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The Role of Hyperspectral data in understanding the Global Carbon Cycle

AutorUstin, S. L.; Zarco-Tejada, Pablo J. ; Asner, G.
Palabras claveGlobal carbon cycle
Hyperespectral data
Fecha de publicación2001
ResumenA major challenge in predicting the consequences of global climate change is to accurately estimate carbon stocks and to predict future CO2 sequestration and dynamics (NRC, 1999). Climate dynamics and human activities drive changes in land cover and land use, creating unpredictable patterns of disturbance and environmental stresses in natural and managed ecosystems. These changes affect carbon storage, the distribution of carbon in above and below ground compartments, ecosystem productivity, and biogeochemical cycles. A wide range of information is needed to monitor the carbon cycle from properties that regulate fluxes of CO2, to estimates of standing biomass, land cover types, and land use history. Satellite observations provide the only practical means to obtain a synoptic view of the Earth's ecosystems, their spatial distribution, extent, and temporal dynamics.
DescripciónPresented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th - March 2nd, 2001
Aparece en las colecciones: (IAS) Comunicaciones congresos
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