Remote Sensing Based Crop Coefficients for Water Management in Agriculture

Rocha, Jorge; Perdigão, A.; Melo, Raquel; Henriques, Cristina

doi:10.5772/48561

Cited by 20 publications

(19 citation statements)

References 25 publications

(25 reference statements)

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“…First, the conversion of NDVI into FVC permits the separate simulation of transpirative and evaporative processes. FVC, in fact, is taken as an indicator of the quantity of transpiring green biomass, which can be transformed into generalized crop coefficients on the basis of accepted literature [Rocha et al, 2012]. This quantity is affected by water availability, since green biomass cannot survive to long water stress period, but is only marginally sensitive to short term dry spells which, however, can limit plant transpiration [Running and Nemani, 1988].…”

Section: Discussionmentioning

confidence: 99%

“…This approach, which is named Kc-NDVI method, is straightforward and is applied for the operational assessment of crop water requirement in many agricultural areas [Rocha et al, 2012]. The Kc-NDVI method, however, is of dubious applicability in natural and semi-natural environments.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have been conducted on this subject using various types of satellite data [e.g. Rocha et al, 2012]. "Energy balance" methods, which use thermal infrared imagery to estimate the latent heat of evapotranspiration, generally suffer from problems of undersampling in the spatial or temporal domains [Senay et al, 2012].…”

Section: Introductionmentioning

confidence: 99%

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Combination of ground and satellite data for the operational estimation of daily evapotranspiration

Chiesi

Rapi

Battista

et al. 2013

European Journal of Remote Sensing

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A recent paper of our research group has proposed a simplified "water balance" model which predicts actual evapotranspiration (ET A ) based on ground and remotely sensed data. The model combines estimates of potential evapotranspiration (ET 0 ) and of fractional vegetation cover derived from NDVI in order to separately simulate transpirative and evaporative processes. The new method, named NDVI-Cws, was validated against latent heat measurements taken by the eddy covariance technique over various vegetation types in Central Italy. The current paper extends this validation to three other test sites in Tuscany for which reference data are obtained from different sources. In the first two sites (nonirrigated winter wheat and irrigated maize fields) seasonal reference ET A data series are obtained by the WinEtro model. In situ transpiration measurements are instead used as reference data for a deciduous oak forest stand. The ET A and transpiration estimates of the NDVI-Cws method are very similar to the reference data in terms of both annual totals and seasonal evolutions. Examples are finally provided of the model application for operationally monitoring ET A in Tuscany.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combination of ground and satellite data for the operational estimation of daily evapotranspiration

Chiesi

Rapi

Battista

et al. 2013

European Journal of Remote Sensing

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“…Within this approach the use of NDVI data replaces that of time-varying Kc, which would require the knowledge of the crop planted in each area and its calendar [Senay, 2008]. The Kc-NDVI approach overcomes most of these limitations and has been efficiently applied for assessing daily ET A in many agricultural regions [Rocha et al, 2012]. This method, however, still suffers from important drawbacks when extended to the prediction of ET A over natural or mixed landscapes, due to the basic assumption that the observed vegetation is growing under unstressed water conditions [Glenn et al, 2010].…”

Section: Ndvi-cws Et a Estimation Methodsmentioning

confidence: 99%

Improved simulation of soil water content by the combination of ground and remote sensing data

Gardin

Battista

Bottai³

et al. 2014

European Journal of Remote Sensing

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The simulation of site water balance requires the assessment of actual evapotranspiration (ET A ), which is highly variable both in space and in time depending on several factors (climate, soil, vegetation). In a recent work we proposed a new method based on remotely sensed NDVI data which can estimate daily ET A operationally over large areas. The current paper utilizes these ET A estimates to drive two crop coefficient models, WinEtro and FAO56, in the prediction of soil water content (SWC). The outputs of the simulations are evaluated versus daily measurements of SWC taken in a Tuscany forest site (Barbialla) during four years. The results obtained indicate the efficiency of the proposed data combination, which improves the SWC simulations of both models examined. Recommendations are finally expressed for the possible extension and enhancement of the method described.

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“…The NDVI values were taken from NDVI maps generated as an output using [53] and Reyes-González et al [54] but low coefficients were reported by Sing and Irmak [45], Kamble et al [30], and Toureiro et al [17], who reported values of 2 to be equal to 0.83, 0.81, and 0.82, respectively.…”

Section: Relationship Between Ndvi Andmentioning

confidence: 99%

Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

Reyes-González

Kjaersgaard

Trooien

et al. 2018

Advances in Meteorology

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Irrigation water is limited and scarce in many areas of the world, including Comarca Lagunera, Mexico. Thus better estimations of irrigation water requirements are essential to conserve water. The general objective was to estimate crop water demands or crop evapotranspiration (ET c ) at different scales using satellite remote sensing-based vegetation index. The study was carried out in northern Mexico (Comarca Lagunera) during four growing seasons. Six, eleven, three, and seven clear Landsat images were acquired for 2013, 2014, 2015, and 2016, respectively, for the analysis. The results showed that ET c was low at initial and early development stages, while ET c was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our ET c results. Daily ET c maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that ET c maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using ET c maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.

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Remote Sensing Based Crop Coefficients for Water Management in Agriculture

Cited by 20 publications

References 25 publications

Combination of ground and satellite data for the operational estimation of daily evapotranspiration

Combination of ground and satellite data for the operational estimation of daily evapotranspiration

Improved simulation of soil water content by the combination of ground and remote sensing data

Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

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