Analyzing Amazon Deforestation with ML and the Google Earth Engine – Part 2 | AI FOR GOOD DISCOVERY

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Published on March 29, 2022 12:00:00 AM ● Video Link: https://www.youtube.com/watch?v=hrKdWygKqcU

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#GoogleEarth Engine combines data catalogue and processing capabilities, allowing the user to access vast amount of geospatial data and apply custom created processing scripts. The focus of the workshop is to apply machine learning algorithms for analyzing #deforestation in the Brazilian Amazon using earth observation data, in particular multispectral images from ESA Sentinel and NASA Landsat missions. The workshop gives a general introduction to the Google Earth Engine cloud-computing service. Along basic functionalities we demonstrate how to browse and access the petabyte data catalogue. We also introduce the basic JavaScript in order for the user to be able to manipulate and handle data processing at a certain level. Going further into the workshop we present how to compute indices such as NDVI (Normalized Difference Vegetation Index) and to analyze in a time-series manner. All the showcased steps eventually lead to a preprocessed set of scenes which are further used to apply a machine learning algorithm to quantify forest loss over time. Finally, the resulted products are evaluated against an external dataset.

🎙 Speakers:
Maria Antonia Brovelli, Professor of Geographic Information Systems and Digital Mapping, Politecnico di Milano
Vasil Yordanov, PhD candidate, ‘Vasil Levski’ National Military University

Shownotes ⏱
00:00 AI for Good Intro
02:10 Workshop panellists intro
7:41 Recap from part 1
31:12 Classification
45:09 Testing and validation
47:25 Landsat 2015 image classification
1:06:29 Classify Sentinel – 2 2019 image
1:17:51 Intermediary save
1:18:10 Let’s add the maps to the canvas
1:18:32 Computing map difference
1:18:57 Computing forest loss and gain 2015-2019
1:35:53 Outro


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