Delineate water bodies (lakes) from Landsat 8 using machine learning with Python and QGIS - Tutorial

preview_player
Показать описание
The process of retrieving information from satellite imagery could be time consuming and faces challenges like image resolution, feature recognition and user criteria. With the use of machine learning tools we can preprocess images and combine them with standard QGIS tools to delineate objects in a much efficient way.
We have done a tutorial for the delimitation of water bodies as lakes from a panchromatic Landsat 8 image. The tutorial shows a mixed procedure that detects edges with Python and Scikit Image , traces paths with QGIS and the Trace Raster plugin and finally gets the lake extension as a Shapefile.
You can download the input data for this tutorial from this link:
Рекомендации по теме
Комментарии
Автор

Hey Hatari Labs, nice to meet you! I just found your channel, love what you're doing!

I like how clear and detailed your explanations are as well as the depth of knowledge you have surrounding the topic! Since I run a tech education channel as well, I love to see fellow Content Creators sharing, educating, and inspiring a large global audience. I wish you the best of luck on your YouTube Journey, can't wait to see you succeed! Your content really stands out and you've put so much thought into your videos, I applaud you on that!

Cheers, take care, and keep up the great work ;)

empowercode
Автор

can I use other satellites? how sentinel?

leticiadefreitasvieira