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TitleRelationship between satellite-derived vegetation indices and aircraft-based CO2 measurements
 
AuthorCihlar, J; Caramori, P; Scnuepp, P H; Desjardins, R; MacPherson, J
SourceJournal of Geophysical Research vol. 97, issue D17, 1992 p. 18515-18521, https://doi.org/10.1029/92jd00655
Image
Year1992
Alt SeriesEarth Sciences Sector, Contribution Series 20041095
Alt SeriesRESORS 1091075
PublisherWiley-Blackwell
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
AreaManhattan; Salina; Konza prairie; United States of America
Lat/Long WENS -97.5000 -96.5000 39.0000 38.0000
SubjectsScience and Technology; spectral ratios; remote sensing; satellites; satellite imagery; vegetation; International Satellite Land Surface Climatology Project (ISLSCP); Field Experiment (FIFE); Simple Ratio (SR); advanced very high resolution radiometer (AVHRR); Normalized Difference Vegetation Index (NDVI); net photosynthesis
Illustrationsgraphs; location maps; tables; formulae
Released1992 01 01
AbstractThe objective of this study was to analyze the relationship between satellite-derived vegetation indices and CO2 uptake, as an initial step in exploring the possibility of using a satellite-derived vegetation index as a measure of net photosynthesis. The study area included the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) site located on the Konza prairie and adjacent area as well as a transect between Manhattan and Salina. One third of the transect exhibited vegetation and terrain characteristics similar to those on the FIFE site, whereas cultivated land predominated in the remaining portion of the 75-km-long flight line. In June, July, August, and October 1987, several CO2 data sets were obtained using the National Research Council of Canada's Twin Otter research aircraft. The normalized difference vegetation index (NDVI) and the simple ratio (SR) were computed from NOAA advanced very high resolution radiometer (AVHRR) data acquired as part of FIFE. Aircraft and satellite data were processed to obtain spatially coincident and locally representative flux values. Results show a linear relationship between NDVI and CO2 uptake during a single day; however, a nonlinear relationship emerged when all data sets were combined. The data from FIFE and the regional transect were consistent for one date but differed for other periods. Overall, about 60% of total variability in CO2 flux was accounted for by the NDVI and 74% by the SR.
GEOSCAN ID217897

 
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