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
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_52JGT_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_52JHT_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_53KKP_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_53KLP_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_53KMP_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_52KGU_2017-06-18_final.stac-item
2017-06-18 10:52:16	ga_s2am_ard_3-2-1_52KHU_2017-06-18_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KDU_2017-07-21_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KEU_2017-07-21_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KFU_2017-07-21_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KGU_2017-07-21_final.stac-item
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53KLP_2017-07-25_final.stac-item
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53KMP_2017-07-25_final.stac-item
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53KNP_2017-07-25_final.stac-item
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53KPP_2017-07-25_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55KDP_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55KEP_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55KFP_2017-08-09_final.stac-item
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55KGP_2017-08-09_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_54KTU_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_54KUU_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53JQN_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53JRN_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53KPP_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53KQP_2017-08-11_final.stac-item
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53KRP_2017-08-11_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54JYT_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54JZT_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54KYU_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54KZU_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_55KBP_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_55KCP_2017-08-22_final.stac-item
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_55KDP_2017-08-22_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 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-10-14_final.stac-item
2020-10-14 10:34:05	ga_s2am_ard_3-2-1_53JRN_2020-10-14_final.stac-item
2020-10-14 10:34:09	ga_s2am_ard_3-2-1_53JQN_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 10:03:37	ga_s2am_ard_3-2-1_55KDP_2020-10-15_final.stac-item
2020-10-15 10:03:41	ga_s2am_ard_3-2-1_55KCP_2020-10-15_final.stac-item
2020-10-15 10:03:44	ga_s2am_ard_3-2-1_55KBP_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
2020-10-15 10:03:58	ga_s2am_ard_3-2-1_54JZT_2020-10-15_final.stac-item
2020-10-15 10:04:02	ga_s2am_ard_3-2-1_54JYT_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 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-10-24_final.stac-item
2020-10-24 10:34:05	ga_s2am_ard_3-2-1_53JRN_2020-10-24_final.stac-item
2020-10-24 10:34:09	ga_s2am_ard_3-2-1_53JQN_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 10:03:37	ga_s2am_ard_3-2-1_55KDP_2020-10-25_final.stac-item
2020-10-25 10:03:40	ga_s2am_ard_3-2-1_55KCP_2020-10-25_final.stac-item
2020-10-25 10:03:43	ga_s2am_ard_3-2-1_55KBP_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
2020-10-25 10:03:58	ga_s2am_ard_3-2-1_54JZT_2020-10-25_final.stac-item
2020-10-25 10:04:01	ga_s2am_ard_3-2-1_54JYT_2020-10-25_final.stac-item
2020-11-03 10:33:46	ga_s2am_ard_3-2-1_54KUU_2020-11-03_final.stac-item
2020-11-03 10:33:50	ga_s2am_ard_3-2-1_54KTU_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
2020-11-03 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-11-03_final.stac-item
2020-11-03 10:34:04	ga_s2am_ard_3-2-1_53JRN_2020-11-03_final.stac-item
2020-11-03 10:34:09	ga_s2am_ard_3-2-1_53JQN_2020-11-03_final.stac-item
2020-11-09 10:54:16	ga_s2am_ard_3-2-1_52JHT_2020-11-09_final.stac-item
2020-11-09 10:54:20	ga_s2am_ard_3-2-1_52JGT_2020-11-09_final.stac-item
2020-11-14 11:44:16	ga_s2am_ard_3-2-1_51KUP_2020-11-14_final.stac-item
2020-11-14 11:44:20	ga_s2am_ard_3-2-1_50KRU_2020-11-14_final.stac-item
2020-11-14 11:44:20	ga_s2am_ard_3-2-1_51KTP_2020-11-14_final.stac-item
2020-11-14 11:44:23	ga_s2am_ard_3-2-1_50KQU_2020-11-14_final.stac-item
2020-11-14 11:44:27	ga_s2am_ard_3-2-1_50KPU_2020-11-14_final.stac-item
2020-11-14 11:44:34	ga_s2am_ard_3-2-1_50JRT_2020-11-14_final.stac-item
2020-11-19 10:53:52	ga_s2am_ard_3-2-1_53KMP_2020-11-19_final.stac-item
2020-11-19 10:53:56	ga_s2am_ard_3-2-1_53KLP_2020-11-19_final.stac-item
2020-11-19 10:54:00	ga_s2am_ard_3-2-1_53KKP_2020-11-19_final.stac-item
2020-11-19 10:54:00	ga_s2am_ard_3-2-1_52KHU_2020-11-19_final.stac-item
2020-11-19 10:54:03	ga_s2am_ard_3-2-1_52KGU_2020-11-19_final.stac-item
2020-11-19 10:54:14	ga_s2am_ard_3-2-1_52JHT_2020-11-19_final.stac-item
2020-11-19 10:54:18	ga_s2am_ard_3-2-1_52JGT_2020-11-19_final.stac-item
2020-11-27 11:54:14	ga_s2am_ard_3-2-1_50KQU_2020-11-27_final.stac-item
2020-11-27 11:54:20	ga_s2am_ard_3-2-1_50KPU_2020-11-27_final.stac-item
2020-12-04 10:03:30	ga_s2am_ard_3-2-1_55KDP_2020-12-04_final.stac-item
2020-12-04 10:03:34	ga_s2am_ard_3-2-1_55KCP_2020-12-04_final.stac-item
2020-12-04 10:03:37	ga_s2am_ard_3-2-1_55KBP_2020-12-04_final.stac-item
2020-12-04 10:03:37	ga_s2am_ard_3-2-1_54KZU_2020-12-04_final.stac-item
2020-12-04 10:03:41	ga_s2am_ard_3-2-1_54KYU_2020-12-04_final.stac-item
2020-12-04 10:03:51	ga_s2am_ard_3-2-1_54JZT_2020-12-04_final.stac-item
2020-12-04 10:03:55	ga_s2am_ard_3-2-1_54JYT_2020-12-04_final.stac-item
2020-12-06 10:43:46	ga_s2am_ard_3-2-1_53KPP_2020-12-06_final.stac-item
2020-12-06 10:43:50	ga_s2am_ard_3-2-1_53KNP_2020-12-06_final.stac-item
2020-12-06 10:43:53	ga_s2am_ard_3-2-1_53KMP_2020-12-06_final.stac-item
2020-12-06 10:43:56	ga_s2am_ard_3-2-1_53KLP_2020-12-06_final.stac-item
2020-12-09 10:53:46	ga_s2am_ard_3-2-1_53KMP_2020-12-09_final.stac-item
2020-12-09 10:53:51	ga_s2am_ard_3-2-1_53KLP_2020-12-09_final.stac-item
2020-12-09 10:53:54	ga_s2am_ard_3-2-1_53KKP_2020-12-09_final.stac-item
2020-12-09 10:53:54	ga_s2am_ard_3-2-1_52KHU_2020-12-09_final.stac-item
2020-12-09 10:53:58	ga_s2am_ard_3-2-1_52KGU_2020-12-09_final.stac-item
2020-12-09 10:54:09	ga_s2am_ard_3-2-1_52JHT_2020-12-09_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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