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
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HWJ_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HWK_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HXJ_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HXK_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HYJ_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HYK_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_55HBD_2017-04-14_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_55HBE_2017-04-14_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HTJ_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HUJ_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HUK_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HVJ_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HVK_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HWJ_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HWK_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HXJ_2017-04-17_final.stac-item
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54HXK_2017-04-17_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HDE_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HED_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HEE_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HFD_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HFE_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HGD_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HGE_2017-04-18_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HWJ_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HWK_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HXJ_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HXK_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HYJ_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54HYK_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55HBD_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55HBE_2017-04-24_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HKJ_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HKK_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HLJ_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HLK_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HMJ_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HMK_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HFD_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HFE_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HGD_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HGE_2017-04-25_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HTJ_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HUJ_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HUK_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HVJ_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HVK_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HWJ_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HWK_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HXJ_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HXK_2017-05-07_final.stac-item
2024-02-24 09:55:55	ga_s2am_ard_3-2-1_54HYK_2024-02-24_final
2024-02-24 09:55:59	ga_s2am_ard_3-2-1_55HDD_2024-02-24_final
2024-02-24 09:56:03	ga_s2am_ard_3-2-1_55HCD_2024-02-24_final
2024-02-24 09:56:06	ga_s2am_ard_3-2-1_55HBD_2024-02-24_final
2024-02-24 09:56:08	ga_s2am_ard_3-2-1_54HYJ_2024-02-24_final
2024-02-24 11:36:22	ga_s2am_ard_3-2-1_51HVE_2024-02-24_final
2024-02-24 11:36:27	ga_s2am_ard_3-2-1_51HUE_2024-02-24_final
2024-02-24 11:36:30	ga_s2am_ard_3-2-1_51HTE_2024-02-24_final
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_51HVD_2024-02-24_final
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_50HQK_2024-02-24_final
2024-02-24 11:36:36	ga_s2am_ard_3-2-1_50HPK_2024-02-24_final
2024-02-24 11:36:41	ga_s2am_ard_3-2-1_51HUD_2024-02-24_final
2024-02-24 11:36:45	ga_s2am_ard_3-2-1_51HTD_2024-02-24_final
2024-02-24 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2024-02-24_final
2024-02-24 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2024-02-24_final
2024-02-26 10:36:02	ga_s2am_ard_3-2-1_53HPE_2024-02-26_final
2024-02-26 10:36:06	ga_s2am_ard_3-2-1_53HNE_2024-02-26_final
2024-02-26 10:36:09	ga_s2am_ard_3-2-1_53HME_2024-02-26_final
2024-02-26 10:36:15	ga_s2am_ard_3-2-1_53HLE_2024-02-26_final
2024-02-26 10:36:16	ga_s2am_ard_3-2-1_53HPD_2024-02-26_final
2024-02-26 10:36:20	ga_s2am_ard_3-2-1_53HND_2024-02-26_final
2024-02-26 10:36:24	ga_s2am_ard_3-2-1_53HMD_2024-02-26_final
2024-02-26 10:36:27	ga_s2am_ard_3-2-1_53HLD_2024-02-26_final
2024-03-06 09:25:33	ga_s2am_ard_3-2-1_56HPK_2024-03-05_nrt
2024-03-06 09:25:37	ga_s2am_ard_3-2-1_56HNK_2024-03-05_nrt
2024-03-06 09:25:40	ga_s2am_ard_3-2-1_56HMK_2024-03-05_final
2024-03-06 09:25:43	ga_s2am_ard_3-2-1_56HLK_2024-03-05_final
2024-03-06 09:25:47	ga_s2am_ard_3-2-1_56HPJ_2024-03-05_nrt
2024-03-06 09:25:51	ga_s2am_ard_3-2-1_56HNJ_2024-03-05_nrt
2024-03-06 09:25:55	ga_s2am_ard_3-2-1_56HMJ_2024-03-05_final
2024-03-06 09:25:58	ga_s2am_ard_3-2-1_56HLJ_2024-03-05_final
2024-03-06 11:06:15	ga_s2am_ard_3-2-1_52HEK_2024-03-06_final
2024-03-06 11:06:18	ga_s2am_ard_3-2-1_52HDK_2024-03-06_final
2024-03-06 11:06:21	ga_s2am_ard_3-2-1_52HCK_2024-03-06_final
2024-03-06 11:06:24	ga_s2am_ard_3-2-1_52HBK_2024-03-06_final
2024-03-06 11:06:32	ga_s2am_ard_3-2-1_52HDJ_2024-03-06_nrt
2024-03-06 11:06:34	ga_s2am_ard_3-2-1_52HCJ_2024-03-06_nrt
2024-03-06 11:06:36	ga_s2am_ard_3-2-1_52HBJ_2024-03-06_final
2024-03-06 11:06:38	ga_s2am_ard_3-2-1_51HYD_2024-03-06_final
2024-03-19 09:35:36	ga_s2am_ard_3-2-1_56HMK_2024-03-19_final
2024-03-19 09:35:40	ga_s2am_ard_3-2-1_56HLK_2024-03-19_final
2024-03-19 09:35:43	ga_s2am_ard_3-2-1_56HKK_2024-03-19_final
2024-03-19 09:35:45	ga_s2am_ard_3-2-1_55HGE_2024-03-19_final
2024-03-19 09:35:49	ga_s2am_ard_3-2-1_56HMJ_2024-03-19_final
2024-03-19 09:35:51	ga_s2am_ard_3-2-1_55HFE_2024-03-19_final
2024-03-19 09:35:54	ga_s2am_ard_3-2-1_56HLJ_2024-03-19_final
2024-03-19 09:35:57	ga_s2am_ard_3-2-1_56HKJ_2024-03-19_final
2024-03-26 09:25:33	ga_s2am_ard_3-2-1_56HPK_2024-03-25_nrt
2024-03-26 09:25:48	ga_s2am_ard_3-2-1_56HPJ_2024-03-25_nrt

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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