Unsupervised Image Classification using KMeans Classification in QGIS

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Hello friends, we now started our most demanding video series "Landuse and Landcover Classification and Change Detection in QGIS".

This is the 4th video on this series.

"Unsupervised Image Classification using KMeans Classification in QGIS"

It is very important to know for LULC classification.

Previous Video:
Remote Sensing and Spectral Reflectance | Active and Passive Sensor

Step by step we will cover each and every topic on LULC and Change Detection.

if you face any issue. Feel free to comment.

Previous Video on Create Map Layout in QGIS || Print Layout

Latest playlist on Terrain Analysis (Slope, Aspect, and Hillshade):

Previous Videos:
Land Cover Supervised classification using Semi-Automatic Classification Plugin on QGIS

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#UnsupervisedClassification #QGIS #KMeansClustering
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Supervised image classification niye akta video banale valo hoy ..khub help hbe tahole

anitashaw
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Hi... brother, can this tutorial applied to clustering time series image or just for single image only ? i have ndvi time series of sentinel 2 from GEE

sabbahamunandar
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Sir processing option e giyeo OTB Toolbar show kor6e na

taniakhatun
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Very Nice explanation, but how to find the training file so that we can correct or join any spectral similarities, as we do in SCP

arindomain
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Q gis a scp te clastariong show korche na 😢 kivabe korbo?

tanusreesarkar
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clustering not shown under band processing

IRFANMUBARAKPP
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Sir please gps r nie akta series banan
Corona r jonno amra gps r kichui sikhte parini

crisscross
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Thank You..will try 😊 can you make a video how to clipout exact area like kolkata or purulia etc. From satellite image ?

AkashSk-gstz