Spatial Data Science
Introduction to R
Spatial data with
terra
Spatial data analysis
Remote Sensing
Introduction
Exploration
Basic mathematical operations
Unsupervised Classification
Supervised Classification
Processing MODIS data
Case studies
Species distribution modeling
The terra package
R companion to Geographic Information Analysis
Spatial Data Science
Docs
»
Remote Sensing
Remote Sensing
¶
Aniruddha Ghosh and Robert J. Hijmans
Introduction
Terminology
Data
Resources
Exploration
Image properties
Image information and statistics
Single band and composite maps
Subset and rename bands
Spatial subset or crop
Saving results to disk
Relation between bands
Extract cell values
Spectral profiles
Basic mathematical operations
Vegetation indices
Histogram
Thresholding
Principal component analysis
Unsupervised Classification
kmeans classification
Supervised Classification
Landsat data to classify
Reference data
Extract reflectance values for the training sites
Train the classifier
Classify
Model evaluation