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Earth Observation Data Basics

The life cycle of Earth observation data is rich and complex, with many points of entry along the pipeline. From collection to visualization, we dive deep into the basics to demystify the incredible data in our catalog.
Quick Filters
image of world map on binary code
2 MIN READ

Data Processing Levels

NASA data products are processed in levels ranging from Level 0 to Level 4.
image of connecting points and numbers
6 MIN READ

Essential Variables

Essential variables are known to be critical for observing and monitoring a given facet of the Earth system
image of ocean color data with circle pattern overlay
3 MIN READ

Data Maturity Levels

Learn how NASA defines the levels of data maturity and how data are validated by stage.
illustration of satellite orbiting earth
14 MIN READ

Remote Sensing

Learn the basics about remotely-sensed data, from instrument characteristics to different types of resolution to data processing and analysis.
Color Image of Death Valley, California from SIR-C
11 MIN READ

Synthetic Aperture Radar (SAR)

SAR is one of the power technologies of remote sensing, and enables high resolution imagery to be created night or day, regardless of weather conditions.
image of satellite false color fire data
5 MIN READ

Data Latency

Several factors affect the speed at which data are processed and made available to users. Here's how NASA defines data latency.
image of river and agricultural field in Oregon
8 MIN READ

Sustainable Development Goals

NASA Earth science data are a key component in meeting the 17 Sustainable Development Goals (SDGs) to build a better world for people and our planet.
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