Search ga_s2am_ard_3 on 3rd March 2018

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HUJ_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HTJ_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HUH_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HVJ_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HVK_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HUK_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HVH_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HWJ_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HWH_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HWK_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HXK_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54HXJ_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JUL_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JVL_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JXL_2018-03-03_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JWL_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_53HQB_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_53HQA_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HTG_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HTF_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUJ_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HTJ_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUH_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HTH_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVE_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUG_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVF_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUF_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVD_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVH_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVG_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HWH_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HWF_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HWE_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HWG_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVJ_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HVC_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUE_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUD_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_53HQV_2018-03-03_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HTE_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_51LUE_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_51LUF_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_50KQF_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_51LUD_2018-03-03_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_50KPF_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNT_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLT_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLS_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNS_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMS_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMT_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JPT_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JQT_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KNC_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPC_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JPS_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPV_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPA_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KMC_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KRC_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KNB_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQC_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KNU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KNA_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KLU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KMB_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KMV_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KMA_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQV_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQA_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPB_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQB_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KMU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KRD_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KNV_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_51KTU_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQD_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPD_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQE_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KQF_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50KPF_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNR_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLR_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMK_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JKN_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JPP_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLL_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNM_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNL_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLQ_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMJ_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMP_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JNQ_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JML_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLK_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMQ_2018-03-03_final

Return to ga_s2am_ard_3 on 3rd March 2018 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2018

March

3rd