H2020Staff exchange2015–2019

REC · Root zone soil moisture Estimates at the daily and agricultural parcel scales for Crop irrigation management and water use impact – a multi-sensor remote sensing approach

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2015-03-01 → 2019-02-28
EU contribution
€895,500
Participants
5
Scheme
MSCA-RISE

Lines connect the coordinator with its partners.

Results in brief

Root zone soil moisture Estimates at the daily and agricultural parcel scales for Crop irrigation management and water use impact – a multi-sensor remote sensing approach

Sustainable water use is a growing concern in Europe. Nowadays, agriculture is an important pressure on water resources especially Mediterranean countries where irrigation can represent up to 80% of the consumptive uses of water. Increasing water use efficiency in agriculture has been thus identified as one of the key themes relating to water scarcity and drought. It now becomes necessary to improve on-farm irrigation management by adjusting irrigation to crop water requirements along the growing season. Modern irrigation agencies rely on in situ root zone soil moisture measurements to detect the onset of crop water stress and to trigger irrigations. However, in situ point measurements are generally not available over extended areas and may not be representative at the field scale. If remote sensing provides cost-effective techniques for monitoring broad areas, there is currently no algorithm dedicated to root zone soil moisture monitoring at the parcel scale. REC proposes a solution to the need of root-zone soil moisture at the crop scale for irrigation management. It is based on an innovative operational algorithm that aims to: 1) to map root zone soil moisture on a daily basis at the field scale and 2) to quantitatively evaluate the different components of the water budget at the field scale from readily available remote sensing data. The methodology relies on the coupling between a surface model representing the water fluxes at the land surface atmosphere interface (infiltration, evaporation, transpiration) and in the soil (drainage), and remote sensing data composed of land surface temperature, and near-surface soil moisture retrieved from microwave radiometers and radars. These estimates will be integrated in an irrigation management system that will be used to trigger irrigation. In addition, these estimates will allow making an impact assessment of the consumptive use of water and water footprint.

Data: CORDIS, © European Union

Project objective

Sustainable water use is a growing concern in Europe. Nowadays, agriculture is an important pressure on water resources especially in Mediterranean countries where irrigation can represent up to 80% of the consumptive uses of water. Increasing water use efficiency in agriculture has been thus identified as one of the key themes relating to water scarcity and drought (EEA Report No 1/2012). It now becomes necessary to improve on-farm irrigation management by adjusting irrigation to crop water requirements along the growing season.Modern irrigation agencies rely on in situ root zone soil moisture measurements to detect the onset of crop water stress and to trigger irrigation. However, in situ point measurements are generally not available over extended areas and may not be representative at the field scale. If remote sensing provides cost-effective techniques for monitoring broad areas, there is currently no algorithm dedicated to root zone soil moisture monitoring at the parcel scale.REC proposes a solution to the need of root-zone soil moisture at the crop scale for irrigation management. It is based on an innovative operational algorithm that will allow for the first time to: 1) to map root zone soil moisture on a daily basis at the field scale and 2) to quantitatively evaluate the different components of the water budget at the field scale from readily available remote sensing data.The methodology relies on the coupling between a surface model representing the water fluxes at the land surface atmosphere interface (infiltration, evaporation, transpiration) and in the soil (drainage), and remote sensing data composed of land surface temperature, and near-surface soil moisture retrieved from microwave radiometers and radars.These estimates will be integrated in an irrigation management system that will be used to trigger irrigation. In addition, these estimates will allow making an impact assessment of the consumptive use of water and water footprint.

Original text from CORDIS.

Participants

  • ISARDSAT SL · BarcelonaCoordinatorSpain
  • CENTRO DE ASESORIA DOCTOR FERRER SL · Cervera LleidaSpain
  • INSTITUT DE RECHERCHE POUR LE DEVELOPPEMENT · MarseilleFrance
  • UNIVERSITE CADI AYYAD · MarrakechMorocco
  • UNIVERSITE PAUL SABATIER TOULOUSE III · Toulouse Cedex 9France

Links

Data: CORDIS, © European Union