This poster was presented at the 2006 American Society of Limnology and Oceanography (ASLO) Summer Meeting, held in Victoria, BC, Canada from the 4th to the 9th of June. It was also awarded “Outstanding Poster Presentation” at the same conference.
RADAR REMOTE SENSING AS A TOOL TO ASSESS THE SEASONAL DYNAMICS OF MACROPHYTE COMMUNITIES IN THE AMAZON RIVER FLOODPLAIN
Silva, T. S. F., University of Victoria, Victoria, Canada.
Costa, M. P. F., University of Victoria, Victoria, Canada.
Melack, J. M., University of California at Santa Barbara, Santa Barbara, USA.
The Amazon floodplain participates significantly in the global carbon cycle. Macrophyte communities in this region display high productivity, rapid biomass turnover and the highest values of methane emission, representing a key element in the regional carbon balance. Their extent and inaccessibility, however, hinder the assessment of plant growth dynamics. Radar remote sensing presents a valuable tool in these conditions, allowing monthly spatial data acquisition. Radar backscatter is associated with plant structural characteristics, and radar imagery has been used with success to estimate cover and biomass of plant stands. For the present study, monthly Radarsat and Envisat ASAR imagery were acquired from December/03 to November/04, together with plant biomass field data. Variation in macrophyte radar backscatter corresponded to the seasonal pattern of water level variation, which in turn determines macrophyte growth patterns. Biomass and backscatter relationship is being further evaluated, in order to utilize image classification and modelling techniques to estimate macrophyte cover, stand biomass and productivity. This knowledge is essential in order to improve the accuracy of current ecosystem models and carbon emission and cycling estimates in the Amazon floodplain.
TS-C07 TS-B03 TS-C04