Study of Remote Sensing Technique with Satellite Images: A Practical Approach

Unlock the Power of Remote Sensing in Geography!

This detailed study by Dr. Namdev V. Telore, provides a comprehensive guide to remote sensing techniques, their applications, and real-world case studies.

Key Topics Covered:
✔️ Principles of Remote Sensing & Satellite Imagery
✔️ Types of Remote Sensing Data (FCC, Digital, etc.)
✔️ Methodologies for Image Interpretation
✔️ Role of Tone, Shape, and Pattern in Analysis
✔️ Applications in Forest Mapping, Agriculture, Water Resources, and Urban Studies
✔️ Advantages of Remote Sensing in Large-Scale Analysis

Who Should Read This?
BA, MA, & PhD Geography Students, Researchers in Geospatial Studies, GIS & Remote Sensing Enthusiasts, Environmental Scientists & Policy Planners

Gain practical insights and enhance your research with satellite image analysis techniques!

1. STUDY OF REMOTE SENSING
TECHNIQUE WITH SATELLITE IMAGES:
A PRACTICAL APPROACH
DR. NAMDEV V. TELORE
CENTRE COORDINATOR, IIRS -ISRO (EDUSAT) OUTREACH PROGRAMS
PROFESSOR, DEPARTMENT OF GEOGRAPHY
RAJA SHRIPATRAO BHAGWANTRAO MAHAVIDYALAYA, AUNDH, SATARA
HTTPS://VIDWAN.INFLIBNET.AC.IN/PROFILE/159877

2. PRINCIPLE OF REMOTE SENSING
Remote sensing is defined as ‘The science
and art of acquiring information about
objects from measurements made from a
distance without any physical contact with
the object.’
Using various sensors, we collect the data,
process, and analyze it to obtain
information about the Earth.

3. TYPES OF REMOTE SENSING
DATA
1. Visual form or Photo prints (also called FCC
prints)
2. Digital form or on CDs
3. Or in combination

4. METHODOLOGY
Remotely sensed data can be interpreted digitally with computers
or visually using interpretation keys.
Key elements of image interpretation:
Size – The absolute and relative dimensions of objects, helping
differentiate features like roads, buildings, and vegetation.
Shape – The form of an object, such as linear roads, rectangular
buildings, or irregular natural features.
Pattern – The spatial arrangement of objects, like grid-like urban
structures, meandering rivers, or circular agricultural fields.
Tone (or Colour) – The brightness or colour variations in an image,
indicating differences in material, moisture, or vegetation health.
Association – The relationship between objects, such as industrial
areas near rivers, agricultural fields adjacent to forests, or airports
near highways.

5. TONE (COLOUR) IN
IMAGE INTERPRETATION
- Various red shades on FCC indicate different types of
vegetation.
- Blue colour indicates water bodies.
- White colour indicates sand, snow, and salt.

6. DIFFERENT COLOUR TONES FOR
FOREST VEGETATION
1. Deep Red – Evergreen Forest
2. Blue Black patches – Deciduous Forest
3. Red – Coffee Plantation
4. Dull Blue – Teak Plantation
5. White and Light Colours – Agricultural Lands & Fallows

7. APPLICATIONS OF REMOTE
SENSING DATA
1. Forest Type Assessment
2. Forest Stock Mapping
3. Plantation Monitoring
4. Coastal Vegetation (e.g., Mangroves)
5. Crops – Paddy, Wheat, Cotton, Jute, Tobacco, etc.
6. Agricultural Drought Assessment
7. Degraded Lands
8. Ecosystem Studies
9. Biodiversity Studies
10. Land Use / Land Cover Analysis
11. Water Resources Management

8. ADVANTAGES OF
REMOTE SENSING
1. Large area coverage enabling regional surveys.
2. Repetitive coverage allows monitoring of changes in
agriculture, water bodies, and forest cover.
3. Data can be analysed for multiple purposes.
4. Faster and more accurate computer-based analysis.
5. Access to inaccessible areas like the Himalayas.
6. Multi-spectral information for better classification.

10. EVERGREEN FOREST
Curtsy: Chintla, S.R (2016)
http://dx.doi.org/10.18520/cs/v111/i9/1492-1499

11. COASTAL VEGETATION
(E.G., MANGROVES )

12. BHOONIDHI, NRSC

13. BHOONIDHI

14. AUNDH (SATARA)
LANDSAT 9

15. PARLIAMENT
_NRSC_WEBSITE_1176X3
20

16. VISAKHAPATNAM
AS VIEWED BY CARTOSAT -2S, ACQUIRED ON -30.10.2018

17. THIRUVANANATAPURAM
AS VIEWED BY CARTOSAT -2E, ACQUIRED ON -17.08.21

18. KALESWARAM PROJECT
AS VIEWED BY RESOURCESAT2 -L3, TELANGANA ACQUIRED ON -13.02.2023

19. HYDERABAD CITY
CARTOSAT3

20. PRAYAGRAJ

21. USGS GLOVIS

22. LANDSAT
9

LC09_L1TP_1470
48_20250310_20
250310_02_T1

23. LANDSAT 9
GEO TIFF
IMAGES

24. REFERENCES
https://bhuvan.nrsc.gov.in/wiki/index.php/Free_Satellite_Data
_Download

https://www.iirs.gov.in/EDUSAT-News

https://www.iirs.gov.in/iirs/sites/default/files/pdf/2023/Overvie
w_of_Remote_Sensing_and_GIS_Applications_E -Book.pdf

https://glovis.usgs.gov/app

25. THANK YOU !!