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
2019-06-27 09:47:48	ga_s2am_ard_3-2-1_55HES_2019-06-27_final.stac-item
2019-06-27 09:47:52	ga_s2am_ard_3-2-1_55HDS_2019-06-27_final.stac-item
2019-06-27 09:47:55	ga_s2am_ard_3-2-1_55HCS_2019-06-27_final.stac-item
2019-06-27 09:47:58	ga_s2am_ard_3-2-1_55HBS_2019-06-27_final.stac-item
2019-06-27 09:47:59	ga_s2am_ard_3-2-1_54HYB_2019-06-27_final.stac-item
2019-06-30 09:57:52	ga_s2am_ard_3-2-1_55HCS_2019-06-30_final.stac-item
2019-06-30 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-06-30_final.stac-item
2019-06-30 09:57:55	ga_s2am_ard_3-2-1_54HYB_2019-06-30_final.stac-item
2019-06-30 09:58:09	ga_s2am_ard_3-2-1_55GBR_2019-06-30_final.stac-item
2019-06-30 09:58:10	ga_s2am_ard_3-2-1_54GYA_2019-06-30_final.stac-item
2019-07-01 09:28:06	ga_s2am_ard_3-2-1_55GFR_2019-06-30_final.stac-item
2019-07-07 09:47:48	ga_s2am_ard_3-2-1_55HES_2019-07-07_final.stac-item
2019-07-07 09:47:52	ga_s2am_ard_3-2-1_55HDS_2019-07-07_final.stac-item
2019-07-07 09:47:56	ga_s2am_ard_3-2-1_55HCS_2019-07-07_final.stac-item
2019-07-07 09:47:59	ga_s2am_ard_3-2-1_55HBS_2019-07-07_final.stac-item
2019-07-07 09:48:00	ga_s2am_ard_3-2-1_54HYB_2019-07-07_final.stac-item
2019-07-07 09:48:14	ga_s2am_ard_3-2-1_55GBR_2019-07-07_final.stac-item
2019-07-10 09:57:52	ga_s2am_ard_3-2-1_55HCS_2019-07-10_final.stac-item
2019-07-10 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-07-10_final.stac-item
2019-07-10 09:57:56	ga_s2am_ard_3-2-1_54HYB_2019-07-10_final.stac-item
2019-07-10 09:58:10	ga_s2am_ard_3-2-1_55GBR_2019-07-10_final.stac-item
2019-07-10 09:58:10	ga_s2am_ard_3-2-1_54GYA_2019-07-10_final.stac-item
2019-07-14 09:37:52	ga_s2am_ard_3-2-1_55HES_2019-07-14_final.stac-item
2019-07-14 09:37:56	ga_s2am_ard_3-2-1_55HDS_2019-07-14_final.stac-item
2019-07-14 09:38:03	ga_s2am_ard_3-2-1_55GFR_2019-07-14_final.stac-item
2020-01-13 09:47:38	ga_s2am_ard_3-2-1_55HES_2020-01-13_final.stac-item
2020-01-13 09:47:41	ga_s2am_ard_3-2-1_55HDS_2020-01-13_final.stac-item
2020-01-13 09:47:45	ga_s2am_ard_3-2-1_55HCS_2020-01-13_final.stac-item
2020-01-13 09:47:48	ga_s2am_ard_3-2-1_55HBS_2020-01-13_final.stac-item
2020-01-13 09:47:49	ga_s2am_ard_3-2-1_54HYB_2020-01-13_final.stac-item
2020-01-13 09:48:03	ga_s2am_ard_3-2-1_55GBR_2020-01-13_final.stac-item
2020-01-13 09:48:03	ga_s2am_ard_3-2-1_54GYA_2020-01-13_final.stac-item
