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.
(A) Digital map of soil organic carbon (kg/m2) at 1 m depth and 90 m spatial resolution. The black and blue colored areas are urban areas and water bodies. (B) An area in northern Mexico illustrating the level of detail achieved by mapping across 90 m grids.
Estimates of soil organic carbon are now available from Mexico at a 90 meter resolution.
Spatial distribution of mean dissolved inorganic carbon (DIC) leaching (g c/m2/yr) in the 2090s estimated by S(ALL) simulation experiment (including future climate, elevated CO2, and land use changes). Climate change scenarios were derived from three climate models named CCSM3 (panels a and b), ECHAM (c and d), and CCCMA (e and f) under high (A2) and low (B1) emission scenarios, respectively.
New data from the Carbon Monitoring System (CMS) offers insights into how environmental factors affect the dynamics of leaching.
Bounding boxes for LiDAR tiles from surveys over western Para, Brazil, are depicted in Google Earth from the KMZ companion file. Each feature in the KMZ provides key metadata about the corresponding tile.
LiDAR surveys over forest research sites across the Amazon rainforest in Brazil are available.