Post Classification Change Detection to Assess Land Degradation Desertification and Urbanization in

1
Post Classification Change Detection to Assess
Land Degradation (Desertification) and
Urbanization in Western-Northern Badia in
Al-Mafraq Governorate, Jordan

• Presented by Rana Al-Jawarneh

2
Desertification The Mysterious Truth

• A- Overview-
• What is Desertification?
• It has a large number of definitions, it is the
  spread of desert-like conditions in arid and
  semi-arid regions. Also, degradation of land in
  arid, semi-arid and sub-humid areas. It is a
  gradual process of soil productivity loss and
  thinning of vegetation cover caused by human
  activities and climatic changes.
• Why does it occur?
• Desertification causes can be classified into two
  categories-
• 1- Climatic causes
• 2- Human causes

3
Study Area

• Since the area of Al-Mafraq city is wide and has
  several climatic and human conditions, it is hard
  to cover it all. Therefore, I have chosen the
  western part of Al-Mafraq city.
• BUT
• Why this part exactly????????????

4
(No Transcript)
5

• Data acquired from Path 174 row 37-
• TM_05_26_1987
  ETM 05_21_2000
  
  

6

• Study Area
• TM
• 
  
  ETM

7
Unsupervised Classification
8
Accuracy Assessment
Class Reference Classified Number Producers User
s Name Totals Totals Correct
Accuracy Accuracy ---------- ---------- -----
----- ------- --------- -----
0 0 0 --- ---
Agriculture 48 51 47
97.92 92.16 Urban 43
37 29 67.44 78.38 Pastures
43 43 42 97.67 97.67
Bare Soil 93 85 83
89.25 97.65 Quarrires 27
38 26 96.30 68.42 Totals
254 254 227 Overall Classification
Accuracy 89.37 ----- End of Accuracy
Totals ----- KAPPA (K) STATISTICS ------------
--------- Overall Kappa Statistics
0.8620 Conditional Kappa for each
Category. ------------------------------------
Class Name Kappa ----------
----- 0.0000
Agriculture 0.9033 Urban
0.7397 Pastures 0.9720 Bare
Soil 0.9629 Quarrires 0.6466
9
Accuracy Assessment ETM
Class Reference Classified Number Producers User
s Name Totals Totals Correct
Accuracy Accuracy ---------- ---------- -----
----- ------- --------- -----
0 0 0 --- ---
Agriculture 54 54 54
100.00 100.00 Urban 51
53 42 82.35 79.25 Pastures
37 36 36 97.30 100.00
Bare Soil 74 65 61
82.43 93.85 Quarries 38
46 38 100.00 82.61 Totals
254 254 231 Overall Classification
Accuracy 90.94 ----- End of Accuracy
Totals ----- KAPPA (K) STATISTICS ------------
--------- Overall Kappa Statistics
0.8855 Conditional Kappa for each
Category. ------------------------------------
Class Name Kappa ----------
----- 0.0000
Agriculture 1.0000 Urban
0.7403 Pastures 1.0000 Bare
Soil 0.9132 Quarries 0.7955
10
nXn GIS Matrix
11
(No Transcript)
12
Model
13
The End

• That was what I have done so far.
• I appreciate your time and attention.
• Is there any question????