About

This is python based project analyzes and predicts the LULC(Land Use Land Cover) patterns in central region of india. Land uses and land covers are classified as follows:

1. Water Bodies --> Rivers, Lakes
2. Vegetation --> Forests, Agriculture, Greenland
3. Buildup Area

Landsat-8 OLI data is used to analyze the LULC patterns of the time range 2013-2022(quater-wise) using QGIS tool. LSTM(Long-Short Term Memory), a deep learning algorithm, is used for time-series analysis and prediction.

Region of Interest

Central region of india

Implementation 01

merging landsat-8 OLI data in QGIS to obtain the desired region of interest

Implementation 02

clipping merged landsat-8 OLI data in QGIS to obtain desired region of interest

Implementation 03

Performing supervised classification into various land use land cover(LULC) classes in QGIS of clipped landsat-8 data