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Evaluation and Exploitation of Retrieval Algorithms for Estimating Biophysical Crop Variables Using Sentinel-2, Venus, and PRISMA Satellite Data

Raffaele CASA,Deepak UPRETI,Angelo PALOMBO,Simone PASCUCCI,Hao YANG,Guijun YANG,Wenjiang HUANG,Stefano PIGNATTI
2020 Journal of Geodesy and Geoinformation Science  
useful for an accurate retrieving of crop biophysical parameters.  ...  This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite  ...  To this aimꎬ we applied the PROSAIL model to retrieve from Sentinel and Venus satellite remotely sensed data the ensemble of the model input variables ( both biophysical and biochemical) .  ... 
doi:10.11947/j.jggs.2020.0408 doaj:b5d502c0199c48fb8542a609a060ff99 fatcat:z6xbztv35zcyfgjlpmjeh4vwom

Retrieval of Leaf Area Index Using Sentinel-2 Imagery in A Mixed Mediterranean Forest Area

Irene Chrysafis, Georgios Korakis, Apostolos P. Kyriazopoulos, Giorgos Mallinis
2020 ISPRS International Journal of Geo-Information  
The aim of this study was to assess the spectral information of Sentinel-2 MSI satellite imagery for the retrieval of LAI over a mixed forest ecosystem located in northwest Greece.  ...  Improvements in remote sensing instrumental characteristics and the availability of more efficient statistical algorithms, elevate the potential for more accurate models of vegetation biophysical properties  ...  Acknowledgments: The Sentinel-2 MSI data were available from the European Space Agency at no-cost.  ... 
doi:10.3390/ijgi9110622 fatcat:nomfhbp5hzfrbg4potvsyz5gj4

Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications

Joel Segarra, Maria Luisa Buchaillot, Jose Luis Araus, Shawn C. Kefauver
2020 Agronomy  
We also compared the panoply of satellites currently in use for land remote sensing that are relevant for agriculture to the Sentinel-2 A + B constellation features.  ...  of field data and different remote sensing techniques may still be needed.  ...  Acknowledgments: This study was supported in part by the Spanish project AGL2016-76527-R from the Ministerio de Economía y Competividad (MINECO, Spain) and by the support of Catalan Institution for Research  ... 
doi:10.3390/agronomy10050641 fatcat:dep65xicqbhthfblloovjvoteq

Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands

Huihui Mao, Jihua Meng, Fujiang Ji, Qiankun Zhang, Huiting Fang
2019 Applied Sciences  
Leaf area index (LAI) is a crucial crop biophysical parameter that has been widely used in a variety of fields.  ...  The performances of the five machine learning models are compared for better applications of MLRAs in remote sensing, since challenging problems remain in the selection of MLRAs for crop LAI retrieval,  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9071459 fatcat:dfl3v7zkszgnpoqdduminlownq

Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking

Yeshanbele Alebele, Xue Zhang, Wenhui Wang, Gaoxiang Yang, Xia Yao, Hengbiao Zheng, Yan Zhu, Weixing Cao, Tao Cheng
2020 Remote Sensing  
Retrieval of crop biomass from synthetic aperture radar SAR or optical imagery is of paramount importance for in-season monitoring of crop growth.  ...  Notably, the joint estimations of biophysical parameters might be more accurate than that of an individual parameter.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12162564 fatcat:3on66wvk3jgopm5scohrrmxyrq

Biophysical parameters mapping within the SPOT-5 Take 5 initiative

Andrii Shelestov, Andrii Kolotii, Sergii Skakun, Bettina Baruth, Raul Lopez Lozano, Bohdan Yailymov
2017 European Journal of Remote Sensing  
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.  ...  Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state.  ...  In order to derive biophysical values from remote sensing imagery, an inversion of the physical model is performed.  ... 
doi:10.1080/22797254.2017.1324743 fatcat:lbblbgvkqnbazglpuerkvtiy34

Landsat-8 and Sentinel-2 Canopy Water Content Estimation in Croplands through Radiative Transfer Model Inversion

Erik J. Boren, Luigi Boschetti
2020 Remote Sensing  
Despite the potential implications of a cropland canopy water content (CCWC) thematic product, no global remotely sensed CCWC product is currently generated.  ...  Finally, the inversion of Sentinel-2 data outperformed the inversion of Landsat-8 in the HLS product.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2020, 12, 2803  ... 
doi:10.3390/rs12172803 fatcat:7qpleuiqhbbe5ekc72syghthgq

Prototyping a Generic Algorithm for Crop Parameter Retrieval across the Season Using Radiative Transfer Model Inversion and Sentinel-2 Satellite Observations

Jiří Tomíček, Jan Mišurec, Petr Lukeš
2021 Remote Sensing  
In this study, Sentinel-2 data were used for the retrieval of three key biophysical parameters of crops: leaf area index (LAI), leaf chlorophyll content (LCC), and leaf water content (LWC) for dominant  ...  We have developed a generic tool for biophysical monitoring of agricultural crops based on the interpretation of Sentinel-2 satellite data by inversion of the radiation transfer model.  ...  Remote Sens. 2021, 13, 3659  ... 
doi:10.3390/rs13183659 fatcat:2g6l72quybhpnk2kgw7lbdzzs4

