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
2019-09-05 09:41:41	ga_s2am_ard_3-2-1_56KLF_2019-09-05_final.stac-item
2019-09-25 09:41:42	ga_s2am_ard_3-2-1_56KLF_2019-09-25_final.stac-item
2019-10-05 09:41:44	ga_s2am_ard_3-2-1_56KLF_2019-10-05_final.stac-item
2019-11-14 09:41:43	ga_s2am_ard_3-2-1_56KLF_2019-11-14_final.stac-item
2020-01-23 09:41:35	ga_s2am_ard_3-2-1_56KLF_2020-01-23_final.stac-item
2020-02-02 09:41:34	ga_s2am_ard_3-2-1_56KLF_2020-02-02_final.stac-item
2020-02-12 09:41:34	ga_s2am_ard_3-2-1_56KLF_2020-02-12_final.stac-item
2020-03-03 09:41:37	ga_s2am_ard_3-2-1_56KLF_2020-03-03_final.stac-item
2020-03-13 09:41:38	ga_s2am_ard_3-2-1_56KLF_2020-03-13_final.stac-item
2020-03-23 09:41:38	ga_s2am_ard_3-2-1_56KLF_2020-03-23_final.stac-item
2020-06-01 09:41:48	ga_s2am_ard_3-2-1_56KLF_2020-06-01_final.stac-item
2020-06-11 09:41:48	ga_s2am_ard_3-2-1_56KLF_2020-06-11_final.stac-item
2020-06-21 09:41:47	ga_s2am_ard_3-2-1_56KLF_2020-06-21_final.stac-item
2020-07-01 09:41:46	ga_s2am_ard_3-2-1_56KLF_2020-07-01_final.stac-item
2020-08-10 09:41:47	ga_s2am_ard_3-2-1_56KLF_2020-08-10_final.stac-item
2020-09-19 09:41:46	ga_s2am_ard_3-2-1_56KLF_2020-09-19_final.stac-item
2020-10-09 09:41:47	ga_s2am_ard_3-2-1_56KLF_2020-10-09_final.stac-item
2020-11-08 09:41:46	ga_s2am_ard_3-2-1_56KLF_2020-11-08_final.stac-item
2020-12-08 09:41:39	ga_s2am_ard_3-2-1_56KLF_2020-12-08_final.stac-item
2020-12-18 09:41:39	ga_s2am_ard_3-2-1_56KLF_2020-12-18_final.stac-item
2020-12-28 09:41:41	ga_s2am_ard_3-2-1_56KLF_2020-12-28_final.stac-item
2021-01-07 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-01-07_final.stac-item
2021-01-17 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-01-17_final.stac-item
2021-01-27 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-01-27_final.stac-item
2021-02-06 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-02-06_final.stac-item
2021-02-16 09:41:40	ga_s2am_ard_3-2-1_56KLF_2021-02-16_final.stac-item
2021-02-26 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-02-26_final.stac-item
2021-03-08 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-03-08_final.stac-item
2021-03-18 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-03-18_final.stac-item
2021-03-28 09:41:39	ga_s2am_ard_3-2-1_56KLF_2021-03-28_final.stac-item
2021-04-07 09:41:37	ga_s2am_ard_3-2-1_56KLF_2021-04-07_final.stac-item
2021-04-17 09:41:36	ga_s2am_ard_3-2-1_56KLF_2021-04-17_final.stac-item
2021-04-27 09:41:38	ga_s2am_ard_3-2-1_56KLF_2021-04-27_final.stac-item
2021-05-07 09:41:40	ga_s2am_ard_3-2-1_56KLF_2021-05-07_final.stac-item
2021-05-17 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-05-17_final.stac-item
2021-05-27 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-05-27_final.stac-item
2021-06-06 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-06-06_final.stac-item
2021-06-16 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-06-16_final.stac-item
2021-06-26 09:41:43	ga_s2am_ard_3-2-1_56KLF_2021-06-26_final.stac-item
2021-07-06 09:41:44	ga_s2am_ard_3-2-1_56KLF_2021-07-06_final.stac-item
2021-07-16 09:41:45	ga_s2am_ard_3-2-1_56KLF_2021-07-16_final.stac-item
2021-07-26 09:41:45	ga_s2am_ard_3-2-1_56KLF_2021-07-26_final.stac-item
2021-08-05 09:41:44	ga_s2am_ard_3-2-1_56KLF_2021-08-05_final.stac-item
2021-08-15 09:41:44	ga_s2am_ard_3-2-1_56KLF_2021-08-15_final.stac-item
2021-08-25 09:41:43	ga_s2am_ard_3-2-1_56KLF_2021-08-25_final.stac-item
2021-09-04 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-09-04_final.stac-item
2021-09-14 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-09-14_final.stac-item
2021-09-24 09:41:45	ga_s2am_ard_3-2-1_56KLF_2021-09-24_final.stac-item
2021-10-04 09:41:46	ga_s2am_ard_3-2-1_56KLF_2021-10-04_final.stac-item
