Analysis of satellite imagery

Based on remote sensing

Submitted to-Bindi mam

Submitted by –Mayank singh sakla

Introduction

Remote sensing is method which is used to get information about any object without coming in contact with it. data analysis is done by 2 methods 1.visual interpretation

2.Digital techniques

we are using Erdas imagine as a tool to analysis images.

Objective

The object of this report is data analysis of remotely sensed images and understanding End utilisation process. The aim consists of following study –

Analysis of urban featureAnalysis of water body Analysis of man-made featureAnalysis of vegetation (crop) or land feature

Geographical location(lat/lon) 29° 58' N 78°10 EHumidity Above 55% except winter (25%)

MSL 300 METER

Wind velocity 15 km/hour approx.

Vegetation Northeast of city ( Rajaji national park)

Urban (UA certified) 19 lacs approx. (2011)

Annual temperature variation 4 to 40 degree Celsius

Area 14 km square

Study area

Source-SOI MAP map

Data used

Data used here are generated after correcting error. Data are in standardized format, so that it allows analyze.

Data obtained from satelliteS. No. Sensor name Spatial resolution Spectral band

1 LISS III 23.5 M 3

2 AWIFS 54 M 4

3 LANDSAT(L4-5TM) 30 M 7

MethodologySLECTION OF AREA

DATA DOWNLOAD BY PUBLIC DOMAIN WEBSITE

BHUVAN EARTH EXPLORER/USGS

IRS SERIES

LISS III

AWIFS LANDSAT(L4-5TM)

USE OF ERDAS AS TOOL( .img)

Interpreter utility stack

Data preparation mosaic

Perform task and analysis

Thematic map generation

Tool used histogramBy supervised and unsupervised work

HereThis figure will help in unique map generation of vegetation.

Crop analysisAge of crop / health can be identified by LUT value.

Government uses this for deciding base value

• Age of crop can be identified by look up table value it is fully based on reflectance amount by leave of crop .

• Area under histogram of this area can be used to estimate quantity of crop.

• In digital technique Band 3 (LISS III) is very useful in vegetation study.

• Calibrated scale is use by client to measure quantity .

• calculation of ratio vegetation index (RVI)

Continuation…..• Normalized different vegetation index (NDVI)

calculation. It is high in NIR than red band.

Rain fall 1054 mm annual

Soil type sandy

Sown area 118.4 ha

Kharif crop rice

Rabi crop wheat

Source:- agricoop.nic.in

Ganga river pollution

Tool used inquire cursor / LUT value

According to reflectance value we may estimate the quantity of turbidity in river water.

Survey of Road WorkTool used spatial profile tool

Estimation of cutting and filling for road construction

Terrain modelingTool used surface profile

According to elevation profile we may Generate digital elevation model.

National park analysis

NAME- Rajaji national park some part

In meters

TYPE – dense forest

ORIGINALLY= Area of park cover under this image is only 6.29% of total area which is 820 kmsq.

Category distribution

By assigning uniqueidentification We may demarcate different featureLike

UrbanWater bodyvegetation

Wasteland management

LANDSAT 1999 LANDSAT 2003

The located place is of no use since many years so we can use it like for tourist accommodation

Climate change

Source–LANDSAT4-5TM

1 APRIL 1999 2 JANUARY 1999

FIG. Changes can be see in hilly region according to temporal variation

conclusion• Crop analysis can be made efficient by applied remote sensing

• River cleaning project can be achieved

• Surveying of area can be made efficient like profile leveling

• Optimize use of land can be achieved

• Modeling(Terrain modeling) can be done

• Cartographic map can be made according to remote sensing data.

Reference

Websitewww.crisp.nus.edu.sg/research/tutorial/opt.tnwww.Agricoop.nic.inwww.Whatwhenhow.com/remotsensing/from/air.comBOOKTITLE-Fundamental of remote sensing by George

Joseph

Thank you..