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Spectral and Agronomical Indicators of Crop Yield

机译：作物产量的光谱和农艺指标

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摘要

Being recognized as a powerful tool in many scientific and application fields, remote sensing enters recently still wider into its utilization stage when the goal is to bring the up-to-now investigation results to an operational use. Agricultural monitoring is among the priorities of remote sensing observations supplying early infonnation on the development and growth conditions of crops. Various approaches have been used for crop behavior assessment in order to provide objective, timely and quantitative yield forecasts at regional and national scales. Among these approaches are phenology tracking, agro-meteorological modeling, remote sensing data implementation. On the other hand, continues the research to improve the reliability of the results by implying, for instance, different sampling strategies, different statistical data analysis and extrapolations, different data integration from various sources. In this paper we test an approach for yield forecasting and verification of the predictions with consideration of plant phenology. It comprises the development of simple yield prediction models based on key crop bioparameters; the development of crop spectral-biophysical relationships for crop variables retrieval and yield prediction from multispectral reflectance data; verification of the spectral predictions via crop yield agronomical indicators.
机译：遥感是许多科学和应用领域公认的强大工具，其目标是使最新的调查结果投入实际使用，因此，遥感进入了更广泛的应用阶段。农业监测是遥感观测的重点之一，遥感观测可为作物的生长和生长状况提供早期信息。为了在区域和国家范围内提供客观，及时和定量的产量预测，已采用多种方法进行作物行为评估。这些方法包括物候跟踪，农业气象建模，遥感数据实施。另一方面，通过暗示不同的抽样策略，不同的统计数据分析和推断，来自各种来源的不同数据集成，继续进行研究以提高结果的可靠性。在本文中，我们考虑了植物物候学，测试了一种预测产量和验证预测的方法。它包括根据关键作物生物参数开发简单的产量预测模型；发展作物光谱-生物物理关系，以便从多光谱反射率数据中检索作物变量和预测产量；通过农作物产量农艺指标验证光谱预测。

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