Biophysical parameters mapping within the SPOT-5 Take 5 initiative

Biophysical parameters mapping within the SPOT-5 Take 5 initiative

Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High...

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Bibliographic Details
Main Authors: Andrii Shelestov, Andrii Kolotii, Sergii Skakun, Bettina Baruth, Raul Lopez Lozano, Bohdan Yailymov
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
LAI
FAPAR
biophysical parameters
SPOT-5
regression modeling
machine learning
Online Access:http://dx.doi.org/10.1080/22797254.2017.1324743
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spelling doaj-889cce2fc0e64f268a5bb181f1b5276f2020-11-24T21:44:31ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542017-01-0150130030910.1080/22797254.2017.13247431324743Biophysical parameters mapping within the SPOT-5 Take 5 initiativeAndrii Shelestov0Andrii Kolotii1Sergii Skakun2Bettina Baruth3Raul Lopez Lozano4Bohdan Yailymov5Space Research Institute NAS Ukraine & SSA UkraineSpace Research Institute NAS Ukraine & SSA UkraineUniversity of MarylandInstitute for Environment and Sustainability of EC JRC, MARS UnitInstitute for Environment and Sustainability of EC JRC, MARS UnitSpace Research Institute NAS Ukraine & SSA UkraineLeaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High temporal satellite imagery is usually required to capture main parameters of crop growth. In this paper, we assess efficiency of using satellite images at high spatial and temporal resolution acquired within the SPOT-5 Take 5 initiative for mapping biophysical parameters.http://dx.doi.org/10.1080/22797254.2017.1324743LAIFAPARbiophysical parametersSPOT-5regression modelingmachine learning
collection DOAJ
language English
format Article
sources DOAJ
author Andrii Shelestov
Andrii Kolotii
Sergii Skakun
Bettina Baruth
Raul Lopez Lozano
Bohdan Yailymov
spellingShingle Andrii Shelestov
Andrii Kolotii
Sergii Skakun
Bettina Baruth
Raul Lopez Lozano
Bohdan Yailymov
Biophysical parameters mapping within the SPOT-5 Take 5 initiative
European Journal of Remote Sensing
LAI
FAPAR
biophysical parameters
SPOT-5
regression modeling
machine learning
author_facet Andrii Shelestov
Andrii Kolotii
Sergii Skakun
Bettina Baruth
Raul Lopez Lozano
Bohdan Yailymov
author_sort Andrii Shelestov
title Biophysical parameters mapping within the SPOT-5 Take 5 initiative
title_short Biophysical parameters mapping within the SPOT-5 Take 5 initiative
title_full Biophysical parameters mapping within the SPOT-5 Take 5 initiative
title_fullStr Biophysical parameters mapping within the SPOT-5 Take 5 initiative
title_full_unstemmed Biophysical parameters mapping within the SPOT-5 Take 5 initiative
title_sort biophysical parameters mapping within the spot-5 take 5 initiative
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2017-01-01
description Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High temporal satellite imagery is usually required to capture main parameters of crop growth. In this paper, we assess efficiency of using satellite images at high spatial and temporal resolution acquired within the SPOT-5 Take 5 initiative for mapping biophysical parameters.
topic LAI
FAPAR
biophysical parameters
SPOT-5
regression modeling
machine learning
url http://dx.doi.org/10.1080/22797254.2017.1324743
work_keys_str_mv AT andriishelestov biophysicalparametersmappingwithinthespot5take5initiative
AT andriikolotii biophysicalparametersmappingwithinthespot5take5initiative
AT sergiiskakun biophysicalparametersmappingwithinthespot5take5initiative
AT bettinabaruth biophysicalparametersmappingwithinthespot5take5initiative
AT raullopezlozano biophysicalparametersmappingwithinthespot5take5initiative
AT bohdanyailymov biophysicalparametersmappingwithinthespot5take5initiative
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