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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 ...
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 ...
Modeling Plant Phenology Database: Blending Near-surface Remote Phenology With On-the-ground Observations
(ELSEVIER SCIENCE BVAMSTERDAM, 2016)
Deriving vegetation indices for phenology analysis using genetic programming
(Elsevier B.V., 2015-03-01)
Plant phenology studies recurrent plant life cycle events and is a key component for understanding the impact of climate change. To increase accuracy of observations, new technologies have been applied for phenological ...
Land Surface Phenology in the Tropics: The Role of Climate and Topography in a Snow-Free Mountain
(2017-12-01)
Leaf phenology represents a major temporal component of ecosystem functioning, and understanding the drivers of seasonal variation in phenology is essential to understand plant responses to climate change. We assessed the ...
Modeling Plant Phenology Database: Blending Near-surface Remote Phenology With On-the-ground Observations
(Elsevier Science BVAmsterdam, 2016)