Land cover maps at 30 m resolution across Mawas, Central Kalimantan, Indonesia in 1994 (left) and 2004 (right).
Examples of spatial patterns of reconstructed SIF at 4 km resolution. Only pixels with a fraction of the specific vegetation type larger than 0.1 are shown. For Total SIF, only pixels with a fraction of corn, soybean, grass/pasture, and forest larger than 0.8 are displayed.
Pantropical aboveground biomass density change from 2003 to 2016. Data have been aggregated to 5 km resolution for illustration.
Riverine N2O emission estimates from headwater streams (a, c, and e) and high-order rivers (b, d, and f) for the 1900s, 1960s, and 2000s. The right panel shows the latitudinal distribution of riverine N2O emissions with the uncertainty range as the standard deviation (shaded areas).
Example of average daily gross primary production (GPP) per m2 at 250 m resolution shown for wetlands in the North and South Ten Thousand Islands in the Florida Everglades. Mapped values are an average of all 16-day periods from 2000-2019. Source: Feagin et al., 2020.
Land cover classification at 30 m resolution for the Colombian Amazon for the year 2016.
New maps of land cover classes for the Colombian Amazon were derived from changes in surface reflectance.
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.
A new dataset used a parametric modeling approach to estimate biomass from airborne LiDAR data and field measurements.
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.
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.
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.