Abstract

Crop identification and acreage estimation were challenging for remote sensing scientists, especially when cropping season coincides with monsoon due to cloud coverage in optical data. Synthetic Aperture Radar (SAR) data hasproved to be an alternative for overcoming the issue of cloudsduring the crop growth period and aid in crop identification. Crop identification has already reached the stage of operational services using the SAR data, while the crop condition assessment is still developing due to variations in crop scattering mechanisms. Automated algorithms are promising tools for capturing the wide variation in spatial and temporal data scattering properties.The importance of automation in GIS is evident in recent years from global research.Tracking of growth stages of a crop has quantum applications in yield forecast and formulating marketing strategies.To quantify the crop condition during the crop growth period, an automated tool to capture various stages of the crop, its conditions, and documentation was developed using the preprocessed SAR images derived from a fully automated processing chain module available with MAPscape software. The outputs of temporal Band Sequential (BSQ) images and Start of Season (SOS) for the analysis crop from MAPscape software were used as input for the automation tool to extract crop conditions viz., failed sowing, crop failure, and a good crop. The backscatter signatures developed from ground truth data for various crop conditions were used to validate the product.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.