Submitted by ORNL DAAC Staff on 2020-01-13
A global map of predicted annual soil respiration (Rs) at 1 km spatial resolution created by applying the QRF model to gridded covariates. Right is a plot of the latitudinal mean predicted annual Rs.
A machine learning approach was used to derive the predicted annual soil respiration and uncertainty at a 1 km spatial resolution.
Submitted by ORNL DAAC Staff on 2019-11-05
Upward-facing photo of the canopy at Harvard Forest (transect 2, plot 57) on 2012-10-18.
Ground-based data collected at the Harvard Forest site was used to validate Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) soil moisture estimates.
Submitted by ORNL DAAC Staff on 2019-11-08
Estuaries classes used in the study: former river valley primary estuary, former glacier valley primary estuary, river delta primary estuary, tectonic structural primary estuary, coastal lagoon secondary estuary, and unclassified estuary.
Soil organic carbon (SOC) estimates and environmental data for US estuaries are available for the period 1972-2015.
Submitted by ORNL DAAC Staff on 2019-06-25
USArray measurement sites in Alaska. Sites are labeled with site ID and maximum measurement depth and color-coded by mean annual ground temperature (MAGT in degrees C) of the deepest sensor measurements. Data are omitted for sites disrupted by bears.
Soil temperature data were collected at Alaskan USArray seismic monitoring sites from 2016-2018.
Submitted by ORNL DAAC Staff on 2019-04-29
Active layer thickness with uncertainty for a flight swath over the northern section of Alaska's Dalton Highway in summer 2015.
NASA's ABoVE airborne campaign provides estimates of active layer thickness and soil properties derived from the AirMOSS instrument.
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