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A contemporary decennial examination of changing agricultural field sizes using Landsat time series data
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 s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020581/ https://www.ncbi.nlm.nih.gov/pubmed/27669424 http://dx.doi.org/10.1002/geo2.4 |
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author | White, Emma V. Roy, David P. |
author_facet | White, Emma V. Roy, David P. |
author_sort | White, Emma V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5020581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50205812016-09-23 A contemporary decennial examination of changing agricultural field sizes using Landsat time series data White, Emma V. Roy, David P. Geo Research Articles 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. John Wiley and Sons Inc. 2015 2015-04-07 /pmc/articles/PMC5020581/ /pubmed/27669424 http://dx.doi.org/10.1002/geo2.4 Text en © 2015 The Authors. Geo: Geography and Environment published by John Wiley & Sons Ltd and the Royal Geographical Society (with the Institute of British Geographers) This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles White, Emma V. Roy, David P. A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title | A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title_full | A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title_fullStr | A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title_full_unstemmed | A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title_short | A contemporary decennial examination of changing agricultural field sizes using Landsat time series data |
title_sort | contemporary decennial examination of changing agricultural field sizes using landsat time series data |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020581/ https://www.ncbi.nlm.nih.gov/pubmed/27669424 http://dx.doi.org/10.1002/geo2.4 |
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