Supervised classification by using ArcGIS

 

Supervised classification technique was used to identify the land use land cover (LULC) changes by using different satellite images. Various satellite images were used like Landsat, MODIS and sentinel etc. First, the Landsat image must be composed because it comprised many bands. Layer stacking was fulfilled to get an image with band combination. The process of sub setting was conducted in Arc GIS 10.1 software by using the extract by mask tools of the image based on the study area.

2^nd, digital LULC classification through the supervised classification method (maximum likelihood algorithm), based on the field knowledge, was employed to perform the classification for different years. To make LULC maps, we have used supervised classification by taking care of the study area of interest as well as field survey measurements together for training and validation parts. These LULC images were then reclassified by using software Arc GIS to compare the changes found in these years. ERDAS Imagine 15 and Arc GIS are powerful tools for extracting the LULC, from satellite imageries. Supervised classification is powerful tool to identify the LULC changes by using ArcGIS software.

 The LULC classes included vegetation (natural vegetation, forest, crop fields, agricultural lands, parks, and vegetated lands), built-up area (all infrastructure, commercial and residential; road networks; and settlements), bare soil (unused lands, empty lands, open space, fallow lands, earth/sand fillings, bare soil, and others), and water bodies (river, lakes, ponds, canals, low-lying areas, marshy lands and swamps, etc.

See also: https://www.youtube.com/watch?v=qtB2dD_BH3w