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
2018-12-15 11:43:49	ga_s2am_ard_3-2-1_51KUQ_2018-12-15_final.stac-item
2018-12-15 11:43:53	ga_s2am_ard_3-2-1_51KTQ_2018-12-15_final.stac-item
2018-12-15 11:43:53	ga_s2am_ard_3-2-1_50KRV_2018-12-15_final.stac-item
2018-12-15 11:43:57	ga_s2am_ard_3-2-1_50KQV_2018-12-15_final.stac-item
2018-12-15 11:44:01	ga_s2am_ard_3-2-1_50KPV_2018-12-15_final.stac-item
2018-12-15 11:44:04	ga_s2am_ard_3-2-1_51KUP_2018-12-15_final.stac-item
2018-12-15 11:44:08	ga_s2am_ard_3-2-1_50KRU_2018-12-15_final.stac-item
2018-12-15 11:44:08	ga_s2am_ard_3-2-1_51KTP_2018-12-15_final.stac-item
2018-12-15 11:44:11	ga_s2am_ard_3-2-1_50KQU_2018-12-15_final.stac-item
2018-12-15 11:44:14	ga_s2am_ard_3-2-1_50KPU_2018-12-15_final.stac-item
2018-12-19 11:23:41	ga_s2am_ard_3-2-1_52KBV_2018-12-19_final.stac-item
2018-12-19 11:23:41	ga_s2am_ard_3-2-1_51KZQ_2018-12-19_final.stac-item
2018-12-19 11:23:45	ga_s2am_ard_3-2-1_51KYQ_2018-12-19_final.stac-item
2018-12-19 11:23:48	ga_s2am_ard_3-2-1_51KXQ_2018-12-19_final.stac-item
2018-12-19 11:23:53	ga_s2am_ard_3-2-1_51KWQ_2018-12-19_final.stac-item
2018-12-19 11:23:55	ga_s2am_ard_3-2-1_51KZP_2018-12-19_final.stac-item
2018-12-19 11:23:56	ga_s2am_ard_3-2-1_52KBU_2018-12-19_final.stac-item
2018-12-19 11:23:59	ga_s2am_ard_3-2-1_51KYP_2018-12-19_final.stac-item
2018-12-19 11:24:03	ga_s2am_ard_3-2-1_51KXP_2018-12-19_final.stac-item
2018-12-22 11:33:55	ga_s2am_ard_3-2-1_51KUQ_2018-12-22_final.stac-item
2018-12-25 11:43:51	ga_s2am_ard_3-2-1_51KUQ_2018-12-25_final.stac-item
2018-12-25 11:43:54	ga_s2am_ard_3-2-1_51KTQ_2018-12-25_final.stac-item
2018-12-25 11:43:54	ga_s2am_ard_3-2-1_50KRV_2018-12-25_final.stac-item
2018-12-25 11:43:58	ga_s2am_ard_3-2-1_50KQV_2018-12-25_final.stac-item
2018-12-25 11:44:02	ga_s2am_ard_3-2-1_50KPV_2018-12-25_final.stac-item
2018-12-25 11:44:05	ga_s2am_ard_3-2-1_51KUP_2018-12-25_final.stac-item
2018-12-25 11:44:09	ga_s2am_ard_3-2-1_50KRU_2018-12-25_final.stac-item
2018-12-25 11:44:09	ga_s2am_ard_3-2-1_51KTP_2018-12-25_final.stac-item
2018-12-25 11:44:12	ga_s2am_ard_3-2-1_50KQU_2018-12-25_final.stac-item
2018-12-25 11:44:16	ga_s2am_ard_3-2-1_50KPU_2018-12-25_final.stac-item
2019-01-01 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2019-01-01_final.stac-item
2019-01-01 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2019-01-01_final.stac-item
2019-01-04 11:43:52	ga_s2am_ard_3-2-1_51KUQ_2019-01-04_final.stac-item
