Abstract
Timely assessment of area under different standing crops and their spatial distribution is essential for irrigation planning and management in command areas. The conventional methods of collecting information on crop acreage are time-consuming and uneconomical, especially when large areas are involved. The modern Remote Sensing technology provides real-time, accurate and cost-effective data on crop acreage due to its multi-spatial, multi-spectral and multi-temporal nature. The attempt has been made in this study to use the multi-date data of RESOURCESAT sensors like AWiFS, LISS-III and LISS-IV as well as multispectral data of IKONOS with suitable digital imaging processing techniques to identify Sugarcane, which is a long duration crop and Onion, which is a short duration crop, in order to plan need based irrigation facilities, to collect the revenue from the farmers in the form of water assessment, better crop management and future crop planning.
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 callDisclaimer: 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.
