basic remote sensing

1. Analysis of satellite
imagery
Based on remote sensing
Submitted to-
Bindi mam
Submitted by –
Mayank singh sakla

2. 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.

3. 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 feature
Analysis of water body
Analysis of man-made feature
Analysis of vegetation (crop) or land feature

4. Geographical location(lat/lon) 29° 58' N 78°10 E
Humidity 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

5. Data used
Data used here are generated after correcting
error. Data are in standardized format, so that
it allows analyze.
Data obtained from satellite
S. 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

6. Methodology
SLECTION 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

7. Thematic map generation
Tool used  histogram
By supervised and unsupervised work
Here
This figure will help in
unique map generation
of vegetation.

8. Crop analysis
Age of crop / health can be identified by LUT value.
Government uses this for deciding base value

9. • 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)

10. 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

11. Ganga river pollution
Tool used  inquire cursor /
LUT value
According to reflectance value we may
estimate the quantity of turbidity in
river water.

12. Survey of Road Work
Tool used  spatial profile tool
Estimation of cutting and filling for road construction

13. Terrain modeling
Tool used  surface profile
According to elevation profile we may
Generate digital elevation model.

14. 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.

15. Category distribution
By assigning unique
identification We may
demarcate different feature
Like 
Urban
Water body
vegetation

16. 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

17. Climate change
Source–LANDSAT4-5TM
1 APRIL 1999 2 JANUARY 1999
FIG. Changes can be see in hilly region according to temporal variation

18. 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.

19. Reference
Website
www.crisp.nus.edu.sg/research/tutorial/opt.tn
www.Agricoop.nic.in
www.Whatwhenhow.com/remotsensing/from/a
ir.com
BOOK
TITLE-Fundamental of remote sensing by George
Joseph

20. Thank you..