Welcome to 18th ISPRS SC and WG V/5 Summer School

Apart from climate, one of the most important components of global change is the change in land use and land cover (LULC). LULC change detection is a key task for better understanding landscape dynamics and sustainable management planning. Mapping and monitoring LULC has become one of the most important applications of remote sensing (RS). Today, we face an unprecedented amount of public RS data and new tools are already available to transform it into useful information. Google Earth Engine (GEE) is a cloud computing platform for processing RS data that provides access to a large collection of satellite imagery and the necessary computational power to analyze them. This summer school will focus on the use of machine learning algorithms to classify Landsat images using GEE to produce land cover maps and monitor change in time.

The workshop will be organized in three parts, each one having a theory lecture and hands-on-computer practice (see program here):

  1. Bases for LULC mapping using RS data and presentation of GEE.
  2. LULC classification techniques and implementation in GEE.
  3. LULC change detection and implementation in GEE.

When and where?

The workshop will take place in November 13th and 17th in "Campus Sur", Universidad de Chile, which is located in the South Santiago city, the capital of Chile.

Who can attend? 

We are inviting student from Chile and other Latin American Countries to join the workshop. Students from other parts of the globe are also welcome. We only ask for two things: you should have your on laptop and you should be able to understand English.