首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XV >Seasonal spectral response patterns of winter wheat canopy for crop performance monitoring
【24h】

Seasonal spectral response patterns of winter wheat canopy for crop performance monitoring

机译:冬小麦冠层的季节性光谱响应模式用于作物性能监测

获取原文
获取原文并翻译 | 示例

摘要

Agricultural monitoring is an important and continuously spreading activity in remote sensing and applied Earth observations. It supplies valuable information on crop condition and growth processes. Much research has been carried out on vegetation phenology issues. In agriculture, the timing of seasonal cycles of crop activity is important for species classification and evaluation of crop development, growing conditions and potential yield. The correct interpretation of remotely sensed data, however, and the increasing demand for data reliability require ground-truth knowledge of the seasonal spectral behaviuor of different species and their relation to crop vigour. For this reason, we performed ground-based study of the seasonal response of winter wheat reflectance patterns to crop growth patterns. The goal was to quantify crop seasonally by establishing empirical relationships between plant biophysical and spectral properties in main ontogenetic periods. Phenology and agr-specific relationships allow to assess crop condition during different portions of the growth cycle and thus effectively track plant development and make yield predictions. The applicability of different vegetation indices for monitoring crop seasonal dynamics, health condition, and yield potential was examined.
机译:农业监测是遥感和应用地球观测中的一项重要且持续不断的活动。它提供有关作物状况和生长过程的有价值的信息。关于植被物候问题已经进行了大量研究。在农业中,作物活动季节性周期的时机对于物种分类和作物生长,生长条件和潜在产量的评估很重要。然而,对遥感数据的正确解释以及对数据可靠性的日益增长的需求,需要对不同物种的季节性光谱行为及其与作物活力的关系有真实的认识。因此,我们对冬小麦反射率模式对作物生长模式的季节性响应进行了地面研究。目的是通过建立主要个体发育时期植物生物物理特性与光谱特性之间的经验关系来对作物进行季节性定量。物候学和特定于农业的关系可以评估生长周期不同部分的作物状况,从而有效地跟踪植物发育并做出产量预测。研究了不同植被指数在监测作物季节动态,健康状况和单产潜力方面的适用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号