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Diversity of phenological patterns of Handroanthus ochraceus (Bignoniaceae) in Costa Rica
(Universidad de Costa Rica, 2019)
Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna
(2012-12-01)
Plant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. Digital cameras have been successfully used as multi-channel ...
Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna
(2012-12-01)
Plant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. Digital cameras have been successfully used as multi-channel ...
Phenology of Atlantic rain forest trees: A comparative study
(2001-01-01)
This paper describes the phenology of leaf, flower, and fruit phenology in the Atlantic rain forests of southeastern Brazil. For 17 months, we observed the phenological patterns of trees from two Atlantic forest types at ...
Phenology of Atlantic rain forest trees: A comparative study
(2001-01-01)
This paper describes the phenology of leaf, flower, and fruit phenology in the Atlantic rain forests of southeastern Brazil. For 17 months, we observed the phenological patterns of trees from two Atlantic forest types at ...
Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations
(2016-06-01)
Phenology research handles multifaceted information that needs to be organized and made promptly accessed by scientific community. We propose the conceptual design and implementation of a database to store, manage, and ...
Plant phenological research enhances ecological restoration
(2017-03-01)
While phenology data (the timing of recurring biological events) has been used to explain and predict patterns related to global change, and to address applied environmental issues, it has not been clearly identified as ...
Modeling Plant Phenology Database: Blending Near-surface Remote Phenology With On-the-ground Observations
(ELSEVIER SCIENCE BVAMSTERDAM, 2016)