land-cover-classification's Introduction

Analysis of Land Cover Classification in Santa Barbara

Using supervised classification to perform a landcover classification of 2020 Southern Santa Barbara County.

Goals

Train a decision tree classifier using spectral reflectance data
Classify land cover types of Southern Santa Barbara County

Visualizations

This project produced a visualization of the landcover classifications in Southern Santa Barbara using tmap

Skills Highlights

build decision tree using spectral reflectance data to classify landsat images
combining vector and raster data
resampling raster data
Visualize rasters using tmap

Contents/Structure:

land-cover-classification
    │ README.md 
    │ Rmd/Proj files
    │ 
    └───data 
         | landsat-data
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B1.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B2.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B3.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B4.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B5.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B6.TIF
         |     | LT05_L2SP_042036_20070925_20200829_02_T1_SR_B7.TIF
         │  
         │ SB_county_south
         │     | shapefiles 
         │
         │ 
         │ trainingdata
               | shapefiles

Data Access

All data to conduct this analysis is stored in the data folder.

The landsat data is from Landsat 5, and we used 1 scene from September 25, 2007. - bands: 1, 2, 3, 4, 5, 7 - Collection 2 surface reflectance product.

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