This repository holds all class material for the "Remote Sensing: physical basis and applications" graduate course, offered by the Graduate Program in Geography, UNESP-Rio Claro.

Lecture 1: Introduction to Remote Sensing / The Physical Basis of Remote Sensing

Lab 1: exploration and manipulation of digital remote images

Lecture 2: Spectroscopy of natural and artificial targets Lab 2: Spectroscopy demonstration and exploration of spectral imagery

Lecture 3: Image Pre-Processing: radiometric, geometric and atmospheric calibration

Lab 3: Pre-processing satellite images

Lecture 4: Image Processing: image transformations and manipulation

Lab 4: Band math, spectral indices, filtering, pan sharpening

Lecture 5: Image Classification: pixel-based and object-based classification methods

Lab 5: Image classification and validation

Lecture 6: Image Sources: where to get remote sensing imagery?

Lab 6: Image ordering and acquisition

Lecture 7: 21st Century Remote Sensing: scripting analysis using R and Python

Lab 7: Reproducing the analytical workflow using R and RSGISlib

Lecture 8: Project: self-directed work

Lecture 9: Project: self-directed work

Lecture 10: Project presentations and discussion