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
2020-01-22 11:54:51	ga_s2am_ard_3-2-1_50JLS_2020-01-22_final.stac-item
2020-01-22 11:55:06	ga_s2am_ard_3-2-1_50JLR_2020-01-22_final.stac-item
2020-01-22 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2020-01-22_final.stac-item
2020-01-22 11:55:35	ga_s2am_ard_3-2-1_50JLP_2020-01-22_final.stac-item
2020-01-22 11:55:50	ga_s2am_ard_3-2-1_50JLN_2020-01-22_final.stac-item
2020-01-22 11:56:04	ga_s2am_ard_3-2-1_50JLM_2020-01-22_final.stac-item
2020-01-22 11:56:19	ga_s2am_ard_3-2-1_50JLL_2020-01-22_final.stac-item
2020-01-22 11:56:34	ga_s2am_ard_3-2-1_50HLK_2020-01-22_final.stac-item
2020-01-22 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-01-22_final.stac-item
2020-01-22 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-01-22_final.stac-item
2020-01-22 11:56:54	ga_s2am_ard_3-2-1_50HLH_2020-01-22_final.stac-item
2020-01-22 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-22_final.stac-item
2020-01-25 12:03:20	ga_s2am_ard_3-2-1_50KLC_2020-01-25_final.stac-item
2020-01-25 12:03:34	ga_s2am_ard_3-2-1_50KLB_2020-01-25_final.stac-item
2020-01-25 12:03:49	ga_s2am_ard_3-2-1_50KLA_2020-01-25_final.stac-item
2020-01-25 12:04:03	ga_s2am_ard_3-2-1_50KLV_2020-01-25_final.stac-item
2020-01-25 12:04:18	ga_s2am_ard_3-2-1_50KLU_2020-01-25_final.stac-item
2020-01-25 12:04:32	ga_s2am_ard_3-2-1_50JLT_2020-01-25_final.stac-item
2020-01-25 12:04:47	ga_s2am_ard_3-2-1_50JLS_2020-01-25_final.stac-item
2020-01-25 12:05:01	ga_s2am_ard_3-2-1_50JLR_2020-01-25_final.stac-item
2020-01-25 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2020-01-25_final.stac-item
2020-02-01 11:54:50	ga_s2am_ard_3-2-1_50JLS_2020-02-01_final.stac-item
2020-02-01 11:55:05	ga_s2am_ard_3-2-1_50JLR_2020-02-01_final.stac-item
2020-02-01 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2020-02-01_final.stac-item
2020-02-01 11:55:34	ga_s2am_ard_3-2-1_50JLP_2020-02-01_final.stac-item
2020-02-01 11:55:48	ga_s2am_ard_3-2-1_50JLN_2020-02-01_final.stac-item
2020-02-01 11:56:03	ga_s2am_ard_3-2-1_50JLM_2020-02-01_final.stac-item
2020-02-01 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-01_final.stac-item
2020-02-01 11:56:32	ga_s2am_ard_3-2-1_50HLK_2020-02-01_final.stac-item
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-01 11:57:01	ga_s2am_ard_3-2-1_50HLH_2020-02-01_final.stac-item
2020-07-13 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-07-13_final.stac-item
2020-07-13 12:03:45	ga_s2am_ard_3-2-1_50KLB_2020-07-13_final.stac-item
2020-07-13 12:04:00	ga_s2am_ard_3-2-1_50KLA_2020-07-13_final.stac-item
2020-07-13 12:04:15	ga_s2am_ard_3-2-1_50KLV_2020-07-13_final.stac-item
2020-07-13 12:04:29	ga_s2am_ard_3-2-1_50KLU_2020-07-13_final.stac-item
2020-07-13 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-07-13_final.stac-item
2020-07-13 12:04:58	ga_s2am_ard_3-2-1_50JLS_2020-07-13_final.stac-item
2020-07-13 12:05:12	ga_s2am_ard_3-2-1_50JLR_2020-07-13_final.stac-item
2020-07-13 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2020-07-13_final.stac-item
2020-07-23 12:03:46	ga_s2am_ard_3-2-1_50KLB_2020-07-23_final.stac-item
2020-07-23 12:04:01	ga_s2am_ard_3-2-1_50KLA_2020-07-23_final.stac-item
2020-07-23 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-07-23_final.stac-item
2020-07-23 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-07-23_final.stac-item
2020-07-23 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-07-23_final.stac-item
2020-07-23 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-07-23_final.stac-item
2020-07-30 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-07-30_final.stac-item
2020-07-30 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-07-30_final.stac-item
2020-07-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-30_final.stac-item
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final.stac-item
