Determining the parameters of arable land fragmentation

Q4 Earth and Planetary Sciences
P. Bożek
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引用次数: 3

Abstract

Unfavorable spatial structure of arable land located in Małopolska is a major obstacle in conducting agricultural activity. Arable lands located in the southern part of Małopolska are fragmented, have small area, and irregular shapes. Agricultural activity on land with an unfavorable spatial structure is associated with an increase in production costs, which directly results in lower income of farms. One of the methods of improving spatial conditions is to implement land consolidation works. They allow to organize the spatial structure, increase the area of agriculturally used parcels, while reducing their number. The article presents a new approach in determining the parameters of land fragmentation. GIS tools were used to identify areas with unfavorable spatial parameters. The methodology which allows for the processing, filtration of source data, determination and visualization of land fragmentation parameters is discussed. As part of the research, the Binning method was used, which allows to visualize the phenomenon and simultaneously reduce the data used. In the work, a detailed assessment of land fragmentation parameters was made, which can be used in agricultural land management works. Analyzes have shown that the southern areas of the Nowy Targ County are characterized by intensive fragmentation of arable land. There are also unfavorable parameters related to the elongation and shape of parcels in the discussed areas.
耕地破碎化参数的确定
Małopolska地区耕地空间结构不利是农业生产活动的主要障碍。Małopolska南部的耕地破碎,面积小,形状不规则。在空间结构不利的土地上进行农业活动,生产成本增加,直接导致农场收入降低。改善空间条件的方法之一是实施土地整理工程。它们可以组织空间结构,增加农业用地的面积,同时减少其数量。本文提出了一种确定土地破碎化参数的新方法。利用GIS工具识别不利空间参数的区域。讨论了处理、过滤源数据、确定和可视化土地破碎化参数的方法。作为研究的一部分,使用了宾宁方法,可以将现象可视化,同时减少使用的数据。在工作中,对土地破碎化参数进行了详细的评价,为农用地管理工作提供了依据。分析表明,今塘县南部地区耕地细碎化程度较高。在讨论的区域中,也存在与延伸率和包裹形状有关的不利参数。
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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来源期刊
Geodeziya i Kartografiya
Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.60
自引率
0.00%
发文量
73
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