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
2019-07-20 09:53:16	ga_s2am_ard_3-2-1_55KGQ_2019-07-20_final.stac-item
2019-07-20 09:53:20	ga_s2am_ard_3-2-1_55KFQ_2019-07-20_final.stac-item
2019-07-20 09:53:23	ga_s2am_ard_3-2-1_55KEQ_2019-07-20_final.stac-item
2019-07-20 09:53:26	ga_s2am_ard_3-2-1_55KDQ_2019-07-20_final.stac-item
2019-07-21 11:03:47	ga_s2am_ard_3-2-1_52KGV_2019-07-21_final.stac-item
2019-07-21 11:03:51	ga_s2am_ard_3-2-1_52KFV_2019-07-21_final.stac-item
2019-07-21 11:03:54	ga_s2am_ard_3-2-1_52KEV_2019-07-21_final.stac-item
2019-07-21 11:03:59	ga_s2am_ard_3-2-1_52KDV_2019-07-21_final.stac-item
2019-07-24 11:13:49	ga_s2am_ard_3-2-1_52KEV_2019-07-24_final.stac-item
2019-07-24 11:13:53	ga_s2am_ard_3-2-1_52KDV_2019-07-24_final.stac-item
2019-07-24 11:13:56	ga_s2am_ard_3-2-1_52KCV_2019-07-24_final.stac-item
2019-07-24 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-07-24_final.stac-item
2019-07-24 11:13:59	ga_s2am_ard_3-2-1_52KBV_2019-07-24_final.stac-item
2019-07-24 11:14:14	ga_s2am_ard_3-2-1_51KZP_2019-07-24_final.stac-item
2019-07-28 10:53:41	ga_s2am_ard_3-2-1_53KMQ_2019-07-28_final.stac-item
2019-07-28 10:53:44	ga_s2am_ard_3-2-1_53KLQ_2019-07-28_final.stac-item
2019-07-28 10:53:47	ga_s2am_ard_3-2-1_52KHV_2019-07-28_final.stac-item
2019-07-28 10:53:47	ga_s2am_ard_3-2-1_53KKQ_2019-07-28_final.stac-item
2019-07-28 10:53:49	ga_s2am_ard_3-2-1_52KGV_2019-07-28_final.stac-item
2019-07-28 10:53:54	ga_s2am_ard_3-2-1_53KKQ_2019-07-28_final.stac-item
2019-07-28 10:53:54	ga_s2am_ard_3-2-1_52KHV_2019-07-28_final.stac-item
2019-07-28 10:53:55	ga_s2am_ard_3-2-1_52KHU_2019-07-28_final.stac-item
2019-07-28 10:53:56	ga_s2am_ard_3-2-1_52KGV_2019-07-28_final.stac-item
2019-07-31 11:03:46	ga_s2am_ard_3-2-1_52KGV_2019-07-31_final.stac-item
2019-07-31 11:03:50	ga_s2am_ard_3-2-1_52KFV_2019-07-31_final.stac-item
2019-07-31 11:03:54	ga_s2am_ard_3-2-1_52KEV_2019-07-31_final.stac-item
2019-07-31 11:03:58	ga_s2am_ard_3-2-1_52KDV_2019-07-31_final.stac-item
2019-08-04 10:43:38	ga_s2am_ard_3-2-1_53KPQ_2019-08-04_final.stac-item
2019-08-04 10:43:42	ga_s2am_ard_3-2-1_53KNQ_2019-08-04_final.stac-item
2019-08-04 10:43:45	ga_s2am_ard_3-2-1_53KMQ_2019-08-04_final.stac-item
2019-08-04 10:43:50	ga_s2am_ard_3-2-1_53KLQ_2019-08-04_final.stac-item
2019-08-10 11:03:45	ga_s2am_ard_3-2-1_52KGV_2019-08-10_final.stac-item
2019-08-10 11:03:49	ga_s2am_ard_3-2-1_52KFV_2019-08-10_final.stac-item
2019-08-10 11:03:53	ga_s2am_ard_3-2-1_52KEV_2019-08-10_final.stac-item
2019-08-10 11:03:57	ga_s2am_ard_3-2-1_52KDV_2019-08-10_final.stac-item
2019-12-07 09:53:09	ga_s2am_ard_3-2-1_55KGQ_2019-12-07_final.stac-item
2019-12-07 09:53:12	ga_s2am_ard_3-2-1_55KFQ_2019-12-07_final.stac-item
2019-12-07 09:53:16	ga_s2am_ard_3-2-1_55KEQ_2019-12-07_final.stac-item
2019-12-07 09:53:19	ga_s2am_ard_3-2-1_55KDQ_2019-12-07_final.stac-item
2019-12-08 11:03:46	ga_s2am_ard_3-2-1_52KEV_2019-12-08_final.stac-item
2019-12-08 11:03:51	ga_s2am_ard_3-2-1_52KDV_2019-12-08_final.stac-item
2020-04-16 11:03:41	ga_s2am_ard_3-2-1_52KGV_2020-04-16_final.stac-item
2020-04-16 11:03:45	ga_s2am_ard_3-2-1_52KFV_2020-04-16_final.stac-item
2020-04-16 11:03:49	ga_s2am_ard_3-2-1_52KEV_2020-04-16_final.stac-item
2020-04-16 11:03:53	ga_s2am_ard_3-2-1_52KDV_2020-04-16_final.stac-item
2020-04-17 10:33:27	ga_s2am_ard_3-2-1_54KUV_2020-04-17_final.stac-item
2020-04-17 10:33:31	ga_s2am_ard_3-2-1_54KTV_2020-04-17_final.stac-item
2020-04-17 10:33:31	ga_s2am_ard_3-2-1_53KRQ_2020-04-17_final.stac-item
2020-04-17 10:33:35	ga_s2am_ard_3-2-1_53KQQ_2020-04-17_final.stac-item
2020-04-17 10:33:38	ga_s2am_ard_3-2-1_53KPQ_2020-04-17_final.stac-item
2020-04-17 10:33:45	ga_s2am_ard_3-2-1_53KRP_2020-04-17_final.stac-item
2020-04-17 12:14:07	ga_s2am_ard_3-2-1_50KKV_2020-04-17_final.stac-item
