Título:	The coexistence of trees, shrubs, and grasses creates a complex picture of land surface phenology in dry tropical ecosystems.
Autoria:	KOOLEN, S. P. GODLEE, J. L. ALBERTON, B. RAMOS, D. M. MOURA, M. S. B. de MORELLATO, L. P. C. DEXTER, K. G.
Afiliação:	STEPHANIE P. KOOLEN, UNIVERSITY OF OXFORD JOHN L. GODLEE, UNIVERSITY OF EDINBURGH BRUNA ALBERTON, SÃO PAULO STATE UNIVERSITY DESIRÉE MARQUES RAMOS, UNIVERSITY OF EDINBURGH MAGNA SOELMA BESERRA DE MOURA, CNPAT / CPATSA LEONOR PATRICIA C. MORELLATO, SÃO PAULO STATE UNIVERSITY KYLE G. DEXTER, UNIVERSITY OF EDINBURGH.
Ano de publicação:	2025
Referência:	Remote Sensing, v. 17, 2883, 2025.
Conteúdo:	The use of digital cameras to monitor vegetation phenology (phenocams) has become increasingly common as a means of ground truthing estimates of land surface phenology from Earth observation data. Whilst the relationship between phenocam and Earth Observation-derived indices of land surface phenology has been examined across many temperate land cover types, our understanding of these relationships across the seasonally dry tropics is limited. Here we examined phenological time series derived from coarse-scale MODIS and fine-scale phenocam data across four seasonally dry tropical sites in Brazil to determine their correlation and how phenological metrics derived from these time series differed. While MODIS-derived vegetation indices showed seasonal patterns, we found a poor correlation with vegetation indices from phenocams at sites with a high proportion of evergreen vegetation and a poor correlation of MODIS indices with specific vegetation components. The high spatial and temporal resolution of phenocams allowed us to demonstrate differences in phenological metrics among different components of the vegetation which were obscured in the coarser MODIS data. This study highlights the potential of phenocam data to improve our understanding of complex vegetation leaf phenology and its drivers within mixed tree–shrub–grass systems in the seasonally dry tropics. This could help improve the representation of the savanna, grass, and shrubland biomes within terrestrial biosphere models, and lead to better predictions of the impact of climate change on carbon dynamics via shifting vegetation phenology.
Thesagro:	Caatinga Cerrado Ecossistema Recurso Natural Sensoriamento Remoto
NAL Thesaurus:	Remote sensing Phenology
Palavras-chave:	Fenologia da superfície terrestre
Digital Object Identifier:	https://doi.org/ 10.3390/rs17162883
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CPATSA)