Additional info:
Creating a classification with landsat ETM+. Preprocessing includes:
Reprojection: Idrisi Import / Reproject, Projection: UTM 17 South (30 m pixel size)
Subsetting: Idrisi Window, min x : 684990, max x : 758010, min y: 9493010, max y: 9601610
Geometric correction: ERDAS Imagine 8.6, Geometric model: Landsat
Reference: Landsat Geocover datasets (1986, 2000, orthorectified), Digital elevation model: SRTM data, Ground Control Points: 152, Control Point Error : (X) 12.68 (Y) 13.42 (Total) 18.46 (<1 pixel), Subsetting: min x: 684990, max x: 757710,min y: 9493010, max y: 9599390
Atmospheric correction: Idrisi Atmosc (Cost model), Year: 2001, Month: 11, Day: 03, GMT: 15.00, Sun elevation: 61.8568494
Band Center (Cm) DN haze Offset Gain
1 0.485 27 -0.73807 0.11807
2 0.56 19 -0.76098 0.12098
3 0.66 12 -0.59425 0.09425
4 0.83 6 -0.60693 0.09693
5 1.65 3 -0.11912 0.01912
7 2.215 5 -0.04165 0.00665
Topographic correction:
Statistical-empirical approach
Idrisi Hillshade
Digital elevation model: SRTM data
Sun elevation: 61.8568494
Sun azimuth: 114.5874861
CLASSIFICATION:
Step 1) Maximum likelihood classifier with 19 different training sites
Step 2) Post-classification merging to 15 and 10 classes