2020-01-23 09:47:41	ga_s2am_ard_3-2-1_55HDS_2020-01-23_final.stac-item
2020-01-23 09:47:44	ga_s2am_ard_3-2-1_55HCS_2020-01-23_final.stac-item
2020-01-23 09:47:47	ga_s2am_ard_3-2-1_55HBS_2020-01-23_final.stac-item
2020-01-23 09:47:48	ga_s2am_ard_3-2-1_54HYB_2020-01-23_final.stac-item
2020-01-23 09:48:02	ga_s2am_ard_3-2-1_55GBR_2020-01-23_final.stac-item
2020-01-23 09:48:02	ga_s2am_ard_3-2-1_54GYA_2020-01-23_final.stac-item
2020-03-23 09:47:40	ga_s2am_ard_3-2-1_55HES_2020-03-23_final.stac-item
2020-03-23 09:47:43	ga_s2am_ard_3-2-1_55HDS_2020-03-23_final.stac-item
2020-03-23 09:47:47	ga_s2am_ard_3-2-1_55HCS_2020-03-23_final.stac-item
2020-03-23 09:47:50	ga_s2am_ard_3-2-1_55HBS_2020-03-23_final.stac-item
2020-03-23 09:47:51	ga_s2am_ard_3-2-1_54HYB_2020-03-23_final.stac-item
2020-03-23 09:48:05	ga_s2am_ard_3-2-1_55GBR_2020-03-23_final.stac-item
2020-03-23 09:48:05	ga_s2am_ard_3-2-1_54GYA_2020-03-23_final.stac-item
2020-07-31 09:47:49	ga_s2am_ard_3-2-1_55HES_2020-07-31_final.stac-item
2020-07-31 09:47:53	ga_s2am_ard_3-2-1_55HDS_2020-07-31_final.stac-item
2020-07-31 09:47:56	ga_s2am_ard_3-2-1_55HCS_2020-07-31_final.stac-item
2020-07-31 09:47:59	ga_s2am_ard_3-2-1_55HBS_2020-07-31_final.stac-item
2020-07-31 09:48:01	ga_s2am_ard_3-2-1_54HYB_2020-07-31_final.stac-item
2020-07-31 09:48:14	ga_s2am_ard_3-2-1_55GBR_2020-07-31_final.stac-item
2020-07-31 09:48:14	ga_s2am_ard_3-2-1_54GYA_2020-07-31_final.stac-item
2020-08-03 09:57:53	ga_s2am_ard_3-2-1_55HCS_2020-08-03_final.stac-item
2020-08-03 09:57:56	ga_s2am_ard_3-2-1_55HBS_2020-08-03_final.stac-item
2020-08-03 09:57:57	ga_s2am_ard_3-2-1_54HYB_2020-08-03_final.stac-item
2020-08-03 09:58:11	ga_s2am_ard_3-2-1_55GBR_2020-08-03_final.stac-item
2020-08-03 09:58:11	ga_s2am_ard_3-2-1_54GYA_2020-08-03_final.stac-item
2020-08-13 09:57:53	ga_s2am_ard_3-2-1_55HCS_2020-08-13_final.stac-item
2020-08-13 09:57:56	ga_s2am_ard_3-2-1_55HBS_2020-08-13_final.stac-item
2020-08-13 09:57:57	ga_s2am_ard_3-2-1_54HYB_2020-08-13_final.stac-item
2020-08-13 09:58:11	ga_s2am_ard_3-2-1_55GBR_2020-08-13_final.stac-item
2020-08-13 09:58:11	ga_s2am_ard_3-2-1_54GYA_2020-08-13_final.stac-item
2020-08-14 09:27:55	ga_s2am_ard_3-2-1_55HFS_2020-08-13_final
2020-08-14 09:28:07	ga_s2am_ard_3-2-1_55GFR_2020-08-13_final.stac-item
2020-08-17 09:37:49	ga_s2am_ard_3-2-1_55HFS_2020-08-17_final
2020-08-17 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-08-17_final.stac-item
