Remote sensing estimation of actual evapotranspiration and crop coefficients for a multiple land use arid landscape of southern Iran with limited available data

Pakparvar, M; Cornelis, Wim; Pereira, LS; Gabriëls, Donald; Hosseinimarandi, H; Edraki, M.; Kowsar, SA

doi:10.2166/hydro.2014.140

Cited by 20 publications

(19 citation statements)

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“…To evaluate the METRIC and SEBS models for local applications, measurements were obtained from Pakparvar et al (2014). The data included the volume of irrigation water used in farmlands as measured for two cropping seasons from December 2009 to December 2010.…”

Section: In Situ Measurementsmentioning

confidence: 99%

“…The data included the volume of irrigation water used in farmlands as measured for two cropping seasons from December 2009 to December 2010. Guided by the recommendations from Pakparvar et al (2014), the amount of effective rainfall (recorded rainfall 3 0.7) in the volume base was added to the calculated applied water. The study reported that 24% of total input water (irrigation 1 precipitation) returns to the hydrological cycle as return flow.…”

Section: In Situ Measurementsmentioning

confidence: 99%

“…To make the models more applicable and representative for datasparse regions, a source of solar radiation (CMSAF SISR data) was analyzed prior to using the models (comparison details in section 3e). Embedding this modification, the seasonal crop water use resulting from METRIC and SEBS was compared with in situ measurements in Pakparvar et al (2014).…”

Section: A Comparison Of Evapotranspiration Datasetsmentioning

confidence: 99%

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Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources

Jamshidi

Zand‐Parsa

Pakparvar

et al. 2019

Journal of Hydrometeorology

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Evapotranspiration (ET) estimation is important for water management decision tools. In this study, different ET data with varying resolution, accuracy, and functionality were reviewed over a semiarid, data-sparse region in southern Iran. Study results showed that the widely used reanalysis and Moderate Resolution Imaging Spectroradiometer (MODIS) datasets have relatively high uncertainty and underestimated ET over the sparse heterogeneous landscape. On the other hand, fine-resolution ET datasets using Landsat imagery with Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) and Surface Energy Balance System (SEBS) algorithms, yielded high accuracy. Evaluation of METRIC and SEBS models in estimating seasonal crop water use showed a mean absolute error of 5% and 13%, respectively. The Satellite Application Facility on Climate Monitoring (CMSAF) data were used as radiation input to the models and were found to be a representative data source with daily average RMSE of 70 W m−2. An average crop coefficient Kc was estimated for the region and was obtained as 0.77. The study proposes and applies a hybrid framework that uses reference ET from simple diagnostic models (such as the REF-ET tool) and calculates actual ET by using the satellite-derived regionally and locally representative Kc values. The ET estimates generated with the framework were regionally representative and required low computational resources. The study findings have the potential to provide practical guidance to local farmers and water managers to generate useful and usable decision-making tools, especially for ET assessments in the study region and other data-sparse areas.

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Section: In Situ Measurementsmentioning

confidence: 99%

Section: In Situ Measurementsmentioning

confidence: 99%

Section: A Comparison Of Evapotranspiration Datasetsmentioning

confidence: 99%

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Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources

Jamshidi

Zand‐Parsa

Pakparvar

et al. 2019

Journal of Hydrometeorology

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“…Single K c act four stage curves were defined for remote-sensed grazed grasslands [29,30]. By contrast, other authors preferred replacing the typical four stages curve by average monthly K c act values [31].…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration Partition and Crop Coefficients of Tifton 85 Bermudagrass as Affected by the Frequency of Cuttings. Application of the FAO56 Dual Kc Model

Paredes

Rodrigues

Petry

et al. 2018

Water

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Abstract:This study aims to model the impacts of the frequency of cuttings of Tifton 85 bermudagrass on the dynamics of evapotranspiration (ET c ) and to derive crop coefficients appropriate for grass water management. Two seasons of experimentation were used with four different cutting treatments which provided field data for calibration and validation of the soil water balance model SIMDualKc for all treatments. Cuttings were performed after the cumulative growth degree days (CGDD) attained 124 • C, 248 • C and 372 • C, thus from short to very long intervals between cuttings. SIMDualKc adopts the Food and Agriculture Organization (FAO) dual K c approach for partitioning ET into crop transpiration and soil evaporation, thus providing for an assessment of their dynamics. All treatments were irrigated to avoid water stress. Grass ET c was modelled adopting a K cb curve to describe the ET variation for each cutting cycle, that is, using the FAO K c curve that consists of a series of K cb curves relative to each cutting cycle. Each individual K cb curve consisted of three segments constructed when knowing the K cb values at the initial, at the end of rapid growth, and at cutting, respectively K cb ini , K cb gro and K cb cut . These K cb values were first estimated using the equation relating K cb to the density coefficient (K d ), which is computed from the fraction of ground cover (f c ) and canopy height (h) at the same dates. The goodness of fit indicators relative to the calibration and validation of the SIMDualKc model were rather good, with the normalized root mean square error (RMSE) ranging from 4.0% to 6.7% of the mean available soil water. As an example, the standard K cb values obtained after model calibration relative to the cuttings treatment with CGDD of 248 • C are: K cb ini = 0.86, K cb gro = 0.91 and K cb cut = 0.96. K cb values were smaller when the frequency of cuts was larger because h and f c were smaller, and were larger for reduced cuttings frequency since h and f c were then larger. Because the soil was wet most of the time, the soil evaporation K e varied little but its value was small due to the combined effects of the fraction of crop cover and plant litter covering the soil. The values of K c = K cb +K e also varied little due to the influence of K e and the K c curve obtained a form different from the K cb curves, and a single K c value was adopted for each cutting frequency, e.g., K c = 0.99 for the treatment with CGDD of 248 • C. Results of the soil water balance have shown that, during the experimental periods, likely due to the effects of the El Niño Southern Oscillation (ENSO), runoff and deep percolation exceeded ET c . Moreover, the soil evaporation ratio was small: 14% in case of frequent cuttings and less for more spaced cuttings, thus with a transpiration ratio close to 90%, which indicates a very high beneficial consumptive water use, mainly when cuttings are not very frequent.

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“…Such models allow to directly integrating the effects related with soil water deficit or water vapor pressure in the crop ET estimation [7]. Crop coefficients can be further derived considering the ETo [8][9][10]. However, these models present greater complexity and larger amount of input data than the Kc-ETo approach [7].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

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Abstract:A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management. OPEN ACCESSRemote Sens. 2015, 7 2374

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Remote sensing estimation of actual evapotranspiration and crop coefficients for a multiple land use arid landscape of southern Iran with limited available data

Cited by 20 publications

References 0 publications

Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources

Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources

Evapotranspiration Partition and Crop Coefficients of Tifton 85 Bermudagrass as Affected by the Frequency of Cuttings. Application of the FAO56 Dual Kc Model

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

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