2019-01-04 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2019-01-04_final.stac-item
2019-01-04 11:43:56	ga_s2am_ard_3-2-1_50KRV_2019-01-04_final.stac-item
2019-01-04 11:44:00	ga_s2am_ard_3-2-1_50KQV_2019-01-04_final.stac-item
2019-01-04 11:44:04	ga_s2am_ard_3-2-1_50KPV_2019-01-04_final.stac-item
2019-01-04 11:44:07	ga_s2am_ard_3-2-1_51KUP_2019-01-04_final.stac-item
2019-01-04 11:44:11	ga_s2am_ard_3-2-1_50KRU_2019-01-04_final.stac-item
2019-01-04 11:44:11	ga_s2am_ard_3-2-1_51KTP_2019-01-04_final.stac-item
2019-01-04 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-01-04_final.stac-item
2019-01-04 11:44:17	ga_s2am_ard_3-2-1_50KPU_2019-01-04_final.stac-item
2019-01-05 09:33:07	ga_s2am_ard_3-2-1_56KLV_2019-01-05_final.stac-item
2019-01-07 10:13:14	ga_s2am_ard_3-2-1_55KBQ_2019-01-07_final.stac-item
2019-01-07 10:13:14	ga_s2am_ard_3-2-1_54KZV_2019-01-07_final.stac-item
2019-01-07 10:13:18	ga_s2am_ard_3-2-1_54KYV_2019-01-07_final.stac-item
2019-01-07 10:13:21	ga_s2am_ard_3-2-1_54KXV_2019-01-07_final.stac-item
2019-01-07 10:13:25	ga_s2am_ard_3-2-1_54KWV_2019-01-07_final.stac-item
2019-01-07 10:13:27	ga_s2am_ard_3-2-1_55KBP_2019-01-07_final.stac-item
2019-01-07 10:13:28	ga_s2am_ard_3-2-1_54KZU_2019-01-07_final.stac-item
2019-01-07 10:13:32	ga_s2am_ard_3-2-1_54KYU_2019-01-07_final.stac-item
2019-01-07 10:13:36	ga_s2am_ard_3-2-1_54KXU_2019-01-07_final.stac-item
2019-06-08 10:53:38	ga_s2am_ard_3-2-1_53KMQ_2019-06-08_final.stac-item
2019-06-08 10:53:42	ga_s2am_ard_3-2-1_53KLQ_2019-06-08_final.stac-item
2019-06-08 10:53:45	ga_s2am_ard_3-2-1_53KKQ_2019-06-08_final.stac-item
2019-06-08 10:53:45	ga_s2am_ard_3-2-1_52KHV_2019-06-08_final.stac-item
2019-06-08 10:53:48	ga_s2am_ard_3-2-1_52KGV_2019-06-08_final.stac-item
2019-06-08 10:53:56	ga_s2am_ard_3-2-1_53KLP_2019-06-08_final.stac-item
2019-06-08 10:53:59	ga_s2am_ard_3-2-1_53KKP_2019-06-08_final.stac-item
2019-06-08 10:53:59	ga_s2am_ard_3-2-1_52KHU_2019-06-08_final.stac-item
2019-06-08 10:54:03	ga_s2am_ard_3-2-1_52KGU_2019-06-08_final.stac-item
2019-06-16 10:13:37	ga_s2am_ard_3-2-1_54KZU_2019-06-16_final.stac-item
2019-06-16 10:13:41	ga_s2am_ard_3-2-1_54KYU_2019-06-16_final.stac-item
2019-06-16 10:13:44	ga_s2am_ard_3-2-1_54KXU_2019-06-16_final.stac-item
2019-06-18 10:53:40	ga_s2am_ard_3-2-1_53KMQ_2019-06-18_final.stac-item
2019-06-18 10:53:43	ga_s2am_ard_3-2-1_53KLQ_2019-06-18_final.stac-item
2019-06-18 10:53:46	ga_s2am_ard_3-2-1_53KKQ_2019-06-18_final.stac-item
