Step

Activities

Details

1

Problem statement and planning

a. Selection of area of interest, planning ground truth

b. Choice of land use/land cover classes

c. Selection of the mode of accuracy analysis of the output

2

Data collection

a. Cloud free data

b. Consideration of resolution: spatial, temporal, spectral and radiometric

c. Collection of ground reference point

3

Information extraction/analysis

a. Geometric and radiometric correction

b. Choosing a suitable image classification algorithm

c. Training sites selection for supervised image classification

d. Selection of appropriate spectral bands

e. Training class statistics generation for supervised image classification

f. Extraction of land use/land cover information

4

Quality validation of the classification

a. Obtain additional test reference data not used as training

b. Accuracy assessment of the classification intern of class wise and overall accuracy, kappa statistics

5

Results

a. Digital map generation

b. Error evaluation report generation