The coexistence of trees, shrubs, and grasses creates a complex picture of land surface phenology in dry tropical ecosystems.

Vista sencilla de ítem
dc.contributorSTEPHANIE P. KOOLEN, UNIVERSITY OF OXFORD
dc.contributorJOHN L. GODLEE, UNIVERSITY OF EDINBURGH
dc.contributorBRUNA ALBERTON, SÃO PAULO STATE UNIVERSITY
dc.contributorDESIRÉE MARQUES RAMOS, UNIVERSITY OF EDINBURGH
dc.contributorMAGNA SOELMA BESERRA DE MOURA, CNPAT / CPATSA
dc.contributorLEONOR PATRICIA C. MORELLATO, SÃO PAULO STATE UNIVERSITY
dc.contributorKYLE G. DEXTER, UNIVERSITY OF EDINBURGH.
dc.creatorKOOLEN, S. P.
dc.creatorGODLEE, J. L.
dc.creatorALBERTON, B.
dc.creatorRAMOS, D. M.
dc.creatorMOURA, M. S. B. de
dc.creatorMORELLATO, L. P. C.
dc.creatorDEXTER, K. G.
dc.date2026-03-12T13:57:00Z
dc.date2026-03-12T13:57:00Z
dc.date2026-03-12
dc.date2025
dc.date.accessioned2026-07-07T06:01:40Z
dc.descriptionThe 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.
dc.identifierRemote Sensing, v. 17, 2883, 2025.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1185327
dc.identifierhttps://doi.org/ 10.3390/rs17162883
dc.identifier.urihttp://hdl.handle.net/123456789/504715
dc.languageeng
dc.rightsopenAccess
dc.subjectFenologia da superfície terrestre
dc.subjectCaatinga
dc.subjectCerrado
dc.subjectEcossistema
dc.subjectRecurso Natural
dc.subjectSensoriamento Remoto
dc.subjectRemote sensing
dc.subjectPhenology
dc.titleThe coexistence of trees, shrubs, and grasses creates a complex picture of land surface phenology in dry tropical ecosystems.
dc.typeArtigo de periódico

Archivos

Colecciones

Embrapa Semi-Árido (CPATSA)