Outlines of Project

AbstractObjectiveStudy AreaData usedMethodologyInterpretation

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.

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.

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.

Characteristics of watershed

All characteristics affect the disposal of water

SizeShapePhysiographySlopeClimateDrainage VegetationGeology and soilHydrologyHydrogeologySocioeconomics

STUDY AREA

Gujarat Boundary

District Boundary

DhrangdhraIndia Boundary

Taluka Boundary

Figure-1: Location Map of Study Area in Surendranagar District

Gujarat Boundary

District Boundary

DhrangdhraIndia Boundary

Taluka Boundary

Gujarat Boundary

District Boundary

DhrangdhraIndia Boundary

Taluka Boundary

Figure-1: Location Map of Study Area in Surendranagar District

Dharangdhara – Surendranager district of GujaratLocated at 22° 59' 0" North, 71° 28' 0" East Population – 70653

Watershed development projects

IWMP- 14 ( Methan and Rajcharadi village)

IWMP-7 (East direction of Dhrangdhara)

Data used

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.

Identify Attributes in Dhrangdhara

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

Unc

lass

ified

are

a

Wat

erbo

dy

Veg

etat

ion

Fallo

w la

nd

Sett

lem

ent a

rea

Was

tela

nd

1 2 3 4 5 6

05000

100001500020000250003000035000400004500050000

4oct 2006 year data Area in hectare

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

Unc

lass

ified

ar

ea

Wat

erbo

dy

Veg

etat

ion

Fallo

w la

nd

Sett

lem

ent

area

Was

tela

nd

1 2 3 4 5 6

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

5Jan 2014 year data Area in hectares

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

Class

Unclas

sified

area

Waterb

ody

Vegeta

tion

Fallow

land

Settlem

ent a

rea

Wastel

and

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 Series3

2006 and 2014 area changes calculated in percentage

Classpercentage change

in percentage

Unclassified area -0.0385 -3.846

Waterbody -0.3090 -30.902

Vegetation 0.0678 6.776

Fallow land -0.2397 -23.971Settlement area 0.1603 16.031

Wasteland -0.0417 -4.172

Unclassified area

Waterbody Vegetation Fallow land Settlement area

Wasteland

-40.000

-30.000

-20.000

-10.000

0.000

10.000

20.000

2006 and 2014 area changes calcu-lated in percentage

Perc

enta

ge

Supervised Classification in ERDAS Fallowing the steps

Unsupervised Classification in ERDAS Fallowing the steps

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.

• BISAG• INTERNET• REMOTE SENSING AND GIS

BOOK

Reference

Thanks