Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration

Zhang, Yongqiang; Wegehenkel, Martin

doi:10.1016/j.rse.2006.05.011

Cited by 83 publications

(59 citation statements)

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“…As suggested there, there is a need to redefine the limits of the plant available water used in the calculation, which in turn depends on the field capacity and the wilting point. However, the RMSE obtained here, ranging between 0.011 and 0.149 m 3 m -3 , is in line with similar works (Diekküger et al, 1995;Vanclooster & Boesten, 2000;Jalota & Arora, 2002;Zhang & Wegehenkel, 2006), and with remotely sensed estimations of soil moisture, such as SMOS (Soil Moisture and Ocean Salinity from the European Space Agency) and SMAP (Soil Moisture Active-Passive from NASA), targeted in an RMSE of 0.04 m 3 m -3 . It is necessary to note the higher RMSE values in the case of the three forest-pasture stations at surface layer.…”

Section: Discussionsupporting

confidence: 92%

“…López- Urrea et al, 2009;Campos et al, 2010;Liu & Luo, 2010; and spatially distributed (Zhang & Wegehenkel, 2006;Er-Raki et al, 2010;Sánchez et al, 2010). The use of a linear relationship of NDVI-K cb (Normalized Difference Vegetation Index-basal crop coefficient) instead of the tabulated values of K cb improves the accuracy of the results, even over woody crops, as shown in Campos et al (2010).…”

Section: Introductionmentioning

confidence: 99%

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A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Sánchez

Martínez-Fernández

Rodríguez-Ruiz

et al. 2012

Span. j. agric. res.

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This paper shows the application of a water balance based on remote sensing that integrated a Landsat 5 series from 2009 in an area of 1,300 km 2 in the Duero Basin (Spain). The objective was to simulate the daily soil water content (SWC), actual evapotranspiration, deep percolation and irrigation rates. The accuracy of the application is tested in a semi-arid Mediterranean agricultural landscape with crops over natural conditions. The results of the simulated SWC were compared against 19 in situ stations of the Soil Moisture Measurement Stations Network (REMEDHUS), in order to check the feasibility and accuracy of the application. The theoretical basis of the application was the FAO56 calculation assisted by remotely sensed imagery. The basal crop coefficient (K cb ), as well as other parameters of the calculation came from the remote reflectance of the images. This approach was implemented in the computerized tool HIDROMORE+, which integrates various spatial databases In general, an underestimation of the soil water content is noticed, more pronounced into the root zone than at surface layer. The final aim was to convert the application into a hydrological tool available for agricultural water management.Additional key words: crop coefficient; evapotranspiration; Landsat 5; NDVI; water balance. Resumen Simulación del contenido de agua del suelo mediante teledetección en un contexto semiárido mediterráneoEste trabajo muestra la aplicación de un balance de agua basado en teledetección que integra una serie Landsat 5 de 2009, en una zona de 1.300 km 2 de la cuenca del Duero (España). El objetivo fue la simulación diaria de contenido de agua del suelo, evapotranspiración real, percolación profunda y tasas de riego. La precisión fue comprobada en el contexto agrícola mediterráneo, en cultivos bajo condiciones naturales. Los resultados acerca del contenido de agua en el suelo se compararon con 19 estaciones de la Red de Estaciones de Medición de Humedad de Suelo (REMEDHUS). La base teórica de la aplicación es FAO56 combinado con imágenes de satélite. El coeficiente de cultivo basal y otros parámetros del cálculo se obtuvieron mediante la reflectividad de las imágenes. Todo ello se implementó en una herramienta informática, HIDROMORE+, capaz de gestionar las bases de datos espaciales. La comparación del contenido de humedad simulado con el observado a diferentes profundidades y distintos usos de suelo, muestra un buen ajuste global (R 2 = 0,92; RMSE = 0,031 m 3 m -3 ; y bias = -0,027 m 3 m -3 ). Por usos de suelo, el mejor descrito fue el de cereales en régimen de secano (R 2 = 0,86; RMSE = 0,030 m 3 m -3 ; y bias = -0,025 m 3 m -3 ) y la viña (R 2 = 0,86; RMSE = 0,016 m 3 m -3 ; y bias = -0,013 m 3 m -3 ). En general, el contenido de agua en el suelo fue subestimado, lo que es más evidente en la zona de raíces que en la capa superficial. El objetivo final es convertir la aplicación en una herramienta hidrológica para la gestión del agua en agricultura.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Sánchez

Martínez-Fernández

Rodríguez-Ruiz

et al. 2012

Span. j. agric. res.

