Identification of sugarcane and onion crops using digital image processing of multidate multisensor high-resolution satellite data

Dhananjay S. Pandit; Yelisetti V. N. Krishna Murthy; V. Jayaraman

doi:10.1117/12.697882

7 December 2006 Identification of sugarcane and onion crops using digital image processing of multidate multisensor high-resolution satellite data

Dhananjay S. Pandit, Yelisetti V. N. Krishna Murthy, V. Jayaraman

Author Affiliations +

Proceedings Volume 6411, Agriculture and Hydrology Applications of Remote Sensing; 641108 (2006) https://doi.org/10.1117/12.697882
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

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.

Citation Download Citation

Dhananjay S. Pandit, Yelisetti V. N. Krishna Murthy, and V. Jayaraman "Identification of sugarcane and onion crops using digital image processing of multidate multisensor high-resolution satellite data", Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 641108 (7 December 2006); https://doi.org/10.1117/12.697882

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