Search ga_s2am_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HTH_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HTJ_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HUH_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HUJ_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HVH_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HVJ_2016-10-29_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HWJ_2016-10-29_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HNH_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HNJ_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HPH_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HPJ_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQH_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQJ_2016-11-05_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HWD_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HXC_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HXD_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HYD_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HWC_2016-11-16_final
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HWH_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HWJ_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HXH_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HXJ_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HYH_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HYJ_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_55HBC_2016-11-25_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_55HBD_2016-11-25_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_56HLJ_2016-12-02_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_56HMJ_2016-12-02_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_56HLH_2016-12-02_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HUC_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HUD_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HVC_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HVD_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HWD_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HXD_2018-01-13_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HLD_2018-02-27_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HMD_2018-02-27_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HNC_2018-02-27_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HND_2018-02-27_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HPC_2018-02-27_final.stac-item
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HPD_2018-02-27_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HDD_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HEC_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HED_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HFC_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HFD_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HGC_2018-03-04_final.stac-item
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HGD_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HUC_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HUD_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HVC_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HVD_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HWD_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HXD_2018-03-04_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_54HYH_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_54HYJ_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HBC_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HBD_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HCC_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HCD_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HDC_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55HDD_2018-03-07_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HWD_2018-03-11_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HXD_2018-03-11_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HYD_2018-03-11_final.stac-item
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55HDD_2018-03-14_final.stac-item
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55HEC_2018-03-14_final.stac-item
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55HED_2018-03-14_final.stac-item
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55HFC_2018-03-14_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HWH_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HWJ_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HXH_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HXJ_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HYH_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_54HYJ_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_55HBC_2018-03-20_final.stac-item
2018-03-20 09:57:04	ga_s2am_ard_3-2-1_55HBD_2018-03-20_final.stac-item
2019-08-19 09:56:04	ga_s2am_ard_3-2-1_55HDD_2019-08-19_final.stac-item
2019-08-19 09:56:08	ga_s2am_ard_3-2-1_55HCD_2019-08-19_final.stac-item
2019-08-19 09:56:11	ga_s2am_ard_3-2-1_55HBD_2019-08-19_final.stac-item
2019-08-19 09:56:13	ga_s2am_ard_3-2-1_54HYJ_2019-08-19_final.stac-item
2019-08-19 09:56:19	ga_s2am_ard_3-2-1_55HDC_2019-08-19_final.stac-item
2019-08-19 09:56:22	ga_s2am_ard_3-2-1_55HCC_2019-08-19_final.stac-item
2019-08-19 09:56:25	ga_s2am_ard_3-2-1_55HBC_2019-08-19_final.stac-item
2019-08-19 09:56:27	ga_s2am_ard_3-2-1_54HYH_2019-08-19_final.stac-item
2019-08-26 11:26:37	ga_s2am_ard_3-2-1_51HXD_2019-08-26_final.stac-item
2019-08-26 11:26:42	ga_s2am_ard_3-2-1_51HWD_2019-08-26_final.stac-item
2019-08-26 11:26:45	ga_s2am_ard_3-2-1_51HVD_2019-08-26_final.stac-item
2019-08-26 11:26:49	ga_s2am_ard_3-2-1_51HUD_2019-08-26_final.stac-item
2019-08-26 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-08-26_final.stac-item
2019-08-26 11:27:03	ga_s2am_ard_3-2-1_51HUC_2019-08-26_final.stac-item
2019-08-29 09:56:02	ga_s2am_ard_3-2-1_55HDD_2019-08-29_final.stac-item
2019-08-29 09:56:06	ga_s2am_ard_3-2-1_55HCD_2019-08-29_final.stac-item
2019-08-29 09:56:09	ga_s2am_ard_3-2-1_55HBD_2019-08-29_final.stac-item
2019-08-29 09:56:11	ga_s2am_ard_3-2-1_54HYJ_2019-08-29_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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