Results 11 to 20 of about 1,783 (172)
Scaling of FAPAR from the Field to the Satellite [PDF]
Remote 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
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Scaling Transform Method for Remotely Sensed FAPAR Based on FAPAR-P Model
IEEE Geoscience and Remote Sensing Letters, 2015 Climate and land–atmosphere models rely on accurate land-surface parameters, such as the fraction of absorbed photosynthetically active radiation (FAPAR). It is known that FAPAR values retrieved from remote-sensing images suffer from scaling effects. Scaling transformation aims to derive accurate FAPAR values at a specific scale from values at other ...
Lu Wang +3 more
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Generating high spatial resolution GLASS FAPAR product from Landsat images
Science of Remote Sensing, 2022 The fraction of absorbed photosynthetically active radiation (FAPAR) is an essential biophysical variable for monitoring vegetation growth and quantitatively describing the efficiency of light absorption by vegetation.
Huaan Jin +6 more
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Validation of the operational MERIS FAPAR
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007 This paper discusses the validation of the operational Medium Resolution Imaging Spectrometer (MERIS) land product which corresponds to the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). This biophysical variable acts as an indicator of the presence and state of the vegetation and it is currently estimated from MERIS data at both ...
Nadine Gobron +6 more
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Evaluation of the MERIS/ENVISAT FAPAR product
Advances in Space Research, 2007 Abstract This paper describes the evaluation and performance of the Medium Resolution Imaging Spectrometer (MERIS) Global Vegetation Index (MGVI) algorithm that is implemented in the MERIS ground segment as the primary land surface product. MGVI output values represent the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) which acts as
Nadine Gobron +6 more
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Measuring and modelling fAPAR for satellite product validation [PDF]
, 2023 This thesis presents a comprehensive approach to satellite Fraction of Absorbed Photosynthetically Active Radiation (fAPAR) product validation. This draws on 3D radiative transfer modelling and metrology to characterise the biases associated with a ...
Origo, Niall Joseph
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Validation of MODIS FAPAR products in Hulunber grassland of China
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010 Fraction of absorbed photosynthetically active radiation (FAPAR) is one of key variables required in modeling primary production and global climate. FAPAR can be derived from satellite images, for example the MODIS FAPAR. However, validation of the product is a prerequisite for using it to estimate local net primary production (NPP).
Gang Li +6 more
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A new FAPAR retrieval model for continuous vegetation
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013 The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is the fraction of incoming solar radiation that is absorbed by green vegetation in the spectral range from 400 nm to 700 nm. FAPAR reflects the energy absorption ability of vegetation canopy.
Yuan Liu 0016 +3 more
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International 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
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A model for instantaneous FAPAR retrieval: Theory and validation
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009 The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a critical input parameter to many climate and ecological models. Its calculation accuracy from remote sensing images directly influences the estimation of net primary productivity (NPP) and carbon cycle. This paper presents a hybrid model combining the characteristics of geometric
Xin Tao 0002 +6 more
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