Save the date: 11 May, ITU Workshop: Satellite Data Analysis and Machine Learning Classification with QGIS
A training proposed in collaboration with the UN Open GIS Initiative, that introduces how classification of satellite imagery can be done with QGIS by showing how to retrieve, process and classify satellite imagery, as well as how to assess performance of machine learning algorithms through error matrix and accuracy indexes.
The workshop involves two QGIS plugins: Semi-automatic Classification Plugin (SCP) and dzetsaka. SCP is used for majority of preprocessing operations such as retrieval of the Sentinel 2 imagery for an area of interest, DOS (Dark object subtraction) atmospheric correction, selection of specific bands for classification, creation of composite and computation of band algebra (i.e., Normalized Difference Vegetation Index (NDVI). The dzetsaka plugin is used to detect and classify built-up areas starting from preprocessed satellite imagery with Gaussian Mixture Model, Random Forest and K-Nearest Neighbors machine learning algorithms.
Please see the two one-pager guidelines for the software requirements and the datasets for the exercises and download relevant software and datasets before the workshop.
Information and Requirements for Workshop
Instructions for Attendees (Updated 26 April 2021)
Useful links
The workshop involves two QGIS plugins: Semi-automatic Classification Plugin (SCP) and dzetsaka. SCP is used for majority of preprocessing operations such as retrieval of the Sentinel 2 imagery for an area of interest, DOS (Dark object subtraction) atmospheric correction, selection of specific bands for classification, creation of composite and computation of band algebra (i.e., Normalized Difference Vegetation Index (NDVI). The dzetsaka plugin is used to detect and classify built-up areas starting from preprocessed satellite imagery with Gaussian Mixture Model, Random Forest and K-Nearest Neighbors machine learning algorithms.
The workshop is made of two parts:
Part 1: 27 April 2021, 14:00 – 16:00 CEST
Demo session on how to install the required software for the workshop on Windows OS. The demo session will take place on the same Zoom link as the workshop. The actual workshop on Tuesday starts as planned at 14:00 CEST. But please try to install the software beforehand.
Download the slides
Demo session on how to install the required software for the workshop on Windows OS. The demo session will take place on the same Zoom link as the workshop. The actual workshop on Tuesday starts as planned at 14:00 CEST. But please try to install the software beforehand.
Download the slides
Part 2: 11 May 2021, 14:00 – 16:00 CEST
Please see the two one-pager guidelines for the software requirements and the datasets for the exercises and download relevant software and datasets before the workshop.
Information and Requirements for Workshop
Instructions for Attendees (Updated 26 April 2021)
AI For Good, https://aiforgood.itu.int/
We have less than 10 years to solve the United Nations’ Sustainable Development Goals (SDGs). AI holds great promise by capitalizing on the unprecedented quantities of data now being generated on sentiment behaviour, human health, commerce, communications, migration and more.
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
We have less than 10 years to solve the United Nations’ Sustainable Development Goals (SDGs). AI holds great promise by capitalizing on the unprecedented quantities of data now being generated on sentiment behaviour, human health, commerce, communications, migration and more.
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
ITU, https://www.itu.int/
The International Telecommunication Union (ITU) is the United Nations specialized agency for information and communication technologies – ICTs. Founded in 1865 to facilitate international connectivity in communications networks, we allocate global radio spectrum and satellite orbits, develop the technical standards that ensure networks and technologies seamlessly interconnect, and strive to improve access to ICTs to underserved communities worldwide. Every time you make a phone call via the mobile, access the Internet or send an email, you are benefitting from the work of ITU.
UN OpenGIS initiative, http://unopengis.org/
The UN Open GIS Initiative, established in March 2016, is an ongoing Partnership Initiative for Technology in Peacekeeping of United Nations Department of Operational Support. The UN Open GIS Initiative aims to identify and develop an Open Source GIS bundle that meets the requirements of UN operations for both peace-building and peace-keeping.
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