515
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Validation of LAI, chlorophyll and FVC biophysical estimates from sentinel-2 level 2 prototype processor over a heterogeneous savanna and grassland environment in South Africa

, , , & ORCID Icon
Pages 14355-14378 | Received 04 Feb 2022, Accepted 03 Jun 2022, Published online: 17 Jun 2022

References

  • Ali AM, Darvishzadeh R, Skidmore A, Gara TW, O’Connor B, Roeoesli C, Heurich M, Paganini M. 2020. Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data. Int J Appl Earth Obs Geoinf. 87:102037.
  • Ali AM, Darvishzadeh R, Skidmore A, Heurich M, Paganini M, Heiden U, Mücher S. 2020. Evaluating prediction models for mapping canopy chlorophyll content across biomes. Remote Sensing. 12(11):1788.
  • Bacour C, Baret F, Béal D, Weiss M, Pavageau K. 2006. Neural network estimation of LAI, fAPAR, fCover and LAI × Cab, from top of canopy MERIS reflectance data: principles and validation. Remote Sens Environ. 105(4):313–325.
  • Bandyopadhyay A, Bhadra A, Raghuwanshi N, Singh R. 2008. Estimation of monthly solar radiation from measured air temperature extremes. Agric For Meteorol. 148(11):1707–1718.
  • Baret F, Weiss M, Lacaze R, Camacho F, Makhmara H, Pacholcyzk P, Smets B. 2013. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: principles of development and production. Remote Sens Environ. 137:299–309.
  • Bei C, ZHAO Q-j, HUANG W-j, SONG X-y, YE H-c, ZHOU X-f. 2019. Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data. Journal of Integrative Agriculture. 18(6):1230–1245.
  • Brown LA, Fernandes R, Djamai N, Meier C, Gobron N, Morris H, Canisius F, Bai G, Lerebourg C, Lanconelli C, et al. 2021. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States. ISPRS J Photogramm Remote Sens. 175:71–87.
  • Brown LA, Ogutu BO, Dash J. 2019. Estimating forest leaf area index and canopy chlorophyll content with Sentinel-2: an evaluation of two hybrid retrieval algorithms. Remote Sens. 11(15):1752.
  • Campbell GS. 1986. Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution. Agric For Meteorol. 36(4):317–321.
  • Chai T, Draxler RR. 2014. Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature. Geosci Model Dev. 7(3):1247–1250.
  • Chen J, Menges C, Leblanc S. 2005. Global mapping of foliage clumping index using multi-angular satellite data. Remote Sens Environ. 97(4):447–457.
  • Cho M, Ramoelo A, Math R. 2014. Estimation of leaf area index (LAI) of South Africa from MODIS imagery by inversion of P ROSAIL radiative transfer model. Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium; Jul 13–18; Quebec City, Quebec, Canada, p. 2590–2593.
  • Climate Change 2021: The Physical Science Basis. 2021. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, Available online: https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Full_Report_smaller.pdf. (accessed on 29 September 2021).
  • Confalonieri R, Francone C, Foi M. 2014. The PocketLAI smartphone app: an alternative method for leaf area index estimation.
  • Darvishzadeh R, Skidmore A, Schlerf M, Atzberger C. 2008. Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland. Remote Sens Environ. 112(5):2592–2604.
  • Darvishzadeh R, Wang T, Skidmore A, Vrieling A, O’Connor B, Gara TW, Ens BJ, Paganini M. 2019. Analysis of Sentinel-2 and RapidEye for retrieval of leaf area index in a saltmarsh using a radiative transfer model. Remote Sens. 11(6):671.
  • Dash J, Curran P. 2004. The MERIS terrestrial chlorophyll index.
  • Disney M, Muller J-P, Kharbouche S, Kaminski T, Voßbeck M, Lewis P, Pinty B. 2016. A new global fAPAR and LAI dataset derived from optimal albedo estimates: comparison with MODIS products. Remote Sensing. 8(4):275.
  • Djamai N, Fernandes R. 2018. Comparison of SNAP-derived Sentinel-2A L2A product to ESA product over Europe. Remote Sensing. 10(6):926.
  • Djamai N, Fernandes R, Weiss M, McNairn H, Goïta K. 2019. Validation of the Sentinel simplified level 2 Product Prototype Processor (SL2P) for mapping cropland biophysical variables using Sentinel-2/MSI and Landsat-8/OLI data. Remote Sens Environ. 225:416–430.
  • Estimation of leaf area index (LAI) of South Africa from MODIS imager by inversion of PROSAIL radiative transfer model 2014. 2014 IEEE Geoscience and Remote Sensing Symposium; IEEE.
  • Fang H, Li W, Wei S, Jiang C. 2014. Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods. Agric For Meteorol. 198-199:126–141.
  • Feret J-B, François C, Asner GP, Gitelson AA, Martin RE, Bidel LP, Ustin SL, Le Maire G, Jacquemoud S. 2008. PROSPECT-4 and 5: advances in the leaf optical properties model separating photosynthetic pigments. Remote Sens Environ. 112(6):3030–3043.
