribution of permafrost across the Y-K Delta of Alaska. The map insets show detail for areas of relative high elevation (left) and low elevation (right).

Anne Nolin collects data on snowpack properties as part of a NASA ABoVE study examining how changing snow conditions affect Dall sheep in Wrangell St-Elias National Park, 20 March 2017. (Photo courtesy of Laura Prugh)

Field measurements were collected in seven spatially independent burn scars, within the Yellowknife megafire complex, which had burned between June and August 2014.

The differenced Normalized Burned Ratio (dNBR) for a burn scar from fires in 2015 within ABoVE grid tile Bh05Bv03. A higher dNBR indicates a higher fire severity.