Results 21 to 30 of about 493 (122)

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

Scaling of FAPAR from the Field to the Satellite

open access: yesRemote Sensing, 2016
The fraction of absorbed photosynthetically active radiation (FAPAR) is a critical biophysical parameter in eco-environmental studies. Scaling of FAPAR from the field observation to the satellite pixel is essential for validating remote sensing FAPAR ...
Yiting Wang   +5 more
doaj   +1 more source

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

MERIS GPP/NPP product for Estonia: II. Complex meteorological limiting factor and optimum leaf area index / MERIS’e GPP/NPP tulem Eesti jaoks: II. Kompleksne meteoroloogiline piirangutegur ja optimaalne lehepinnaindeks

open access: yesMetsanduslikud Uurimused, 2014
The merits and possible problems of the light use efficiency-concept based GPP/NPP models applied together with satellite images and meteorological data to quantitatively understand the role of different meteorological factors in forest productivity are ...
Nilson Tiit, Rennel Mattias, Lang Mait
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

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