使用手持式光谱辐射计数据检测土豆产量的敏感光谱波段和植被指数
Diego Gomez1, Pablo Salvador2, Juan Fernando Rodrigo2
1Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy.
Plants (Basel, Switzerland)
|December 17, 2024
概括
遥感精确地预测土豆产量,使用树冠反射率数据. 种植后56-100天的最佳测量显示了精准农业的关键光谱带和植被指数.
科学领域:
- 农业科学 农业科学
- 遥感技术 遥感技术 遥感技术
- 植物生理学作物生理学
背景情况:
- 精准农业利用遥感技术进行高效的作物管理.
- 树冠反射率为作物健康和产量潜力提供了非破坏性的洞察力.
- 马 (Solanum tuberosum L.) 产量预测需要优化数据采集策略.
研究的目的:
- 确定与产量相关的土豆树冠信号的遥感测量最佳时间窗口.
- 确定最有效的光谱波段 (350-2500nm) 和植被指数,以预测土豆的产量.
- 使用选定的光谱特征开发土豆产量的预测模型.
主要方法:
- 进行了一项为期两年的研究 (2020-2021),测量了六种土豆品种的植物对植物树冠反射率.
- 利用相关性分析和维度减小来识别与收益相关的光谱特征.
- 采用多重线性回归和Leave-One-Out交叉验证 (LOOCV) 来构建和验证收益预测模型.
主要成果:
- 确定了23个独立的光谱特征与土豆茎产量有显著的相关性.
- 吉特尔森和沃格尔曼指数是最重要的预测指标之一.
- 为了预测产量,最优的测量期是种植后56至100天.
- 开发的模型实现了702g的RMSE,其中%RMSE为29.2%.
结论:
- 遥感,特别是在种植后56-100天间测量的树冠反射率,对于预测土豆产量是有效的.
- 特定的光谱带和植被指数可以为精密土豆种植中的传感器应用量身定制.
- 这项研究支持精准农业的进步,通过改善作物管理,潜在地提高粮食安全.
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