SENTINEL FOR APPLICATIONS IN AGRICULTURE

M. A. Gomarasca, A. Tornato, D. Spizzichino, E. Valentini, A. Taramelli, G. Satalino, M. Vincini, M. Boschetti, R. Colombo, L. Rossi, E. Borgogno Mondino, L. Perotti (+2 others)
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The paper introduce topics as crop mapping and monitoring, biophysical parameters, phenology and yield estimations, through several concluded or ongoing international projects such as: ERMES -FP7 (http  ...  - European Association of Remote Sensing Laboratories), the European Erasmus+ project EO4GEO, University Departments and Geo-Information Companies.  ...  and inversion of RT models) for the estimation of biophysical parameters from Sentinel 2 data.  ... 
doi:10.5194/isprs-archives-xlii-3-w6-91-2019 fatcat:ypka3yewnfgnfaswewc77vt3ym

Table of contents

2019 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)  
time series Sentinel-1 and Sentinel-2 imagery for cotton field mapping in heterogeneous cultivated areas of Xinjiang, China . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Ren, Huizhen Zhou and Hua Shen MULTI OUTPUT REGRESSIONS FOR ESTIMATING CANOLA BIOPHYSICAL PARAMETERS FROM POLSAR DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/agro-geoinformatics.2019.8820215 fatcat:ig2p7lly3vb6hpe5y5o663wosa

The potential of satellite-observed crop phenology to enhance yield gap assessments in smallholder landscapes

John M. A. Duncan, Jadunandan Dash, Peter M. Atkinson
2015 Frontiers in Environmental Science  
This paper reviews the potential of crop phenology, observed from satellites carrying remote sensing sensors, to fill this information gap.  ...  However, on a practical level the spatial mismatch between the resolution at which crop phenology can be estimated from satellite remote sensing data and the scale of yield variability in smallholder croplands  ...  PA is grateful to the University of Utrecht for supporting him with The Belle van Zuylen Chair.  ... 
doi:10.3389/fenvs.2015.00056 fatcat:kfbw6w5bdzefro4kp3fllxtpuy

Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy

R. Anniballe, R. Casa, F. Castaldi, F. Fascetti, F. Fusilli, W. Huang, G. Laneve, P. Marzialetti, A. Palombo, S. Pascucci, N. Pierdicca, S. Pignatti (+5 others)
2015 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
of soil and crops.  ...  From January to May radar Cosmo SkyMed Ping-Pong (HH-VV), RapidEye and ZY-3 multispectral VHR optical images, as well as in situ data, have been acquired to retrieve biophysical and/or bio-chemical characteristics  ...  To date the methods based on the use of remote sensing data for monitoring crops and, in particular, of cereal crops both at the local and regional levels, are still far from being effective and operational  ... 
doi:10.1109/igarss.2015.7326544 dblp:conf/igarss/AnniballeCCFFHL15 fatcat:p3v2eu3blrexdhdsienuq5jxf4

Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach

Nieves Pasqualotto, Guido D'Urso, Salvatore Falanga Bolognesi, Oscar Rosario Belfiore, Shari Van Wittenberghe, Jesús Delegido, Alejandro Pezzola, Cristina Winschel, José Moreno
2019 Agronomy  
Different methodologies based on remote sensing have emerged for the leaf area index (LAI) and the canopy chlorophyll content (CCC) estimation, essential biophysical parameters for crop evapotranspiration  ...  Remote sensing evapotranspiration estimation over agricultural areas is increasingly used for irrigation management during the crop growing cycle.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/agronomy9100663 fatcat:o6xyagwjmfacjaz7gbdzzqasii

MONITORING WHEAT CROP GROWTH PARAMETERS USING TIME SERIES SENTINEL-1 AND SENTINEL-2 DATA FOR AGRICULTURAL APPLICATION IN MONGOLIA

B. Gansukh, B. Batsaikhan, A. Dorjsuren, C. Jamsran, N. Batsaikhan
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Sentinel-1 SAR and Sentinel-2 MSI analysis of time series data were carried out to monitor the wheat crop growth parameters.  ...  The wheat crop parameters, i.e. normalized difference vegetation index, vegetation water content, backscatter value of VV, VH channels were estimated using remote sensing data with reference data as cadastre  ...  Moreover, I am grateful to the reviewers whose comments helped to improve the quality of the manuscript remarkably.  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-989-2020 fatcat:rhihtck4l5dkjn7eryypoxp7ea

Validation of sentinel-2 leaf area index (LAI) product derived from SNAP toolbox and its comparison with global LAI products in an African semi-arid agricultural landscape

Mahlatse Kganyago, Paidamwoyo Mhangara, Thomas Alexandridis, Giovanni Laneve, Georgios Ovakoglou, Nosiseko Mashiyi
2020 Remote Sensing Letters  
This study validated SNAP-derived LAI from Sentinel-2 and its consistency with existing global LAI products.  ...  The results in this study have implications for future use of SNAP-derived LAI from Sentinel-2 in agricultural landscapes, suggesting its global applicability that is essential for large-scale agricultural  ...  Funding This research was conducted as part of the project, "Enhancing Food Security in African Agricultural Systems with the Support of Remote Sensing," which received funding from the European Union's  ... 
doi:10.1080/2150704x.2020.1767823 fatcat:5tmaoslzszarxbhoipmrztv6yu
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