Details

Autor(en) / Beteiligte

• Fuentes, David A.
• Gamon, John A.
• Cheng, Yufu
• Claudio, Helen C.
• Qiu, Hong-lie
• Mao, Zhiyan
• Sims, Daniel A.
• Rahman, Abdullah F.
• Oechel, Walter
• Luo, Hongyan

Titel

Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS

Ist Teil von

• Remote sensing of environment, 2006-08, Vol.103 (3), p.312-323

Ort / Verlag

Elsevier Inc

Erscheinungsjahr

2006

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Using simple models derived from spectral reflectance, we mapped the patterns of ecosystem CO 2 and water fluxes in a semi-arid site in southern California during a period of extreme disturbance, marked by drought and fire. Employing a combination of low (∼ 2 km) and high (∼ 16 km) altitude images from the hyperspectral Airborne Visible Infrared Imaging Spectrometer (AVIRIS), acquired between April 2002 and September 2003, and ground data collected from an automated tram system, several vegetation indices were calculated for Sky Oaks field station, a FLUXNET and SpecNet site located in northern San Diego County (CA, USA). Based on the relationships observed between the fluxes measured by the eddy covariance tower and the vegetation indices, net CO 2 and water vapor flux maps were derived for the region around the flux tower. Despite differences in the scale of the images (from ∼ 2 m to 16 m pixel size) as well as marked differences in environmental conditions (drought in 2002, recovery in early 2003, and fire in mid 2003), net CO 2 and water flux modeled from AVIRIS-derived reflectance indices (NDVI, PRI and WBI) effectively tracked changes in tower fluxes across both drought and fire, and readily revealed spatial variation in fluxes within this landscape. After an initial period of net carbon uptake, drought and fire caused the ecosystem to lose carbon to the atmosphere during most of the study period. Our study shows the power of integrating optical and flux data in LUE models to better understand factors driving surface-atmosphere carbon and water vapor flux cycles, one of the main goals of SpecNet.