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Crop Agriculture

Free Courses - Use Landsat 8 and Sentinel-2 Imagery in Free QGIS

NO EXPERIENCE NECESSARY. The courses guide you step-by-step through the process of downloading and installing free QGIS software, as well as free satellite imagery, then progress to converting the imagery to surface reflectance (future classes will focus on analyzing imagery). QGIS is used because it is free, capable, and user-friendly. If you have other GIS software, such as ArcGIS, you can follow along with the concepts; however, the Landsat 8 Surface Reflectance Tutorial and Sentinel-2 Surface Reflectance Tutorial are designed for ArcGIS.

This is just the beginning of the courses - they are to be added on an ongoing basis in proper order. The goal of the courses is to make users proficient (at no cost and on their own schedule) applying free GIS software and data (including imagery, elevation data & more). The About Courses page has more background information. A link will be added when a new course is available. (This page was launched on April 11, 2017.)

1) Downloading and Installing Free GIS Software & Downloading Imagery

A) Downloading and Installing Free QGIS software

B) Downloading Free Landsat 8 & Sentinel-2 Imagery from this Website and Opening in QGIS

C) Downloading Free High-Resolution Imagery from The National Map (USA) for a Base Layer in GIS (You can add base map imagery in QGIS through the "Open Layers" plugin if you have a sufficient internet speed, bypassing the need to download imagery).

D) Downloading Landsat 8 and Sentinel-2 from GloVIS Next and Opening in QGIS (nearly world coverage)

 

2) Processing Imagery in QGIS / Atmospheric Correction (converting to surface reflectance)

A) Converting Landsat 8 Imagery to Surface Reflectance in QGIS; necessary to calculate indices, such as NDVI, MSAVI2, and NDWI (Landsat 8 SR Tutorial is customized for ArcGIS users).

B) Converting Sentinel-2 Imagery to Surface Reflectance in QGIS; necessary to calculate indices, such as NDVI, MSAVI2, and NDWI (Sentinel-2 SR Tutorial is customized for ArcGIS users).

C) Calculating Vegetation Spectral Indices: WDRI, NDVI, MSAVI2 (both for plant biomass and vigor), NDWI (for plant water content), and others.

D) Extracting Imagery or Elevation Data to the Extent of a Field (or other area of interest); important to delete data from computer that you do not need (to save space on drive).

 

3) Crop Condition Analysis and Yield Prediction with Free Software and Imagery. Details to be Listed.

    General Steps to Use Imagery in GIS for Crops and Other Vegetation Purposes.

4) Downloading and Using LiDAR-Based Elevation Rasters.

5) Making spatial data. Details to be listed.