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Estimation of Seasonal Sun-Induced Fluorescence Dynamics of Indian Tropical Deciduous Forests using SCOPE and Sentinel-2 MSI

Sanjiv K. Sinha, Hitendra Padalia, N.R. Patel, Prakash Chauhan
2020 International Journal of Applied Earth Observation and Geoinformation  
Among various Sentinel-2 MSI derived VIs, Red Edge NDVI (RENDVI) exhibited maximum sensitivity with SIF (highest monthly average R 2 > 0.6, p < 0.05).  ...  CCC maps were generated through an Automated Radiative Transfer Model Operator (ARTMO) using the PROSAIL model and Sentinel-2 Multi-Spectral Imager (MSI) imagery.  ...  We also thank Uttarakhand Forest Department for permission to collect field data in the study area.  ... 
doi:10.1016/j.jag.2020.102155 fatcat:6uqpjgxqnbgizmetsmkcwmodgq

Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels

M. Schlemmer, A. Gitelson, J. Schepers, R. Ferguson, Y. Peng, J. Shanahan, D. Rundquist
2013 International Journal of Applied Earth Observation and Geoinformation  
Spectral bands that were found optimal for Chl and N estimations coincide well with the red-edge band of the MSI sensor onboard the near future Sentinel-2 satellite.  ...  Leaf N and Chl contents were determined using the red-edge chlorophyll index with R 2 of 0.74 and 0.94, respectively.  ...  The close leaf-level relationship was the basis for using Chl-related vegetation indices to estimate N content. Figure 2 . 2 Maize leaf chlorophyll content versus red-edge chlorophyll index.  ... 
doi:10.1016/j.jag.2013.04.003 fatcat:ukdtiqirjjcbjii6mqpyr6cbba

Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

J.G.P.W. Clevers, A.A. Gitelson
2013 International Journal of Applied Earth Observation and Geoinformation  
This paper focuses on the potential of Sentinel-2 and Sentinel-3 in estimating total crop and grass chlorophyll and N content by studying in situ crop variables and spectroradiometer measurements obtained  ...  of canopy chlorophyll and N content and the Sentinel-2 and -3 bands are well positioned for deriving these indices.  ...  Conclusions This paper presents the significance of the red-edge bands of the MSI sensor on Sentinel-2 for estimating chlorophyll and N contents in crops and grasslands.  ... 
doi:10.1016/j.jag.2012.10.008 fatcat:2encwdofzfbetjg5kiijdg73by

Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation

William James Frampton, Jadunandan Dash, Gary Watmough, Edward James Milton
2013 ISPRS journal of photogrammetry and remote sensing (Print)  
This study aims to evaluate the potential of S-2 MSI sensor for estimation of canopy chlorophyll content, leaf area index (LAI) and leaf chlorophyll concentration (LCC) using data from multiple field campaigns  ...  The Multi-Spectral Instrument (MSI) aboard the future ESA Sentinel-2 (S-2) satellite will provide the opportunity for estimation of the REP at much higher spatial resolution (20 m) than has been previously  ...  Acknowledgements The study has been supported by ESA funding the MTCI EVAL project and providing SEN3Exp data.  ... 
doi:10.1016/j.isprsjprs.2013.04.007 fatcat:rls7irdn7zfrnc6w7hzb7tqiuq

Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery

Mahlatse Kganyago, Paidamwoyo Mhangara, Clement Adjorlolo
2021 Remote Sensing  
Biophysical parameters such as Leaf Area Index (LAI), Leaf Chlorophyll Content (LCab), and Canopy Chlorophyll Content (CCC) are essential for characterising field-level spatial variability and thus are  ...  This study compared the predictive performance of sparse Partial Least Squares (sPLS), Random Forest (RF), and Gradient Boosting Machines (GBM) for estimating LAI, LCab, and CCC with Sentinel-2 imagery  ...  Acknowledgments: The authors appreciate the field data provided by the EU-H2020 AfriCultuReS project (GA: 774652), the ESA Network of Resources (NoR) sponsorship for providing access to Sentinel Hub Cloud  ... 
doi:10.3390/rs13214314 fatcat:nkjw4doeh5bhvc7wb7quq2cvmq

