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
2021-06-10 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-06-09_final.stac-item
2021-06-23 09:37:59	ga_s2am_ard_3-2-1_55GFR_2021-06-23_final.stac-item
2021-07-03 09:38:00	ga_s2am_ard_3-2-1_55GFR_2021-07-03_final.stac-item
2021-07-10 09:28:04	ga_s2am_ard_3-2-1_55GFR_2021-07-09_final.stac-item
2021-07-13 09:38:01	ga_s2am_ard_3-2-1_55GFR_2021-07-13_final.stac-item
2021-08-02 09:38:01	ga_s2am_ard_3-2-1_55GFR_2021-08-02_final.stac-item
2021-08-12 09:38:00	ga_s2am_ard_3-2-1_55GFR_2021-08-12_final.stac-item
2021-08-19 09:28:04	ga_s2am_ard_3-2-1_55GFR_2021-08-18_final.stac-item
2021-08-22 09:38:00	ga_s2am_ard_3-2-1_55GFR_2021-08-22_final.stac-item
2021-08-29 09:28:03	ga_s2am_ard_3-2-1_55GFR_2021-08-28_final.stac-item
2021-09-08 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-09-07_final.stac-item
2021-09-18 09:28:03	ga_s2am_ard_3-2-1_55GFR_2021-09-17_final.stac-item
2021-09-21 09:38:01	ga_s2am_ard_3-2-1_55GFR_2021-09-21_final.stac-item
2021-09-28 09:28:05	ga_s2am_ard_3-2-1_55GFR_2021-09-27_final.stac-item
2021-10-18 09:28:07	ga_s2am_ard_3-2-1_55GFR_2021-10-17_final.stac-item
2021-11-07 09:28:05	ga_s2am_ard_3-2-1_55GFR_2021-11-06_final.stac-item
2021-11-17 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-11-16_final.stac-item
2021-11-30 09:37:58	ga_s2am_ard_3-2-1_55GFR_2021-11-30_final.stac-item
2021-12-10 09:37:56	ga_s2am_ard_3-2-1_55GFR_2021-12-10_final.stac-item
2021-12-17 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-12-16_final.stac-item
2021-12-20 09:37:59	ga_s2am_ard_3-2-1_55GFR_2021-12-20_final.stac-item
2021-12-27 09:28:03	ga_s2am_ard_3-2-1_55GFR_2021-12-26_final.stac-item
2021-12-30 09:37:59	ga_s2am_ard_3-2-1_55GFR_2021-12-30_final.stac-item
2022-01-06 09:28:03	ga_s2am_ard_3-2-1_55GFR_2022-01-05_final.stac-item
2022-01-26 09:28:01	ga_s2am_ard_3-2-1_55GFR_2022-01-25_final.stac-item
2022-01-29 09:37:58	ga_s2am_ard_3-2-1_55GFR_2022-01-29_final.stac-item
2022-02-08 09:37:57	ga_s2am_ard_3-2-1_55GFR_2022-02-08_final.stac-item
2022-02-15 09:28:02	ga_s2am_ard_3-2-1_55GFR_2022-02-14_final.stac-item
2022-02-18 09:37:59	ga_s2am_ard_3-2-1_55GFR_2022-02-18_final.stac-item
2022-02-25 09:28:04	ga_s2am_ard_3-2-1_55GFR_2022-02-24_final.stac-item
2022-02-28 09:38:01	ga_s2am_ard_3-2-1_55GFR_2022-02-28_final.stac-item
2022-03-07 09:28:05	ga_s2am_ard_3-2-1_55GFR_2022-03-06_final.stac-item
2022-03-10 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-03-10_final.stac-item
2022-03-17 09:28:05	ga_s2am_ard_3-2-1_55GFR_2022-03-16_final.stac-item
2022-03-20 09:38:01	ga_s2am_ard_3-2-1_55GFR_2022-03-20_final.stac-item
2022-03-27 09:28:04	ga_s2am_ard_3-2-1_55GFR_2022-03-26_final.stac-item
2022-03-30 09:38:00	ga_s2am_ard_3-2-1_55GFR_2022-03-30_final.stac-item
2022-04-06 09:28:02	ga_s2am_ard_3-2-1_55GFR_2022-04-05_final.stac-item
2022-04-09 09:37:59	ga_s2am_ard_3-2-1_55GFR_2022-04-09_final.stac-item
2022-04-16 09:28:05	ga_s2am_ard_3-2-1_55GFR_2022-04-15_final.stac-item
2022-04-19 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-04-19_final.stac-item
2022-04-29 09:38:03	ga_s2am_ard_3-2-1_55GFR_2022-04-29_final.stac-item
2022-05-06 09:28:06	ga_s2am_ard_3-2-1_55GFR_2022-05-05_final.stac-item
2022-05-09 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-05-09_final.stac-item
2022-05-16 09:28:06	ga_s2am_ard_3-2-1_55GFR_2022-05-15_final.stac-item
2022-05-19 09:38:04	ga_s2am_ard_3-2-1_55GFR_2022-05-19_final.stac-item
2022-05-26 09:28:09	ga_s2am_ard_3-2-1_55GFR_2022-05-25_final.stac-item
2022-05-29 09:38:06	ga_s2am_ard_3-2-1_55GFR_2022-05-29_final.stac-item
2022-06-05 09:28:09	ga_s2am_ard_3-2-1_55GFR_2022-06-04_final.stac-item
2022-06-08 09:38:06	ga_s2am_ard_3-2-1_55GFR_2022-06-08_final.stac-item
