Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4697-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-4697-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SCOPE 2.0: a model to simulate vegetated land surface fluxes and satellite signals
Peiqi Yang
University of Twente, Faculty ITC, P.O. Box 217, 7500 AE Enschede, the Netherlands
Egor Prikaziuk
University of Twente, Faculty ITC, P.O. Box 217, 7500 AE Enschede, the Netherlands
Wout Verhoef
University of Twente, Faculty ITC, P.O. Box 217, 7500 AE Enschede, the Netherlands
Christiaan van der Tol
CORRESPONDING AUTHOR
University of Twente, Faculty ITC, P.O. Box 217, 7500 AE Enschede, the Netherlands
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- Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery A. Pascual-Venteo et al. 10.3390/rs16071211
- Comparing the quantum use efficiency of red and far-red sun-induced fluorescence at leaf and canopy under heat-drought stress S. Wieneke et al. 10.1016/j.rse.2024.114294
- Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data A. Duarte Rocha et al. 10.5194/hess-26-1111-2022
- The Impacts of Air Quality on Vegetation Health in Dense Urban Environments: A Ground-Based Hyperspectral Imaging Approach F. Qamar et al. 10.3390/rs14163854
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- Quantifying Thermal Infra-Red directional anisotropy using Master and Landsat-8 simultaneous acquisitions J. Michel et al. 10.1016/j.rse.2023.113765
- GriddingMachine, a database and software for Earth system modeling at global and regional scales Y. Wang et al. 10.1038/s41597-022-01346-x
- Defining Brightness-Shape-Moisture Soil Parameters for Southern Africa From Hyperion Hyperspectral Imagery W. Bonnet et al. 10.1109/TGRS.2024.3446246
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. 10.1038/s43017-024-00601-6
- River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. 10.3390/rs15092324
- Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves Z. Zhang et al. 10.1016/j.agrformet.2023.109658
- Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. 10.1029/2022JG007074
- Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data J. García-Soria et al. 10.1016/j.rse.2024.114228
- Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
- Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery A. Belwalkar et al. 10.1016/j.jag.2024.104198
- Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest J. Chen et al. 10.3390/rs13163143
- Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence N. Wang et al. 10.1016/j.rse.2022.113445
- Enhanced cotton chlorophyll content estimation with UAV multispectral and LiDAR constrained SCOPE model P. Yan et al. 10.1016/j.jag.2024.104052
- Exploring the interrelated effects of soil background, canopy structure and sun-observer geometry on canopy photochemical reflectance index P. Yang 10.1016/j.rse.2022.113133
- Using the diurnal variation characteristics of effective quantum yield of PSII photochemistry for drought stress detection in maize Z. Chen et al. 10.1016/j.ecolind.2022.108842
- Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning V. Döpper et al. 10.1016/j.jag.2022.102817
- Contrasting photoprotective responses of forest trees revealed using PRI light responses sampled with airborne imaging spectrometry J. Gamon et al. 10.1111/nph.18754
- Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets Z. Unnisa et al. 10.3390/app14177685
- Exploring the Potential of SCOPE Model for Detection of Leaf Area Index and Sun-Induced Fluorescence of Peatland Canopy A. Rastogi et al. 10.3390/rs14164010
- Retrieval of chlorophyll fluorescence from a large distance using oxygen absorption bands C. van der Tol et al. 10.1016/j.rse.2022.113304
- The roles of radiative, structural and physiological information of sun-induced chlorophyll fluorescence in predicting gross primary production of a corn crop at various temporal scales P. Yang et al. 10.1016/j.agrformet.2023.109720
- Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. 10.1029/2021MS002747
- Assessing the Potential of Downscaled Far Red Solar-Induced Chlorophyll Fluorescence from the Canopy to Leaf Level for Drought Monitoring in Winter Wheat J. Lin et al. 10.3390/rs14061357
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- Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model E. Tang et al. 10.5194/bg-21-893-2024
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- Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing F. Qamar & G. Dobler 10.1186/s13007-023-01046-6
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- Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects L. Wan et al. 10.1016/j.rse.2024.114048
- Coupled WOFOST and SCOPE model for remote sensing-based crop growth simulations G. Ntakos et al. 10.1016/j.compag.2024.109238
- Enhanced observations from an optimized soil-canopy-photosynthesis and energy flux model revealed evapotranspiration-shading cooling dynamics of urban vegetation during extreme heat Z. Yu et al. 10.1016/j.rse.2024.114098
- Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies E. Chakhvashvili et al. 10.1007/s11119-024-10168-3
- Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review K. Berger et al. 10.1016/j.rse.2022.113198
- Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise J. Pacheco-Labrador et al. 10.1080/01431161.2024.2414435
- Exploring vegetation chlorophyll fluorescence with leaf dorsiventrality H. Shi 10.1016/j.rse.2024.114342
- The effect of temperature on photosystem II efficiency across plant functional types and climate P. Neri et al. 10.5194/bg-21-2731-2024
3 citations as recorded by crossref.
- Unprivileged groups are less served by green cooling services in major European urban areas A. Rocha et al. 10.1038/s44284-024-00077-x
- Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science A. Porcar-Castell et al. 10.1038/s41477-021-00980-4
- Mapping evapotranspirative and radiative cooling services in an urban environment A. Rocha et al. 10.1016/j.scs.2022.104051
Latest update: 04 Nov 2024
Short summary
Since the first publication 12 years ago, the SCOPE model has been applied in remote sensing studies of solar-induced chlorophyll fluorescence (SIF), energy balance fluxes, gross primary productivity (GPP), and directional thermal signals. Here, we present a thoroughly revised version, SCOPE 2.0, which features a number of new elements.
Since the first publication 12 years ago, the SCOPE model has been applied in remote sensing...