追踪耕地转型:对美国土地覆盖面变化数据的比较分析
Gray Martin1, Kemen Austin2, Tyler Lark3
1RTI International, Research Triangle Park, North Carolina, United States of America.
PloS one
|March 18, 2025
概括
对比美国的耕地变化数据显示,LCMAP (土地变化监测,评估和预测) 显示了更稳定的耕地,可能是由于包括管理的草原. 尽管存在差异,但农田净扩张在数据集中是相似的.
科学领域:
- 遥感和地理空间分析
- 土地使用和土地覆盖变化 (LULCC)
- 农业监测 农业监测 农业监测
背景情况:
- 美国有许多土地覆盖数据集存在,支持各种应用,如生物燃料监管和息地评估.
- 数据来源,收集频率,定义和空间尺度的差异阻碍了直接比较和趋势分析.
- 不一致的土地覆盖数据使利益相关者难以理解和可靠地报告美国土地覆盖趋势.
研究的目的:
- 用美国地质调查局的土地变化监测,评估和预测 (LCMAP) 数据集来评估耕地变化.
- 将LCMAP衍生的耕地变化与2008-2017年期间的三个已建立的土地覆盖数据集进行比较.
- 确定差异的原因,并指导针对特定研究问题的适当数据源选择.
主要方法:
- 使用LCMAP数据集对美国 (2008-2017年) 进行的农田变化分析.
- 用三个现有数据集进行比较分析:国家资源目录 (NRI),Lark等. (2020) 来自农田数据层 (CDL),以及波塔波夫等人. (2022年) 的第二季.
- 在LCMAP和Lark等人之间进行的像素级分歧分析. (2020) 以确定差异的原因.
主要成果:
- 据LCMAP报道,农田比较稳定,非农田比较不稳定,这归因于其更广泛的农田定义,包括管理的草原.
- 在所有四个数据集 (5.18-6.33万英) 中,净耕地扩张是可比的,但地理模式和转换类型各不相同.
- LCMAP显示大平原南部的扩张较大;其他数据集显示中西部的扩张. 定义差异占LCMAP和Lark等之间的像素不一致的86%. (2020年) 的时间.
结论:
- LCMAP的耕地扩张可能包括更多的自然区域,而其他数据集捕捉了管理牧场的转换.
- 尽管定义和地理重点不同,但净耕地扩张估计显示了广泛的共识.
- 土地覆盖数据源的选择应以特定的研究目标为指导,例如息地评估或土壤碳研究.
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