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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.

Remote Sensing

Remote sensing is the acquiring of information from a distance. NASA observes Earth and other planetary bodies via remote instruments on space-based platforms (e.g., satellites or spacecraft) and on aircraft that detect and record reflected or emitted energy. Remote instruments, which provide a global perspective and a wealth of data about Earth systems, enable data-informed decision making based on the current and future state of our planet.

For more information, check out the Fundamentals of Remote Sensing training from the Applied Remote Sensing Training (ARSET) program.

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Remote Sensing Data Basics

An orbit is the curved path a satellite follows around the Earth due to gravitational force.
There are four types of resolution to consider for any dataset—radiometric, spatial, spectral, and temporal. Resolution plays a role in how data from a instrument can be used. Resolution can vary depending on the platform's orbit and instrument design.
Active instruments emit energy and collect data based on changes in the return signal.
Essential variables are known to be critical for observing and monitoring a given facet of the Earth system

Understanding Metadata

This interactive tool helps users navigate and understand essential metadata on our Earth science dataset landing pages. Through guided examples and hands-on exploration, learn critical context about our data to aid you in your own scientific discoveries.
Interactive

Parts of the Earthdata Dataset Landing Page

Explore
long name on dataset page
short name on dataset page
version on dataset page
DOI on dataset page
center/project on dataset page
cloud icon on dataset page
This is a screenshot of a dataset landing page showing the location of the alert icon.
copy URL/API on dataset page
data format on dataset page
dataset size on dataset page
spatial extent on dataset page
spatial resolution on dataset page
temporal extent on dataset page
user guide on dataset page
publications on dataset page
variables on dataset page
platforms on dataset page
instruments on dataset page
coordinate system on dataset page
granule spatial representation on dataset page
temporal resolution in dataset page
concept ID on dataset page
data state on dataset page
Number of files or granules
data processing level on dataset ppage
science keywords on dataset page
citation on dataset page
file naming convention on dataset page

Technology

Innovations in artificial intelligence, climate models, and cloud computing are improving the ways users work with Earth science data, especially massive datasets like those expected from NISAR. NASA leverages modern computing approaches to optimize the quality of data collected and the speed at which users are able to drill down to the details they need to support on-the-ground science.

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Cloud Computing

Nearly all of NASA’s Earth science data is accessible through Earthdata Cloud, making access, analysis, and visualization more efficient and cost effective. We offer resources including Python libraries, tutorials, and data recipes to help users optimize working with data in the cloud.

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Earth Observation Data and Artificial Intelligence

The application of artificial intelligence (AI) to Earth science data makes it possible to search through large amounts of data to find relationships.

Synthetic Aperture Radar

Synthetic aperture radar (SAR) is a type of remote sensing that produces fine-resolution data using a technology that, over time, can detect even minute changes on Earth’s surface.

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.
The SAR Handbook was created in 2019 as a guide for forest monitoring and biomass estimation with synthetic aperture radar (SAR).
View a table of synthetic aperture radar (SAR) products and their processing levels available through NASA's Earth Science Data Systems (ESDS) Program.
General rules of thumb for interpreting synthetic aperture radar (SAR) imagery and resources for viewing SAR imagery.

Glossary of Terms

Reference the Earth Observation Data Basics Glossary to better understand terms related to the data provided by our program.

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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Standing Review Board (SRB)

The SRB is responsible for conducting independent reviews (life cycle and special) of a program/project and providing objective, expert judgments to the convening authorities. The reviews are conducted in accordance with approved Terms of Reference (ToR) and life-cycle requirements per this document and NPR 7123.1.

Stewardship

The responsibility for planning, management and certification of digital EO data sets throughout the mission phases and to ensure adequate funding. It includes curation and preservation activities. 

Data stewardship covers governance, planning, implementation and management of the sourcing, use and maintenance of space data assets. Data stewardship enables the governance of all the types and forms of space data package and the related repositories or archives.

Stratosphere

The zone of the atmosphere above the troposphere that is characterized at first by isothermal conditions and then a gradual temperature increase.

Structured Vocabulary

An organized set of terms, headings or codes representing concepts and their inter-relationships, which can be used to support information retrieval.

Definition from ISO 25964-1:2011

Subsetting

The extraction of a multi-dimensional rectangular array of pixels from a single data granule, where consecutive pixels are extracted from each array dimension. For each dimension, the size of the pixel array is characterized by the starting pixel location and the number of pixels to extract.

Swath

A swath is defined as the area covered by the spatial samples collected during a scan of a spaceborne instrument defined by an incidence angle.

System Acceptance Review (SAR)

SARs evaluate whether a specific end item is sufficiently mature to be shipped from the supplier to its designated operational facility or launch site.

System Definition Review (SDR)

SDRs evaluate the credibility and responsiveness of the proposed program requirements/architecture to the Mission Directorate requirements and constraints, including available resources, and allocation of requirements to projects. SDRs also determine whether the maturity of the program's mission/system definition and associated plans are sufficient to begin preliminary design.

System Integration Review (SIR)

SIRs evaluate the readiness of the program, including its projects and supporting infrastructure, to begin system algorithm integration and test (AI&T) with acceptable risk and within cost and schedule constraints.

System Requirements Review (SRR)

SRRs evaluate whether the functional and performance requirements defined for the system are responsive to the Mission Directorate requirements on the program and its projects and represent achievable capabilities.

Temporal Extent or Temporal Coverage

The period during which data was collected, observations were made, or for which a model was run.

Troposphere

The lowermost layer of the atmosphere marked by considerable turbulence and generally a decrease in temperature with increasing height.

Uncertainty

Non-negative parameter characterizing the dispersion of the quantity values that are being attributed to a measure based on the information used. 

Where possible, this should be derived from an experimental evaluation but can also be an estimate based on other information, e.g. experience.

Unified Metadata Model (UMM) Profile

One of seven UMM metadata profiles: Collection (UMM-C), Granule (UMM-G), Service (UMM-S), Variable (UMM-Var), Visualization (UMM-Vis), Tools (UMM-T), and Common (UMM-Common).

User

External person, institution or system that consumes user services provided by the payload data ground segment via data access or a science and service exploitation platform.

User Support

User support is a function inside the payload data ground segment to support external users to interact with the segment, to handle user registration, inquiries, complaints. This function is usually provided by a help desk.

Validation

The process of assessing, by independent means, the quality of the data products derived from the system outputs.

Validation Stage

See: Data Maturity Levels

Variable

See: Parameter

Version/Release Number (also Collection)

Collection means the same thing as version; however, the MODIS science team uses the term Collection such as in MODIS Collection 5, but NSIDC uses Version as in MODIS Version 5. Also, Geoscience Laser Altimeter System (GLAS) refers to a release such as Release 33, which is also the same as version or collection. Thus, all three terms mean the same thing depending on which product you are using.

Visualization

Visualization—sometimes called scientific visualization—provides a window into reams of observational and simulation data by creating graphical representations that communicate to researchers and public alike. Just as a picture is worth a thousand words, visualizations are worth billions of bytes, both elucidating and simplifying big data.

Definition from NCCS

Web Object Storage

Object storage accessible through https.

Working Agreement (W/A)

A working agreement (W/A) outlines the working commitments made between the ESDIS Project and another organization for developing, implementing and/or operating portions of the data system.

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