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Scaling Transform Method for Remotely Sensed FAPAR Based on FAPAR-P Model
IEEE Geoscience and Remote Sensing Letters, 2015Climate 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 ...
null Lu Wang +3 more
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Validation of the operational MERIS FAPAR
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007This 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, 2007Abstract 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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Crop type mapping and LAI, fAPAR, and fCover prediction in winter wheat fields with Sentinel-2 data
International Conference on Remote Sensing and Geoinformation of Environment, 2023The aim of this study is to map winter wheat fields in designated study area in Bulgaria and to analyze the spatial variation of various biophysical parameters of winter wheat crops in these fields using multispectral satellite imagery.
I. Kamenova
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A new FAPAR retrieval model for continuous vegetation
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013The 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 +3 more
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2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2023
High-resolution Forest biophysical parameter estimation is crucial to understand forest structural and functional variability. Moreover, mapping high-resolution biophysical products is significant to capture accurate forest carbon fluxes and understand ...
S. Bandopadhyay +5 more
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High-resolution Forest biophysical parameter estimation is crucial to understand forest structural and functional variability. Moreover, mapping high-resolution biophysical products is significant to capture accurate forest carbon fluxes and understand ...
S. Bandopadhyay +5 more
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Estimation of canopy fAPAR using optical reflectance and airborne LiDAR data
Remote Sensing of EnvironmentDalei Han +6 more
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A model for instantaneous FAPAR retrieval: Theory and validation
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009The 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 +6 more
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Seasonality of albedo and FAPAR in a boreal forest
Agricultural and Forest Meteorology, 2017Abstract 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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Monitoring FAPAR over land surfaces with remote sensing data
SPIE Proceedings, 2004Temporal changes of terrestrial vegetation have traditionally been monitored using empirical remote sensing tools, which are sensitive to perturbations as well as to the spectral properties of the sensor. Advances in the understanding of radiation transfer theory, and the availability of higher performance modern instruments, have led to the ...
Nadine Gobron +5 more
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