ACCURACY ANALYSIS OF SENTINEL 2A AND LANDSAT 8 OLI+ SATELLITE DATASETS OVER KANO STATE (NIGERIA) USING VEGETATION SPECTRAL INDICES

O. A. Isioye, E. A. Akomolafe, U. H. Ikwueze
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Vegetation indices, comprising the Normalized Difference Vegetation Index (NDVI), Green Chlorophyll Index (GCI), Leaf Area Index (LAI) and Moisture Stress Index (MSI) were determined for each year.  ...  Based on this finding, it is recommended that Sentinel-2A data could be used as a complementary data source with Landsat 8 OLI in vegetation assessment.  ...  Comparative Analysis of Landsat 8 OLI and Sentinel 2A Derived GCI The Green Chlorophyll Index is used to estimate the content of leaf chlorophyll in various species of plants.  ... 
doi:10.5194/isprs-archives-xliv-3-w1-2020-65-2020 fatcat:ggyvlpclivh57jxqp6pnzfawr4

Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover

Bing Wang, Kun Jia, Shunlin Liang, Xianhong Xie, Xiangqin Wei, Xiang Zhao, Yunjun Yao, Xiaotong Zhang
2018 Remote Sensing  
The results indicate that the three most important bands of Sentinel-2 MSI data for FVC estimation are band 4 (Red), band 12 (SWIR2) and band 8a (NIR2).  ...  Therefore, the objective of this study was to assess the performance of Sentinel-2 MSI spectral band reflectances on FVC estimation.  ...  Sentinel-2 data were downloaded from the ESA's Copernicus Open Access Hub. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10121927 fatcat:cfu2qzqnjza27h4k2ww2m4yjbq

BAIS2: Burned Area Index for Sentinel-2

Federico Filipponi
2018 Proceedings (MDPI)  
to perform post-fire mapping using Sentinel-2 data.  ...  New MSI sensor aboard Sentinel-2 satellites carries more spectral information 14 recorded in the red-edge spectral region, opening the way to the development of new indices for 15 burned area mapping.  ...  Acknowledgments: Sentinel 2 MSI data used were available at no cost from ESA Sentinels Scientific Data Hub.  ... 
doi:10.3390/ecrs-2-05177 fatcat:evijm7wdrbearkukw2k2yxo6uu

Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

Z. Jelínek, K. Starý, J. Kumhálová, J. Lukáš, J. Mašek
2020 Agronomy Research  
The study showed the usability of individual vegetation indices, especially the TGI index for chlorophyll content estimation, and VARI index for green vegetation fraction detection and leaf area index  ...  The results derived from satellite and UAV images were supported with in-situ measurements of hand-held GreenSeeker and Chlorophyll Meter Content sensors.  ...  CONCLUSIONS Our research showed solution with the use of visible spectral indices (GLI, TGI and VARI) derived not only from Sentinel 2 images, but from UAVs with common used multispectral or low-cost RGB  ... 
doi:10.15159/ar.20.176 fatcat:pulikjkyhzbxlf4xkrrv7snrxm

Assessment of Cornfield LAI Retrieved from Multi-Source Satellite Data Using Continuous Field LAI Measurements Based on a Wireless Sensor Network

Lihong Yu, Jiali Shang, Zhiqiang Cheng, Zebin Gao, Zixin Wang, Luo Tian, Dantong Wang, Tao Che, Rui Jin, Jiangui Liu, Taifeng Dong, Yonghua Qu
2020 Remote Sensing  
for Landsat 7/8 and Sentinel-2 LAI inversion, respectively.  ...  Finally, field LAI data were used to validate the multi-temporal LAI retrieved from remote-sensing data acquired by different satellite sensors.  ...  Comparison of LAI measured in situ and that estimated from reflectance-based LUT from Sentinel-2 data.  ... 
doi:10.3390/rs12203304 fatcat:natvuvci5zhkddufwsndxahelm

Using remotely sensed spectral reflectance to indicate leaf photosynthetic efficiency derived from active fluorescence measurements

