project

2. Outlines of Project
 Abstract
 Objective
 Study Area
 Data used
 Methodology
 Interpretation

3. Abstract
 Our project is towards monitoring and
assessment of changes in the watersheds in
Dhrangdhara taluka of Surendranagar district
using Remote sensing and GIS technology.
 The Indian Remote sensing satellite (IRS),
Linear Image Self Scanning Sensor(LISS iii)
data of 4th Oct 2006 and 5th Jan 2014 are
used and analysed.
 Classified outputs of two periods were
compared to derive information, on changes
that occurred over a period of 8 years in the
water bodies, Vegetation ,Fallow land,
Settlement and Wasteland .
 The monitoring practices revealed an
increase in area under cultivation and area
under settlement and decrease in area of
wasteland, fallow land and water bodies.

4. Objectives
 Monitoring impact of watershed
development programmes on cropping
pattern in Dhrangdhara Taluka using
geo informatics technology.
 Land use classification using multi
temporal data of IRS LISS III.
 Change detection in agricultural area
using supervised classification of
LISSIII data.

5. Watershed
 A watershed is the area of land where
all of the water that is under it or
drains off of it goes into the same
place.
 The area that drains into a single river is
the watershed for that river.

6. Characteristics of watershed
 All characteristics affect the disposal of
water
 Size
 Shape
 Physiography
 Slope
 Climate
 Drainage
 Vegetation
 Geology and soil
 Hydrology
 Hydrogeology
 Socioeconomics

7. STUDY AREA
Gujarat Boundary
District Boundary
Dhrangdhra
India Boundary
Taluka Boundary
Figure-1: Location Map of Study Area in Surendranagar District
Gujarat Boundary
District Boundary
Dhrangdhra
India Boundary
Taluka Boundary
Gujarat Boundary
District Boundary
Dhrangdhra
India Boundary
Taluka Boundary
Figure-1: Location Map of Study Area in Surendranagar District
Dharangdhara – Surendranager district of
Gujarat
Located at 22° 59' 0" North, 71° 28' 0"
East
Population – 70653

8. Watershed development projects
 IWMP- 14 ( Methan and Rajcharadi
village)
 IWMP-7 (East direction of
Dhrangdhara)

9. Data used

10. Methodology
 Arcgis
 Erdas imagine
 Prepared basemaps using GIS data.
 Composed map layout proceeding
north- arrow, scale, legend, text and
border and exported it to jpg format.
 ERDAS Imagine: Classified the image
using supervised and unsupervised
methods for the classification here we
used supervised classification by using
AOI extraction we have extracted 10-15
AOI in each class and analysed the
images.

14. Identify Attributes in Dhrangdhara

20. 4oct 2006 year data
Sno Class Area in hectare
1 Unclassified area 27
2 Waterbody 1292
3 Vegetation 39543
4 Fallow land 21225
5 Settlement area 29721
6 Wasteland 43823
Total area 135631

21. 0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
Unclassified
area
Waterbody Vegetation Fallow land Settlement
area
Wasteland
1 2 3 4 5 6
4oct 2006 year data Area in hectare

23. 5Jan 2014 year data
S no Class Area in hectares
1 Unclassified area 26
2 Water body 987
3 Vegetation 42417
4 Fallow land 17121
5 Settlement area 35395
6 Wasteland 42068
Total area 138014

24. 0
5000
10000
15000
20000
25000
30000
35000
40000
45000
Unclassified
area
Waterbody
Vegetation
Fallowland
Settlement
area
Wasteland
1 2 3 4 5 6
5Jan 2014 year data Area in
hectares

29. year 04-Oct-06 05-Jan-14
Class
Area in
hectare Area in hectare
Unclassified area 27 26
Water body 1292 987
Vegetation 39543 42417
Fallow land 21225 17121
Settlement area 29721 35395
Wasteland 43823 42068
Total area 135631 138014

30. 0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
Difference Between 2006 and 2014
Years in Hectares
04-Oct-06 05-Jan-14

31. 2006 and 2014 area changes calculated
in percentage
Class percentage change in percentage
Unclassified
area -0.0385 -3.846
Waterbody -0.3090 -30.902
Vegetation 0.0678 6.776
Fallow land -0.2397 -23.971
Settlement
area 0.1603 16.031
Wasteland -0.0417 -4.172

32. Unclassified
area
Waterbody Vegetation Fallow land
Settlement
area
Wasteland
Series1 -3.846 -30.902 6.776 -23.971 16.031 -4.172
-40.000
-30.000
-20.000
-10.000
0.000
10.000
20.000
Percentage
2006 and 2014 area changes calculated in
percentage

33. Supervised Classification in ERDAS Fallowing the
steps

34. Unsupervised Classification in ERDAS
Fallowing the steps

36. Interpretation
 Vegetation has increased 6.7% good
sign.
 Settlement area increased 16.03% is
good sign for economically.
 Waterbody has Decreased 30% might
lead to scarcity of water for irrigating
the land.
 Wasteland has decreased 4% is
actually good sign. Which means the
land has been converted to usable
form.
 But Decreasing Water body 30% and
follow land 23% which is an alarming
warning signal for us where we have to
concentrate.

37. • B I S A G
• I N T E R N E T
• R E M O T E S E N S I N G A N D G I S
B O O K
Reference

38. Thanks