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
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JVT_2017-06-16_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JWT_2017-06-16_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JXT_2017-06-16_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JYT_2017-06-16_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JZT_2017-06-16_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_55JBN_2017-06-16_final.stac-item
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_56JKT_2017-06-27_final.stac-item
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_56JLT_2017-06-27_final.stac-item
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_55JFN_2017-06-27_final.stac-item
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_55JGN_2017-06-27_final.stac-item
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_55JHN_2017-06-27_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JWN_2017-06-27_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_54JTT_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_54JUT_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53JNN_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53JPN_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53JQN_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53JRN_2017-07-02_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JPT_2017-07-03_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JQT_2017-07-03_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JRT_2017-07-03_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51JTN_2017-07-03_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51JUN_2017-07-03_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51JYN_2017-07-04_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51JZN_2017-07-04_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52JBT_2017-07-04_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52JCT_2017-07-04_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52JDT_2017-07-04_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLT_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JMT_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_50JRT_2017-07-10_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51JTN_2017-07-10_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51JUN_2017-07-10_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51JVN_2017-07-10_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51JWN_2017-07-10_final.stac-item
2017-07-21 09:22:46	ga_s2am_ard_3-2-1_56JNT_2017-07-20_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52JET_2017-07-21_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52JFT_2017-07-21_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52JGT_2017-07-21_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55JCN_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55JDN_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55JEN_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55JFN_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55JGN_2017-08-09_final.stac-item
2017-08-10 09:22:46	ga_s2am_ard_3-2-1_56JNT_2017-08-09_final.stac-item
2017-08-10 11:02:13	ga_s2am_ard_3-2-1_52JDT_2017-08-10_final.stac-item
2017-08-10 11:02:13	ga_s2am_ard_3-2-1_52JFT_2017-08-10_final.stac-item
2017-08-10 11:02:13	ga_s2am_ard_3-2-1_52JGT_2017-08-10_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JYN_2017-08-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JZN_2017-08-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBT_2017-08-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JCT_2017-08-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JDT_2017-08-13_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JFN_2017-08-21_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGN_2017-08-21_final.stac-item
2019-06-27 11:24:23	ga_s2am_ard_3-2-1_51JZN_2019-06-27_final.stac-item
2019-06-27 11:24:23	ga_s2am_ard_3-2-1_52JBT_2019-06-27_final.stac-item
2019-06-27 11:24:27	ga_s2am_ard_3-2-1_51JYN_2019-06-27_final.stac-item
2019-06-27 11:24:31	ga_s2am_ard_3-2-1_51JXN_2019-06-27_final.stac-item
2019-06-27 11:24:34	ga_s2am_ard_3-2-1_51JWN_2019-06-27_final.stac-item
2019-06-30 11:34:30	ga_s2am_ard_3-2-1_51JWN_2019-06-30_final.stac-item
2019-06-30 11:34:33	ga_s2am_ard_3-2-1_51JVN_2019-06-30_final.stac-item
2019-06-30 11:34:37	ga_s2am_ard_3-2-1_51JUN_2019-06-30_final.stac-item
2019-06-30 11:34:41	ga_s2am_ard_3-2-1_51JTN_2019-06-30_final.stac-item
2019-06-30 11:34:41	ga_s2am_ard_3-2-1_50JRT_2019-06-30_final.stac-item
2019-07-03 11:44:32	ga_s2am_ard_3-2-1_51JUN_2019-07-03_final.stac-item
2019-07-03 11:44:35	ga_s2am_ard_3-2-1_50JRT_2019-07-03_final.stac-item
2019-07-03 11:44:36	ga_s2am_ard_3-2-1_51JTN_2019-07-03_final.stac-item
2019-07-03 11:44:39	ga_s2am_ard_3-2-1_50JQT_2019-07-03_final.stac-item
2019-07-03 11:44:43	ga_s2am_ard_3-2-1_50JPT_2019-07-03_final.stac-item
2019-07-06 11:54:39	ga_s2am_ard_3-2-1_50JPT_2019-07-06_final.stac-item
2019-07-06 11:54:42	ga_s2am_ard_3-2-1_50JNT_2019-07-06_final.stac-item
2019-07-06 11:54:45	ga_s2am_ard_3-2-1_50JMT_2019-07-06_final.stac-item
2019-07-06 11:54:49	ga_s2am_ard_3-2-1_50JLT_2019-07-06_final.stac-item
2019-07-07 11:24:24	ga_s2am_ard_3-2-1_51JZN_2019-07-07_final.stac-item
2019-07-07 11:24:24	ga_s2am_ard_3-2-1_52JBT_2019-07-07_final.stac-item
2019-07-07 11:24:28	ga_s2am_ard_3-2-1_51JYN_2019-07-07_final.stac-item
2019-07-07 11:24:31	ga_s2am_ard_3-2-1_51JXN_2019-07-07_final.stac-item
2019-07-07 11:24:34	ga_s2am_ard_3-2-1_51JWN_2019-07-07_final.stac-item
2024-05-06 12:14:44	ga_s2am_ard_3-2-1_49JGN_2024-05-06_final
2024-05-06 12:14:48	ga_s2am_ard_3-2-1_49JFN_2024-05-06_final
2024-05-10 10:14:05	ga_s2am_ard_3-2-1_54JWT_2024-05-10_final
2024-05-10 10:14:08	ga_s2am_ard_3-2-1_54JVT_2024-05-10_final
2024-05-15 11:04:14	ga_s2am_ard_3-2-1_52JGT_2024-05-15_final
2024-05-15 11:04:17	ga_s2am_ard_3-2-1_52JFT_2024-05-15_final
2024-05-15 11:04:21	ga_s2am_ard_3-2-1_52JET_2024-05-15_final
2024-05-15 11:04:24	ga_s2am_ard_3-2-1_52JDT_2024-05-15_final
2024-05-20 10:13:45	ga_s2am_ard_3-2-1_55JBN_2024-05-20_final
2024-05-20 10:13:46	ga_s2am_ard_3-2-1_54JZT_2024-05-20_final
2024-05-20 10:13:53	ga_s2am_ard_3-2-1_54JYT_2024-05-20_final
2024-05-20 10:13:57	ga_s2am_ard_3-2-1_54JXT_2024-05-20_final
2024-05-20 10:14:00	ga_s2am_ard_3-2-1_54JWT_2024-05-20_final
2024-05-20 10:14:07	ga_s2am_ard_3-2-1_54JVT_2024-05-20_final
2024-05-21 09:43:38	ga_s2am_ard_3-2-1_56JLT_2024-05-21_final
2024-05-21 09:43:41	ga_s2am_ard_3-2-1_55JHN_2024-05-21_final
2024-05-21 09:43:42	ga_s2am_ard_3-2-1_56JKT_2024-05-21_final
2024-05-21 09:43:45	ga_s2am_ard_3-2-1_55JGN_2024-05-21_final

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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