Introduction to the Web-enabled Landsat Data (WELD) products using open source software
This training was orginally developed and delivered as a 4 hour workshop at the American Geophysical Union Fall 2012 Meeting, San Francisco by Giuseppe Amatulli and David Roy. The training materials, data, and Open Source Software are stored in a Linux Virtual Machine and are all available at the bottom of this page.

COURSE DESCRIPTION
This practical training workshop will demonstrate the manipulation of WELD products for spatial modeling and analysis in a Linux environment using free open source tools. Attention will focus on command-line rather the graphical user interface techniques. Participants will bring their own laptops and a Linux-like Virtual Machine will be installed with remote sensing and GIS open source software, sample WELD products, scripts, and example exercises.
After this workshop, participants will have an appreciation of the potential use of open source software for WELD and other satellite product environmental monitoring and assessment applications and will be able to progress independently.
The workshop will start with brief introductory presentations concerning the WELD products and the workshop purpose. Initial training will be dedicated to the main commands of the BASH Linux scripting language and how to use GDAL/OGR [1] for image analysis and data pre-processing. This will be followed by hands-on practical sessions where participants will use command lines to undertake example exercises. Scripting routines that use pktools [2] for image mosaicking, Open Foris Geospatial Toolkit [3] for image segmentation, R [4] for segment classification, and Openev [5] for image visualization will be included. New WELD product versions will be available and participant feedback and suggestions to evolve the WELD processing algorithms, product contents and format will be sought.
PARTICIPANT LAPTOP COMPUTER REQUIREMENTS
Participants must bring their own laptops and a Linux-like Virtual Machine [6] will be installed on it from a USB flash drive. The Virtual Machine will include remote sensing and GIS open source software, sample WELD products, scripts, and example exercises that illustrate a variety of WELD environmental monitoring and assessment applications. The Virtual Machine can be installed on any Windows, Mac or Linux Operating System computer with at least 2GB of RAM and 20GB of disk space. Participants are encouraged to install the Virtual Machine on other computers to facilitate continuation of their self-learning after the workshop.
[1] http://www.gdal.org/
[2] http://www.spatial-ecology.net/dokuwiki/doku.php?id=wiki:pk_tools
[3] http://km.fao.org/OFwiki/index.php/Open_Foris_Geospatial_Toolkit
[4] http://www.r-project.org/
[5] http://openev.sourceforge.net/
[6] https://www.virtualbox.org/wiki/Downloads
SCHEDULE
Presentations (powerpoint and live demonstrations)
6:00pm - 6:10pm Workshop overview and distribution of USB drives (Roy and Amatulli)
6:10pm - 6:30pm WELD project, products and product access, future plans (Roy) [In parallel participants copy the contents of USB drives to their laptops]
6.30pm - 7.00 pm Installation of the Linux Virtual Machine, functionality walk through, introduction to the Linux command line (Amatulli)
7.00pm - 7.30 pm Introduction to open source tools: GDAL/OGR, OFT, PKTOOLS (Amatulli)
7.30pm - 7.45 pm Break
Hands-on Exercises
7.45pm - 8.15pm Visualization of WELD data using Openev (Amatulli)
8.15pm - 8.30pm Manipulation and visualization of WELD single pixel time series (Amatulli)
8.30pm - 9.30pm Change Detection, Classification, Segmentation - WELD burned area mapping (Amatulli)
9.30pm - 9.45pm Comparison of top of atmosphere (Version 1.5) and surface (Version 2.0) WELD reflectance and NDVI products (Amatulli)
9.45pm - 10.00pmOpen Discussion concerning user needs for future WELD products (Roy)
TRAINING MATERIAL
The training materials, data, and Open Source Software are stored in a Linux Virtual Machine.
To get this to work please:
1) Install a Linux Virtual Machine using the virtualization software VirtualBox, please visit https://www.virtualbox.org/ (PC) or http://www.macupdate.com/app/mac/24801/virtualbox (Mac) and download and install the appropriate version for your computer operating system.
2) Download xubuntu2WELD.vdi (8GB) and save it to a location on your hard drive (e.g., to C:\LVM\ ).
3) Download Installing_LVM_usingVirtualBox.pdf file (464 KB) anywhere on your computer and follow the PDF instructions to get the Linux Virtual Machine with the training material running on your computer.
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This web site is hosted at the Geographic Information Science Center of Excellence (GIScCE), South Dakota State University.
The contents of this web site were written by the GIScCE WELD staff. This site was last updated December 17th 2012.