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
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KPV_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KQU_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KQV_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRU_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRV_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KTQ_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUQ_2018-10-26_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KKV_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KLV_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KMV_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-11-01_final.stac-item
2018-11-15 11:44:14	ga_s2am_ard_3-2-1_50KQU_2018-11-15_final.stac-item
2019-04-29 10:53:39	ga_s2am_ard_3-2-1_53KMQ_2019-04-29_final.stac-item
2019-04-29 10:53:43	ga_s2am_ard_3-2-1_53KLQ_2019-04-29_final.stac-item
2019-04-29 10:53:46	ga_s2am_ard_3-2-1_53KKQ_2019-04-29_final.stac-item
2019-04-29 10:53:46	ga_s2am_ard_3-2-1_52KHV_2019-04-29_final.stac-item
2019-04-29 10:53:50	ga_s2am_ard_3-2-1_52KGV_2019-04-29_final.stac-item
2019-04-29 10:54:01	ga_s2am_ard_3-2-1_52KHU_2019-04-29_final.stac-item
2019-04-29 10:54:04	ga_s2am_ard_3-2-1_52KGU_2019-04-29_final.stac-item
2020-08-11 10:53:42	ga_s2am_ard_3-2-1_53KMQ_2020-08-11_final.stac-item
2020-08-11 10:53:45	ga_s2am_ard_3-2-1_53KLQ_2020-08-11_final.stac-item
2020-08-11 10:53:49	ga_s2am_ard_3-2-1_53KKQ_2020-08-11_final.stac-item
2020-08-11 10:53:49	ga_s2am_ard_3-2-1_52KHV_2020-08-11_final.stac-item
2020-08-11 10:53:52	ga_s2am_ard_3-2-1_52KGV_2020-08-11_final.stac-item
2020-08-11 10:54:03	ga_s2am_ard_3-2-1_52KHU_2020-08-11_final.stac-item
2020-08-11 10:54:07	ga_s2am_ard_3-2-1_52KGU_2020-08-11_final.stac-item
2020-08-12 10:23:31	ga_s2am_ard_3-2-1_54KWV_2020-08-12_final.stac-item
2020-08-12 10:23:35	ga_s2am_ard_3-2-1_54KVV_2020-08-12_final.stac-item
2020-08-12 10:23:38	ga_s2am_ard_3-2-1_54KUV_2020-08-12_final.stac-item
2020-08-12 10:23:43	ga_s2am_ard_3-2-1_54KTV_2020-08-12_final.stac-item
2020-08-12 10:23:46	ga_s2am_ard_3-2-1_53KRQ_2020-08-12_final.stac-item
2020-08-12 10:23:56	ga_s2am_ard_3-2-1_53KRP_2020-08-12_final.stac-item
2020-10-14 10:33:55	ga_s2am_ard_3-2-1_53KQP_2020-10-14_final.stac-item
2020-10-14 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-10-14_final.stac-item
2020-10-14 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-14_final.stac-item
2020-10-14 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-10-14_final.stac-item
2020-10-14 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-14_final.stac-item
2020-10-14 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-10-14_final.stac-item
2020-10-15 10:03:23	ga_s2am_ard_3-2-1_55KDQ_2020-10-15_final.stac-item
2020-10-15 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2020-10-15_final.stac-item
2020-10-15 10:03:29	ga_s2am_ard_3-2-1_55KBQ_2020-10-15_final.stac-item
2020-10-15 10:03:30	ga_s2am_ard_3-2-1_54KZV_2020-10-15_final.stac-item
2020-10-15 10:03:37	ga_s2am_ard_3-2-1_54KYV_2020-10-15_final.stac-item
2020-10-15 10:03:44	ga_s2am_ard_3-2-1_54KZU_2020-10-15_final.stac-item
2020-10-15 10:03:48	ga_s2am_ard_3-2-1_54KYU_2020-10-15_final.stac-item
2020-10-24 10:33:54	ga_s2am_ard_3-2-1_53KQP_2020-10-24_final.stac-item
2020-10-24 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-10-24_final.stac-item
2020-10-24 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-24_final.stac-item
2020-10-24 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-10-24_final.stac-item
2020-10-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-10-24_final.stac-item
