ArticleRemote sensing of environment2019
Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline.
Article in Remote sensing of environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- An Analysis of the Early Responses to Low-Temperature Stress in Oil Palm Using Integrative Physiology and Proteomics.International journal of molecular sciences · 2026Article
- Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images.iScience · 2026Article
- Artificial intelligence to evaluate the impact of urban green and blue spaces on chlorophyll-a concentrations.Environmental science and pollution research international · 2025Article
- Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery.Plant phenomics (Washington, D.C.) · 2025Article
- Responses of stem growth and canopy greenness of temperate conifers to dry spells.International journal of biometeorology · 2024Article
- Scattered tree death contributes to substantial forest loss in California.Nature communications · 2024Article
- Rapid and Nondestructive Evaluation of Wheat Chlorophyll under Drought Stress Using Hyperspectral Imaging.International journal of molecular sciences · 2023Article
- Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms.Frontiers in plant science · 2023Article
- Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet+.Sensors (Basel, Switzerland) · 2022Article
- Analysis of Biophysical Variables in an Onion Crop (Agronomy (Basel, Switzerland) · 2022Article
- Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery.Frontiers in plant science · 2022Article
- Heritable Variation of Foliar Spectral Reflectance Enhances Genomic Prediction of Hydrogen Cyanide in a Genetically Structured Population ofFrontiers in plant science · 2022Article
- Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors.Frontiers in plant science · 2022Article
- A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages.Plant methods · 2020Article
- Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of Sentinel-2, it is now possible to generate large-scale chlorophyll content maps with unprecedented spatial and temporal resolution, suitable for monitoring ecological processes such as vegetative stress and/or decline. However methodological gaps exist for adapting this technology to heterogeneous natural vegetation and for transferring it among vegetation species or plan functional types. In this study, we investigated the use of Sentinel-2A imagery for estimating needle chlorophyll (C
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