  • Filipponi F. 2021. Comparison LAI estimates from of high resolution satellite observations using different biophysical processors. Paper presented at biology and life sciences forum. Proceedings of the 1st International Electronic Conference on Agronomy; May 3–17; Online, p. 1–7.
  • Frampton WJ, Dash J, Watmough G, Milton EJ. 2013. Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation. ISPRS J Photogramm Remote Sens. 82:83–92.
  • Francone C, Pagani V, Foi M, Cappelli G, Confalonieri R. 2014. Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures. Field Crops Research. 155:38–41.
  • García-Haro FJ, Campos-Taberner M, Munoz-Mari J, Laparra V, Camacho F, Sanchez-Zapero J, Camps-Valls G. 2018. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System. ISPRS J Photogramm Remote Sens. 139:57–74.
  • Gastwirth JL. 1971. On the sign test for symmetry. J Am Stat Assoc. 66(336):821–823.
  • Gitelson AA, Vina A, Ciganda V, Rundquist DC, Arkebauer TJ. 2005. Remote estimation of canopy chlorophyll content in crops. Geophys Res Lett. 32(8):L08403. doi:10.1029/2005GL022688.
  • Gitelson AA, Viña A, Verma SB, Rundquist DC, Arkebauer TJ, Keydan G, Leavitt B, Ciganda V, Burba GG, Suyker AE. 2006. Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J Geophys Res. 111(D8):D08S11. doi:10.1029/2005JD006017.
  • Global Biodiversity Outlook 5 (GBO05). 2020. CBD (Convention on Biological Diversity). CBD Secretariat, Montréal, Canada, Available online: https://www.cbd.int/gbo/gbo5/publication/gbo-5-en.pdf. (accessed on 20 August 2021).
  • Global Climate Observing System (GCOS). 2010. Systematic observation requirements for satellite-based products for climate, 2011 update, supplemental details to the satellite-based component of the implementation plan for the global observing system for climate in support of the UNFCCC. Update. Available online: https://library.wmo.int/doc_num.php?explnum_id=3710. (accessed on 28 September 2021).
  • Hauser LT, Féret J-B, Binh NA, van der Windt N, Sil ÂF, Timmermans J, Soudzilovskaia NA, van Bodegom PM. 2021. Towards scalable estimation of plant functional diversity from Sentinel-2: in-situ validation in a heterogeneous (semi-) natural landscape. Remote Sens Environ. 262:112505.
  • Hill MJ, Senarath U, Lee A, Zeppel M, Nightingale JM, Williams RDJ, McVicar TR. 2006. Assessment of the MODIS LAI product for Australian ecosystems. Remote Sens Environ. 101(4):495–518.
  • Hu Q, Yang J, Xu B, Huang J, Memon MS, Yin G, Zeng Y, Zhao J, Liu K. 2020. Evaluation of global decametric-resolution LAI, FAPAR and FVC estimates derived from Sentinel-2 imagery. Remote Sens. 12(6):912.
  • Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). 2019. Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the intergovernmental science-policy platform on biodiversity and ecosystem services (IPBES Secretariat, Bonn), Available online: https://ipbes.net/sites/default/files/2020-02/ipbes_global_assessment_report_summary_for_policymakers_en.pdf. (accessed on 21 July 2021).
  • Jamieson P, Porter J, Wilson D. 1991. A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand. Field Crops Res. 27(4):337–350.
  • Jia K, Yang L, Liang S, Xiao Z, Zhao X, Yao Y, Zhang X, Jiang B, Liu D. 2018. Long-term Global Land Surface Satellite (GLASS) fractional vegetation cover product derived from MODIS and AVHRR Data. IEEE J Sel Top Appl Earth Observations Remote Sens. 12(2):508–518.
  • Johnson MVV, Kiniry JR, Burson BL. 2010. Ceptometer deployment method affects measurement of fraction of intercepted photosynthetically active radiation. Agron J. 102(4):1132–1137.
  • Jonckheere I, Fleck S, Nackaerts K, Muys B, Coppin P, Weiss M, Baret F. 2004. Review of methods for in situ leaf area index determination: part I. Theories, sensors and hemispherical photography. Agric for Meteorol. 121(1-2):19–35.
  • Kganyago M, Mhangara P, Alexandridis T, Laneve G, Ovakoglou G, Mashiyi N. 2020. 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. Remote Sensing Letters. 11(10):883–892.
  • Lang A, Yueqin X. 1986. Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies. Agric for Meteorol. 37(3):229–243.
  • Liang S, Wang J. 2019. Advanced remote sensing: terrestrial information extraction and applications. Amsterdam (The Netherlands): Academic Press.
  • Li Y, Chen J, Ma Q, Zhang HK, Liu J. 2018. Evaluation of Sentinel-2A surface reflectance derived using Sen2Cor in North America. IEEE J Sel Top Appl Earth Observations Remote Sens. 11(6):1997–2021.
