Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation

Beginning in 1972 with the launch of Landsat 1, estimation of terrestrial plant production has been one of the most important applications attempted of satellite remote sensing. Initial interest focused on the prediction of regional crop yields, such as wheat (Erickson, 1984). However, changing goals, hardware capabilities, and theory have produced a steady evolution in the approaches taken to calculate net primary production (NPP) of large areas. Interest has also expanded to calculating primary production of natural vegetation. The much wider array of topography, climate, canopy geometry, and life-cycle dynamics exhibited by natural vegetation make computation of primary production much more challenging than the rather controlled, organized field conditions of a crop

Surface Ocean CO2 Atlas (SOCAT) V6

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (>100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. 424 datasets Version 5: https://doi.pangaea.de/10.1594/PANGAEA.877863 Version 4: https://doi.pangaea.de/10.1594/PANGAEA.866856 Version 3: https://doi.pangaea.de/10.1594/PANGAEA.849770 Version 2: https://doi.org/10.1594/PANGAEA.81515