Found: 15
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Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest.
- Published in:
- Global Change Biology, 2018, v. 24, n. 7, p. 2980, doi. 10.1111/gcb.14097
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- Article
Dynamics of sun‐induced chlorophyll fluorescence and reflectance to detect stress‐induced variations in canopy photosynthesis.
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- Plant, Cell & Environment, 2020, v. 43, n. 7, p. 1637, doi. 10.1111/pce.13754
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- Article
Leaf and canopy photosynthesis of a chlorophyll deficient soybean mutant.
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- Plant, Cell & Environment, 2018, v. 41, n. 6, p. 1427, doi. 10.1111/pce.13180
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- Article
OLCI-A/B tandem phase: evaluation of FLuorescence EXplorer (FLEX)-like radiances and estimation of systematic differences between OLCI-A and OLCI-FLEX.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 12, p. 3101, doi. 10.5194/amt-16-3101-2023
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- Article
Green Plants in the Red: A Baseline Global Assessment for the IUCN Sampled Red List Index for Plants.
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- PLoS ONE, 2015, v. 10, n. 8, p. 1, doi. 10.1371/journal.pone.0135152
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- Article
Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale.
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- Remote Sensing, 2023, v. 15, n. 19, p. 4835, doi. 10.3390/rs15194835
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- Article
Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products.
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- Remote Sensing, 2022, v. 14, n. 20, p. 5107, doi. 10.3390/rs14205107
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- Article
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art.
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- Remote Sensing, 2020, v. 12, n. 10, p. 1624, doi. 10.3390/rs12101624
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- Article
Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions.
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- Remote Sensing, 2020, v. 12, n. 3, p. 514, doi. 10.3390/rs12030514
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- Article
The High-Performance Airborne Imaging Spectrometer HyPlant—From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2760, doi. 10.3390/rs11232760
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- Article
A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance.
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- Remote Sensing, 2019, v. 11, n. 16, p. 1840, doi. 10.3390/rs11161840
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- Article
Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types.
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- Remote Sensing, 2019, v. 11, n. 14, p. 1691, doi. 10.3390/rs11141691
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- Article
Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing.
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- Remote Sensing, 2019, v. 11, n. 8, p. 962, doi. 10.3390/rs11080962
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- Article
Characterisation of reflectance and chlorophyll fluorescence anisotropy - defining requirements for an experimental setup.
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- Geophysical Research Abstracts, 2018, v. 20, p. 7012
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- Article
CHIME: A COPERNICUS HYPERSPECTRAL IMAGING MISSION FOR THE ENVIRONMENT.
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- Revue Francaise de Photogrammetrie et de Teledetection, 2022, v. 224, n. 1, p. 5, doi. 10.52638/rfpt.2022.619
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- Article