ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v1.2
type: Dataset
keyword: river discharge
keyword: CCI
keyword: multispectral
keyword: orthoimagery
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qualified relation: 2020
qualified relation: 2021
qualified relation: 2022
qualified relation: 2023
qualified relation: 00README_catalogue_and_licence.txt
qualified relation: AMAZON_MANACAPURU_Q_Day.Cmd.csv
qualified relation: AMAZON_OBIDOS_Q_Day.Cmd.csv
qualified relation: AMAZON_SAOFELIPE_Q_Day.Cmd.csv
qualified relation: CHAD_AMTIMAN_Q_Day.Cmd.csv
qualified relation: CHAD_LAI_Q_Day.Cmd.csv
qualified relation: CHAD_MAILAO_Q_Day.Cmd.csv
qualified relation: CHAD_NDJAMENA_Q_Day.Cmd.csv
qualified relation: COLVILLE_UMIAT_Q_Day.Cmd.csv
qualified relation: CONGO_BANGUI_Q_Day.Cmd.csv
qualified relation: CONGO_CHEMBEFERRY_Q_Day.Cmd.csv
qualified relation: CONGO_KINSHASA_Q_Day.Cmd.csv
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qualified relation: DANUBE_CEATAL_Q_Day.Cmd.csv
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qualified relation: GARONNE_LAMAGISTERE_Q_Day.Cmd.csv
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description: This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci). These river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series. These multi-mission, multispectral time series are also referred to as CM. The river discharges are derived following several approaches:Calibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;Calibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;Uncalibrated CM approach â CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series.
temporal: PeriodOfTime

2019
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2020
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2021
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2022
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2023
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00README_catalogue_and_licence.txt
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AMAZON_MANACAPURU_Q_Day.Cmd.csv
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AMAZON_OBIDOS_Q_Day.Cmd.csv
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AMAZON_SAOFELIPE_Q_Day.Cmd.csv
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CHAD_AMTIMAN_Q_Day.Cmd.csv
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CHAD_LAI_Q_Day.Cmd.csv
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CHAD_MAILAO_Q_Day.Cmd.csv
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CHAD_NDJAMENA_Q_Day.Cmd.csv
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COLVILLE_UMIAT_Q_Day.Cmd.csv
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CONGO_BANGUI_Q_Day.Cmd.csv
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CONGO_CHEMBEFERRY_Q_Day.Cmd.csv
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CONGO_KINSHASA_Q_Day.Cmd.csv
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DANUBE_BOGOJEVO_Q_Day.Cmd.csv
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DANUBE_CEATAL_Q_Day.Cmd.csv
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DANUBE_LUNGOCI_Q_Day.Cmd.csv
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DANUBE_MOHACS_Q_Day.Cmd.csv
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GANGESBRAHMAPUTRA_BAHADURABAD_Q_Day.Cmd.csv
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GANGESBRAHMAPUTRA_HARDINGEBRIDGE_Q_Day.Cmd.csv
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GANGESBRAHMAPUTRA_YANGCUN_Q_Day.Cmd.csv
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GARONNE_LAMAGISTERE_Q_Day.Cmd.csv
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Landing Page in JSON media type.
type: Relationship
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had role: http://www.iana.org/assignments/relation/alternate

PeriodOfTime
start date: 1999-10-03T00:00:00.000Z
end date: 2023-09-30T23:59:59.999Z