Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS)
Year: 2025
Type: article
Abstract: To reduce its greenhouse gas (GHG) impact, the United States government plans GHG Measurement, Monitoring, and Information System (MMIS) activities to better quantify GHG sources and sinks in natural, forested, and agricultural ecosystems. The national strategy discusses several areas where a robust MMIS can be strengthened by near-surface remote sensing (RS) technology—i.e. non-contact measurement of electromagnetic signals by sensors mounted near the ground, on towers, or on drones. Here, we outline specific applications of near-surface RS for an MMIS, using tools presently available and offering guidance on improvements needed for an expansion of their applications. Near-surface RS can help quantify carbon stocks by assessing vegetation structure and function, and it can inform cross-scale understanding of ecosystem carbon processes and properties. The integration of near-surface RS tools into an MMIS will overcome some limitations and uncertainties of current carbon cycle accounting methods and carbon project implementation. Development of robust, standardized near-surface RS systems can be accomplished through transdisciplinary partnerships among government agencies, academics, land managers, and the private sector. The result will hasten achievement of MMIS objectives of improved bottom-up and top-down GHG estimation and improved accessibility and standardization of GHG data and measurements.
Source: Carbon Management
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,590
Funders: National Science Foundation, National Aeronautics and Space Administration, U.S. Department of Agriculture, California Institute of Technology, Jet Propulsion Laboratory, U.S. Forest Service, Science Mission Directorate, Australian Research Council, Office of Experimental Program to Stimulate Competitive Research, State of California
Awards: G1025182526, G2048821276, G2085943499, AccelNet-Implementation: FLUXNET Coordination to Understand Ecosystem Function through Continuous Observations of Ecosystem-Atmosphere Interactions, G2676722403, G2923451624, 1969 Institutional Grants For Science, Leaf to landscape: near-instant vegetation growth and productivity rates, G3110221530, G3648211085, RII Track-4:NSF: Amplification of drought effects on vegetation by anthropogenic warming, G4258820534, G5814434800, G6671297155, G6987558263, G8104139569, Graduate Research Fellowship Program (GRFP), G830101876, CAREER: Developing climate-smart irrigation strategies for rice agriculture in Arkansas
OpenAlex ID: W4407822846
