Volume IV-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 229-232, 2018
https://doi.org/10.5194/isprs-annals-IV-5-229-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 229-232, 2018
https://doi.org/10.5194/isprs-annals-IV-5-229-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Nov 2018

15 Nov 2018

CHANGE DETECTION OF POLARIMETRIC SAR DATA FOR MONITORING OF AGRICULTURAL AREAS

N. Varia1, N. Davawala1, S. Chirakkal2, D. Haldar3, R. Ghosh1, and D. Putrevu2 N. Varia et al.
  • 1Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India
  • 2Microwave Techniques Development Division, Space Applications Centre, ISRO, Ahmedabad, India
  • 3Indian Institute of Remote Sensing, Dehradun, India

Keywords: Change Detection, Test statistic, Hypothesis testing, Polarimetric SAR

Abstract. Change detection is important to understand the patterns of transition in multi-temporal SAR acquisitions over same geographical areas. In this work, we implemented a test statistic on covariance matrices for change detection. The RADARSAT-2 data spanning the agricultural land of Central Hisar Farm in Haryana, India was used. Hypothesis testing on test-statistic was done by a pre-decided significance level. A change map was plotted and the areas with ‘change’ and ‘no change’ were determined. Analysis of changing trends of different crop lifecycles is done. This study is useful in making important agricultural crop predictions.