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首页> 外文期刊>Agricultural Water Management >Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
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Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches

机译：遥感估算和映射单个和基底作物系数：综合植被指数的综述方法

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摘要

The advances achieved during the last 30 years demonstrate the aptitude of the remote sensing-based vegetation indices (VI) for the assessment of crop evapotranspiration (ETc) and irrigation requirements in a simple, robust and operative manner. The foundation of these methodologies is the well-established relationship between the VIs and the basal crop coefficient (K-cb), resulting from the ability of VIs to measure the radiation absorbed by the vegetation, as the main driver of the evapotranspiration process. In addition, VIs have been related with single crop coefficient (K-c), assuming constant rates of soil evaporation. The direct relationship between VIs and ET is conceptually incorrect due to the effect of the atmospheric demand on this relationship. The rising number of Earth Observation Satellites potentiates a data increase to feed the VI-based methodologies for estimating and mapping either the K-c or K-cb, with improved temporal coverage and spatial resolution. The development of operative platforms, including satellite constellations like Sentinels and drones, usable for the assessment of K-cb through VIs, opens new possibilities and challenges. This work analyzes some of the questions that remain inconclusive at scientific and operational level, including: (i) the diversity of the K-cb-VI relationships defined for different crops, (ii) the integration of K-cb-VI relationships in more complex models such as soil water balance, and (iii) the operational application of K-cb-VI relationships using virtual constellations of space and aerial platforms that allow combining data from two or more sensors.
机译：在过去30年中实现的进展证明了以简单，强大，操作的方式评估作物蒸发（ETC）和灌溉要求的遥感植被指数（VI）的能力。这些方法的基础是VIS和基底作物系数（K-CB）之间建立的良好关系，由VIS测量植被吸收的辐射的能力，作为蒸发过程的主要驱动器。此外，Vis与单一作物系数（K-C）有关，假设土壤蒸发的恒定率。由于大气对这种关系的影响，VIS和ET之间的直接关系是概念上的不正确。地球观测卫星的上升数量增强了数据，以喂养基于VI的方法，用于估计和映射K-C或K-CB，具有改进的时间覆盖和空间分辨率。操作平台的开发，包括卫星星座，如哨兵和无人机，可用于评估K-CB通过VI，开启了新的可能性和挑战。这项工作分析了科学和业务层面仍然不确定的一些问题，包括：（i）为不同作物定义的K-CB-VI关系的多样性，（ii）更多的k-cb-vi关系的整合诸如土壤水平的复杂模型，（iii）使用虚拟星座的空间和空中平台的虚拟星座的操作应用，允许将数据组合来自两个或更多个传感器。

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