Automated Detection of On-Farm Irrigation Reservoirs in Two Critical Groundwater Regions of Arkansas

IF 0.4 Q4 GEOGRAPHY
Daniel D. Shults, John W. Nowlin, Joseph H. Massey, M. Reba
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引用次数: 0

Abstract

In eastern Arkansas, the use of surface water for crop irrigation is steadily increasing in response to declining aquifers. Effective conjunctive water management requires accurate and timely information on the locations, sizes, and numbers of on-farm irrigation reservoirs. A method for remotely locating and characterizing on-farm reservoirs was developed using relative elevation and near-infrared imagery. With 62% accuracy, the method automatically identified 429 irrigation reservoirs within a 1.9-Mha area in less than an hour using an off-the-shelf laptop. Reservoirs not accurately identified (i.e., false negatives) were caused by the presence of vegetation or turbidity within the reservoirs. There were no false positive detections. This approach for identifying elevated reservoirs is applicable across the Mississippi Alluvial Plain (MAP) that encompasses over 4-Mha of irrigated cropland and other agricultural areas having low-relief.
自动检测阿肯色州两个重要地下水区的农田灌溉水库
在阿肯色州东部,由于含水层不断减少,作物灌溉使用地表水的情况也在稳步增加。有效的联合水管理需要准确、及时地了解农田灌溉水库的位置、规模和数量。利用相对高程和近红外图像,开发了一种远程定位和描述农田水库特征的方法。该方法使用现成的笔记本电脑,在不到一个小时的时间内自动识别了 1.9 公顷区域内的 429 座灌溉水库,准确率达 62%。未能准确识别的水库(即假阴性)是由于水库内存在植被或浑浊度造成的。没有出现假阳性检测结果。这种识别高位水库的方法适用于整个密西西比冲积平原 (MAP),该平原包括超过 400 万公顷的灌溉耕地和其他低洼农业区。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
22
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