Study on paddy phenomics ecosystem and yield estimation using space-borne multi sensor remote sensing data

Authors

  • MAHESH PALAKURU School of Civil Engineering, Vellore Institute of technology (VIT), Vellore, Tamil Nadu
  • KIRAN YARRAKULA Centre for Disaster Mitigation and Management (CDMM), Vellore Institute of technology (VIT), Vellore, Tamil Nadu

DOI:

https://doi.org/10.54386/jam.v21i2.228

Keywords:

Phenology, rice,, MODIS EVI, SMAP, yield, remote sensing

Abstract

In the present study three phenological stages of rice namely transplanting stage, heading stage and harvesting stages were derived from MODIS EVI data. SMAP L-band was used to identify the puddling field. The performance of the estimated phenological stages from MODIS EVI and SMAP were evaluated with field data and root mean square error (RMSE) was calculated. The rice yield estimation was also performed by application of second order polynomial method. The performance of the polynomial model showed good results with the coefficient of determination of 0.74. 

Downloads

Published

01-06-2019

How to Cite

MAHESH PALAKURU, & KIRAN YARRAKULA. (2019). Study on paddy phenomics ecosystem and yield estimation using space-borne multi sensor remote sensing data. Journal of Agrometeorology, 21(2), 171–175. https://doi.org/10.54386/jam.v21i2.228

Issue

Vol. 21 No. 2 (2019): June

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.