Lecture on Remote Sensing and GIS Applications to Undergrad students of Environmental Engineering at NUST...

1. Remote Sensing
&
GIS Applications
Lokhaze Ali
PhD Student Environmental Engineering (NUST)

2. RemoteSensing&GISApplications
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3. RemoteSensing&GISApplications
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4. Multispectral vs Hyperspectral Bands
• Multispectral imagery generally refers to 3
to 10 bands that are represented in pixels
• Hyperspectral imagery consists of much
narrower bands (10-20 nm)
• Hyperspectral image could have hundreds
of thousands of bands
• This uses an imaging spectrometer
• The main difference between multispectral
and hyperspectral is the number of
bands and how narrow the bands are
RemoteSensing&GISApplications
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5. Multispectral Bands in Landsat 8
Band 1: Coastal aerosol (0.43-0.45 um)
Band 2: Blue (0.45-0.51 um)
Band 3: Green (0.53-0.59 um)
Band 4: Red (0.64-0.67 um)
Band 5: Near infrared NIR (0.85-0.88 um)
Band 6: Short-wave Infrared SWIR 1 (1.57-1.65 um)
Band 7: Short-wave Infrared SWIR 2 (2.11-2.29 um)
Band 8: Panchromatic (0.50-0.68 um)
Band 9: Cirrus (1.36-1.38 um)
Band 10: Thermal Infrared TIRS 1 (10.60-11.19 um)
Band 11: Thermal Infrared TIRS 2 (11.50-12.51 um)
RemoteSensing&GISApplications
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6. 3D Cube of Farmland
• 320 X 320 Pixels Farmland Area
• 193 Spectral Bands
RemoteSensing&GISApplications
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7. Levels of Data
Level 1B Level 2 Level 3
Calibration to Radiance Aerosol Retrieval
Algorithm
Spatial & Temporal
Averaging
Ref: Dr. Pawan Gupta (NASA), 2015
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8. Cyclone Chapala
3rd November 2015
RemoteSensing&GISApplications
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9. Cyclone Megh
9th November 2015
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10. Forecasting Models
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11. MODIS Real Time Image
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12. Remote Sensing
Resolution
• Low spatial resolution (>30 meters)
• Medium resolution (5-30 meters)
• High resolution (1-5 meters)
• Very high resolution (< 1 meter)
RemoteSensing&GISApplications
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13. Very High Resolution
RemoteSensing&GISApplications
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14. Comparison of Top of Atmosphere and
Surface Reflectance
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15. Aerosol Optical Depth (AOD)
Aerosol optical depth is
quantitative measure of
the extinction of the
solar radiation by
aerosol scattering
between the point of
observation and the top
of the atmosphere
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#Aerosols

16. MODIS Monthly AOD Results 2015 over Pakistan
RemoteSensing&GISApplications
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17. MODIS Monthly AOD Results 2014 over Pakistan
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18. MODIS Monthly AOD Results 2013 over Pakistan
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19. Important Links
• EOSDIS Worldview
https://earthdata.nasa.gov/labs/worldview/
• Pakistan Meteorological Department Precipitation Model
http://www.pmd.gov.pk/loop.htm
• Landsat Gallery
http://landsat.usgs.gov/gallery.php
• Digital Globe
http://global.digitalglobe.com/sites/default/files/DG-RemoteSensing-WP.pdf
• Cyclone Chapala
http://earthobservatory.nasa.gov/IOTD/view.php?id=86951&src=fb
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