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Continuing Education

ESRI Academy: Migrating to ArcGIS Pro from ArcMap  - November 2022

ESRI - Seminar

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​Objectives:

In this seminar, the presenters introduce key ArcGIS Pro terminology and components, demonstrate how to migrate maps and other items to ArcGIS Pro, and share additional resources that will help ArcMap users smoothly transition GIS workflows to ArcGIS Pro.

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ESRI Academy: Getting Started with ArcGIS Pro  - November 2022

ESRI - Web Course

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​Objectives:

In this web - course, you will learn the basics of working with ArcGIS Pro, including some workflows and best practices.

 

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Spatial Data Science: The New Frontier in Analytics  - November 2022

ESRI - MOOC

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​Objectives:

Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses.

 

 

Earth Imagery at Work - December 2018

ESRI - MOOC

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​Objectives:

- Earth Imagery at Work is a free, instructor-led massive open online course  (MOOC) offered by     Esri. The course lasts six weeks and requires a minimum of two to three hours of study per week. Weekly course sections consist of a video interview by the course host, hands-on case study exercises, a quiz, a class poll and discussion, and supplementary resources. Students will receive free access to Esri’s cloud-based ArcGIS Online platform and ArcGIS Pro desktop software during the course. A certificate of completion will be awarded at the end of the course.

Change Detection for Land Cover Mapping - October 2018

Applied Remote Sensing Training (ARST) (NASA)

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Objectives:

- Become familiar with Landsat bands and color combinations

- Understand how to visualize change in land cover using Landsat data

- Conducting image subtraction between two dates using QGIS

- Creating multi-date Landsat layer stacks

- Conducting multi-date land cover classification using the Random Forest classification in R

- Identifying and analyzing changes in land cover

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Monitoring Urban Floods Using Remote Sensing - August 2018

Applied Remote Sensing Training (ARST) (NASA)

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Objectives:

- Describe remote sensing and Earth system model data useful for flood monitoring in urban areas

- Identify how remote sensing can aid in planning flood response, and flood recovery efforts

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Techniques for Wildfire Detection & Monitoring - July 2018

Applied Remote Sensing Training (ARST) (NASA)

 

Objectives:

 

- Identify active fires, visualize fire emissions, and calculate burn severity

- Use the QGIS FMT to enter fire information and order imagery

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ARSET Fire.png
ARSET Flood.png
ARSET Change.png

Fundamentals of Remote Sensing - July 2018

Applied Remote Sensing Training (ARST) (NASA)

 

Objectives:

 

- Satellites and Sensors

- Satellite Data Processing Levels

                   

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