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Landuse & Landcover Mapping using ArcGIS | Supervised Classification
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Perform Landuse / Landcover map using Supervised Classification in ArcGIS. By following the steps you will easily able to perform Landuse / Landcover. Landsat 8 is used for the LULC mapping.
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#lulc #arcgis
00:00 Introduction
00:34 Add Landsat Image
01:17 Band details of Image (Landsat 8)
01:52 Band Composite or Layer stacking
03:42 Band Combination
04:12 Clipping Landsat image
05:40 Download Landsat 8
05:48 Supervised Classification
06:02 Enable Image Classification tool
07:17 True & False Colour Combination
10:30 Training Sample Manager
10:48 Dense Vegetation - Sample Manager
13:19 Merge Samples
13:51 Vegetation - Training Sample Manager
15:34 Waterbodies - Training Sample Manager
16:30 Settlements - Training Sample Manager (Colour - Whitish - Blue combo
18:12 Saving Trained datasets
18:30 Saving Signature file
18:53 Supervised Classification (Maximum Likelihood)
20:16 Result of Supervised Classification
20:25 Overview of Result Image
23:07 Change colour for each LULC Class
24:40 Create Field
Join this channel to get access to perks:
#lulc #arcgis
00:00 Introduction
00:34 Add Landsat Image
01:17 Band details of Image (Landsat 8)
01:52 Band Composite or Layer stacking
03:42 Band Combination
04:12 Clipping Landsat image
05:40 Download Landsat 8
05:48 Supervised Classification
06:02 Enable Image Classification tool
07:17 True & False Colour Combination
10:30 Training Sample Manager
10:48 Dense Vegetation - Sample Manager
13:19 Merge Samples
13:51 Vegetation - Training Sample Manager
15:34 Waterbodies - Training Sample Manager
16:30 Settlements - Training Sample Manager (Colour - Whitish - Blue combo
18:12 Saving Trained datasets
18:30 Saving Signature file
18:53 Supervised Classification (Maximum Likelihood)
20:16 Result of Supervised Classification
20:25 Overview of Result Image
23:07 Change colour for each LULC Class
24:40 Create Field
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