2020-08-02 12:04:16	ga_s2am_ard_3-2-1_50KLV_2020-08-02_final.stac-item
2020-08-02 12:04:31	ga_s2am_ard_3-2-1_50KLU_2020-08-02_final.stac-item
2020-08-02 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-08-02_final.stac-item
2020-08-02 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-08-02_final.stac-item
2020-08-02 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-02_final.stac-item
2020-08-02 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-02_final.stac-item
2020-08-09 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-08-09_final.stac-item
2020-08-09 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-08-09_final.stac-item
2020-08-09 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-08-09_final.stac-item
2020-08-09 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-08-09_final.stac-item
2020-08-09 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-08-09_final.stac-item
2020-08-09 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-08-09_final.stac-item
2020-08-09 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-08-09_final.stac-item
2020-08-09 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-08-09_final.stac-item
2020-08-12 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-08-12_final.stac-item
2020-08-12 12:03:47	ga_s2am_ard_3-2-1_50KLB_2020-08-12_final.stac-item
2020-08-12 12:04:02	ga_s2am_ard_3-2-1_50KLA_2020-08-12_final.stac-item
2020-08-12 12:04:16	ga_s2am_ard_3-2-1_50KLV_2020-08-12_final.stac-item
2020-08-12 12:04:31	ga_s2am_ard_3-2-1_50KLU_2020-08-12_final.stac-item
2020-08-12 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-08-12_final.stac-item
2020-08-12 12:05:00	ga_s2am_ard_3-2-1_50JLS_2020-08-12_final.stac-item
2020-08-12 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-12_final.stac-item
2020-08-12 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-12_final.stac-item
2021-05-03 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-05-03_final
2021-05-13 11:47:26	ga_s2am_ard_3-2-1_50HLG_2021-05-13_final
2021-07-05 11:55:00	ga_s2am_ard_3-2-1_50JLS_2021-07-05_final.stac-item
2021-07-05 11:55:15	ga_s2am_ard_3-2-1_50JLR_2021-07-05_final.stac-item
2021-07-05 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-05_final.stac-item
2021-07-05 11:55:44	ga_s2am_ard_3-2-1_50JLP_2021-07-05_final.stac-item
2021-07-05 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-05_final.stac-item
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final.stac-item
2021-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final.stac-item
2021-07-05 11:56:28	ga_s2am_ard_3-2-1_50JLL_2021-07-05_final.stac-item
2021-07-05 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-05_final.stac-item
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final.stac-item
2021-07-05 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-05_final.stac-item
2021-07-05 11:57:26	ga_s2am_ard_3-2-1_50HLG_2021-07-05_final
2021-07-18 12:03:30	ga_s2am_ard_3-2-1_50KLC_2021-07-18_final.stac-item
2021-07-18 12:03:44	ga_s2am_ard_3-2-1_50KLB_2021-07-18_final.stac-item
2021-07-18 12:03:59	ga_s2am_ard_3-2-1_50KLA_2021-07-18_final.stac-item
2021-07-18 12:04:13	ga_s2am_ard_3-2-1_50KLV_2021-07-18_final.stac-item
2021-07-18 12:04:28	ga_s2am_ard_3-2-1_50KLU_2021-07-18_final.stac-item
2021-07-18 12:04:43	ga_s2am_ard_3-2-1_50JLT_2021-07-18_final.stac-item
2021-07-18 12:04:57	ga_s2am_ard_3-2-1_50JLS_2021-07-18_final.stac-item
2021-07-18 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-07-18_final.stac-item
2021-07-18 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-07-18_final.stac-item
2022-05-24 12:04:46	ga_s2am_ard_3-2-1_50JLT_2022-05-24_final.stac-item
2022-05-24 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-05-24_final.stac-item
2022-05-24 12:05:15	ga_s2am_ard_3-2-1_50JLR_2022-05-24_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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