Data

Extracting pasture evapotranspiration parameters from proximal sensing and mathematical modelling - Dataset

University of New England, Australia
Alam, Muhammad ; Lamb, David ; McIntyre, Cheryl ; Rahman, Muhammad ; Warwick, Nigel
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/1q4w-d233&rft.title=Extracting pasture evapotranspiration parameters from proximal sensing and mathematical modelling - Dataset&rft.identifier=10.25952/1q4w-d233&rft.publisher=University of New England&rft.description=Knowledge of crop evapotranspiration is crucial for irrigation decision making. An appropriate, user-friendly and time-efficient means of inferring such information is therefore essential. In this study, a closed hemispherical chamber was instrumented, calibrated and deployed in the field for measuring actual evapotranspiration of a vital pasture species, Tall Fescue (Festuca arundinacea). The pasture crop coefficient (Kc) was calculated from the measured instantaneous evapotranspiration and reference crop evapotranspiration (ETo) for a range of growth stages. Also the relationship between Kc and Normalized Difference Vegetation Index (NDVI) as measured using an active optical sensor was established. Using the FAO dual crop coefficient approach and the hemispherical chamber, a technique for partitioning evapotranspiration components was developed. The components of evapotranspiration in terms of basal crop coefficient (Kcb) and soil evaporation coefficient (Ke) were expressed relative to canopy NDVI and Leaf Area Index (LAI). A theoretical model for estimating transpiration was also developed by scaling up stomatal conductance to canopy level in a controlled glasshouse environment. The model was validated against the measured transpiration.&rft.creator=Alam, Muhammad &rft.creator=Lamb, David &rft.creator=McIntyre, Cheryl &rft.creator=Rahman, Muhammad &rft.creator=Warwick, Nigel &rft.date=2020&rft_rights=Rights holder: Muhammad Shahinur Alam&rft_subject=Agricultural Spatial Analysis and Modelling&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=AGRICULTURE, LAND AND FARM MANAGEMENT&rft_subject=Crop and Pasture Biomass and Bioproducts&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=Image Processing&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Native and Residual Pastures&rft_subject=ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft_subject=PASTURE, BROWSE AND FODDER CROPS&rft_subject=Sown Pastures (excl. Lucerne)&rft_subject=Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments&rft_subject=ENVIRONMENT&rft_subject=ECOSYSTEM ASSESSMENT AND MANAGEMENT&rft_subject=100503 Native and residual pastures&rft_subject=100505 Sown pastures (excl. lucerne)&rft_subject=Assessment and management of terrestrial ecosystems&rft_subject=Terrestrial systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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Knowledge of crop evapotranspiration is crucial for irrigation decision making. An appropriate, user-friendly and time-efficient means of inferring such information is therefore essential. In this study, a closed hemispherical chamber was instrumented, calibrated and deployed in the field for measuring actual evapotranspiration of a vital pasture species, Tall Fescue (Festuca arundinacea). The pasture crop coefficient (Kc) was calculated from the measured instantaneous evapotranspiration and reference crop evapotranspiration (ETo) for a range of growth stages. Also the relationship between Kc and Normalized Difference Vegetation Index (NDVI) as measured using an active optical sensor was established. Using the FAO dual crop coefficient approach and the hemispherical chamber, a technique for partitioning evapotranspiration components was developed. The components of evapotranspiration in terms of basal crop coefficient (Kcb) and soil evaporation coefficient (Ke) were expressed relative to canopy NDVI and Leaf Area Index (LAI). A theoretical model for estimating transpiration was also developed by scaling up stomatal conductance to canopy level in a controlled glasshouse environment. The model was validated against the measured transpiration.

Issued: 2020-01-08

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100503 Native and residual pastures | 100505 Sown pastures (excl. lucerne) | Agricultural and Veterinary Sciences | Agriculture, Land and Farm Management | Animal Production and Animal Primary Products | Artificial Intelligence and Image Processing | Agricultural Spatial Analysis and Modelling | Assessment and Management of Terrestrial Ecosystems | Crop and Pasture Production | Crop and Pasture Biomass and Bioproducts | Ecosystem Assessment and Management | Environment | Environmental Management | Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments | Information and Computing Sciences | Image Processing | Native and Residual Pastures | Pasture, Browse and Fodder Crops | Sown Pastures (Excl. Lucerne) | Terrestrial Systems and Management |

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handle : https://hdl.handle.net/1959.11/57252

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