Short course in remote sensing, based on e-learning using WizIQ. Video of e-course can be seen here: First day: http://www.wiziq.com/online-class/1558038-imagery-processing Second day: http://www.wiziq.com/online-class/1558853-imagery-processing-2nd-day

1. Remote sensing e-course
28-29 December, 2013
Fatwa Ramdani
Geoenvironment, Earth Science, Grad. School of Science

2. Outline
• The first day of this course will focus in vegetation cover analysis
based on remotely-sensed data, Landsat OLI 8. The methods how to
analyze and exploit the multispectral information for vegetation
mapping will be illustrated. This lesson also provide the concept of
color composite, basic algorithm theoretical of atmospheric
correction, how to using formula in open source software.
• The second day will guide the students to the next level of analysis
using Thermal Infrared Sensor, compare with the vegetation indices
and different land use land cover class.
• In every section will be follow with the exercise and questions to allow
student expand their understanding.

3. Course Goal and Objectives
• Understand the concept of false composite color
• Understand the basic algorithm theoretical of atmospheric
correction
• Understand formula module function in open source software
• Understand the benefit of vegetation indices
• Understand basic cartography design and classification
technique
• Understand the utility of TIRS bands

4. Intended Audience
• University student with basic level of
knowledge in Remote Sensing studies
• Course Requirements:
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–
–
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Internet access
GRASS software (http://grass.osgeo.org/grass64/binary/mswindows/native/)
QuantumGIS software (http://www.qgis.org/en/site/forusers/download.html)
Download data here ()

5. 1. Using remotely-sensed image to
highlighted vegetation
• This lesson will focus in vegetation cover analysis based on remotelysensed data, Landsat 5 TM, Landsat 7 ETM+, and OLI 8. The methods how
to analyze and exploit the multispectral information for vegetation
mapping will be illustrated. This lesson also provide the concept of color
composite.
Resources:
• http://fatwaramdani.wordpress.com/2013/05/31/landsat-8-of-westsulawesi/
• http://landsat.usgs.gov/L8_band_combos.php

6. 2. Radiance and Reflectance
• The section will be discuss the basic concept of radiance and reflectance
Resource
•
http://www.exelisvis.com/Company/PressRoom/TabId/190/ArtMID/786/ArticleID/3377/3377.aspx

7. To understand more about how Satellite sensors work, it helps to remember
that – As sunlight strikes Earth’s surface, some of it is
absorbed, and some of it is reflected back into space.

8. Sunlight has visible light and infrared light, as well light of other
wavelengths. Sunlight interacts with the objects it hits. Some of
it is absorbed and some of it is reflected by those objects.
We see the light that’s reflected from objects.
Photo: Diptarama

9. Red, green, blue, and infrared light from the sun hit
the tree and its leaves.
Infrared and green light are reflected from the tree.
Red and blue light are absorbed by the tree.
In this picture,
IR is Infrared light
R is red light
G is green light
B is blue light

10. Activities!
•
•
•
•
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Import file using GRASS
Explore basic statistics
Rescale satellite images
Apply greyscale and RGB composite
Apply image enhancement (IHS)

11. 3. Generating vegetation indices and
produce thematic map
• This lecture will introduce the student to basic algorithm theoretical of
Digital Numbers (DNs) conversions, atmospheric correction, how to using
formula in open source software, variant of vegetation indices algorithm,
and will be follow with the exercise and questions to allow student expand
their understanding.
ACTIVITIES
• Converting DNs into Reflectance, calculate NDVI & WDRVI, assign colour.
Resource
•
•
https://landsat.usgs.gov/Landsat8_Using_Product.php
http://fatwaramdani.wordpress.com/2010/12/02/optimizing-spectral-information-for-sensing-vegetationproperties/

12. Quiz?
• Why do we assign band to certain color?
• How is the spatial distribution of vegetation density in
the study area? Which area has sparse, moderate, and
dense vegetation cover? Could you distinguish it from
false composite color?
• What is d2 value associated with 28 Dec 2013?
• Why do we need to perform TOA radiance and TOA
reflectance?
• Why the histogram and transect of WDRVI image and
NDVI image are different?
• What impression do you get from the scatter chart of
the WDRVI against NDVI values?

13. End of first day
Questions?

14. 6. Comparing near-natural colour composite
to LST (Land Surface Temperature)
•
The students will guide to comparing their land surface temperature map with
near-natural colour composite using GRASS. Also they will guider more to explore
command console in GRASS
Resources
• http://fatwaramdani.wordpress.com/2012/04/04/comparing-near-natural-colourcomposite-to-lst-land-surface-temperature-using-grass/

15. 4. Exploring Digital Numbers (DNs)
of TIRS bands
• This lecture will introduce students how to explore the DNs of TIRS band
using transect and histogram
ACTIVITIES!
• Converting DNs into Radiance
Resources
http://atmcorr.gsfc.nasa.gov/
http://atmcorr.gsfc.nasa.gov/Barsi_AtmCorr_SPIE05.pdf
https://landsat.usgs.gov/calibration_notices.php

16. 5. Deriving surface temperature
from TIRS band using GRASS
• This part will guide students how to derive surface temperature from TIRS
band using GRASS
ACTIVITIES!
• Converting Radiance into Absolut temperature (Kelvin)
• Converting Absolut temperature into Celsius
• Save file and produce map using QuantumGIS
Resources
•
http://fatwaramdani.wordpress.com/2012/04/04/how-to-derive-surface-temperature-from-thermalband-using-grass/

17. Activities& Quiz!
• Read the LST values using transect line on the different land
use land cover, record the coordinates, and create the tables.
Record at least for 5 different land use land cover
• Read the vegetation indices value & LST values using transect
line on the different land use land cover, and create the
scatterplot
• Based on the above activites, analyse the result! Which class
of land use land cover related to high land surface
temperature, and which class related to the lower values?

18. Thank you!
Questions?