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| "citation_title": "JARMAIN C, SINGELS A, BASTIDAS-OBANDO E, | | "citation_title": "JARMAIN C, SINGELS A, BASTIDAS-OBANDO E, |
| PARASKEVOPOULOS A, OLIVIER F, VAN DER LAAN M, TAVERNA-TURISAN D, | | PARASKEVOPOULOS A, OLIVIER F, VAN DER LAAN M, TAVERNA-TURISAN D, |
| DLAMINI M, MUNCH Z, BASTIAANSSEN W, ANNANDALE J, EVERSON C, SAVAGE M | | DLAMINI M, MUNCH Z, BASTIAANSSEN W, ANNANDALE J, EVERSON C, SAVAGE M |
| and WALKER S (2014) Water Use Efficiency of Selected Irrigated Crops | | and WALKER S (2014) Water Use Efficiency of Selected Irrigated Crops |
| Determined with Satellite Imagery. WRC Report No. TT 602/14. Water | | Determined with Satellite Imagery. WRC Report No. TT 602/14. Water |
| Research Commission, Pretoria.", | | Research Commission, Pretoria.", |
| "contact_person": [ | | "contact_person": [ |
| { | | { |
| "contact_department": "Centre for Water Resources Research", | | "contact_department": "Centre for Water Resources Research", |
| n | "contact_email": "cjarmain@gmail.com", | n | "contact_email": "", |
| "contact_name": "Caren", | | "contact_name": "Caren", |
| "contact_orgnization": "University of KwaZulu-Natal" | | "contact_orgnization": "University of KwaZulu-Natal" |
| } | | } |
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| n | "data_classification": "time_series", | n | "data_classification": "both", |
| "data_collection_organization": "Stellenbosch University", | | "data_collection_organization": "Stellenbosch University", |
| "data_reference_date": [ | | "data_reference_date": [ |
| { | | { |
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| "data_reference_date_to": "2013-06-30" | | "data_reference_date_to": "2013-06-30" |
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| "dataset_language": "English", | | "dataset_language": "English", |
| "dataset_license_url": | | "dataset_license_url": |
| "https://creativecommons.org/licenses/by/4.0/", | | "https://creativecommons.org/licenses/by/4.0/", |
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| "email": "cjarmain@gmail.com", | | "email": "cjarmain@gmail.com", |
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| "keywords": "evapotranspiration, water use efficiency, SEBAL, remote | | "keywords": "evapotranspiration, water use efficiency, SEBAL, remote |
| sensing, satellite imagery, irrigation, sugarcane, maize, crop | | sensing, satellite imagery, irrigation, sugarcane, maize, crop |
| modelling, CaneSim, energy balance", | | modelling, CaneSim, energy balance", |
| "license": "Open (Creative Commons)", | | "license": "Open (Creative Commons)", |
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| "license_title": null, | | "license_title": null, |
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| ected-irrigated-crops-determined-with-satellite-imagery-wrc-tt-60214", | | ected-irrigated-crops-determined-with-satellite-imagery-wrc-tt-60214", |
| "notes": "This dataset comprised field-level data harvested from WRC | | "notes": "This dataset comprised field-level data harvested from WRC |
| Report TT 602/14, which assessed the water use and water use | | Report TT 602/14, which assessed the water use and water use |
| efficiency of irrigated sugarcane and maize using satellite imagery | | efficiency of irrigated sugarcane and maize using satellite imagery |
| (the SEBAL energy-balance model) alongside crop models (CaneSim, SWB | | (the SEBAL energy-balance model) alongside crop models (CaneSim, SWB |
| and SAPWAT). Data were collected in two study areas: irrigated | | and SAPWAT). Data were collected in two study areas: irrigated |
| sugarcane fields around Komatipoort and Malelane in the Mpumalanga | | sugarcane fields around Komatipoort and Malelane in the Mpumalanga |
| lowveld, and irrigated (centre-pivot) maize fields around Douglas in | | lowveld, and irrigated (centre-pivot) maize fields around Douglas in |
| the Northern Cape. Field measurements and model estimates spanned the | | the Northern Cape. Field measurements and model estimates spanned the |
| 2011/2012 and 2012/2013 growing seasons. The dataset included: | | 2011/2012 and 2012/2013 growing seasons. The dataset included: |
| per-field site details and model settings (rooting depth, soil water | | per-field site details and model settings (rooting depth, soil water |
| properties, variety, planting and harvest dates, irrigation system); | | properties, variety, planting and harvest dates, irrigation system); |
| inferred seasonal irrigation, rainfall and simulated yields per field; | | inferred seasonal irrigation, rainfall and simulated yields per field; |
| simulated and observed cane yield, sucrose yield and sucrose content | | simulated and observed cane yield, sucrose yield and sucrose content |
| per field; maize field descriptions; model-validation regression | | per field; maize field descriptions; model-validation regression |
| statistics (slope, intercept, R-squared, n) comparing SEBAL, CaneSim, | | statistics (slope, intercept, R-squared, n) comparing SEBAL, CaneSim, |
| SWB and SAPWAT estimates against measured canopy cover, | | SWB and SAPWAT estimates against measured canopy cover, |
| evapotranspiration, biomass and yield; seasonal evapotranspiration, | | evapotranspiration, biomass and yield; seasonal evapotranspiration, |
| biomass and water-use-efficiency statistics; energy-balance regression | | biomass and water-use-efficiency statistics; energy-balance regression |
| statistics for both study sites; and a per-field review of irrigation | | statistics for both study sites; and a per-field review of irrigation |
| practices. Values were extracted directly from the report tables and | | practices. Values were extracted directly from the report tables and |
| appendices and verified against the source pages. This metadata record | | appendices and verified against the source pages. This metadata record |
| describes the harvested tabular data compiled from the published | | describes the harvested tabular data compiled from the published |
| report.", | | report.", |
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| "description": "The Agricultural Research Council is a premier | | "description": "The Agricultural Research Council is a premier |
| science institution that conducts research with partners, develops | | science institution that conducts research with partners, develops |
| human capital and fosters innovation to support and develop the | | human capital and fosters innovation to support and develop the |
| agricultural sector. ", | | agricultural sector. ", |
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Michael van der Laan: