Quantifying Landsat’s contributions to U.S. agricultural and forestry applications

Remote Sensing
By: , and 

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Abstract

The Landsat program has provided over 54 years of multispectral imagery, contributing vital information for agricultural and forestry scientific research and operational activities. Freely available Landsat data have enabled scientists to analyze land use patterns, assess ecological impacts, and develop strategies for sustainable management. We explored Landsat’s pivotal role through the lens of the United States Group on Earth Observations 2023 Earth Observation Assessment (EOA). The EOA included comprehensive surveys of more than 2000 federally supported Earth observation data products. We subsequently analyzed how Landsat satellite data and derived products support agricultural and forestry-related priorities compared to other Earth observation inputs. We evaluated both direct and indirect applications of the data, identifying key users across federal agencies and assessing how Landsat data contribute to critical products, services, and objectives. The results indicate that Landsat provides key information to support diverse activities across agriculture and forestry sectors, such as enhancing food supply, improving resilience to disaster and disturbance events, maximizing ecosystem productivity and conservation, and supporting regulatory requirements and decision-making. The Landsat OLI and TIRS sensors ranked 4th and 10th, respectively, out of 1171 Earth observation inputs identified in the study, underscoring their value to agriculture and forestry.

Suggested Citation

Wengert, E., Rowe, J., Ramaseri Chandra, S.N., Vanderhoof, M.K., Garthwaite, I., Wu, Z., Snyder, G., Casey, K., Straub, C.L., Opstal, D.W., and Hinkley, E., 2026, Quantifying Landsat’s contributions to U.S. agricultural and forestry applications: Remote Sensing, v. 18, no. 12, 2003, 25 p., https://doi.org/10.3390/rs18122003.

Publication type Article
Publication Subtype Journal Article
Title Quantifying Landsat’s contributions to U.S. agricultural and forestry applications
Series title Remote Sensing
DOI 10.3390/rs18122003
Volume 18
Issue 12
Publication Date June 16, 2026
Year Published 2026
Language English
Publisher MDPI
Contributing office(s) Geosciences and Environmental Change Science Center, National Land Imaging
Description 2003, 25 p.
Additional publication details