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“…5, separating variables, and integrating Eq. 5, we obtain the volumetric soil water content of a single layer after percolation (Zhang and Wegehenkel, 2006):…”

Section: Percolation Submodelmentioning

confidence: 99%

Estimation of soil water content and evapotranspiration from irrigated cropland on the North China Plain

Jiang

Zhang

Wegehenkel

et al. 2008

Z. Pflanzenernähr. Bodenk.

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For nearly 30 y, cropland on the North China Plain (NCP) has been irrigated primarily by pumping groundwater with no sustainable management strategy. This has caused a continuous decline of the water table. A sustainable groundwater management and irrigation strategy must be established in order to prevent further decline of the water table; to do this, one must quantify soil water content and daily rates of deep percolation and locate evapotranspiration from irrigated cropland. For that purpose, we developed a three-layer soil-water balance (SWB) model based on an approach described by Kendy et al. (2003). In this model, the unsaturated soil zone is divided into three layers: a surface active layer, a middle active soil layer, and a lowest passive soil layer. The middle and the lowest layers dynamically change with the development of crop rooting depth. A simple "tipping bucket" routine and an exponential equation are used to redistribute soil water in the three soil layers. The actual evapotranspiration estimated is partitioned into soil evaporation and crop transpiration using a dual crop coefficient reference approach. At first, the model was calibrated using data obtained from five deficiently irrigated field plots located at an experimental site in the NCP between 1998 and 2003. Then, the model was validated by comparing estimated soil water contents with measured ones at three other plots with nondeficient irrigation. The estimates of actual evapotranspiration were compared with those measured with a large-scale weighing lysimeter (3 m 2 ). The index of agreement (IA) for soil water contents varied between 0.62 and 0.80; the concordance correlation coefficient (CCC) and the root mean square error obtained from the same comparison were 0.34-0.65 and 0.043-0.074 cm 3 cm -3 , respectively. The rates of 10 d mean evapotranspiration estimated by the model show a good fit to those measured by the large-scale lysimeter; this is indicated by IA = 0.94 and CCC = 0.88. Our results indicate that at the irrigated cropland on the plain, deep soil water-percolation rates are usually <200 mm y -1 under nondeficient-irrigation conditions.

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“…According to recent literature, irrigation water management is more and more considering remotely sensed data, partly in combination with model approaches, in order to obtain spatial information (e.g., Guermazi et al, 2016;Toureiro et al, 2016). Data of lysimeters and soil water sensors are typically used to calibrate and validate such combined approaches (e.g., Zhang and Wegehenkel, 2006). Disregarding these novel developments, lysimeter data are traditionally used to develop, calibrate, and validate models to better understand the basic hydrological processes and make them applicable at a larger scale.…”

Section: Quantifying Soil Water Balance Componentsmentioning

confidence: 99%

A review on the quantification of soil water balance components as a basis for agricultural water management with a focus on weighing lysimeters and soil water sensors / Ein Überblick über die Ermittlung von Wasserhaushaltsgrößen als Basis für die landeskulturelle Wasserwirtschaft mit Fokus auf Lysimeter und Bodenwassersensoren

Nolz

2016

Die Bodenkultur: Journal of Land Management, Food and Environment

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SummaryKnowing the components of a soil water balance-for example, evapotranspiration, soil water content, and precipitation-is the basis for agricultural water management. Weighing lysimeters and soil water sensors are commonly used to quantify these components. Data can be used to validate common models to estimate evapotranspiration based on meteorological data, for instance. As every measurement device has its own characteristics, it is helpful to assess and improve the performance of a system to obtain best possible data. Recent developments in the processing of lysimeter data allow determining both evapotranspiration and precipitation directly from lysimeter data. Resulting datasets are characterized by a proper accuracy, completeness, and a high temporal resolution. Soil water sensors usually measure a physical property that is related to soil water content or matric potential via a specific calibration function. Hence, measurement accuracy depends not only on this calibration but also on basic physical principles and material properties. Knowing the performance of a device is, therefore, essential for the selection of an adequate sensor arrangement and truthful data interpretation. Advanced soil water monitoring sites combine different sensor types that are integrated into a wireless network to enable real-time data availability and provide a basis for large-scale monitoring. Keywords

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Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration

Cited by 83 publications

References 50 publications

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Estimation of soil water content and evapotranspiration from irrigated cropland on the North China Plain

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