%0 Journal Article %1 xiao_al2006 %A Xiao, Xiangming %A Hagen, Stephen %A Zhang, Qingyuan %A Keller, Michael %A III, Berrien Moore %D 2006 %J Remote Sensing of Environment %K SA phenology seasons %N 4 %P 465 - 473 %R 10.1016/j.rse.2006.04.013 %T Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal \MODIS\ images %U http://www.sciencedirect.com/science/article/pii/S0034425706001611 %V 103 %X Leaf phenology of tropical evergreen forests affects carbon and water fluxes. In an earlier study of a seasonally moist evergreen tropical forest site in the Amazon basin, time series data of Enhanced Vegetation Index (EVI) from the \VEGETATION\ and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors showed an unexpected seasonal pattern, with higher \EVI\ in the late dry season than in the wet season. In this study we conducted a regional-scale analysis of tropical evergreen forests in South America, using time series data of \EVI\ from \MODIS\ in 2002. The results show a large dynamic range and spatial variations of annual maximum \EVI\ for evergreen forest canopies in the region. In tropical evergreen forests, maximum \EVI\ in 2002 typically occurs during the late dry season to early wet season. This suggests that leaf phenology in tropical evergreen forests is not determined by the seasonality of precipitation. Instead, leaf phenological process may be driven by availability of solar radiation and/or avoidance of herbivory.

@article{xiao_al2006, abstract = {Leaf phenology of tropical evergreen forests affects carbon and water fluxes. In an earlier study of a seasonally moist evergreen tropical forest site in the Amazon basin, time series data of Enhanced Vegetation Index (EVI) from the \{VEGETATION\} and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors showed an unexpected seasonal pattern, with higher \{EVI\} in the late dry season than in the wet season. In this study we conducted a regional-scale analysis of tropical evergreen forests in South America, using time series data of \{EVI\} from \{MODIS\} in 2002. The results show a large dynamic range and spatial variations of annual maximum \{EVI\} for evergreen forest canopies in the region. In tropical evergreen forests, maximum \{EVI\} in 2002 typically occurs during the late dry season to early wet season. This suggests that leaf phenology in tropical evergreen forests is not determined by the seasonality of precipitation. Instead, leaf phenological process may be driven by availability of solar radiation and/or avoidance of herbivory. }, added-at = {2013-06-10T12:40:33.000+0200}, author = {Xiao, Xiangming and Hagen, Stephen and Zhang, Qingyuan and Keller, Michael and III, Berrien Moore}, biburl = {https://www.bibsonomy.org/bibtex/2f01b667ba5841fba6bc10da361629b85/noelia.lopez}, description = {ScienceDirect.com - Remote Sensing of Environment - Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images}, doi = {10.1016/j.rse.2006.04.013}, interhash = {6defb786c946dd9fb307bd47bb33fe31}, intrahash = {f01b667ba5841fba6bc10da361629b85}, issn = {0034-4257}, journal = {Remote Sensing of Environment }, keywords = {SA phenology seasons}, number = 4, pages = {465 - 473}, timestamp = {2013-06-11T10:44:39.000+0200}, title = {Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal \{MODIS\} images }, url = {http://www.sciencedirect.com/science/article/pii/S0034425706001611}, volume = 103, year = 2006 }