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Questions and Answers
What type of data is used in the Applied Remote Sensing Training Program for the area of Angus, Scotland?
What type of data is used in the Applied Remote Sensing Training Program for the area of Angus, Scotland?
On what date was the Pauli RGB data for Angus, Scotland captured?
On what date was the Pauli RGB data for Angus, Scotland captured?
Who is the trainer for the Applied Remote Sensing Training Program?
Who is the trainer for the Applied Remote Sensing Training Program?
Which online platform is mentioned for posting Q&A after the webinar?
Which online platform is mentioned for posting Q&A after the webinar?
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What is the primary focus of the indicated practical session in the training program?
What is the primary focus of the indicated practical session in the training program?
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What is the primary goal of NASA's Applied Remote Sensing Training Program (ARSET)?
What is the primary goal of NASA's Applied Remote Sensing Training Program (ARSET)?
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Which of the following topics is NOT included in the ARSET trainings?
Which of the following topics is NOT included in the ARSET trainings?
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How are ARSET's training materials made available to participants?
How are ARSET's training materials made available to participants?
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How is the format of ARSET training structured?
How is the format of ARSET training structured?
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Which group of professionals is NOT specifically mentioned as a target audience for ARSET training?
Which group of professionals is NOT specifically mentioned as a target audience for ARSET training?
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In which languages is the ARSET content presented?
In which languages is the ARSET content presented?
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What type of training session format does ARSET utilize?
What type of training session format does ARSET utilize?
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What is required from participants if they use ARSET methods and data?
What is required from participants if they use ARSET methods and data?
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Which version of Python should be used to run the provided code?
Which version of Python should be used to run the provided code?
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What is the main advantage of using Anaconda for Python installation?
What is the main advantage of using Anaconda for Python installation?
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What is the function of Jupyter Notebook?
What is the function of Jupyter Notebook?
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Which of the following crops are mentioned in the content?
Which of the following crops are mentioned in the content?
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What purpose does Spyder serve in the Anaconda installation?
What purpose does Spyder serve in the Anaconda installation?
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What action can be performed in Jupyter Notebook after it opens?
What action can be performed in Jupyter Notebook after it opens?
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What type of training program is mentioned in the content?
What type of training program is mentioned in the content?
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What is the recommended first step before engaging with training materials?
What is the recommended first step before engaging with training materials?
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What is the due date for the homework assignment?
What is the due date for the homework assignment?
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Which of the following is a prerequisite for the training program?
Which of the following is a prerequisite for the training program?
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Which classification techniques will be learned during the training?
Which classification techniques will be learned during the training?
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What will attendees be able to explain after participating in the training?
What will attendees be able to explain after participating in the training?
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Approximately when will participants receive their certificate of completion?
Approximately when will participants receive their certificate of completion?
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Which date marks the session focused on monitoring crop growth?
Which date marks the session focused on monitoring crop growth?
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What programming language will be used for machine learning activities in the practical?
What programming language will be used for machine learning activities in the practical?
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Which of the following is part of the training objectives?
Which of the following is part of the training objectives?
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What is a necessary step before starting the practical?
What is a necessary step before starting the practical?
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Which of the following sessions takes place on April 6, 2023?
Which of the following sessions takes place on April 6, 2023?
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Study Notes
Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing
- The training program is part of NASA's Applied Sciences Capacity Building Program
- It aims to empower the global community through online and in-person remote sensing training
- Topics include water resources, air quality, disasters, and land, climate & energy
- The program's goal is to increase the use of Earth science remote sensing and model data in decision-making for professionals in the public and private sector, environmental managers, and policymakers
- All materials are freely available for use and adaptation
- Training materials and recordings are available from the specified URL
- Three 2.5-hour sessions are included, with presentations, demonstrations, and question-and-answer sessions
- The same content will be presented at two different times each day
- Session A will be presented in English, between 10:00-12:30 EST (UTC-4); Session B is in Spanish, between 13:00-15:30 EST (UTC-4)
- Homework assignments are submitted via Google Forms and due April 25, 2023
- A certificate of completion is awarded to those who attend all live webinars and complete the homework assignment on time. Certificates will be sent out approximately two months after the end of the course.
Training Outline
- April 4, 2023: Crop Classification with Time Series of Polarimetric SAR Data
- April 6, 2023: Crop Classification with Time Series Optical and Radar Data
- April 11, 2023: Monitoring Crop Growth Through SAR-Derived Crop Structural Parameters
Training Objectives
- Explain how polarimetric parameters are used for crop condition assessment
- Demonstrate how to perform Sentinel-1 SAR preprocessing to derive quasi polarimetric parameters
- Perform a calibration of a SAR-based vegetation index to NDVI
- Monitor crop growth with multitemporal polarimetric SAR (PolSAR) data from Sentinel-1
- Examine crop growth using a canopy structure dynamic model and time series of Sentinel-1 imagery
- Classify crop type using a time series of radar and optical imagery (Sentinel-1 & Sentinel-2)
Prerequisites
- Fundamentals of Remote Sensing
- Agricultural Crop Classification with Synthetic Aperture Radar and Optical Remote Sensing
- Mapping Crops and their Biophysical Characteristics with Polarimetric SAR and Optical Remote Sensing
- Python programming skills are necessary
Python
- Python is a programming language for efficient and integrated system operations
- The training uses Python 3.x
- The suggested Python environment is Anaconda
- A tutorial for Python 3.x is referenced
Jupyter Notebook
- Anaconda will install Jupyter Notebook, with the icon appearing in the Start Menu (Windows)
- Jupyter Notebook is a web-based application
- Scripts can be uploaded via the "Upload" button
Spyder
- Anaconda installs the Spyder Python editor
- Spyder is a useful tool when scripting operational/automatic processing stacks
Data: Sentinel-1 ESA; Location: Angus, Scotland
- The data is from Sentinel-1, ESA and covers the Angus region of Scotland
- This small area of Scotland is the focus of the practical session
- Crops in the region include cereals, potatoes, and rapeseed oil are predominantly observed
- Images will be shown in "Pauli RGB" format
Contacts/Training Information
- Training contact information including the name, email address, and training webpage link are listed
- An ARSET (Applied Remote Sensing Training Program) website address for further information is given
- Twitter account for the program is provided
- A list of sister programs is shown
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Description
Join NASA's training program focused on Crop Mapping utilizing Synthetic Aperture Radar (SAR) and Optical Remote Sensing. The sessions aim to enhance decision-making among professionals in environmental management through practical demonstrations and discussions in both English and Spanish. All materials are freely available for adaptation and use.