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
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LVJ_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LWH_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LWJ_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LXH_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LXJ_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LYH_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LYJ_2016-02-05_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LWC_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LXC_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LXD_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LYC_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LYD_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LZC_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LZD_2016-02-06_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_54LYH_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_54LYJ_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_54LZH_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_54LZJ_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_55LBC_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_55LBD_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_55LCC_2016-02-12_final.stac-item
2016-02-12 10:10:34	ga_s2am_ard_3-2-1_55LCD_2016-02-12_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51LUC_2016-02-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51LUD_2016-02-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51LVC_2016-02-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51LWC_2016-02-19_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_51LYC_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_51LZC_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_51LZD_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LBH_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LBJ_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LCH_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LCJ_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LDH_2016-03-24_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LDJ_2016-03-24_final.stac-item
2016-04-09 09:57:14	ga_s2am_ard_3-2-1_55LEC_2016-04-09_final.stac-item
2016-04-09 09:57:14	ga_s2am_ard_3-2-1_55LFC_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_55LCC_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_55LCD_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_55LEC_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_55LFC_2016-04-09_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_54LYH_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_54LYJ_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_54LZH_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_54LZJ_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_55LBC_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_55LBD_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_55LCC_2016-05-02_final.stac-item
2016-05-02 10:07:30	ga_s2am_ard_3-2-1_55LCD_2016-05-02_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_54LYH_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_54LYJ_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_54LZH_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_54LZJ_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_55LBC_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_55LBD_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_55LCC_2016-05-12_final.stac-item
2016-05-12 10:11:12	ga_s2am_ard_3-2-1_55LCD_2016-05-12_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LWC_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LXC_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LXD_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LYC_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LYD_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LZC_2018-04-26_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LZD_2018-04-26_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_54LUH_2018-04-28_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_54LVH_2018-04-28_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_54LWH_2018-04-28_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_54LWJ_2018-04-28_final.stac-item
2018-06-12 11:20:38	ga_s2am_ard_3-2-1_51LYC_2018-06-12_final.stac-item
2018-06-12 11:20:38	ga_s2am_ard_3-2-1_51LZC_2018-06-12_final.stac-item
2018-06-12 11:20:38	ga_s2am_ard_3-2-1_51LZD_2018-06-12_final.stac-item
2018-06-12 11:20:38	ga_s2am_ard_3-2-1_52LBH_2018-06-12_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55LFC_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55LGC_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LWC_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LXC_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LXD_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LYC_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LYD_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LZC_2018-06-15_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51LZD_2018-06-15_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51LVC_2018-06-18_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51LWC_2018-06-18_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LDH_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LDJ_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LEH_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LEJ_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LFH_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LFJ_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LGH_2018-06-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52LGJ_2018-06-19_final.stac-item
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_54LUH_2018-06-27_final.stac-item
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_54LVH_2018-06-27_final.stac-item
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_54LWH_2018-06-27_final.stac-item
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_54LWJ_2018-06-27_final.stac-item
2018-06-28 09:57:08	ga_s2am_ard_3-2-1_55LCC_2018-06-28_final.stac-item
2018-06-28 09:57:08	ga_s2am_ard_3-2-1_55LCD_2018-06-28_final.stac-item
2018-06-28 09:57:08	ga_s2am_ard_3-2-1_55LEC_2018-06-28_final.stac-item
2018-06-28 09:57:08	ga_s2am_ard_3-2-1_55LFC_2018-06-28_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51LVC_2018-06-28_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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