Abstract
This paper outlines the intents to develop and assess remotely sensed spectral responses of Vigna radiata crop with an adaxial surface positioned at Aurangabad region by Latitude 19.897827 and Longitude 75.308666. Current exploration will be useful for crop surge monitoring centered on spectral features collected using ASD Field Spec 4 spectroradiometer intended for the estimation of photosynthetic pigments. The proposed approach resides preprocessing techniques followed via postprocessing methods instigated by python open source software. The preprocessing was prepared using parabolic correction technique with (.asd) files format. Spectral features were projected for detection of photosynthetic pigments using ten categories of indices. Among the diverse phonological patterns of crop progression, the respectable aggregate of a coefficient of correlations was found with fluctuating growth parameters at jointing phase of Vigna radiata. The spectral vegetation indices (SVI) desired for the investigation were composed at jointing and ripening crop phases. SVI was given superior outcomes with R2 values speckled between 0.91 and 0.99, in addition, good amount of correlation was observed in between NDVI and PSSR-a. The NDVI index was found to be the appropriate parameter for healthy crops and ARI2 was found appropriate for detection of disease crops. Multiple regression equations were used by means of stepwise regression technique using open source software.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
K. Pfitzner, A. Bollhofer et al., A standard design for collecting vegetation reference spectraimplementation and implications for data sharing. J. Spat. Sci. 52 (2006)
K. Muller, U. Bottcher, H. Kage, Analysis of vegetation indices derived from hyperspectral reflection measurements for estimating crop canopy parameters of oilseed rape, Brassica napus L. Biosyst. Eng. 101, 172–182 (2008)
E.I. Rabinowitch, Govindjee, The Role of Chlorophyll in Photosynthesis (Project Coordinator (MULLaRP), Indian Institute of Pulses Research)
A. Hueni, A. Bialek, Cause, effect, and correction of field spectroradiometer interchannel radiometric steps. IEEE J. Sel. Top. 10(4) (2017)
J.H. Wilson, C. Zhang, J.M. Kovacs, Separating crop species in northeastern ontario using hyperspectral data. Remote Sens. ISSN 2072–4292 (2014)
S.M. Arafat, M.A. Aboelghar, I.F. Ahmed, Crop discrimination using field hyper spectral remotely sensed data. Adv. Remote Sens. 63–70 (2013)
A.R. Mishra, D. Karimi, R. Ehsani, W.S. Lee, Identification Of citrus greening (HLB) using a VIS-NIR spectroscopy technique. Am. Soc. Agric. Biol. Eng. 55(2), 711–720 (2012). ISSN 2151-0032
B. Govaerts, N. Verhulst, The Normalized Difference Vegetation Index Green Seeker TM Handheld Sensor: Toward the Integrated Evaluation of Crop Management (International Maize and Wheat Improvement Center KatholiekeUniversity, Leuven, 2010)
A. Hueni, A. Bialek, Cause, effect, and correction of field spectroradiometer interchannel radiometric steps. IEEE J. 10(4) (2017)
J.W. Rouse et al., Monitoring vegetation systems in the Great Plains with ERTS. Third Earth Resources Technology Satellite–1 Symposium, vol. I, NASA SP-35
G.A. Blackburn, Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. Int. J. Remote Sens. 19 (1998)
A. Gitelson et al., Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochem. Photobiol. 75, 272–281 (2002)
A. Gitelson, M. Merzlyak et al., Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochem. Photobiol. 38–45 (2008)
Daughtry et al., Discriminating crop residues from soil by short-wave infrared reflectance. Agron. J. 93, 125–131 (2001)
Serrano et.al., Remote sensing of nitrogen and lignin in mediterranean vegetation from AVIRIS data: decomposing biochemical from structural signals. Remote Sens. Environ. 355–364 (2001)
J. Penuelas, I. Filella, J. Gamon, Assessing the photosynthetic radiation-use efficiency of emergent aquatic vegetation from spectral reflectance. Aquat. Bot. 58, 307–315 (1997)
J.A. Gamon, J. Penuelas, A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens. Environ. 41, 35–44 (1992)
Stepwise Regression, Chapter 311, NCSS Statistical software
Acknowledgements
Authors would like to thank technical supports under UGC SAP (II), DST-NISA, DRS phase-II, and DST-FIST for partial financial assistance to the Department of CS & IT, Dr. Babasaheb Ambedkar Marathwada University Aurangabad, India and also thanks to UGC for providing financial support under UGC-BSR research fellowship for a research study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Surase, R.R. et al. (2019). Reckoning of Photosynthetic Pigments Using Remotely Sensed Spectral Responses of Vigna Radiata Crop for Surge Monitoring. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_72
Download citation
DOI: https://doi.org/10.1007/978-981-13-1217-5_72
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1216-8
Online ISBN: 978-981-13-1217-5
eBook Packages: EngineeringEngineering (R0)