Abstract

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.

中文翻译：

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基于空间探测材料的俄罗斯欧洲南部南部灌溉土地状况评估方法学方法的发展

摘要

本文概述了基于Landsat-8卫星的卫星图像和地面观测资料评估俄罗斯欧洲南部灌溉土地状况的方法学方法的主要规定。以此为基础的可视化和自动化方法被用于从卫星图像中解码出灌溉土地，并考虑了使用以下监测灌溉土地状态所必需的指标进行可能的确定：（1）灌溉地块面积， （2）灌溉地块的长期休耕面积，（3）不同作物下的灌溉地面积，（4）由于耕种状态和土壤特性而出现灌溉地的原因。开展的工作是建立基于遥感的灌溉土地监测的第一步。本文使用了最佳的卫星图像调查类型和日期，开发了解密功能来评估农作物的状况和灌溉土壤的特性，并开发了一种自动解码卫星图像的技术，可基于卫星图像识别灌溉场的斑点。决策树算法。