This document summarizes several studies that used remote sensing (RS) and geographic information systems (GIS) to assess air pollution. It describes studies that used RS data from MODIS, Landsat, and other satellites combined with ground measurements to analyze correlations between land use, thermal patterns, and air pollution levels in various cities around the world. The document also provides an overview of the Terra, Aqua, and ERS-2 satellites and their instruments that have been used to monitor air pollutants like carbon monoxide, sulfur dioxide, and aerosols from space.

1. AIR POLLUTION ASSESSMENT

2. CONTENT
Case Study
• GIS Based
• RS technology for DetectingAir pollution
Satellite
overview
• Terra
• Aqua
• ERS2
Discussion
• Recommendations….

3. GIS BASED
 Article Name: Urban air pollution patterns, land use, and thermal landscape: An
examination of the linkage using GIS
 Area: Guangzhou
 Specification:
 Use Ground Measurements.
 Use Landsat data for land use and thermal landscape combined with maps.
 Use GIS for analyzing and Correlation Estimation>> Positively Correlated.
 Thermal IR imagery could play a unique role in monitoring and modeling atmospheric pollution.

4. GIS BASED
 Article Name: Satellite remote sensing of particulate matter and air quality assessment
over global cities
 Area: global urban areas spread over 26 locations
 Specification:
 Use MODIS data and Ground measurement.
 excellent correlation between the bin-averaged daily mean satellite and ground based values with a
linear correlation coefficient of 0.96.
 Using meteorological and other ancillary datasets, and assess the effects of wind speed and cloud
cover.

5. GIS BASED
 Article Name: Application of hyperspectral Remote sensing and GIS for assessing
forest health and air pollution.
 Area: Sierra Nevada of California, USA and the Pyrenees of Catalonia, Spain
Specification:
 Integration of RS and GIS
 Monitoring Forest
 Species-level classifications of AVIRIS and CASI hyperspectral imagery were all near 80% overall
accuracy

6. GIS BASED
 Article Name: Air pollution monitoring and GIS modeling: a new use of nanotechnology
based solid state gas sensors.
 Area:Thailand, especially in Bangkok.
 Specification:
 Use nanotechnology.
 RealTime (useWireless GIS).
 Use Ground measurements, Inexpensive sensors (PDA linked through Bluetooth communication
tools and GPS , will allow rapid dissemination of information on pollution levels at multiple sites
simultaneously)

7. RSTECHNOLOGY FOR DETECTING AIR
POLLUTION
 Article Name: Air quality evaluation on an urban scale based on MODIS satellite
images.
 Area: Beijing
 Specification:
 Use MODIS sensor.
 Urban-scale air quality monitoring. (Resolution: 1km)
 The 1 km AOT data are validated by using AOT measurements from two AERONET stations.
 Then the validated 1 km AOT data are compared with ground-based PM2.5 mass
concentration.

8. RSTECHNOLOGY FOR DETECTING AIR
POLLUTION
 Article Name: Applications of MODIS satellite data and products for monitoring
air quality in the state ofTexas
 Area:Texas
 Specification:
 Use MODIS sensor.
 monitored over land and ocean surfaces.
 detect and track the migration of pollutants.

9. RSTECHNOLOGY FOR DETECTING AIR
POLLUTION
 Article Name: A Simplified high resolution MODIS Aerosol Retrieval Algorithm
(SARA) for use over mixed surfaces.
 Area: Hong Kong
 Specification:
 Use MODIS sensor.
 Retrieval Algorithm for use over Hong Kong at high (500 m) spatial resolution.

10. RSTECHNOLOGY FOR DETECTING AIR
POLLUTION
 Article Name: Ability of MODIS data in qualitative and quantitative air quality
analysis in urban area. (in Persian)
 Area:Tehran
 Specification:
 Detecting aerosols.
 Use MODIS –Terra and Aqua satellite - data (10 km resolution)
 Use MOD L1 and MOD L2.
 Use ground station measurements.

11. RSTECHNOLOGY FOR DETECTING AIR
POLLUTION
 Article Name: A Quick method to estimate aerosols density with MODIS data (In Persian)
 Area:Tehran
 Specification:
 Use Linear Spectral Decomposition to separate the reflectance between ground surfaces and
aerosols.
 Use MODIS –Terra and Aqua satellite - data (250 km resolution)
 Use MOD L1 and MOD L2.
 Use ground station measurements.
 Inability to comparison between ground station measurements and RS results.

12. SATELLITE OVERVIEW
 Satellite Name:Terra (MOPITT, MODIS, MISR)
 Specification:
 Terra satellite in December 1999 significantly expanded scientific perspective about the
scale of tropospheric pollution.
 The MOPITT instrument onboard Terra is a nadir-viewing gas correlation radiometer
operating in the 4.7 µm band of carbon monoxide (22 km * 22 km)
 Aerosol retrievals over land from MODIS are described originally by Kaufman et al.
(1997).

13. SATELLITE OVERVIEW
 Satellite Name: Aqua (MODIS, AIRS)
 Specification:
 AIRS is a cross-track scanning spectrometer that covers the 3.7–16 µm spectral range.
 13.5 km nadir field-of-view.
 CO retrievals are conducted at 4.7 µm with a spatial resolution of 45 km at nadir.
 Volcanic SO2 also is being retrieved.

14. SATELLITE OVERVIEW
 Satellite Name: ERS-2 (GOME-1) - 1995 to June 2003
 Specification:
 Satellite remote sensing of the lower troposphere effectively began in 1995 with the
launch of the GOME-1.
 GOME-1 is a nadir-viewing grating spectrometer that measures solar backscatter with
broad spectral coverage (230–790 nm) and moderate resolution (0.2–0.4 nm).
 Spatial resolution of a ground scene is variable but is typically (40 km *320 km).
 retrievals of tropospheric NO , HCHO, SO2 and tropospheric O3 with sufficient accuracy.

15. DISCUSSION
 Scale? Regional or Urban Area ? (Resolutions!!)
 Data? (RS data and Ground station) or (RS data) or (Ground station)
 Validating? (Ground measurement as Reference map) or (Land Use as Reference
map)

16. TNX FORYOUR ATTENTION