Search ga_s2bm_ard_3 whole collection

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
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53KPB_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53KNB_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LNF_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LNC_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LNG_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LND_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LNE_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPD_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPG_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPF_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPE_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPC_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LPH_2018-06-28_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53LNH_2018-06-28_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNM_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNN_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53HNE_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53HND_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53HNB_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNJ_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNK_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNH_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNG_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNL_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNF_2018-07-02_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53HNC_2018-07-02_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNK_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNL_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNM_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNN_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNP_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KPB_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNQ_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNS_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNU_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNT_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNR_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNB_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNV_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53KNA_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53LPD_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53LND_2018-07-05_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53LPC_2018-07-05_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LNF_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPD_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LND_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPC_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LNG_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPE_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPF_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LNE_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LNC_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPG_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPH_2018-07-08_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LNH_2018-07-08_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53KPB_2018-07-08_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53KNB_2018-07-08_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53LPC_2018-07-08_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53LNC_2018-07-08_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_53JNM_2018-07-12_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_53JNN_2018-07-12_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNK_2018-07-15_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNL_2018-07-15_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNM_2018-07-15_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNN_2018-07-15_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LND_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPD_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LNF_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPC_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LNG_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPE_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPF_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LNE_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LNC_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPG_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LPH_2018-07-18_final
2018-07-18 10:47:23	ga_s2bm_ard_3-2-1_53LNH_2018-07-18_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_53KNB_2018-07-18_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_53KPB_2018-07-18_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_53LPC_2018-07-18_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_53LNC_2018-07-18_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HNC_2018-08-18_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HNB_2018-08-18_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNN_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNM_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53HNC_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53HNB_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53HNE_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53HND_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNF_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNJ_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNH_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNG_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNL_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNK_2018-08-21_final
2020-04-02 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2020-04-02_final
2020-04-02 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2020-04-02_final
2020-04-02 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2020-04-02_final
2020-04-02 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2020-04-02_final
2020-04-02 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2020-04-02_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B 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

All years