Assessing irrigated agriculture's surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling

Science of the Total Environment

Volumn 542, Issue , 2016, Pages 372-382

  Peña Arancibia, Jorge L ^a   Mainuddin, Mohammed ^a   Kirby, John M ^a   Chiew, Francis H S ^a   McVicar, Tim R ^a   Vaze, Jai ^a  

^a CSIRO   (Australia)

Author keywords

Diversions; Evapotranspiration; Hydrology; Image classification; Mapping; Murray Darling basin; Random forest

Indexed keywords

AGRICULTURE; CORRELATION METHODS; DECISION TREES; EVAPOTRANSPIRATION; EXTRACTION; GROUNDWATER; HYDROLOGY; IMAGE CLASSIFICATION; IRRIGATION; MAPPING; MEAN SQUARE ERROR; REMOTE SENSING; WATER; WATER RESOURCES; WATER SUPPLY;

ACTUAL EVAPOTRANSPIRATION; DIVERSIONS; MURRAY-DARLING BASIN; PEARSON'S CORRELATION COEFFICIENTS; RANDOM FORESTS; ROOT MEAN SQUARE ERRORS; SATELLITE REMOTE SENSING; SURFACE WATER AND GROUNDWATERS;

SURFACE WATERS;

GROUND WATER; SURFACE WATER;

CONSUMPTION BEHAVIOR; EVAPOTRANSPIRATION; GROUNDWATER RESOURCE; HYDROLOGICAL MODELING; IMAGE CLASSIFICATION; IRRIGATION SYSTEM; MAPPING; REMOTE SENSING; SATELLITE DATA; SURFACE WATER;

ARTICLE; AUSTRALIA; DROUGHT; ENVIRONMENTAL MONITORING; EVAPOTRANSPIRATION; FLOODING; IRRIGATION (AGRICULTURE); PHENOLOGY; PRIORITY JOURNAL; RANDOM FOREST; REMOTE SENSING; SIMULATION; SURFACE WATER HYDROLOGY; VEGETATION; WATER AVAILABILITY; WATER MANAGEMENT; WATER SUPPLY;

AUSTRALIA; MURRAY-DARLING BASIN;

EID: 84945369000     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2015.10.086     Document Type: Article

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