Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index

Hunsaker, Douglas J.; Pinter, P. J.; Barnes, Edward M.; Kimball, Bruce A.

doi:10.1007/s00271-003-0074-6

Cited by 197 publications

(109 citation statements)

References 15 publications

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“…Thus there is no contradiction to state that local calibration is necessary and to find that the same method driven by satellite data is accurate: [15,16]. An empirical function between K cb and NDVI, consisting of two regressions, has been found by [9] for cotton crops. Other authors [6,14,17,22] have found linear K cb -VI relationships.…”

Section: Model Descriptionmentioning

confidence: 99%

“…However, there is no agreement on the nature and generality of these relationships [16]. Some studies [6][7][8]11,14,17] have shown that these relationships are linear, but others have found non linearity relationships [9,10,12,16]. Therefore, establishing a unique relationship between crop coefficient and spectral vegetation indices is an ongoing research topic.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, several authors have shown similarity between the seasonal patterns of vegetation indices and transpiration over annual crops [5][6][7][8][9][10][11][12]. Consequently, K c can be estimated from spectral vegetation indices since both of them are related to leaf area index and fractional ground cover [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region

2010

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Abstract:The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping water use (ET c ) in irrigated wheat crops of a semi-arid region. The method is based on the relationships established between Normalized Difference Vegetation Index (NDVI) and crop biophysical variables such as basal crop coefficient, cover fraction and soil evaporation. A time series of high spatial resolution SPOT and Landsat images acquired during the 2002/2003 agricultural season has been used to generate the profiles of NDVI in each pixel that have been related to crop biophysical parameters which were used in conjunction with FAO-56 dual source approach. The obtained results showed that the spatial distribution of seasonal ET c varied between 200 and 450 mm depending to sowing date and the development of the vegetation. The validation of spatial results showed that the ET c estimated by FAO-56 corresponded well with actual ET measured by eddy covariance system over test sites of wheat, especially when soil evaporation and plant water stress are not encountered. OPEN ACCESSRemote Sens. 2010, 2 376

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Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region

2010

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“…This coefficient may be derived from multispectral vegetation indices (VI) obtained by remote sensing (Jackson et al, 1980;Heilman et al, 1982;Bausch and Neale, 1987;Neale et al, 1989;Calera et al, 2004). Some authors have suggested that relationships between K cb and VI are linear (Bausch and Neale, 1987;Neale et al, 1989;Gonzalez-Piqueras et al, 2003), but others have found non-linear relationships (Hunsaker et al, 2003(Hunsaker et al, , 2005. These relationships have been studied for several crops and recently for potato (Jayanthi et al, 2007), cotton and sugarbeet (González-Dugo and Mateos, 2008), wheat Er-Raki et al, 2007) and grapes (Campos et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

Padilla

González‐Dugo

Jiménez-Gavilán

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation indices (VIs) have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET). The aim of this study was to evaluate a methodology that combines the basal crop coefficient derived from VIs with a daily soil water balance in the root zone to estimate daily evapotranspiration rates for corn and wheat crops at field scale. The ability of the model to trace water stress in these crops was also assessed. Vegetation indices were first retrieved from field hand-held radiometer measurements and then from Landsat 5 and 7 satellite images. The results of the model were validated using two independent measurement systems for ET and regular soil moisture monitoring, in order to evaluate the behavior of the soil and atmosphere components of the model. ET estimates were compared with latent heat flux measured by an eddy covariance system and with weighing lysimeter measurements. Average overestimates of daily ET of 8 and 11% were obtained for corn and wheat, respectively, with good agreement between the estimated and measured root-zone water deficit for both crops when field radiometry was employed. When the satellite sensor data replaced the field radiometry data the overestimation figures slightly changed to 9 and 6% for the same two crops. The model was also used to monitor the water stress during the 2009 growing season, detecting several periods of water stress in both crops. Some of these stresses occurred during stages like grain filling, whenCorrespondence to: F. L. M. Padilla (franciscol.munoz@juntadeandalucia.es) the water stress is know to have a negative effect on yield. This fact could explain the lower yield reached compared to local yield statistics for wheat and corn. The results showed that the model can be used to calculate the water requirements of these crops in irrigated areas and that its ability to monitor water stress deserves further research.

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“…The rationale for using K cp instead of K c comes from multiple observations of linear relationships between K c and VIs (e.g., Hunsaker et al, 2003;Tasumi et al, 2005). In evaluating VegET performance, Senay (2008) used very simple transformations from NDVI to K cp based on the thresholds and observed variability of the NDVI derived from AVHRR data.…”

Section: Evapotranspiration Modelmentioning

confidence: 99%

Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model

Kovalskyy

Henebry

2012

Biogeosciences

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Abstract. Evapotranspiration (ET) flux constitutes a major component of both the water and energy balances at the land surface. Among the many factors that control evapotranspiration, phenology poses a major source of uncertainty in attempts to predict ET. Contemporary approaches to ET modeling and monitoring frequently summarize the complexity of the seasonal development of vegetation cover into static phenological trajectories (or climatologies) that lack sensitivity to changing environmental conditions. The Event Driven Phenology Model (EDPM) offers an alternative, interactive approach to representing phenology. This study presents the results of an experiment designed to illustrate the differences in ET arising from various techniques used to mimic phenology in models of land surface processes. The experiment compares and contrasts two realizations of static phenologies derived from long-term satellite observations of the Normalized Difference Vegetation Index (NDVI) against canopy trajectories produced by the interactive EDPM trained on flux tower observations. The assessment was carried out through validation of predicted ET against records collected by flux tower instruments. The VegET model (Senay, 2008) was used as a framework to estimate daily actual evapotranspiration and supplied with seasonal canopy trajectories produced by the EDPM and traditional techniques. The interactive approach presented the following advantages over phenology modeled with static climatologies: (a) lower prediction bias in crops; (b) smaller root mean square error in daily ET -0.5 mm per day on average; (c) stable level of errors throughout the season similar among different land cover types and locations; and (d) better estimation of season duration and total seasonal ET.

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Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index

Cited by 197 publications

References 15 publications

Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region

Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region

Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model

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