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Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity

Shangrong Lin, Jing Li, Qinhuo Liu, Longhui Li, Jing Zhao, Wentao Yu
2019 Remote Sensing  
Gross primary productivity (GPP) is the most important component of terrestrial carbon flux.  ...  In this study, we firstly evaluated the relationship between eight vegetation indices (VIs) retrieved from Sentinel-2 imagery in association with incident photosynthetic active radiation (PARin) and carbon  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11111303 fatcat:3oyuvktcmrdudkeehwdcefug3e

Status of Phenological Research Using Sentinel-2 Data: A Review

Gourav Misra, Fiona Cawkwell, Astrid Wingler
2020 Remote Sensing  
However, despite the additional red-edge and short wave infra-red (SWIR) bands available on the Sentinel-2 multispectral instruments, with improved vegetation species detection capabilities, there has  ...  This review paper discusses the current state of vegetation phenology studies based on the first five years of Sentinel-2, their advantages, limitations, and the scope for future developments.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs12172760 fatcat:c26aoq2gerbyvdsdritson54m4

Estimation of Gross Primary Productivity (GPP) Phenology of a Short-Rotation Plantation Using Remotely Sensed Indices Derived from Sentinel-2 Images

Maral Maleki, Nicola Arriga, José Miguel Barrios, Sebastian Wieneke, Qiang Liu, Josep Peñuelas, Ivan A. Janssens, Manuela Balzarolo
2020 Remote Sensing  
Canopy structure- and chlorophyll-sensitive VIs derived from Sentinel-2 images were used to estimate the start and end of the growing season (SOS and EOS, respectively) during the period 2016–2018, for  ...  This study aimed to understand which vegetation indices (VIs) are an ideal proxy for describing phenology and interannual variability of Gross Primary Productivity (GPP) in short-rotation coppice (SRC)  ...  Acknowledgments: Authors gratefully acknowledge the technical assistance of Jan Segers in the field. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/rs12132104 fatcat:6twumu4ndnasfnqirgap5wloqm

A Broadband Green-Red Vegetation Index for Monitoring Gross Primary Production Phenology

Gaofei Yin, Aleixandre Verger, Adrià Descals, Iolanda Filella, Josep Peñuelas
2022 Journal of Remote Sensing  
GRVI and CCI performed similarly in extracting phenological metrics of the dates of the start and end of the season (EOS) when evaluated with gross primary production (GPP) measurements from eddy covariance  ...  The chlorophyll/carotenoid index (CCI) is increasingly used for remotely tracking the phenology of photosynthesis. However, CCI is restricted to few satellites incorporating the 531 nm band.  ...  This work represents a contribution to CSIC-PTI TELEDETECT. In situ observations of fluxes were obtained from the FLUXNET 2015 dataset (http://fluxnet .fluxdata.org/data/fluxnet2015-dataset/).  ... 
doi:10.34133/2022/9764982 fatcat:isymx5b7nrdnjo2663mkonu3mu

Sen2Grass: A Cloud-Based Solution to Generate Field-Specific Grassland Information Derived from Sentinel-2 Imagery

Tom Hardy, Lammert Kooistra, Marston Domingues Franceschini, Sebastiaan Richter, Erwin Vonk, Gé van den Eertwegh, Dion van Deijl
2021 AgriEngineering  
For this study, Sentinel-2 satellite imagery was used as an input to develop an open-source and automated monitoring system (Sen2Grass) to gain field-specific grassland information on the national and  ...  This system was implemented in a cloud-computing platform (StellaSpark Nexus) designed to process large geospatial data streams from a variety of sources and was tested for a number of parcels from the  ...  Acknowledgments: We thank ESA for offering the Copernicus Open Access Hub to be able to obtain data from the Sentinel-2 satellite constellation; Haus Riswick for offering us the data that we used for our  ... 
doi:10.3390/agriengineering3010008 fatcat:vre2u5vrczbo5d3zfvjya4coza