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final.stac-item
2020-04-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2020-04-17_final.stac-item
2020-04-19 11:13:45	ga_s2am_ard_3-2-1_52KEV_2020-04-19_final.stac-item
2020-04-19 11:13:48	ga_s2am_ard_3-2-1_52KDV_2020-04-19_final.stac-item
2020-04-19 11:13:52	ga_s2am_ard_3-2-1_52KCV_2020-04-19_final.stac-item
2020-04-19 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2020-04-19_final.stac-item
2020-04-19 11:13:55	ga_s2am_ard_3-2-1_52KBV_2020-04-19_final.stac-item
2020-04-20 10:43:34	ga_s2am_ard_3-2-1_53KPQ_2020-04-20_final.stac-item
2020-04-20 10:43:38	ga_s2am_ard_3-2-1_53KNQ_2020-04-20_final.stac-item
2020-04-20 10:43:41	ga_s2am_ard_3-2-1_53KMQ_2020-04-20_final.stac-item
2020-04-20 10:43:46	ga_s2am_ard_3-2-1_53KLQ_2020-04-20_final.stac-item
2020-04-27 10:33:30	ga_s2am_ard_3-2-1_54KUV_2020-04-27_final.stac-item
2020-04-27 10:33:33	ga_s2am_ard_3-2-1_54KTV_2020-04-27_final.stac-item
2020-04-27 10:33:33	ga_s2am_ard_3-2-1_53KRQ_2020-04-27_final.stac-item
2020-04-27 10:33:37	ga_s2am_ard_3-2-1_53KQQ_2020-04-27_final.stac-item
2020-04-27 10:33:40	ga_s2am_ard_3-2-1_53KPQ_2020-04-27_final.stac-item
2020-04-27 10:33:48	ga_s2am_ard_3-2-1_53KRP_2020-04-27_final.stac-item
2020-04-27 12:14:10	ga_s2am_ard_3-2-1_50KKV_2020-04-27_final.stac-item
2020-04-27 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2020-04-27_final.stac-item
2020-04-27 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2020-04-27_final.stac-item
2020-04-28 10:03:19	ga_s2am_ard_3-2-1_55KDQ_2020-04-28_final.stac-item
2020-04-28 10:03:23	ga_s2am_ard_3-2-1_55KCQ_2020-04-28_final.stac-item
2020-04-28 10:03:26	ga_s2am_ard_3-2-1_55KBQ_2020-04-28_final.stac-item
2020-04-28 10:03:26	ga_s2am_ard_3-2-1_54KZV_2020-04-28_final.stac-item
2020-04-28 10:03:34	ga_s2am_ard_3-2-1_54KYV_2020-04-28_final.stac-item
2020-04-28 10:03:41	ga_s2am_ard_3-2-1_54KZU_2020-04-28_final.stac-item
2020-05-05 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2020-05-05_final.stac-item
2020-05-05 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2020-05-05_final.stac-item
2020-05-05 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2020-05-05_final.stac-item
2020-05-05 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2020-05-05_final.stac-item
2020-05-11 11:54:05	ga_s2am_ard_3-2-1_50KQV_2020-05-11_final.stac-item
2020-05-11 11:54:09	ga_s2am_ard_3-2-1_50KPV_2020-05-11_final.stac-item
2020-05-11 11:54:13	ga_s2am_ard_3-2-1_50KNV_2020-05-11_final.stac-item
2020-05-11 11:54:16	ga_s2am_ard_3-2-1_50KMV_2020-05-11_final.stac-item
2020-05-17 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-05-17_final.stac-item
2020-05-17 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-05-17_final.stac-item
2020-05-17 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-05-17_final.stac-item
2020-05-19 11:13:50	ga_s2am_ard_3-2-1_52KEV_2020-05-19_final.stac-item
2020-05-19 11:13:53	ga_s2am_ard_3-2-1_52KDV_2020-05-19_final.stac-item
2020-05-19 11:13:57	ga_s2am_ard_3-2-1_52KCV_2020-05-19_final.stac-item
2020-05-19 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2020-05-19_final.stac-item
2020-05-19 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-05-19_final.stac-item
2020-05-19 11:14:14	ga_s2am_ard_3-2-1_51KZP_2020-05-19_final.stac-item
2020-05-23 10:53:42	ga_s2am_ard_3-2-1_53KMQ_2020-05-23_final.stac-item
2020-05-23 10:53:45	ga_s2am_ard_3-2-1_53KLQ_2020-05-23_final.stac-item
2020-05-23 10:53:48	ga_s2am_ard_3-2-1_53KKQ_2020-05-23_final.stac-item
2020-05-23 10:53:48	ga_s2am_ard_3-2-1_52KHV_2020-05-23_final.stac-item
2020-05-23 10:53:52	ga_s2am_ard_3-2-1_52KGV_2020-05-23_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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