2020-08-17 09:37:57	ga_s2am_ard_3-2-1_55HDS_2020-08-17_final.stac-item
2020-08-17 09:38:04	ga_s2am_ard_3-2-1_55GFR_2020-08-17_final.stac-item
2020-08-20 09:47:49	ga_s2am_ard_3-2-1_55HES_2020-08-20_final.stac-item
2020-08-20 09:47:53	ga_s2am_ard_3-2-1_55HDS_2020-08-20_final.stac-item
2020-08-20 09:47:56	ga_s2am_ard_3-2-1_55HCS_2020-08-20_final.stac-item
2020-08-20 09:47:59	ga_s2am_ard_3-2-1_55HBS_2020-08-20_final.stac-item
2020-08-20 09:48:01	ga_s2am_ard_3-2-1_54HYB_2020-08-20_final.stac-item
2020-08-20 09:48:14	ga_s2am_ard_3-2-1_55GBR_2020-08-20_final.stac-item
2020-08-20 09:48:14	ga_s2am_ard_3-2-1_54GYA_2020-08-20_final.stac-item
2021-01-21 09:27:50	ga_s2am_ard_3-2-1_55HFS_2021-01-20_final
2021-01-21 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-01-20_final.stac-item
2021-01-24 09:37:44	ga_s2am_ard_3-2-1_55HFS_2021-01-24_final
2021-01-24 09:37:48	ga_s2am_ard_3-2-1_55HES_2021-01-24_final.stac-item
2021-01-24 09:37:52	ga_s2am_ard_3-2-1_55HDS_2021-01-24_final.stac-item
2021-01-24 09:37:58	ga_s2am_ard_3-2-1_55GFR_2021-01-24_final.stac-item
2021-10-11 09:37:49	ga_s2am_ard_3-2-1_55HFS_2021-10-11_final
2021-10-11 09:37:53	ga_s2am_ard_3-2-1_55HES_2021-10-11_final.stac-item
2021-10-11 09:37:56	ga_s2am_ard_3-2-1_55HDS_2021-10-11_final.stac-item
2021-10-11 09:38:03	ga_s2am_ard_3-2-1_55GFR_2021-10-11_final.stac-item
2021-10-21 09:37:49	ga_s2am_ard_3-2-1_55HFS_2021-10-21_final
2021-10-21 09:37:53	ga_s2am_ard_3-2-1_55HES_2021-10-21_final.stac-item
2021-10-21 09:37:57	ga_s2am_ard_3-2-1_55HDS_2021-10-21_final.stac-item
2021-10-21 09:38:03	ga_s2am_ard_3-2-1_55GFR_2021-10-21_final.stac-item
2022-04-29 09:37:49	ga_s2am_ard_3-2-1_55HFS_2022-04-29_final
2022-04-29 09:37:52	ga_s2am_ard_3-2-1_55HES_2022-04-29_final.stac-item
2022-04-29 09:37:56	ga_s2am_ard_3-2-1_55HDS_2022-04-29_final.stac-item
2022-04-29 09:38:03	ga_s2am_ard_3-2-1_55GFR_2022-04-29_final.stac-item
2023-10-28 09:27:35	ga_s2am_ard_3-2-1_56HMB_2023-10-27_nrt
2023-10-28 09:27:39	ga_s2am_ard_3-2-1_56HLB_2023-10-27_nrt
2023-10-28 09:27:42	ga_s2am_ard_3-2-1_56HKB_2023-10-27_nrt
2023-10-28 09:27:43	ga_s2am_ard_3-2-1_55HGS_2023-10-27_nrt
2023-10-28 09:27:49	ga_s2am_ard_3-2-1_55HFS_2023-10-27_final
2023-10-28 09:27:57	ga_s2am_ard_3-2-1_56GKA_2023-10-27_nrt
2023-10-28 09:27:57	ga_s2am_ard_3-2-1_55GGR_2023-10-27_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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