在小型农场使用无人驾驶飞行器图像和地理空间云计算基础设施进行作物映射
Shaeden Gokool1, Maqsooda Mahomed1, Kiara Brewer2
1Centre for Water Resources Research, School of Agricultural, Earth and Environmental Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3209, South Africa.
Heliyon
|March 8, 2024
概括
使用无人机和谷歌地球引擎 (GEE) 的精准农业可以以91%的准确度为小农场绘制土地使用地图. 这项技术提供了创新的,低成本的解决方案,以改善发展中国家的农场管理和生产力.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 地理空间计算是什么?
背景情况:
- 小型农场对全球粮食安全至关重要,但往往缺乏最佳生产力的资源.
- 精准农业,特别是使用无人机 (UAV),为提高农场效率提供了机会.
- 地缘空间云计算的进步使复杂的遥感分析成为可能.
研究的目的:
- 评估谷歌地球引擎 (GEE) 在处理高分辨率无人机图像方面的有效性.
- 为了证明GEE在绘制土地利用地表 (LULC) 的能力,在小农场.
- 评估这种方法在改善发展中国家农业管理方面的潜力.
主要方法:
- 处理和分析非常高空间分辨率的多光谱无人机图像.
- 使用谷歌地球引擎 (GEE) 的地理空间云计算平台进行图像分析.
- 在0.50米的空间分辨率下绘制土地使用地表 (LULC).
主要成果:
- 成功地绘制了LULC在小农场的地图,空间分辨率为0.50米.
- 在LULC分类中实现了91%的整体准确性.
- 展示了GEE作为先进无人机图像分析和快速结果传播的强大平台.
结论:
- 谷歌地球引擎对于处理小型农场应用的无人机图像非常有效.
- 这种方法为优化农业管理提供了一个有希望的,基于证据的解决方案.
- 这些发现支持实施现代精准农业技术,以提高小农生产率.
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