Regional-scale carbon flux estimation using MODIS imagery

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dc.contributor.advisor Brown, Hugh J. (Hugh Joseph) en_US Cordova, Vicente D. en_US 2011-06-03T19:24:23Z 2011-06-03T19:24:23Z 2005 en_US 2005
dc.identifier LD2489.Z64 2005 .C67 en_US
dc.description.abstract The National Aeronautics and Space Agency NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) platform carried by Terra and Aqua satellites, is providing systematic measurements summarized in high quality, consistent and well-calibrated satellite images and datasets ranging from reflectance in the visible and near infrared bands to estimates of leaf area index, vegetation indices and biome productivity. The objective of this research was to relate the spectral responses and derived MODIS products of ecosystems, to biogeochemical processes and trends in their physiological variables. When different sources of data were compared, discrepancies between the MODIS variables and the corresponding ground measurements were evident. Uncertainties in the input variables of MODIS products algorithms, effects of cloud cover at the studied pixel, estimation algorithm, and local variation in land cover type are considered as the cause. A simple "continuous field" model based on a physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed great potential to track seasonally changing photosynthetic light use efficiency and stress-induced reduction in net primary productivity of terrestrial vegetation. The model explained 88% of the variability in Flux tower-based daily Net Primary Productivity. Also a high correlation between midday gross CO2 exchange with both daily and 8-day mean gross CO2 exchange, consistent across all the studied vegetation types, was found. Although it may not be possible to estimate 8-day mean Light Use Efficiency reliably from satellite data, Light Use Efficiency models may still be useful for estimation of midday values of gross CO2 exchange which could then be related to longer term means of CO2 exchange. In addition, the MODIS enhanced vegetation index shows a high potential for estimation of ecosystem gross primary production, using respiration values from MODIS surface temperature, providing truly per-pixel estimates. en_US
dc.description.sponsorship Department of Natural Resources and Environmental Management
dc.format.extent vi, 114 leaves : ill., col. maps ; 28 cm. en_US
dc.source Virtual Press en_US
dc.subject.lcsh Carbon cycle (Biogeochemistry) -- Remote sensing. en_US
dc.subject.lcsh Carbon cycle (Biogeochemistry) -- Mathematical models. en_US
dc.title Regional-scale carbon flux estimation using MODIS imagery en_US
dc.title.alternative Regional scale carbon flux estimation using Moderate Resolution Imaging Spectroradiometer imagery en_US Thesis (D. Ed.) en_US
dc.identifier.cardcat-url en_US

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  • Doctoral Dissertations [3121]
    Doctoral dissertations submitted to the Graduate School by Ball State University doctoral candidates in partial fulfillment of degree requirements.

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