sees-rsrc.science.uq.edu.au/rstoolkit/en/html/terrestrial/resources/fundamentals…
This section will explain the main image processing steps to map biophysical properties using remote sensing imagery derived from passive sensors. The steps described will focus on:
- Pre-processing sequence: Image acquisition, Types of corrections, When to correct, Radiometric corrections, Geometric correction & Masking (e.g. water, cloud)
- Field data for calibration and validation: Groundcover surveys, Vegetation structure surveys, Spectral library collection, Optical properties & Control points
- Commonly used mapping approaches: Manual delineation and labeling, Object-based analysis, Supervised classification, Unsupervised classification, Inverse modeling, & Regression analysis
- Detecting change and trends: What is change and trend detection?, Image requirements, Trend detection and analysis, Example time series imagery, Example change maps
- Delivering a remote sensing product: Post classification refinement, Error assessment procedures, Evaluate error matrix using appropriate statistics & Communication of map products
