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Development of Methodological Approaches for the Assessment of the Status of Irrigated Lands in the South of the European Part of Russia Based on Space-Surveying Materials

机译:基于空间测量材料,在俄罗斯南部南部灌溉土地状况评估方法论方法

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The article outlines the main provisions of the methodological approach to the assessment of the condition of irrigated lands in the south of the European part of Russia based on satellite imagery from Landsat-8 satellite and ground-based observations. The visual and automated methods based on it were used to decipher irrigated lands from satellite images, and their possible determination with the use of the following indicators necessary for the monitoring the state of irrigated lands was considered: (1) the area of irrigated massifs, (2) the area of a long-term fallow in irrigated massifs, (3) the area of irrigated fields under different crops, (4) the genesis of the spotting of irrigated fields due to the state of cultivated crops and soil properties. The performed work is the first step towards the establishment of the monitoring of irrigated lands based on remote sensing. The article used the optimal type and dates of surveying satellite images, developed decryption features to assess the condition of crops and the properties of irrigated soils, and developed a technology for the automated decoding of satellite images to identify the spotting of irrigated fields based on the algorithm of decision trees.
机译:本文概述了根据Landsat-8卫星和地面观测结果的卫星图像评估俄罗斯南部灌溉土地条件的方法论方法的主要规定。基于它的视觉和自动化方法用于破译来自卫星图像的灌溉陆地,并考虑了监测灌溉土地状况所需的以下指标的可能确定:(1)灌溉暴力面积, (2)灌溉灌溉灌溉的长期休耕地区,(3)不同作物下的灌溉领域面积,(4)由于培养作物和土壤性质的状态,灌溉领域的发现的成因。所表演的工作是基于遥感的灌溉陆地监测的第一步。本文使用了测量卫星图像的最佳类型和日期,开发了解密特征,以评估作物的条件以及灌溉土壤的性质,并开发了一种用于卫星图像的自动解码的技术,以确定灌溉场的斑点决策树算法。

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