RGB image segmentation for quantitative bud flushing assessment in Norway spruce
Open Access
- 5 August 2026
- journal article
- Published by Elsevier in Ecological Informatics
- Vol. 98
Abstract
No abstract availableFunding Information
- Ministerstvo Školství, Mládeže a Tělovýchovy (LUAUS26002)
This publication has 37 references indexed in Scilit:
- Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruceThe Plant Genome, 2025
- The increasing role of drought as an inciting factor of bark beetle outbreaks can cause large-scale transformation of Central European forestsLandscape Ecology, 2025
- A comparison of PhenoCam and satellite indices with in-situ observations for black spruce in the boreal forest of Quebec, CanadaEcological Informatics, 2025
- Genetic variation and phenotypic plasticity in the seasonal shoot growth pattern of Pinus pseudostrobusNew Forests, 2024
- PhenoCam: An evolving, open-source tool to study the temporal and spatial variability of ecosystem-scale phenologyAgricultural and Forest Meteorology, 2023
- Fractional coverage rather than green chromatic coordinate is a robust indicator to track grassland phenology using smartphone photographyEcological Informatics, 2022
- Norway spruce at the trailing edge: the effect of landscape configuration and composition on climate resilienceLandscape Ecology, 2020
- Temperate and boreal forest tree phenology: from organ-scale processes to terrestrial ecosystem modelsAnnals of Forest Science, 2016
- Citizen science: best practices to remove observer bias in trend analysisInternational Journal of Biometeorology, 2014
- Digital repeat photography for phenological research in forest ecosystemsAgricultural and Forest Meteorology, 2012