  • Li Y, He N, Hou J, Xu L, Liu C, Zhang J, Wang Q, Zhang X, Wu X. 2018. Factors influencing leaf chlorophyll content in natural forests at the biome scale. Front Ecol Evol. 6:64.
  • Li M-F, Tang X-P, Wu W, Liu H-B. 2013. General models for estimating daily global solar radiation for different solar radiation zones in mainland China. Energy Convers Manage. 70:139–148.
  • Living Planet Report. 2020. Bending the curve of biodiversity loss, Available online: https://f.hubspotusercontent20.net/hubfs/4783129/LPR/PDFs/ENGLISH-FULL.pdf. (accessed on 29 September 2021).
  • Louis J, Debaecker V, Pflug B, Main-Knorn M, Bieniarz J, Mueller-Wilm U, Cadau E, Gascon F. 2016. Sentinel-2 Sen2Cor: L2A processor for users. Proceedings of the 2016 Living Planet Symposium; May 9-13; Prague, Czech Republik; p. 1–8.
  • Lv T, Zhou X, Tao Z, Sun X, Wang J, Li R, Xie F. 2021. Remote sensing-guided spatial sampling strategy over heterogeneous surface ground for validation of vegetation indices products with medium and high spatial resolution. Remote Sens. 13(14):2674.
  • Markwell J, Osterman JC, Mitchell JL. 1995. Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynth Res. 46(3):467–472.
  • Martins VS, Barbosa CCF, De Carvalho LAS, Jorge DSF, Lobo F, Novo E. 2017. Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes. Remote Sens. 9(4):322.
  • Masemola C, Cho MA, Ramoelo A. 2016. Comparison of Landsat 8 OLI and Landsat 7 ETM + for estimating grassland LAI using model inversion and spectral indices: case study of Mpumalanga, South Africa. Int J Remote Sens. 37(18):4401–4419.
  • mCG 1997. 1: 1 000 000 Scale Geological Map of the Republic of South Africa and the Kingdoms of Lesotho and Swaziland. South Africa: Council for Geosciences Pretoria.
  • Mucina L, Rutherford MC. 2006. The vegetation of South Africa, Lesotho and Swaziland. Pretoria (South Africa): South African National Biodiversity Institute.
  • Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y, Smith GR, et al. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens Environ. 83(1-2):214–231.
  • Pastor-Guzman J, Brown L, Morris H, Bourg L, Goryl P, Dransfeld S, Dash J. 2020. The sentinel-3 OLCI terrestrial chlorophyll index (OTCI): algorithm improvements, spatiotemporal consistency and continuity with the MERIS archive. Remote Sensing. 12(16):2652.
  • Ramoelo A, Cho MA. 2018. Explaining leaf nitrogen distribution in a semi-arid environment predicted on Sentinel-2 imagery using a field spectroscopy derived model. Remote Sens. 10(2):269.
  • Ramoelo A, Cho MA, Mathieu R, Madonsela S, Van De Kerchove R, Kaszta Z, Wolff E. 2015. Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data. Int J Appl Earth Obs Geoinf. 43:43–54.
  • Schloderer G, Bingham M, Awange JL, Fleming KM. 2011. Application of GNSS-RTK derived topographical maps for rapid environmental monitoring: a case study of Jack Finnery Lake (Perth, Australia). Environ Monit Assess. 180(1-4):147–161.
  • Skidmore AK, Coops NC, Neinavaz E, Ali A, Schaepman ME, Paganini M, Kissling WD, Vihervaara P, Darvishzadeh R, Feilhauer H, et al. 2021. Priority list of biodiversity metrics to observe from space. Nat Ecol Evol. 5(7):896–906.
  • Svinurai W, Hassen A, Tesfamariam E, Ramoelo A. 2021. Modelled effects of grazing strategies on native grass production, animal intake and growth in Brahman steers. Afr J Range Forage Sci. 38(sup1):S41–S51.
  • Van Engelen V, Dijkshoorn J. 2013. Global and national soils and terrain digital databases (SOTER). Report-ISRIC World Soil Information. 2013 (04):1–198.
  • Van Staden P, Bredenkamp G. 2005. Major plant communities of the Marakele National Park. Koedoe. 48(2):59–70.
  • Verhoef W. 1984. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens Environ. 16(2):125–141.
  • Wang X, Jia K, Liang S, Li Q, Wei X, Yao Y, Zhang X, Tu Y. 2017. Estimating fractional vegetation cover from landsat-7 ETM + reflectance data based on a coupled radiative transfer and crop growth model. IEEE Trans Geosci Remote Sensing. 55(10):5539–5546.
  • Weiss M, Baret F. 2020. Available online: 762 S2ToolBox Level 2 products: LAI, FAPAR, FCOVER. Version 2.0. http://step.esa.int/docs/extra/ATBD_S2ToolBox_V2.0.pdf. (accessed on 15 July 2021)
  • Xie Q, Dash J, Huete A, Jiang A, Yin G, Ding Y, Peng D, Hall CC, Brown L, Shi Y, et al. 2019. Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery. Int J Appl Earth Obs Geoinf. 80:187–195.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.