通过利用十个当代数据集,验证和完善中国西南部的耕地地图
Yifeng Cui1,2,3, Jinwei Dong4,5, Chao Zhang6
1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|June 22, 2024
概括
这项研究通过结合多个遥感地图和独立验证数据,为中国西南部创造了一个更准确的耕地地图. 改进后的地图有助于在复杂的,未经调查的地区改善农业监测.
科学领域:
- 农业遥感 农业遥感
- 地理空间分析是什么?
- 土地覆盖面的绘制地图.
背景情况:
- 准确的耕地地图对于农业监测至关重要,但存在不一致性,特别是在中国西南部等复杂的地形中.
- 在监测不足的地区,有限的验证数据阻碍了现有的遥感农田地图的可靠性.
研究的目的:
- 使用独立验证数据,纠正和完善现有的耕地地图.
- 为了生成一个高精度,合成的农田地图 (CroplandSyn) 在中国西南部.
- 在具有挑战性的地区为农业和土地管理提供有价值的见解和数据.
主要方法:
- 独立于地图制造商,使用开源验证数据集构建多源样本.
- 修正了十个当代农田地图的准确性,并分析了其中的不一致性.
- 通过自适应值方法整合十个最新的最先进的遥感地图,生成了CroplandSyn.
主要成果:
- 精制的农田地图 (CroplandSyn) 与单个地图相比显示出更高的准确性.
- 在县级和县级的验证显示,与国家土地调查数据更接近.
- 开发的精细地图和验证样本是公开的.
结论:
- 该研究成功地为监测不足的地区制作了更可靠的耕地地图.
- 该方法为改善复杂地理区域的耕地绘图准确度提供了一个框架.
- 公开可用的数据支持加强农业实践和土地管理策略.
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