Yi Peng, Aoli Zeng, Tinge Zhu, Shenghui Fang, Yan Gong, Yanqi Tao, Ying Zhou, Kan Liu
2017 Journal of Applied Remote Sensing  
It is observed that leaf chlorophyll content closely related to F v ∕F m in nonstressed leaves, thus the indices developed for chlorophyll estimation were successfully used to estimate F v ∕F m .  ...  Compared to leaf chlorophyll content, reflectance was more sensitive to F v ∕F m variations.  ...  Several widely used indices, calculated from leaf reflectance simulated in Sentinel-2 bands, were tested to estimate F v ∕F m for nonstressed leaves.  ... 
doi:10.1117/1.jrs.11.026034 fatcat:inyqmupmjfek5oujlwdng5itze

The Utility of Sentinel-2 MSI Data to Estimate Wetland Vegetation Leaf Area Index in Natural and Rehabilitated Wetlands

Nonjabulo Neliswa Tshabalala, Onisimo Mutanga, Mbulisi Sibanda
2021 Geographies  
Partial Least Squares Regression (PLSR) algorithms were used to compare the estimation strength of models derived from all Sentinel-2 MSI bands, conventional vegetation indices and red-edge derived vegetation  ...  Therefore, the study sought to test the potential of Sentinel-2 multispectral instrument (MSI) derived standard bands, traditional vegetation indices and red-edge derived vegetation indices in estimating  ...  Data Availability Statement: Data used in this study will be availed upon request. To request the data, contact details are supplied in this paper for requesting the data.  ... 
doi:10.3390/geographies1030011 fatcat:7eyruzveojcdley45lozjkws74

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

P.J. Zarco-Tejada, A. Hornero, P.S.A. Beck, T. Kattenborn, P. Kempeneers, R. Hernández-Clemente
2019 Remote Sensing of Environment  
Using lower-resolution Sentinel-2A data validated against hyperspectral estimates and ground truth needle chlorophyll content, the red-edge index CI and the Sentinel-specific chlorophyll indices CI-Gitelson  ...  With the advent of Sentinel-2, it is now possible to generate large-scale chlorophyll content maps with unprecedented spatial and temporal resolution, suitable for monitoring ecological processes such  ...  Rodriguez for assistance in the Sentinel-2 processing.  ... 
doi:10.1016/j.rse.2019.01.031 pmid:31007289 pmcid:PMC6472624 fatcat:o37w73r2ovbybn2he45lctz7xm

Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data

Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew Skidmore, Tawanda W. Gara, Brian O'Connor, Claudia Roeoesli, Marco Heurich, Marc Paganini
2020 International Journal of Applied Earth Observation and Geoinformation  
In this work, we assessed the performance of several statistical and physical-based methods in retrieving canopy chlorophyll content (CCC) from Sentinel-2 in a heterogeneous mixed mountain forest.  ...  operational algorithm to map CCC from Sentinel-2 for longterm terrestrial ecosystems monitoring across the globe.  ...  It is a product of leaf chlorophyll content, i.e., chlorophyll content of a fresh green leaf per unit area (μg/cm 2 ) and leaf area index (LAI) (m 2 m −2 )) that describes chlorophyll pigments distribution  ... 
doi:10.1016/j.jag.2019.102037 fatcat:bnbw2cknqna4lhqhmkvtnialzm

Toward Generic Models for Green LAI Estimation in Maize and Soybean: Satellite Observations

Oz Kira, Anthony L. Nguy-Robertson, Timothy J. Arkebauer, Raphael Linker, Anatoly A. Gitelson
2017 Remote Sensing  
Sentinel 2 MSI and OLCI Sentinel 3 estimates, based on simulated data, had errors below 8%.  ...  2 MSI and Sentinel 3 OLCI.  ...  If these results would be confirmed using real Sentinel-2 and Sentinel-3 data, it will allow for the use of a model based on close range data for retrieval LAI from MSI and OLCI data.  ... 
doi:10.3390/rs9040318 fatcat:bfir6idtjrb5tcbqi4tqkmvf7q
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