Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-2077-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2077-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
Anne J. Hoek van Dijke
CORRESPONDING AUTHOR
Environmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands
Kaniska Mallick
Environmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Martin Schlerf
Environmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Miriam Machwitz
Environmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Sibylle K. Hassler
Institute of Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Theresa Blume
Hydrology Section, GFZ German Research Centre for Geosciences, Potsdam, Germany
Martin Herold
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands
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Cited
11 citations as recorded by crossref.
- The Grass Is Not Always Greener on the Other Side: Seasonal Reversal of Vegetation Greenness in Aspect‐Driven Semiarid Ecosystems N. Kumari et al. 10.1029/2020GL088918
- Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach V. Douna et al. 10.1016/j.jaridenv.2021.104513
- Tendencia anual, anomalías y predicción del comportamiento de cobertura de vegetación con imágenes Landsat y MOD13Q1, microcuenca Apacheta, Región Ayacucho W. Moncada et al. 10.4995/raet.2022.15672
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Comparing forest and grassland drought responses inferred from eddy covariance and Earth observation A. Hoek van Dijke et al. 10.1016/j.agrformet.2023.109635
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
- Evapotranspiration over a processing cassava field: a comparative analysis of micrometeorological methods and remote sensing N. da Silva et al. 10.1007/s00704-024-05008-3
- Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data A. Hoek van Dijke et al. 10.5194/bg-17-4443-2020
- Rapid Urbanization and Agricultural Intensification Increase Regional Evaporative Water Consumption of the Loess Plateau W. Liang et al. 10.1029/2020JD033380
- Progressive enrichment in 18O and 2H in xylem water along sap flow paths in Fagus sylvatica trees A. Montemagno et al. 10.1002/eco.2582
- Interannual variations of normalized difference vegetation index and potential evapotranspiration and their relationship in the Baghdad area M. Ahmed et al. 10.1515/opag-2022-0386
10 citations as recorded by crossref.
- The Grass Is Not Always Greener on the Other Side: Seasonal Reversal of Vegetation Greenness in Aspect‐Driven Semiarid Ecosystems N. Kumari et al. 10.1029/2020GL088918
- Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach V. Douna et al. 10.1016/j.jaridenv.2021.104513
- Tendencia anual, anomalías y predicción del comportamiento de cobertura de vegetación con imágenes Landsat y MOD13Q1, microcuenca Apacheta, Región Ayacucho W. Moncada et al. 10.4995/raet.2022.15672
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Comparing forest and grassland drought responses inferred from eddy covariance and Earth observation A. Hoek van Dijke et al. 10.1016/j.agrformet.2023.109635
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
- Evapotranspiration over a processing cassava field: a comparative analysis of micrometeorological methods and remote sensing N. da Silva et al. 10.1007/s00704-024-05008-3
- Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data A. Hoek van Dijke et al. 10.5194/bg-17-4443-2020
- Rapid Urbanization and Agricultural Intensification Increase Regional Evaporative Water Consumption of the Loess Plateau W. Liang et al. 10.1029/2020JD033380
- Progressive enrichment in 18O and 2H in xylem water along sap flow paths in Fagus sylvatica trees A. Montemagno et al. 10.1002/eco.2582
Latest update: 23 Nov 2024
Short summary
Satellite images are often used to estimate land water fluxes over a larger area. In this study, we investigate the link between a well-known vegetation index derived from satellite data and sap velocity, in a temperate forest in Luxembourg. We show that the link between the vegetation index and transpiration is not constant. Therefore we suggest that the use of vegetation indices to predict transpiration should be limited to ecosystems and scales where the link has been confirmed.
Satellite images are often used to estimate land water fluxes over a larger area. In this study,...