Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones

Y. Cohen, N. Agam, I. Klapp, A. Karnieli, O. Beeri, V. Alchanatis, N. Sochen
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引用次数: 6

Abstract

To use VRI systems, a field is divided into irrigation management zones (IMZs). While IMZs are dynamic in nature, most of IMZs prescription maps are static. High-resolution thermal images (TI) coupled with measured atmospheric conditions have been utilized to map the within-field water status variability and to delineate in-season IMZs. Unfortunately, spaceborne TIs have coarse spatial resolution and aerial platforms require substantial financial investments, which may inhibit their large-scale adoption. Three approaches are proposed to facilitate large-scale adoption of TI-based IMZs: 1) increase of the capacity of aerial TI by enhancing their spatial resolution; 2) sharpening the spatial resolution of satellite TI by fusing satellite multi-spectral images in the visible-near-infrared (VIS-NIR) range; 3) increase the capacity of aerial TI by fusing satellite multi-spectral images in the VIS-NIR range. The scientific and engineering basis of each of the approaches is described together with initial results.
促进大规模采用基于热成像的图像作为生产动态灌溉管理区的关键输入的未来方法
为了使用VRI系统,将一块田地划分为灌溉管理区(IMZs)。虽然imz本质上是动态的,但大多数imz的处方图是静态的。利用高分辨率热图像(TI)与测量的大气条件相结合,绘制了场内水状态变化图,并划定了季节性imz。不幸的是,星载ti具有粗糙的空间分辨率,空中平台需要大量的财政投资,这可能会阻碍它们的大规模采用。提出了三种促进大规模采用基于TI的imz的方法:1)通过提高空中TI的空间分辨率来增加其容量;2)通过融合可见光-近红外(VIS-NIR)范围内的卫星多光谱图像,锐化卫星TI的空间分辨率;3)通过融合近可见光-近红外范围内的卫星多光谱图像,增加航空TI的容量。描述了每种方法的科学和工程基础以及初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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