2019-06-18 10:53:46	ga_s2am_ard_3-2-1_52KHV_2019-06-18_final.stac-item
2019-06-18 10:53:50	ga_s2am_ard_3-2-1_52KGV_2019-06-18_final.stac-item
2019-06-18 10:53:57	ga_s2am_ard_3-2-1_53KLP_2019-06-18_final.stac-item
2019-06-18 10:54:01	ga_s2am_ard_3-2-1_53KKP_2019-06-18_final.stac-item
2019-06-18 10:54:01	ga_s2am_ard_3-2-1_52KHU_2019-06-18_final.stac-item
2019-06-18 10:54:04	ga_s2am_ard_3-2-1_52KGU_2019-06-18_final.stac-item
2019-06-20 09:53:15	ga_s2am_ard_3-2-1_55KGQ_2019-06-20_final.stac-item
2019-06-20 09:53:19	ga_s2am_ard_3-2-1_55KFQ_2019-06-20_final.stac-item
2019-06-20 09:53:22	ga_s2am_ard_3-2-1_55KEQ_2019-06-20_final.stac-item
2019-06-20 09:53:25	ga_s2am_ard_3-2-1_55KDQ_2019-06-20_final.stac-item
2019-06-20 09:53:29	ga_s2am_ard_3-2-1_55KGP_2019-06-20_final.stac-item
2019-06-20 09:53:33	ga_s2am_ard_3-2-1_55KFP_2019-06-20_final.stac-item
2019-07-06 11:54:06	ga_s2am_ard_3-2-1_50KQV_2019-07-06_final.stac-item
2019-07-06 11:54:09	ga_s2am_ard_3-2-1_50KPV_2019-07-06_final.stac-item
2019-07-06 11:54:13	ga_s2am_ard_3-2-1_50KNV_2019-07-06_final.stac-item
2019-07-06 11:54:16	ga_s2am_ard_3-2-1_50KMV_2019-07-06_final.stac-item
2019-07-06 11:54:18	ga_s2am_ard_3-2-1_50KQU_2019-07-06_final.stac-item
2019-07-06 11:54:24	ga_s2am_ard_3-2-1_50KPU_2019-07-06_final.stac-item
2019-07-13 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2019-07-13_final.stac-item
2019-07-13 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2019-07-13_final.stac-item
2019-07-13 11:44:07	ga_s2am_ard_3-2-1_50KRV_2019-07-13_final.stac-item
2019-07-13 11:44:10	ga_s2am_ard_3-2-1_50KQV_2019-07-13_final.stac-item
2019-07-13 11:44:15	ga_s2am_ard_3-2-1_50KPV_2019-07-13_final.stac-item
2019-07-13 11:44:18	ga_s2am_ard_3-2-1_51KUP_2019-07-13_final.stac-item
2019-07-13 11:44:21	ga_s2am_ard_3-2-1_50KRU_2019-07-13_final.stac-item
2019-07-13 11:44:21	ga_s2am_ard_3-2-1_51KTP_2019-07-13_final.stac-item
2019-07-13 11:44:25	ga_s2am_ard_3-2-1_50KQU_2019-07-13_final.stac-item
2019-07-13 11:44:28	ga_s2am_ard_3-2-1_50KPU_2019-07-13_final.stac-item
2019-07-16 11:54:06	ga_s2am_ard_3-2-1_50KQV_2019-07-16_final.stac-item
2019-07-16 11:54:10	ga_s2am_ard_3-2-1_50KPV_2019-07-16_final.stac-item
2019-07-16 11:54:13	ga_s2am_ard_3-2-1_50KNV_2019-07-16_final.stac-item
2019-07-16 11:54:16	ga_s2am_ard_3-2-1_50KMV_2019-07-16_final.stac-item
2019-07-16 11:54:18	ga_s2am_ard_3-2-1_50KQU_2019-07-16_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

All years