Reviewing the Potential of Sentinel-2 in Assessing the Drought

Dani Varghese, Mirjana Radulović, Stefanija Stojković, Vladimir Crnojević
2021 Remote Sensing  
The objective of this paper is to evaluate the potential of Sentinel-2 in assessing drought through vegetation characteristics, soil moisture, evapotranspiration, surface water including wetland, and land  ...  Additionally, the limitations of Sentinel-2 in its direct applicability to drought studies are also evaluated.  ...  The founding sponsors had no role in the design of the study: in the collection, analyses, or interpretation of data: in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs13173355 fatcat:ntzknamhcvcwxb7lyzhxq3ywse

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

Jesús Delegido, Jochem Verrelst, Luis Alonso, José Moreno
2011 Sensors  
Both methods emphasize OPEN ACCESS Sensors 2011, 11 7064 the importance of red-edge bands for operational estimation of biophysical parameters from Sentinel-2.  ...  These bands are positioned closely to the Sentinel-2 B4 (665 nm) and the new red-edge B5 (705 nm) band. The method has been applied to simulated Sentinel-2 data.  ...  The authors would like to thank all the participants in the campaign activities for their contribution to the database used in this study. We appreciate the many valuable suggestions of the reviewers.  ... 
doi:10.3390/s110707063 pmid:22164004 pmcid:PMC3231680 fatcat:kktxvoyckfdn7m6mbwxx7hiaxi

Integration of Satellite-Based Optical and Synthetic Aperture Radar Imagery to Estimate Winter Cover Crop Performance in Cereal Grasses

Jyoti S. Jennewein, Brian T. Lamb, W. Dean Hively, Alison Thieme, Resham Thapa, Avi Goldsmith, Steven B. Mirsky
2022 Remote Sensing  
Our results suggest that the integration of the normalized difference red-edge vegetation index (NDVI_RE1; employing Sentinel-2 bands 5 and 8A), combined with SAR interferometric (InSAR) coherence, best  ...  We assessed the integration of optical (Sentinel-2) and SAR (Sentinel-1) imagery to estimate winter cover crops biomass across 27 fields over three winter–spring seasons (2018–2021) in Maryland.  ...  Table 1 . 1 List of optical vegetation indices (VIs) calculated from Sentinel-2 imagery where ρ indicates reflectance of a given optical band, REx indicates a red-edge optical band (which can be either  ... 
doi:10.3390/rs14092077 fatcat:udrhu4zdbfb7bbluhmcye7kybe

On estimating Gross Primary Productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance

Sofia Cerasoli, Manuel Campagnolo, Joana Faria, Carla Nogueira, Maria Caldeira
2018 Biogeosciences Discussions  
</strong> We applied an empirical modelling approach for Gross Primary Productivity (GPP) estimation from hyperspectral surface reflectance of Mediterranean grasslands undergoing different fertilization  ...  </br> The LEAPS procedure was applied to select the best set of the vegetation indices or spectral bands for GPP estimation using Hyp, S2 or L8.  ...  A set of vegetation indices proposed in 5 the literature were calculated and the performance of models to estimate GPP based on linear combinations of vegetation indices and bands were compared.  ... 
doi:10.5194/bg-2018-110 fatcat:xun5mgd5r5dydjy4feypqdwhwu

On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance

Sofia Cerasoli, Manuel Campagnolo, Joana Faria, Carla Nogueira, Maria da Conceição Caldeira
2018 Biogeosciences  
</strong> We applied an empirical modelling approach for gross primary productivity (GPP) estimation from hyperspectral reflectance of Mediterranean grasslands undergoing different fertilization treatments  ...  </p><p>An optimal procedure for selection of the best subset of predictor variables (LEAPS) was applied to identify the most effective set of vegetation indices or spectral bands for GPP estimation using  ...  We applied an empirical modelling approach for gross primary productivity (GPP) estimation from hyperspectral reflectance of Mediterranean grasslands undergoing different fertilization treatments.  ... 
doi:10.5194/bg-15-5455-2018 fatcat:p3upxxvahvgvvdqzxa3ia2zcfu

Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India

Praveen Kumar, Akhouri P. Krishna, Thorkild M. Rasmussen, Mahendra K. Pal
2021 ISPRS International Journal of Geo-Information  
This paper is aimed to develop a novel method for precise, accurate, and quick evaluation of the forest AGB from optical remote sensing data.  ...  The validation of the developed method was demonstrated utilizing Sentinel-2 imagery as test data and the Tundi reserved forest area located in the Dhanbad district of Jharkhand state in eastern India  ...  Acknowledgments: The authors would like to thank the European Space Agency for providing freely the Copernicus Sentinel-2 data used in this study.  ... 
doi:10.3390/ijgi10010029 fatcat:hcoud4id2jh6fl7gvc2mrse4gi

The Value of Sentinel-2 Spectral Bands for the Assessment of Winter Wheat Growth and Development

Andrew Revill, Anna Florence, Alasdair MacArthur, Stephen P. Hoad, Robert M. Rees, Mathew Williams
2019 Remote Sensing  
When accounting for measurement uncertainty in the estimation of LAI and CCC, the number of most informative Sentinel-2 bands was reduced from four to only two—the red-edge (705 nm) and near-infrared (  ...  Using synthetic data, past research has demonstrated the potential of Sentinel-2 for estimating crop variables.  ...  On the other hand, chlorophyll is a key driver of plant light absorption and 45 conversion to chemical energy and is, therefore, an indicator of plant health and potential gross 46 primary productivity  ... 
doi:10.3390/rs11172050 fatcat:noqsxktsszhpzk7hbyl7iqukye

Monitoring of Nitrogen and Grain Protein Content in Winter Wheat Based on Sentinel-2A Data

Zhao, Song, Yang, Li, Zhang, Feng
2019 Remote Sensing  
The objectives of this field study are: (i) To assess the ability of spectral vegetation indices (VIs) of Sentinel 2 data to detect the wheat nitrogen (N) attributes related to the grain quality of winter  ...  Earlier estimation of wheat GPC based on remote sensing provided effective decision to adapt optimized strategies for grain harvest, which is of great significance for agricultural production.  ...  The funders had no role in choosing the study design or in the collection, analysis, and interpretation of the data, in the writing of the report, or in the decision to submit the article for publication  ... 
doi:10.3390/rs11141724 fatcat:k3y3cybv6vasnoumqzktvessta

Forest Potential Productivity Mapping by Linking Remote-Sensing-Derived Metrics to Site Variables

Parinaz Rahimzadeh-Bajgiran, Chris Hennigar, Aaron Weiskittel, Sean Lamb
2020 Remote Sensing  
The Sentinel-2 red-edge position (S2REP) index was identified as the most important variable over others to have known influence on site productivity.  ...  Initially, several Sentinel-2 variables including nine single spectral bands and 12 spectral vegetation indices (SVIs) were used in combination with forest management variables to predict tree volume/ha  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12122056 fatcat:puriuqqxzjdbhdcix352amsubq

Monitoring Rainfed Alfalfa Growth in Semiarid Agrosystems Using Sentinel-2 Imagery

Andrés Echeverría, Alejandro Urmeneta, María González-Audícana, Esther M González
2021 Remote Sensing  
Different vegetation indices derived from a series of Sentinel-2 images were calculated and were then correlated with the FVC measurements at the pixel and parcel levels using different types of equations  ...  The aim of this study was to assess the utility of Sentinel-2 images in the monitoring of the fractional vegetation cover (FVC) of rainfed alfalfa in semiarid areas such as that of Bardenas Reales in Spain  ...  Javier Peralta for his expert advice regarding the in situ samplings of vegetation cover in the Bardenas Reales area and and J.  ... 
doi:10.3390/rs13224719 fatcat:7mobxmpmunhcjcjpj37ihjj3qm
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