Full text: XIXth congress (Part B7,1)

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5 CONCLUSION - RELEVANCE TO THE KYOTO PROTOCOL 
The high spatial resolution radiance calibrated map of the nighttime lights of the world and the depiction of trace gas 
emissions from fossil fuel consumption has two primary applications relevant to the Kyoto Protocol: 
5.1 Inverse modeling to estimate the magnitude of regional land-atmosphere and ocean-atmosphere fluxes. 
Because nearly the entire Earth surface can exchange carbon with the atmosphere, it is quite difficult to make reliable 
measurements of the carbon fluxes between major reservoirs. For example, how is it possible to estimate the annual 
quantity of carbon absorbed by the land surface in the United States? The approach that has been developed to estimate 
these fluxes is to analyze continuous observations of trace gas concentrations from networks of sites which integrate 
regional carbon fluxes. These measurements come from tall towers, high altitude observatories, aircraft and sea surface 
sites. The measurements document the spatial and temporal distributions of carbon gases. The magnitude of sources 
and sinks are estimated using a process known as "inverse modeling". At present, only a small number of independent 
source/sink components can be reliably estimated by inverse analysis and only at the largest spatial scales (e.g. Northern 
Hemisphere). A major limitation of current inverse modeling is that source inputs do not include the fine spatial and 
temporal detail known to be present in the pattern of fossil fuel consumption. For instance, current modeling of annual 
trace gas emissions from fossil fuel combustion are simply based on national statistics on the consumption of various 
types of fossil fuel products. In actuality, trace gas emissions associated with fossil fuel combustion are concentrated at 
major point sources (such as electric power plants) and in the vicinity of human population centers. Incorporation of a 
high spatial resolution depiction of trace gas emissions from these sources is expected to lead to major improvements in 
the spatial resolution and accuracy of current inverse modeling efforts. 
5.2 Evaluating the Validity of National Trace Gas Emission Estimates. Under the United Nations Framework 
Convention on Climate Change and the Kyoto Protocol nations of the world are beginning to report their annual trace 
gas emissions and setting targets for stabilization or reduction in their emissions. Independent methods for evaluating 
the magnitude of emissions and changes in emissions are crucial to the success of any international agreements. If it 
cannot be demonstrated that the nationally reported emissions can be confirmed and validated by independent means the 
agreements may never be ratified. Preliminary evidence suggests that it is possible to evaluate the veracity of national 
emission estimates by searching for outliers in comparisons of OLS derived cumulative radiances versus reported 
emissions. within clusters of countries having comparable levels of economic development. 
ACKNOWLEDGMENTS 
The authors gratefully acknowledge the U.S. Air Force, Defense Meteorological Satellite Program (DMSP) and the Air 
Force Weather Agency for their cooperation in the acquisition of the reduced gain OLS data used in this study. This 
research was supported in part by the NASA EOS Interdiciplinary Science (IDS) Project: Assessing the Impact of 
Expanding Urban Land Use on Agricultural Productivity Using Remote Sensing Data and Physically-Based Soil 
Productivity Models. 
REFERENCES 
Elvidge, C.D., Baugh, K.E., Kihn, E.A., Kroehl, H.W., Davis, E.R., 1997. Mapping of city lights using DMSP 
Operational Linescan System data. Photogrammetric Engineering and Remote Sensing, v. 63, pp. 727-734. 
Elvidge,C.D., Baugh, K.E., Dietz, J.B., Bland, T., Sutton, P.C., Kroehl, H.W. 1999. Radiance calibration of DMSP- 
OLS low-light imaging data of human settlements. Remote Sensing of Environment, v. 68, pp. 77-88. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 401 
 
	        
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