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Sciences and Exploration Directorate
Operational

Landsat 8

Launched on February 11, 2013, Landsat 8 (formerly the Landsat Data Continuity Mission, LDCM) is collecting valuable data and imagery used in agriculture, education, business, science, and government.

The Landsat Program provides repetitive acquisition of high resolution multispectral data of the Earth’s surface on a global basis. The data from Landsat spacecraft constitute the longest record of the Earth’s continental surfaces as seen from space. It is a record unmatched in quality, detail, coverage, and value.

Launch Date

January 2013

Class

Flight Project

Websites


Key Staffs

Launched on February 11, 2013, Landsat 8 (formerly the Landsat Data Continuity Mission, LDCM) is collecting valuable data and imagery used in agriculture, education, business, science, and government.

The Landsat Program provides repetitive acquisition of high resolution multispectral data of the Earth’s surface on a global basis. The data from Landsat spacecraft constitute the longest record of the Earth’s continental surfaces as seen from space. It is a record unmatched in quality, detail, coverage, and value.

Related Publications

2025. "Penguin diet from space: Links between sea ice, Antarctic food webs, and population change.", EcoEvoRxiv, [10.32942/x2ks97] [Journal Article/Letter]

2026. "Global uncertainty assessment of vegetation indices from NASA's Harmonized Landsat and Sentinel-2 Project.", Remote Sensing of Environment, 332 115084 [10.1016/j.rse.2025.115084] [Journal Article/Letter]

2025. "TIF: A time-series-based image fusion algorithm.", Remote Sensing of Environment, 331 115035 [10.1016/j.rse.2025.115035] [Journal Article/Letter]

2025. "Fine-scale vegetation composition and structure shape spatiotemporal variation in surface albedo across a low Arctic tundra landscape.", Environmental Research: Ecology, [10.1088/2752-664x/ae04ef] [Journal Article/Letter]

2025. "Global 30-m annual median vegetation height maps (2000–2022) based on ICESat-2 data and Machine Learning.", Scientific Data, 12 (1): 1470 [10.1038/s41597-025-05739-6] [Journal Article/Letter]