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首页> 外文会议>Agriculture and Hydrology Applications of Remote Sensing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6411 >Identification of sugarcane and onion crops using digital image processing of multidate, multisensor high resolution satellite data
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Identification of sugarcane and onion crops using digital image processing of multidate, multisensor high resolution satellite data

机译：使用多日期，多传感器高分辨率卫星数据的数字图像处理识别甘蔗和洋葱作物

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摘要

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.
机译：及时评估不同作物的面积及其空间分布对于指挥区的灌溉计划和管理至关重要。收集有关作物种植面积信息的常规方法既耗时又不经济，尤其是在涉及大面积种植时。由于具有多空间，多光谱和多时间特性，现代遥感技术可提供有关作物种植面积的实时，准确和经济高效的数据。本研究尝试使用RESOURCESAT传感器（如AWiFS，LISS-Ⅲ和LISS-Ⅳ）的多日期数据以及IKONOS的多光谱数据，采用合适的数字成像处理技术来识别甘蔗，这是一个长期的过程作物和洋葱（一种短期作物），以计划基于需求的灌溉设施，以水评估，更好的作物管理和未来作物计划的形式从农民那里获得收益。

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