The performance evaluation of surface irrigation projects has been hitherto done at regional or project level due to the non-availability of a detailed spatial database of irrigation projects. Recent advancements in the capabilities of remote sensing techniques and Geographical Information System (GIS) have opened avenues of field level mapping and database creation for irrigation projects. In view of this, the application of remote sensing and GIS in command area mapping and detailed performance evaluation at the sub-project level (division level) was attempted, in the present study. The command area of Upper Wardha irrigation project in Amravati district of Maharashtra, India was mapped for irrigation infrastructures (canals, hydraulic structures, etc.), crop acreage, and other infrastructures (viz. road, railway, settlement, etc.) using high resolution Cartosat-1, IRS P6 LISS-IV data, and temporal IRS P6 LISS-III data. The performance of the irrigation project was evaluated using eight comparative indicators classified under three groups, namely agricultural performance, water-use performance, and physical performance. Remote sensing data along with field observed data were used to derive inputs for these performance indicators. The results indicate that the project has a positive impact on agriculture and economic growth of the region; however, water has been excessively used in some parts of the command area while supply has been inadequate in the tail region of the command. The water supply in the command area was reliable, however, not equally distributed among all the distributaries. The overall performance of the irrigation project was evaluated, and the divisions, which need immediate attention to improve the efficiency, were identified in this study.

中文翻译：

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遥感和GIS在分层次灌溉工程绩效评价中的应用

由于没有详细的灌溉项目空间数据库，迄今为止，地表灌溉项目的绩效评估是在区域或项目级别进行的。遥感技术和地理信息系统 (GIS) 能力的最新进展为灌溉项目的田间制图和数据库创建开辟了道路。鉴于此，本研究尝试将遥感和GIS在子项目级（司级）的指挥区制图和详细绩效评估中的应用。印度马哈拉施特拉邦 Amravati 区的 Upper Wardha 灌溉项目指挥区被绘制为灌溉基础设施（运河、水利结构等）、作物种植面积和其他基础设施（即公路、铁路、定居点等）。) 使用高分辨率 Cartosat-1、IRS P6 LISS-IV 数据和时间 IRS P6 LISS-III 数据。灌溉项目的绩效使用八项比较指标进行评估，分为三组，即农业绩效、用水绩效和物理绩效。遥感数据和实地观测数据被用来推导出这些性能指标的输入。结果表明，该项目对该地区的农业和经济增长产生了积极影响；然而，指挥区部分地区用水过度，指挥区尾部地区供水不足。指挥区供水可靠，但在所有支流之间分布不均。对灌溉项目的整体绩效进行了评估，各部门、