Results 21 to 30 of about 544 (160)

Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Gross primary productivity (GPP) is a measure of carbon uptake by terrestrial ecosystems for carbon neutrality and serves as a key indicator for the Sustainable Development Goals. The instantaneous Fraction of Absorbed Photosynthetically Active Radiation
Yinghui Zhang   +6 more
doaj   +1 more source

Ensemble Machine Learning Prediction of Potential FAPAR: Monthly time-series 2021 and Long-Term Comparison with Actual FAPAR

open access: yes, 2023
General Description The dataset contains composites at 250 m spatial resolution of (1) monthly potential FAPAR for the year 2021 from ensemble ML model predictions, (2) the model deviance for each prediction, (3) the yearly average of potential FAPAR, (4) the yearly average of actual FAPAR and (5) the yearly average of the difference between actual and
Julia Hackländer;   +3 more
openaire   +5 more sources

Machine learning approaches for estimation of the fraction of absorbed photosynthetically active radiation and net photosynthesis rate of maize using multi-spectral sensor. [PDF]

open access: yesHeliyon
The fraction of absorbed photosynthetically active radiation (FAPAR) and the photosynthesis rate (Pn) of maize canopies were identified as essential photosynthetic parameters for accurately estimating vegetation growth and productivity using ...
Parida PK   +6 more
europepmc   +2 more sources

Retrieval of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) from VIIRS Time-Series Data

open access: yesRemote Sensing, 2016
Long-term high-quality global leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR) products are urgently needed for the study of global change, climate modeling, and many other problems.
Zhiqiang Xiao   +3 more
doaj   +1 more source

Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data

open access: yesRemote Sensing, 2020
Accurate and reliable estimation of gross primary productivity (GPP) is of great significance in monitoring global carbon cycles. The fraction of absorbed photosynthetically active radiation (FAPAR) and vegetation index products of the Moderate ...
Zhijiang Zhang, Lin Zhao, Aiwen Lin
doaj   +1 more source

Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
The fraction of absorbed photosynthetically active radiation (fAPAR) is a critical biophysical parameter for crop growth monitoring and yield estimation.
Zhengang Lv   +8 more
doaj   +1 more source

Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana [PDF]

open access: yesBiogeosciences, 2013
Terrestrial productivity in semi-arid woodlands is strongly susceptible to changes in precipitation, and semi-arid woodlands constitute an important element of the global water and carbon cycles.
T. Kato   +6 more
doaj   +1 more source

Improvement of FAPAR Estimation Under the Presence of Non-Green Vegetation Considering Fractional Vegetation Coverage

open access: yesRemote Sensing
The homogeneous turbid medium assumption inherent to the Beer-Lambert’s law can lead to a reduction in the shading effect between leaves when non-green vegetation canopies are present, resulting in an overestimation of the fraction of absorbed ...
Rui Li   +10 more
doaj   +1 more source

Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation

open access: yesRemote Sensing, 2019
The fraction of absorbed photosynthetically active radiation by vegetation (FAPAR) is a key variable in describing the light absorption ability of the vegetation canopy.
Liangyun Liu   +6 more
doaj   +1 more source

Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria

open access: yesEuropean Journal of Remote Sensing, 2021
The red-edge bands of Sentinel-2 allow for a greater diversity of spectral Vegetation Indices (VIs) to be calculated and used for vegetation characterization.
Ilina Kamenova, Petar Dimitrov
doaj   +1 more source

Home - About - Disclaimer - Privacy