在1985-2020年期间,中国主要谷物土地变化的数据集
Shidong Liu1, Li Wang2, Jie Zhang3
1Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Scientific data
|December 24, 2024
概括
这项研究创建了1985-2020年中国主要粮食土地 (MGL) 的高分辨率地图. 详细的MGL数据集对于粮食安全和可持续农业政策至关重要.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 准确的长期数据主要粮食用地 (MGL) 对于粮食安全和可持续的农业政策至关重要.
- 现有的MGL数据集缺乏详细分析所需的精细空间分辨率.
研究的目的:
- 为中国制造一个长期的,高分辨率的MGL分布图.
- 分析随着时间的推移MGL的变化,包括种植强度,收益和损失.
主要方法:
- 使用了Landsat图像和谷歌地球引擎 (GEE) 平台上的随机森林算法.
- 开发了中国MGL在1985-2020年期间的30米分辨率变化地图.
- 为MGL面积计算的种植强度,增长时间和损失时间.
主要成果:
- 生成的MGL地图显示了与年度谷物作物种植面积的国家统计数据的高度一致性.
- 使用3113个30米分辨率的现场调查样本进行验证,MGL的整体准确率为93.57%.
- 该研究提供了一个全面的数据集,详细介绍了MGL在中国的分布和变化.
结论:
- 开发的高分辨率MGL数据集为粮食安全评估和农业政策制定提供了关键信息.
- 该方法提供了一种可靠的方法,用于使用遥感数据进行长期,精细的土地覆盖面绘制.
- 免费使用的数据集支持进一步的研究和在农业用地管理方面的知情决策.
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