Fundamentals of Remote Sensing [Introductory]

Key Info
URL - the landing page for the learning resource: 
https://appliedsciences.nasa.gov/get-involved/training/english/arset-fundamental…
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
These webinars are available for viewing at any time. They provide basic information about the fundamentals of remote sensing and are often a prerequisite for other ARSET training.

OBJECTIVE
Participants will become familiar with satellite orbits, types, resolutions, sensors, and processing levels. In addition to a conceptual understanding of remote sensing, attendees will also be able to articulate their advantages and disadvantages. Participants will also have a basic understanding of NASA satellites, sensors, data, tools, portals, and applications to environmental monitoring and management.

SESSIONS
Session 1: Fundamentals of Remote Sensing
A general overview of remote sensing and its application to disasters, health & air quality, land, water resource, and wildfire management.
Session 1A: NASA's Earth Observing Fleet
Get familiar with Earth-observing satellites in NASA's fleet, sensors that collect data you can use in ARSET training, and potential applications. 
Session 2A: Satellites, Sensors, Data and Tools for Land Management and Wildfire Applications
Specific satellites, sensors, and resources for remote sensing in land management and wildfires. This includes land cover mapping and products, fire detection products, detecting land cover change, and NDVI and EVI. 
Session 2B: Satellites, Sensors, and Earth Systems Models for Water Resources Management
Water resources management, an overview of relevant satellites and sensors, an overview of relevant Earth system models, and data and tools for water resources management. 
Session 2C: Fundamentals of Aquatic Remote Sensing
Overview of relevant satellites and sensors, and data and tools for aquatic environmental management. 

Authoring Organization(s) Name: 
NASA Applied Remote Sensing Training Program (ARSET)
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 2.0 Generic - CC BY 2.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data collection
Environmental management
Land management
Landcover applications
Remote sensing
Satellite imagery
Sustainable Development Goals (SDGs)
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Education: Science and Mathematics Education
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Publisher - organization credited with publishing or broadcasting the learning resource: 
NASA Applied Remote Sensing Training Program (ARSET)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Person(s): 
Brock Blevins
Contact Organization(s): 
NASA Applied Remote Sensing Training Program (ARSET)
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data policymaker
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Research scientist
Technology expert group
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)