Digital inventory of agricultural land plots in the Kemerovo Region

IF 1.3 Q4 FOOD SCIENCE & TECHNOLOGY Foods and Raw Materials Pub Date : 2022-06-22 DOI:10.21603/2308-4057-2022-2-529
A. Rada, A. Kuznetsov
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引用次数: 3

Abstract

Cadastral and geodetic land works are expensive, which makes aerial photography extremely valuable for land traceability and inventory. The present research objective was to develop a new digital survey technology for registration of agricultural lands. We assessed the accuracy of the new method and evaluated its decision support options. The study featured the case of the Kemerovo Region (Kuzbass), Russia. The aerial survey took place in 2021 and involved 17 municipalities of the Kemerovo Region. The software and hardware complex included an unmanned aerial vehicle (UAV) and a module for aerial photography. Photogrammetric, cartometric, and satellite methods were used to define the coordinates of feature points. We developed new software (Sovhoz.avi) to perform the land inventory. The photogrammetric and cartographic methods proved efficient in determining the feature points and boundaries of land plots. They also appeared accurate enough for land inventory and decision support. The study updated the available land inventory data. About 30% of all land plots were recorded incorrectly; some plots marked as agricultural appeared to belong to the local forest reserves or urban territories. Incorrect data (1.64%) were excluded from the official inventory. The survey covered a total area of 41 000 ha and revealed 1700 illegally used land plots. The updated inventory of unused lands included 3825 new plots (163 400 ha), which can attract prospective investors. The results can be used by the local authorities to make land management decisions and identify illegal land use.
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克麦罗沃地区农业用地数字清单
地籍和大地测量土地工作成本高昂,这使得航空摄影对土地可追溯性和库存极为宝贵。目前的研究目标是开发一种新的农业土地登记数字调查技术。我们评估了新方法的准确性,并评估了其决策支持选项。该研究以俄罗斯克麦罗沃地区(库兹巴斯)为例。航空调查于2021年进行,涉及克麦罗沃地区的17个市镇。软件和硬件复合体包括一架无人机和一个航空摄影模块。使用摄影测量、立体测量和卫星方法来定义特征点的坐标。我们开发了新的软件(Sovhoz.avi)来执行土地清查。事实证明,摄影测量和制图方法在确定地块的特征点和边界方面是有效的。它们似乎也足够准确,可以用于土地清查和决策支持。该研究更新了现有的土地清查数据。大约30%的地块记录错误;一些被标记为农业的地块似乎属于当地的森林保护区或城市地区。不正确的数据(1.64%)被排除在官方清单之外。调查共涉及四万一千公顷土地,并揭露一千七百宗非法使用土地。更新的未使用土地清单包括3825块新地块(163400公顷),可以吸引潜在投资者。这些结果可供地方当局用于做出土地管理决策和识别非法土地使用。
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来源期刊
Foods and Raw Materials
Foods and Raw Materials FOOD SCIENCE & TECHNOLOGY-
CiteScore
3.70
自引率
20.00%
发文量
39
审稿时长
24 weeks
期刊介绍: The journal «Foods and Raw Materials» is published from 2013. It is published in the English and German languages with periodicity of two volumes a year. The main concern of the journal «Foods and Raw Materials» is informing the scientific community on the works by the researchers from Russia and the CIS, strengthening the world position of the science they represent, showing the results of perspective scientific researches in the food industry and related branches. The main tasks of the Journal consist the publication of scientific research results and theoretical and experimental studies, carried out in the Russian and foreign organizations, as well as on the authors'' personal initiative; bringing together different categories of researchers, university and scientific intelligentsia; to create and maintain a common space of scientific communication, bridging the gap between the publications of regional, federal and international level.
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