{"title":"农业土地利用动态--乌兹别克斯坦库姆库尔干区案例研究","authors":"K. Abdivaitov, J. Strobl","doi":"10.52939/ijg.v19i11.2921","DOIUrl":null,"url":null,"abstract":"In recent years, many investigators started using global land cover data sets for a variety of purposes. ArcGIS Living Atlas of the World offers access to a collection of geographic information from around the globe to perform different analyses including monitoring the status of agricultural lands. Timely and reliable Land Use and Cover Change information can be used for a better understanding of the dynamics of agricultural land use. Therefore, this research aims at analysing agricultural land loss or expansion in Kumkurgan district, Uzbekistan, using openly available global land cover data sets. Using high-resolution, open, accurate, comparable, and timely global land use/land cover data plays a critically important role in enabling dynamic change analysis. Such analysis has a remarkable impact, particularly for agricultural lands with the aim of their more effective use and addressing the ongoing demand for other land use types. In addition, these maps support agricultural land allocation decisions and further land use planning for sustainable development as well. We performed agricultural areas change analysis leveraging data from the Living Atlas infrastructure between 2017 and 2022, using ArcGIS Pro. To compare the results achieved from globally available online data sets, national summary statistics data on agriculture provided by the Chamber of State Cadastres was used. Our findings indicate that due to hilly terrain, the availability of valuable cropland is limited in comparison to other agricultural land use types like rangeland within the entire study area. Due to state land ownership and centralised planning, mostly two major cash crops - cotton and wheat - are cultivated in these areas. This research is intended as a baseline for ultimately establishing a methodology for the optimisation of agricultural land allocation to specific crops.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":" 31","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Agricultural Land Use Dynamics - A Case Study of Kumkurgan District, Uzbekistan\",\"authors\":\"K. Abdivaitov, J. Strobl\",\"doi\":\"10.52939/ijg.v19i11.2921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, many investigators started using global land cover data sets for a variety of purposes. ArcGIS Living Atlas of the World offers access to a collection of geographic information from around the globe to perform different analyses including monitoring the status of agricultural lands. Timely and reliable Land Use and Cover Change information can be used for a better understanding of the dynamics of agricultural land use. Therefore, this research aims at analysing agricultural land loss or expansion in Kumkurgan district, Uzbekistan, using openly available global land cover data sets. Using high-resolution, open, accurate, comparable, and timely global land use/land cover data plays a critically important role in enabling dynamic change analysis. Such analysis has a remarkable impact, particularly for agricultural lands with the aim of their more effective use and addressing the ongoing demand for other land use types. In addition, these maps support agricultural land allocation decisions and further land use planning for sustainable development as well. We performed agricultural areas change analysis leveraging data from the Living Atlas infrastructure between 2017 and 2022, using ArcGIS Pro. To compare the results achieved from globally available online data sets, national summary statistics data on agriculture provided by the Chamber of State Cadastres was used. Our findings indicate that due to hilly terrain, the availability of valuable cropland is limited in comparison to other agricultural land use types like rangeland within the entire study area. Due to state land ownership and centralised planning, mostly two major cash crops - cotton and wheat - are cultivated in these areas. 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引用次数: 0
摘要
近年来,许多调查人员开始将全球土地覆被数据集用于各种目的。ArcGIS Living Atlas of the World(ArcGIS 世界活地图集)提供了对全球地理信息集合的访问,可用于进行不同的分析,包括监测农业用地的状况。及时可靠的土地利用和植被变化信息可用于更好地了解农用土地利用的动态。因此,本研究旨在利用可公开获取的全球土地覆被数据集,分析乌兹别克斯坦库姆库尔干地区的农用土地流失或扩张情况。使用高分辨率、开放、准确、可比和及时的全球土地利用/土地覆被数据在进行动态变化分析方面发挥着极其重要的作用。此类分析具有显著的影响,特别是对农用土地的影响,目的是更有效地利用农用土地,并满足对其他土地利用类型的持续需求。此外,这些地图还支持农业用地分配决策和进一步的土地利用规划,以促进可持续发展。我们利用来自 Living Atlas 基础设施的数据,使用 ArcGIS Pro 对 2017 年至 2022 年期间的农业面积变化进行了分析。为了与全球可用的在线数据集取得的结果进行比较,我们使用了国家地籍局提供的国家农业汇总统计数据。我们的研究结果表明,由于丘陵地形,在整个研究区域内,与牧场等其他农业用地类型相比,宝贵耕地的可用性有限。由于国有土地所有权和集中规划,这些地区主要种植棉花和小麦这两种主要经济作物。这项研究的目的是作为一个基准,最终为优化特定作物的农业用地分配建立一套方法。
Agricultural Land Use Dynamics - A Case Study of Kumkurgan District, Uzbekistan
In recent years, many investigators started using global land cover data sets for a variety of purposes. ArcGIS Living Atlas of the World offers access to a collection of geographic information from around the globe to perform different analyses including monitoring the status of agricultural lands. Timely and reliable Land Use and Cover Change information can be used for a better understanding of the dynamics of agricultural land use. Therefore, this research aims at analysing agricultural land loss or expansion in Kumkurgan district, Uzbekistan, using openly available global land cover data sets. Using high-resolution, open, accurate, comparable, and timely global land use/land cover data plays a critically important role in enabling dynamic change analysis. Such analysis has a remarkable impact, particularly for agricultural lands with the aim of their more effective use and addressing the ongoing demand for other land use types. In addition, these maps support agricultural land allocation decisions and further land use planning for sustainable development as well. We performed agricultural areas change analysis leveraging data from the Living Atlas infrastructure between 2017 and 2022, using ArcGIS Pro. To compare the results achieved from globally available online data sets, national summary statistics data on agriculture provided by the Chamber of State Cadastres was used. Our findings indicate that due to hilly terrain, the availability of valuable cropland is limited in comparison to other agricultural land use types like rangeland within the entire study area. Due to state land ownership and centralised planning, mostly two major cash crops - cotton and wheat - are cultivated in these areas. This research is intended as a baseline for ultimately establishing a methodology for the optimisation of agricultural land allocation to specific crops.