2022-06-15 09:28:12	ga_s2am_ard_3-2-1_55GFR_2022-06-14_final.stac-item
2022-06-18 09:38:09	ga_s2am_ard_3-2-1_55GFR_2022-06-18_final.stac-item
2022-06-25 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-06-24_final.stac-item
2022-06-28 09:38:11	ga_s2am_ard_3-2-1_55GFR_2022-06-28_final.stac-item
2022-07-05 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-07-04_final.stac-item
2022-07-08 09:38:11	ga_s2am_ard_3-2-1_55GFR_2022-07-08_final.stac-item
2022-07-08 09:38:18	ga_s2am_ard_3-2-1_55GFR_2022-07-08_final.stac-item
2022-07-15 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-07-14_final.stac-item
2022-07-18 09:38:10	ga_s2am_ard_3-2-1_55GFR_2022-07-18_final.stac-item
2022-07-25 09:28:12	ga_s2am_ard_3-2-1_55GFR_2022-07-24_final.stac-item
2022-07-28 09:38:07	ga_s2am_ard_3-2-1_55GFR_2022-07-28_final.stac-item
2022-08-04 09:28:12	ga_s2am_ard_3-2-1_55GFR_2022-08-03_final.stac-item
2022-08-07 09:38:09	ga_s2am_ard_3-2-1_55GFR_2022-08-07_final.stac-item
2022-08-14 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-08-13_final.stac-item
2022-08-17 09:38:10	ga_s2am_ard_3-2-1_55GFR_2022-08-17_final.stac-item
2022-08-27 09:38:10	ga_s2am_ard_3-2-1_55GFR_2022-08-27_final.stac-item
2022-09-03 09:28:13	ga_s2am_ard_3-2-1_55GFR_2022-09-02_final.stac-item
2022-09-06 09:38:09	ga_s2am_ard_3-2-1_55GFR_2022-09-06_final.stac-item
2022-09-13 09:28:11	ga_s2am_ard_3-2-1_55GFR_2022-09-12_final.stac-item
2022-09-16 09:38:07	ga_s2am_ard_3-2-1_55GFR_2022-09-16_final.stac-item
2022-09-23 09:28:08	ga_s2am_ard_3-2-1_55GFR_2022-09-22_final.stac-item
2022-09-26 09:38:05	ga_s2am_ard_3-2-1_55GFR_2022-09-26_final.stac-item
2022-10-03 09:28:08	ga_s2am_ard_3-2-1_55GFR_2022-10-02_final.stac-item
2022-10-06 09:38:05	ga_s2am_ard_3-2-1_55GFR_2022-10-06_final.stac-item
2022-10-13 09:28:06	ga_s2am_ard_3-2-1_55GFR_2022-10-12_final.stac-item
2022-10-16 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-10-16_final.stac-item
2022-10-26 09:38:01	ga_s2am_ard_3-2-1_55GFR_2022-10-26_final.stac-item
2022-11-02 09:28:05	ga_s2am_ard_3-2-1_55GFR_2022-11-01_final.stac-item
2022-11-05 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-11-05_final.stac-item
2022-11-12 09:28:05	ga_s2am_ard_3-2-1_55GFR_2022-11-11_final.stac-item
2022-11-15 09:38:00	ga_s2am_ard_3-2-1_55GFR_2022-11-15_final.stac-item
2022-11-22 09:28:02	ga_s2am_ard_3-2-1_55GFR_2022-11-21_final.stac-item
2022-11-25 09:37:57	ga_s2am_ard_3-2-1_55GFR_2022-11-25_final.stac-item
2022-12-02 09:28:02	ga_s2am_ard_3-2-1_55GFR_2022-12-01_final.stac-item
2022-12-05 09:37:58	ga_s2am_ard_3-2-1_55GFR_2022-12-05_final.stac-item
2022-12-12 09:28:02	ga_s2am_ard_3-2-1_55GFR_2022-12-11_final.stac-item
2022-12-15 09:37:58	ga_s2am_ard_3-2-1_55GFR_2022-12-15_final.stac-item
2022-12-22 09:27:59	ga_s2am_ard_3-2-1_55GFR_2022-12-21_final.stac-item
2023-01-01 09:28:00	ga_s2am_ard_3-2-1_55GFR_2022-12-31_final.stac-item
2023-01-04 09:37:57	ga_s2am_ard_3-2-1_55GFR_2023-01-04_final.stac-item
2023-01-11 09:27:59	ga_s2am_ard_3-2-1_55GFR_2023-01-10_final.stac-item
2023-01-14 09:37:55	ga_s2am_ard_3-2-1_55GFR_2023-01-14_final.stac-item
2023-01-21 09:27:56	ga_s2am_ard_3-2-1_55GFR_2023-01-20_final.stac-item
2023-01-24 09:37:54	ga_s2am_ard_3-2-1_55GFR_2023-01-24_final.stac-item
2023-01-31 09:28:00	ga_s2am_ard_3-2-1_55GFR_2023-01-30_final.stac-item
2023-02-03 09:37:57	ga_s2am_ard_3-2-1_55GFR_2023-02-03_final.stac-item
2023-02-10 09:28:00	ga_s2am_ard_3-2-1_55GFR_2023-02-09_final.stac-item
2023-02-13 09:37:56	ga_s2am_ard_3-2-1_55GFR_2023-02-13_final
2023-08-02 09:38:03	ga_s2am_ard_3-2-1_55GFR_2023-08-02_final
2023-08-09 09:28:06	ga_s2am_ard_3-2-1_55GFR_2023-08-08_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

All years