Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)

Campos, Isidro; Neale, Christopher M. U.; Calera, Alfonso; Balbontín, Claudio; González-Piqueras, José

doi:10.1016/j.agwat.2010.07.011

Cited by 154 publications

(125 citation statements)

References 38 publications

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“…Mateos et al [7] also obtained good results when using SAVI for estimating Kcb in peach and mandarin orchards. Contrarily, in a study with grapevine, Campos et al [13] did not find significant improvements in the accuracy when using SAVI but the application excluded days with wet soil. Accurate results for olive in the current study are likely due to the use of Kd in Equation (6).…”

Section: Estimation Of Actual Kcb From Reflectance-based Vegetation Imentioning

confidence: 99%

“…Some examples of this approach consider a linear relationship between Kcb and NDVI [13,20,25,27,28], and between Kcb and SAVI [13,25,26] but an exponential relationship between NDVI and Kc was also considered [29]. A few studies report a Kcb estimation based on fc or LAI obtained through VI, including for field and tree crops [7,30,31].…”

Section: Introductionmentioning

confidence: 99%

“…Choudhury et al [25] refer that using SAVI instead of NDVI allows extending the range over which the VI respond to the increase in vegetation amount/density beyond a LAI around 3, which is related with NDVI saturation problems for high LAI values. In addition, the NDVI is considered more sensitive than SAVI to soil background reflectance changes due to the moisture of soil surface [7,13,26].…”

Section: Introductionmentioning

confidence: 99%

“…In the last two decades, remote sensing (RS) data has increasingly been used for monitoring and mapping the spatial and temporal variation of ET and thus for computing crop water requirements (e.g., [13][14][15]). One of the most widely used approaches considers the relationship between vegetation indices (VI) derived from RS reflectance data and (actual) crop coefficients, either Kc or Kcb.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Estimation Of Actual Kcb From Reflectance-based Vegetation Imentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2015

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“…In recent years, several attempts have been made to implement remote sensing data with the FAO-56 model, in order to provide a reliable alternative to the indirect estimation of ETp and crop coefficient over large scales [4,23,26,27], allowing accurate monitoring of irrigation water management. Remote sensing approaches in the visible and near infrared ranges can be used to determine the crop water requirements in absence of stress, such as occurs for table grapes [28].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment

et al. 2015

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Abstract:The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead "tendone" systems in the Apulia region (Italy). evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers.

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Remote sensing and other imaging technologies to monitor grapevine performance

Jones

Grant

2015

Grapevine in a Changing Environment

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Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)

Cited by 154 publications

References 38 publications

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

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

Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment

Remote sensing and other imaging technologies to monitor grapevine performance

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