|To monitor significant land use / land cover changes within Atlanta form
mid-1970's to 1997 using remote sensing data.
||1. Change-detection from Landsat MSS and TM data.
2. Land surface temperature change mapping using Landsat data.
3. Temporal NDVI analysis of Landsat and AVHRR data.
- Landsat MSS
- Landsat TM
|To understand how to use remote sensing data obtained from various sensors
and at various scales in climatological and meteorological models for evaluating
impacts of urban land use/land cover change on land-atmosphere interactions.
||1. Estimation of soil moisture and vegetative cover by "Triangle"
2. Linkage of remote sensing data with temporal changes in urban land cover
and observed climatic data.
3. Determination of albedo, surface temperature, thermal inertia and soil
moisture from satellite data.
4. Analysis of effects of clouds on the urban climate.
5. Quantification of urban surface energy fluxes from aircraft remote sensing
- MAS (Airborne)
- ATLAS (Airborne)
|To know how to use remote sensing and in situ data to initialize and enhance
climatological and meteorological models for evaluating future impacts of
urban land use / land cover change on land-atmosphere interactions over
Atlanta metropolitan area.
||1. Vegetative surface cover modeling.
2. Cloud modeling.
3. Meteorological and photochemical modeling.