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A contemporary decennial examination of changing agricultural field sizes using Landsat time series data

机译:使用Landsat时间序列数据对变化的农田规模进行当代十年期检查

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摘要

Field size distributions and their changes have not been studied over large areas as field size change datasets are not available. This study quantifies agricultural field size changes in a consistent manner using Landsat satellite data that also provide geographic context for the observed decadal scale changes. Growing season cloud‐free Landsat 30 m resolution images acquired from 9 to 25 years apart were used to extract field object classifications at seven sites located by examination of a global agricultural yield map, agricultural production statistics, literature review, and analysis of the imagery in the US Landsat archive. High spatial resolution data were used to illustrate issues identifying small fields that are not reliably discernible at 30 m Landsat resolution. The predominant driver of field size change was attributed by literature review. Significant field size changes were driven by different factors, including technological advancements (Argentina and USA), government land use and agricultural policies (Malaysia, Brazil, France), and political changes (Albania and Zimbabwe). While observed local field size changes were complex, the reported results suggest that median field sizes are increasing due to technological advancements and changes to government policy, but may decrease where abrupt political changes affect the agricultural sector and where pastures are converted to arable land uses. In the limited sample considered, median field sizes increased from 45% (France) to 159% (Argentina) and decreased from 47% (Brazil) to 86% (Albania). These changes imply significant impacts on landscape spatial configuration and land use diversity with ecological and biogeochemical consequences.
机译:由于没有可用的字段大小变化数据集,因此尚未在大面积上研究字段大小分布及其变化。这项研究使用Landsat卫星数据以一致的方式量化了农田的大小变化,这些数据还为观测的年代尺度变化提供了地理背景。通过检查全球农业产量地图,农业生产统计数据,文献综述以及对图像的分析,使用从9到25年间隔获取的生长季无云Landsat分辨率为30 m的图像(相距9到25年)来提取七个地点的野外物体分类。美国Landsat档案。高空间分辨率数据用于说明识别在30 m Landsat分辨率下无法可靠识别的小区域的问题。领域变化的主要驱动因素是文献综述。田间规模的显着变化是由多种因素驱动的,包括技术进步(阿根廷和美国),政府土地使用和农业政策(马来西亚,巴西,法国)以及政治变化(阿尔巴尼亚和津巴布韦)。虽然观察到的当地田间面积变化很复杂,但报告的结果表明,由于技术进步和政府政策的变化,田间面积中位数正在增加,但在突然的政治变化影响农业部门以及牧场转为可耕地用途的地方,田间面积中位数可能会减小。在有限的样本中,中场大小从45%(法国)增加到159%(阿根廷),从47%(巴西)减少到86%(阿尔巴尼亚)。这些变化暗示着对景观空间配置和土地利用多样性的重大影响,并具有生态和生物地球化学后果。

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