基于地面和遥感数据的柑橘散发性覆盖杂草果园作物系数和实际蒸散量估算

IF 3.1 2区 农林科学 Q1 AGRONOMY
Matteo Ippolito, Dario De Caro, Giuseppe Ciraolo, Mario Minacapilli, Giuseppe Provenzano
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引用次数: 4

摘要

准确估算作物的实际蒸散量对于评估作物需水量和优化水分利用效率至关重要。为此,将简单的农业水文模型(如众所周知的FAO-56模型)与陆地表面的远程观测相结合,可以成为一种易于使用的工具,用于识别植被的生物物理参数,如实际田间条件下的作物系数Kc,并估算实际作物蒸散量。因此,本文拟提出一种基于地面微气象测量数据和Sentinel-2传感器获取的植被指数(VIs)的操作程序,以评估以地面杂草零星存在为特征的柑橘园Kc的时空变异性。假设归一化植被指数(NDVI)和归一化水分指数(NDWI)这两个VIs的和适合代表所调查环境的时空动态,即植被稀疏和零星存在自发但蒸发量的土壤杂草,典型的冬季和/或土壤表面湿润事件之后的时期,从而确定了非线性的Kc(VIs)关系。然后将Sentinel-2栅格(10 m)中每个单元的Kc值作为空间分布的FAO-56模型的输入,以估计实际蒸散发(ETa)和其他水分平衡项的变率。最后,通过比较估算的平均土壤含水量和实际作物蒸散量与相应的地面测量值,对所提方法的性能进行了评价。应用FAO-56模型,估算ETa的均方根误差(RMSE)和平均偏倚误差(MBE)分别为0.48和-0.13 mm d-1,而估算土壤含水量(SWC)的RMSE为0.01 cm3 cm-3,且无偏倚。结果表明,该方法能较准确地反映土壤水分动态和作物实际蒸散量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data.

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data.

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data.

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data.

Accurate estimations of actual crop evapotranspiration are of utmost importance to evaluate crop water requirements and to optimize water use efficiency. At this aim, coupling simple agro-hydrological models, such as the well-known FAO-56 model, with remote observations of the land surface could represent an easy-to-use tool to identify biophysical parameters of vegetation, such as the crop coefficient Kc under the actual field conditions and to estimate actual crop evapotranspiration. This paper intends, therefore, to propose an operational procedure to evaluate the spatio-temporal variability of Kc in a citrus orchard characterized by the sporadic presence of ground weeds, based on micro-meteorological measurements collected on-ground and vegetation indices (VIs) retrieved by the Sentinel-2 sensors. A non-linear Kc(VIs) relationship was identified after assuming that the sum of two VIs, such as the normalized difference vegetation index, NDVI, and the normalized difference water index, NDWI, is suitable to represent the spatio-temporal dynamics of the investigated environment, characterized by sparse vegetation and the sporadic presence of spontaneous but transpiring soil weeds, typical of winter seasons and/or periods following events wetting the soil surface. The Kc values obtained in each cell of the Sentinel-2 grid (10 m) were then used as input of the spatially distributed FAO-56 model to estimate the variability of actual evapotranspiration (ETa) and the other terms of water balance. The performance of the proposed procedure was finally evaluated by comparing the estimated average soil water content and actual crop evapotranspiration with the corresponding ones measured on-ground. The application of the FAO-56 model indicated that the estimated ETa were characterized by root-mean-square-error, RMSE, and mean bias-error, MBE, of 0.48 and -0.13 mm d-1 respectively, while the estimated soil water contents, SWC, were characterized by RMSE equal to 0.01 cm3 cm-3 and the absence of bias, then confirming that the suggested procedure can produce highly accurate results in terms of dynamics of soil water content and actual crop evapotranspiration under the investigated field conditions.

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来源期刊
Irrigation Science
Irrigation Science 农林科学-农业工程
CiteScore
6.10
自引率
6.70%
发文量
69
审稿时长
5 months
期刊介绍: Irrigation Science publishes original contributions and short communications reporting the results of irrigation related research, including relevant contributions from the plant, soil and atmospheric sciences and the analysis of field experimentation as well as irrigation water management modeling. Special emphasis is on multi-disciplinary studies dealing with the problems involved in maintaining the long term productivity of irrigated lands and in increasing the efficiency of agricultural water use. Aspects of particular interest are: physiology of plant growth and yield response to water status; physical and chemical aspects of water status and movement in the plant-soil-atmosphere system; salinity and alkalinity control by soil and water management; agricultural drainage, measurement and modification of crop and control of water in plant, soil and atmosphere; water requirements in irrigation practice; irrigation scheduling and ecological aspects of irrigated agriculture.
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