Supervised Classification in QGIS | Landuse Landcover Map in QGIS | SCP tool

About this Video
Welcome to our tutorial on performing Supervised Classification in QGIS! In this video, we'll guide you through the process of creating a Landuse Landcover Map using the Semi-Automatic Classification Plugin (SCP) tool in QGIS.

📌 What You'll Learn:
Introduction to Supervised Classification: Understand the basics of supervised classification and its importance in GIS and remote sensing.
Setting Up QGIS and SCP Plugin: Step-by-step instructions on installing and configuring the Semi-Automatic Classification Plugin (SCP) in QGIS.
Preparing Your Data: Learn how to import and preprocess satellite imagery for accurate classification results.
Creating Training Samples: Discover how to create and manage training samples for different land cover types.
Running the Classification: Execute the supervised classification process using SCP and analyze the output.
Post-Classification Processing: Tips on refining your landuse landcover map for better accuracy and visualization.

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#QGIS #SupervisedClassification #LanduseLandcover #GIS #RemoteSensing #SCPTutorial #QGISTutorial #LandcoverMapping

Tags:
QGIS, Supervised Classification, Landuse Landcover Map, SCP tool, GIS, Remote Sensing, Satellite Imagery, QGIS Tutorial, SCP Plugin, Semi-Automatic Classification Plugin, Landcover Mapping, GIS Tutorial

Playlists ⬇️
1️⃣ Various Space Agencies & Missions: https://bit.ly/44UBJQI
2️⃣ Data Download Processes for GIS Work: https://bit.ly/44WYP9D
3️⃣ QGIS Basics Tutorials: https://bit.ly/3Oljo95
4️⃣ ArcMap Basics Tutorials: https://bit.ly/3DoAopy
5️⃣ Terrain Analysis: https://bit.ly/44UBJ38
6️⃣ Hydrological Analysis: https://bit.ly/472LGgY
7️⃣ Image Classification: https://bit.ly/3sb1iyR
8️⃣ Indices: https://bit.ly/3RfKPUB
9️⃣ Advanced Methods: https://bit.ly/3NRgt8H

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