Area Assessment for Rice Crop in Thiruvarur District Assimilating Sentinel 1A Satellite Data

S. Satheesh

Department of Remote Sensing and Geographic Information System, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

S. Pazhanivelan *

Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

R. Kumaraperumal

Department of Remote Sensing and Geographic Information System, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

S. Radhamani

Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

K. P. Ragunath

Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

N. S. Sudarmanian

Krishi Vigyan Kendra, Aruppukottai, Virudhunagar, India.

*Author to whom correspondence should be addressed.


Abstract

This study proposes an effective method to map rice area using the Sentinel-1A SAR (Synthetic Aperture Radar) time series data over the Thiruvarur district during samba 2021. Fully automated MAPscape-Rice software was used to pre-process the SAR data and extraction of multi-temporal features. The rice-growing area was estimated based on the extracted multi-temporal features and statistics were derived at district and block level in Thiruvarur district. The study area registered a total rice area of 127027 ha; among the blocks, the Kottur block recorded the largest area of 16615 ha and the lowest area of 6865 ha was recorded in the Thiruvarur block. The estimated rice area was validated with the observed rice area in the Thiruvarur district using accuracy assessment, which indicates an overall accuracy of 92.0 per cent and 0.84 kappa co-efficient.

Keywords: Rice area, Sentinel 1A, Synthetic Aperture Radar (SAR), Validation, Accuracy assessment


How to Cite

Satheesh, S., S. Pazhanivelan, R. Kumaraperumal, S. Radhamani, K. P. Ragunath, and N. S. Sudarmanian. 2022. “Area Assessment for Rice Crop in Thiruvarur District Assimilating Sentinel 1A Satellite Data”. International Journal of Environment and Climate Change 12 (10):1270-78. https://doi.org/10.9734/ijecc/2022/v12i1030924.