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Training Example

Dates: February 10, 17, 24, and March 2
Times: 12:00 p.m. - 1:00 p.m. EST (UTC -05:00)
Registration Closes: February 8, 2016

In this advanced webinar, participants will learn how to acquire, use, and derive NDVI imagery from Landsat and MODIS. Weekly webinars will include lectures, hands-on demonstrations of exercises, and written instructions on how to conduct the exercises. The exercises will use QGIS, a cross-platform open source GIS application. Each session will guide participants through the exercises, however to achieve the course learning objectives, participants should expect to spend additional time outside the webinars. There will be homework to complete after each exercise, which is required to be eligible for a completion certificate.

Learning Objectives

Attendees will learn how to create NDVI imagery, time series, and anomaly maps using NASA data, including:

  • a basic understanding of NDVI
  • acquiring Landsat and MODIS imagery
  • creating NDVI images from Landsat
  • using MODIS NDVI images to derive time series and NDVI anomaly maps
     

Course Format

  • Four week course
  • Once a day
  • Advanced webinar
  • A certificate of completion will be provided to participants that attend all four live webinars, as well as complete all four homework assignments. 
     

Prerequisites

  • ""Fundamentals of Remote Sensing" webinars, Sessions 1 & 2, or equivalent experience
  • Download and install QGIS and all accompanying software. This webinar will use QGIS software and although previous experience with this software is not required, some experience with geospatial software would be helpful. Please open QGIS and ensure the software is working properly before the start of the webinar.
  • This course is appropriate for local, regional, state, federal, and international organizations interested in assessing vegetation condition using satellite imagery. Professional organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.
     

Intended Audience

Local, regional, state, federal, and international organizations interested in assessing vegetation condition using satellite imagery. Professional organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.

 

Registration Information

This webinar is free but you must register using the link shown below. Space is limited and preference will be given to agencies engaged in environmental monitoring, management, and decision making around the world. You will be notified by email if your registration has been approved before/by February 8, 2016.

Register Now »
 

Course Agenda

Detailed Course Outline

Session One: NDVI and QGIS
February 10, 2016

An overview of NDVI and an introduction to QGIS. View a recording »

Session Two: Deriving NDVI from Landsat
February 17, 2016

How to acquire Landsat images, and how to derive NDVI from Landsat using QGIS. View a recording »

  • Presentation Slides: English and Spanish
  • Homework Assignment
     

Session Three: MODIS NDVI Time Series
February 24, 2016

An overview of MODIS NDVI, including a live demo of MODIS NDVI time series database from the Global Agriculture Monitoring (GLAM) project. Attendees will learn how to acquire a MODIS NDVI image and create a time series. View a recording »

  • Presentation Slides: English and Spanish
  • Homework Assignment
     

Session Four: MODIS NDVI Anomalies
March 2, 2016

An overview of MODIS NDVI anomaly mapping, a live demo of the GIMMS MODIS Global Agricultural Monitoring System, and creating a MODIS NDVI anomaly map. View a recording »

  • Presentation Slides: English and Spanish
  • Homework Assignment