2020-10-24 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-10-24_final.stac-item
2020-10-25 10:03:22	ga_s2am_ard_3-2-1_55KDQ_2020-10-25_final.stac-item
2020-10-25 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2020-10-25_final.stac-item
2020-10-25 10:03:29	ga_s2am_ard_3-2-1_55KBQ_2020-10-25_final.stac-item
2020-10-25 10:03:29	ga_s2am_ard_3-2-1_54KZV_2020-10-25_final.stac-item
2020-10-25 10:03:37	ga_s2am_ard_3-2-1_54KYV_2020-10-25_final.stac-item
2020-10-25 10:03:43	ga_s2am_ard_3-2-1_54KZU_2020-10-25_final.stac-item
2020-10-25 10:03:48	ga_s2am_ard_3-2-1_54KYU_2020-10-25_final.stac-item
2020-11-03 10:33:40	ga_s2am_ard_3-2-1_53KQQ_2020-11-03_final.stac-item
2020-11-03 10:33:43	ga_s2am_ard_3-2-1_53KPQ_2020-11-03_final.stac-item
2020-11-03 10:33:50	ga_s2am_ard_3-2-1_53KRP_2020-11-03_final.stac-item
2020-11-03 10:33:54	ga_s2am_ard_3-2-1_53KQP_2020-11-03_final.stac-item
2021-10-03 10:13:24	ga_s2am_ard_3-2-1_55KBQ_2021-10-03_final.stac-item
2021-10-03 10:13:24	ga_s2am_ard_3-2-1_54KZV_2021-10-03_final.stac-item
2021-10-03 10:13:28	ga_s2am_ard_3-2-1_54KYV_2021-10-03_final.stac-item
2021-10-03 10:13:31	ga_s2am_ard_3-2-1_54KXV_2021-10-03_final.stac-item
2021-10-03 10:13:34	ga_s2am_ard_3-2-1_54KWV_2021-10-03_final.stac-item
2021-10-03 10:13:38	ga_s2am_ard_3-2-1_54KZU_2021-10-03_final.stac-item
2021-10-03 10:13:42	ga_s2am_ard_3-2-1_54KYU_2021-10-03_final.stac-item
2021-10-07 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2021-10-07_final.stac-item
2021-10-07 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2021-10-07_final.stac-item
2021-10-07 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2021-10-07_final.stac-item
2021-10-07 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2021-10-07_final.stac-item
2021-10-11 09:33:18	ga_s2am_ard_3-2-1_56KLV_2021-10-11_final.stac-item
2021-10-11 11:13:49	ga_s2am_ard_3-2-1_52KEV_2021-10-11_final.stac-item
2021-10-11 11:13:53	ga_s2am_ard_3-2-1_52KDV_2021-10-11_final.stac-item
2021-10-11 11:13:56	ga_s2am_ard_3-2-1_52KCV_2021-10-11_final.stac-item
2021-10-11 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2021-10-11_final.stac-item
2021-10-11 11:13:59	ga_s2am_ard_3-2-1_52KBV_2021-10-11_final.stac-item
2021-10-11 11:14:14	ga_s2am_ard_3-2-1_51KZP_2021-10-11_final.stac-item
2021-10-12 10:43:39	ga_s2am_ard_3-2-1_53KPQ_2021-10-12_final.stac-item
2021-10-12 10:43:43	ga_s2am_ard_3-2-1_53KNQ_2021-10-12_final.stac-item
2021-10-12 10:43:46	ga_s2am_ard_3-2-1_53KMQ_2021-10-12_final.stac-item
2021-10-12 10:43:50	ga_s2am_ard_3-2-1_53KLQ_2021-10-12_final.stac-item
2021-10-21 09:33:18	ga_s2am_ard_3-2-1_56KLV_2021-10-21_final.stac-item
2021-10-21 11:13:49	ga_s2am_ard_3-2-1_52KEV_2021-10-21_final.stac-item
2021-10-21 11:13:53	ga_s2am_ard_3-2-1_52KDV_2021-10-21_final.stac-item
2021-10-21 11:13:57	ga_s2am_ard_3-2-1_52KCV_2021-10-21_final.stac-item
2021-10-21 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2021-10-21_final.stac-item
2021-10-21 11:14:00	ga_s2am_ard_3-2-1_52KBV_2021-10-21_final.stac-item
2021-10-21 11:14:14	ga_s2am_ard_3-2-1_51KZP_2021-10-21_final.stac-item
2021-10-23 10:13:24	ga_s2am_ard_3-2-1_55KBQ_2021-10-23_final.stac-item
2021-10-23 10:13:25	ga_s2am_ard_3-2-1_54KZV_2021-10-23_final.stac-item
2021-10-23 10:13:28	ga_s2am_ard_3-2-1_54KYV_2021-10-23_final.stac-item
2021-10-23 10:13:32	ga_s2am_ard_3-2-1_54KXV_2021-10-23_final.stac-item
2021-10-23 10:13:35	ga_s2am_ard_3-2-1_54KWV_2021-10-23_final.stac-item
2021-10-23 10:13:38	ga_s2am_ard_3-2-1_54KZU_2021-10-23_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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