Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies
Tropical leaf phenology—particularly its variability at the tree-crown scale—dominates the
seasonality of carbon and water fluxes. However, given enormous species diversity …
seasonality of carbon and water fluxes. However, given enormous species diversity …
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
In tropical forests, leaf phenology signals leaf-on/off status and exhibits considerable
variability across scales from a single tree-crown to the entire forest ecosystem. Such …
variability across scales from a single tree-crown to the entire forest ecosystem. Such …
Identifying leaf phenology of deciduous broadleaf forests from phenocam images using a convolutional neural network regression method
Vegetation phenology plays a key role in influencing ecosystem processes and biosphere-
atmosphere feedbacks. Digital cameras such as PhenoCam that monitor vegetation …
atmosphere feedbacks. Digital cameras such as PhenoCam that monitor vegetation …
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest
In tropical forests, leaf phenology—particularly the pronounced dry-season green-up—
strongly regulates biogeochemical cycles of carbon and water fluxes. However …
strongly regulates biogeochemical cycles of carbon and water fluxes. However …
Quantifying leaf phenology of individual trees and species in a tropical forest using unmanned aerial vehicle (UAV) images
Tropical forests exhibit complex but poorly understood patterns of leaf phenology.
Understanding species-and individual-level phenological patterns in tropical forests …
Understanding species-and individual-level phenological patterns in tropical forests …
Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep …
Detection of flowering and quantification of flowering phenology are key to monitoring the
reproduction of tropical trees and their response to global change. However, effective …
reproduction of tropical trees and their response to global change. However, effective …
Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests
HFP Veras, MP Ferreira, EM da Cunha Neto… - Ecological …, 2022 - Elsevier
Remote sensing images obtained by unoccupied aircraft systems (UAS) across different
seasons enabled capturing of species-specific phenological patterns of tropical trees. The …
seasons enabled capturing of species-specific phenological patterns of tropical trees. The …
Leafing patterns and drivers across seasonally dry tropical communities
Investigating the timing of key phenological events across environments with variable
seasonality is crucial to understand the drivers of ecosystem dynamics. Leaf production in …
seasonality is crucial to understand the drivers of ecosystem dynamics. Leaf production in …
Characterization of dry-season phenology in tropical forests by reconstructing cloud-free Landsat time series
Fine-resolution satellite imagery is needed for characterizing dry-season phenology in
tropical forests since many tropical forests are very spatially heterogeneous due to their …
tropical forests since many tropical forests are very spatially heterogeneous due to their …
Leveraging artificial intelligence for large-scale plant phenology studies from noisy time-lapse images
DLP Correia, W Bouachir, D Gervais… - IEEE …, 2020 - ieeexplore.ieee.org
Phenology has become a field of growing importance due to the increasingly apparent
impacts of climate change. However, the time-consuming, subjective and tedious nature of …
impacts of climate change. However, the time-consuming, subjective and tedious nature of …
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