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Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements

Remote Sensing of Environment, 2004
Abstract On global and regional scales, earth observation (EO)-based estimates of leaf area index (LAI) provide valuable input to climate and hydrologic modelling, while fraction of absorbed photosynthetically active radiation (fAPAR) is a key variable in the assessment of vegetation productivity and yield estimates. Validation of moderate resolution
Inge Sandholt   +2 more
exaly   +2 more sources

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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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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On the relationship between FAPAR and NDVI

Remote Sensing of Environment, 1994
Abstract The influence of pixel heterogeneity, background, atmospheric and bidirectional effects on the relationship between fraction of photosynthetically active radiation absorbed by the photosynthesizing tissue in a canopy (FAPAR) and normalized difference vegetation index (NDVI) is investigated using a three-dimensional model of radiation ...
R.B. Myneni, D.L. Williams
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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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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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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
openaire   +1 more source

Seasonality of albedo and FAPAR in a boreal forest

Agricultural and Forest Meteorology, 2017
Abstract Satellite data are continuously used to monitor albedo and fraction of absorbed photosynthetically active radiation (FAPAR), which are key components in determining the energy balance and productivity of forests. However, due to the mismatch between spatial resolution of the satellite data and forest stand size, coarse resolution satellite ...
Lukes, Petr   +3 more
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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
openaire   +1 more source

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