2021-10-14 09:41:47	ga_s2am_ard_3-2-1_56KLF_2021-10-14_final.stac-item
2021-10-24 09:41:47	ga_s2am_ard_3-2-1_56KLF_2021-10-24_final.stac-item
2021-11-03 09:41:45	ga_s2am_ard_3-2-1_56KLF_2021-11-03_final.stac-item
2021-11-13 09:41:43	ga_s2am_ard_3-2-1_56KLF_2021-11-13_final.stac-item
2021-11-23 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-11-23_final.stac-item
2021-12-03 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-12-03_final.stac-item
2021-12-13 09:41:41	ga_s2am_ard_3-2-1_56KLF_2021-12-13_final.stac-item
2021-12-23 09:41:43	ga_s2am_ard_3-2-1_56KLF_2021-12-23_final.stac-item
2022-01-02 09:41:43	ga_s2am_ard_3-2-1_56KLF_2022-01-02_final.stac-item
2022-01-12 09:41:42	ga_s2am_ard_3-2-1_56KLF_2022-01-12_final.stac-item
2022-01-22 09:41:41	ga_s2am_ard_3-2-1_56KLF_2022-01-22_final.stac-item
2022-02-01 09:41:41	ga_s2am_ard_3-2-1_56KLF_2022-02-01_final.stac-item
2022-02-11 09:41:40	ga_s2am_ard_3-2-1_56KLF_2022-02-11_final.stac-item
2022-02-21 09:41:43	ga_s2am_ard_3-2-1_56KLF_2022-02-21_final.stac-item
2022-03-03 09:41:45	ga_s2am_ard_3-2-1_56KLF_2022-03-03_final.stac-item
2022-03-13 09:41:45	ga_s2am_ard_3-2-1_56KLF_2022-03-13_final.stac-item
2022-03-23 09:41:44	ga_s2am_ard_3-2-1_56KLF_2022-03-23_final.stac-item
2022-04-02 09:41:43	ga_s2am_ard_3-2-1_56KLF_2022-04-02_final.stac-item
2022-04-12 09:41:44	ga_s2am_ard_3-2-1_56KLF_2022-04-12_final.stac-item
2022-04-22 09:41:46	ga_s2am_ard_3-2-1_56KLF_2022-04-22_final.stac-item
2022-05-02 09:41:46	ga_s2am_ard_3-2-1_56KLF_2022-05-02_final.stac-item
2022-05-12 09:41:45	ga_s2am_ard_3-2-1_56KLF_2022-05-12_final.stac-item
2022-05-22 09:41:48	ga_s2am_ard_3-2-1_56KLF_2022-05-22_final.stac-item
2022-06-01 09:41:49	ga_s2am_ard_3-2-1_56KLF_2022-06-01_final.stac-item
2022-06-11 09:41:51	ga_s2am_ard_3-2-1_56KLF_2022-06-11_final.stac-item
2022-06-21 09:41:53	ga_s2am_ard_3-2-1_56KLF_2022-06-21_final.stac-item
2022-07-01 09:41:54	ga_s2am_ard_3-2-1_56KLF_2022-07-01_final.stac-item
2022-07-11 09:41:54	ga_s2am_ard_3-2-1_56KLF_2022-07-11_final.stac-item
2022-07-21 09:41:52	ga_s2am_ard_3-2-1_56KLF_2022-07-21_final.stac-item
2022-07-21 09:41:59	ga_s2am_ard_3-2-1_56KLF_2022-07-21_final.stac-item
2022-07-31 09:41:51	ga_s2am_ard_3-2-1_56KLF_2022-07-31_final.stac-item
2022-08-10 09:41:53	ga_s2am_ard_3-2-1_56KLF_2022-08-10_final.stac-item
2022-08-20 09:41:54	ga_s2am_ard_3-2-1_56KLF_2022-08-20_final.stac-item
2022-08-30 09:41:54	ga_s2am_ard_3-2-1_56KLF_2022-08-30_final.stac-item
2022-09-09 09:41:52	ga_s2am_ard_3-2-1_56KLF_2022-09-09_final.stac-item
2022-09-19 09:41:50	ga_s2am_ard_3-2-1_56KLF_2022-09-19_final.stac-item
2022-09-29 09:41:49	ga_s2am_ard_3-2-1_56KLF_2022-09-29_final.stac-item
2022-10-09 09:41:48	ga_s2am_ard_3-2-1_56KLF_2022-10-09_final.stac-item
2022-10-19 09:41:44	ga_s2am_ard_3-2-1_56KLF_2022-10-19_final.stac-item
2022-10-29 09:41:45	ga_s2am_ard_3-2-1_56KLF_2022-10-29_final.stac-item
2022-11-18 09:41:43	ga_s2am_ard_3-2-1_56KLF_2022-11-18_final.stac-item
2022-11-28 09:41:41	ga_s2am_ard_3-2-1_56KLF_2022-11-28_final.stac-item
2022-12-08 09:41:42	ga_s2am_ard_3-2-1_56KLF_2022-12-08_final.stac-item
2022-12-18 09:41:40	ga_s2am_ard_3-2-1_56KLF_2022-12-18_final.stac-item
2022-12-28 09:41:40	ga_s2am_ard_3-2-1_56KLF_2022-12-28_final.stac-item
2023-01-07 09:41:40	ga_s2am_ard_3-2-1_56KLF_2023-01-07_final.stac-item
2023-01-17 09:41:37	ga_s2am_ard_3-2-1_56KLF_2023-01-17_final.stac-item
2023-01-27 09:41:39	ga_s2am_ard_3-2-1_56KLF_2023-01-27_final.stac-item
2023-02-06 09:41:40	ga_s2am_ard_3-2-1_56KLF_2023-02-06_final
2023-02-16 09:41:38	ga_s2am_ard_3-2-1_56KLF_2023-02-16_nrt.stac-item
2023-08-05 09:41:46	ga_s2am_ard_3-2-1_56KLF_2023-08-05_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