Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54HVC_2016-01-23_final.stac-item
2016-05-12 10:17:02	ga_s2am_ard_3-2-1_54HVC_2016-05-12_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54HVC_2016-06-21_final.stac-item
2016-09-09 10:16:54	ga_s2am_ard_3-2-1_54HVC_2016-09-09_final.stac-item
2016-09-29 10:16:55	ga_s2am_ard_3-2-1_54HVC_2016-09-29_final.stac-item
2016-10-19 10:12:09	ga_s2am_ard_3-2-1_54HVC_2016-10-19_final.stac-item
2016-12-08 10:14:03	ga_s2am_ard_3-2-1_54HVC_2016-12-08_final.stac-item
2022-04-21 10:17:42	ga_s2am_ard_3-2-1_54HVC_2022-04-21_final.stac-item
2022-05-01 10:17:43	ga_s2am_ard_3-2-1_54HVC_2022-05-01_final.stac-item
2022-06-30 10:17:47	ga_s2am_ard_3-2-1_54HVC_2022-06-30_final.stac-item
2022-07-10 10:17:51	ga_s2am_ard_3-2-1_54HVC_2022-07-10_final.stac-item
2022-08-26 10:07:42	ga_s2am_ard_3-2-1_54HVD_2022-08-26_final.stac-item
2022-11-07 10:17:42	ga_s2am_ard_3-2-1_54HVC_2022-11-07_final.stac-item
2023-01-06 10:17:37	ga_s2am_ard_3-2-1_54HVC_2023-01-06_final.stac-item
2023-01-16 10:17:34	ga_s2am_ard_3-2-1_54HVC_2023-01-16_final.stac-item
2023-01-23 10:07:43	ga_s2am_ard_3-2-1_54HUC_2023-01-23_nrt.stac-item
2023-02-02 10:07:45	ga_s2am_ard_3-2-1_54HUC_2023-02-02_nrt.stac-item
2023-02-15 10:17:35	ga_s2am_ard_3-2-1_54HVC_2023-02-15_final.stac-item
2023-02-25 10:17:35	ga_s2am_ard_3-2-1_54HVC_2023-02-25_final.stac-item
2023-03-27 10:17:36	ga_s2am_ard_3-2-1_54HVC_2023-03-27_final.stac-item
2023-04-13 10:07:47	ga_s2am_ard_3-2-1_54HUC_2023-04-13_nrt.stac-item
2023-04-16 10:17:36	ga_s2am_ard_3-2-1_54HVC_2023-04-16_final.stac-item
2023-04-23 10:07:45	ga_s2am_ard_3-2-1_54HUC_2023-04-23_nrt.stac-item
2023-05-03 10:07:46	ga_s2am_ard_3-2-1_54HUC_2023-05-03_nrt.stac-item
2023-05-13 10:07:45	ga_s2am_ard_3-2-1_54HUC_2023-05-13_nrt.stac-item
2023-05-16 10:17:38	ga_s2am_ard_3-2-1_54HVC_2023-05-16_final.stac-item
2023-05-23 10:07:50	ga_s2am_ard_3-2-1_54HUC_2023-05-23_nrt.stac-item
2023-05-26 10:17:40	ga_s2am_ard_3-2-1_54HVC_2023-05-26_final.stac-item
2023-06-02 10:07:33	ga_s2am_ard_3-2-1_54HVD_2023-06-02_final.stac-item
2023-06-05 10:17:29	ga_s2am_ard_3-2-1_54HVD_2023-06-05_final.stac-item
2023-06-12 10:07:34	ga_s2am_ard_3-2-1_54HVD_2023-06-12_final.stac-item
2023-06-12 10:07:51	ga_s2am_ard_3-2-1_54HUC_2023-06-12_nrt.stac-item
2023-06-15 10:17:30	ga_s2am_ard_3-2-1_54HVD_2023-06-15_final.stac-item
2023-06-22 10:07:33	ga_s2am_ard_3-2-1_54HVD_2023-06-22_final.stac-item
2023-06-25 10:17:29	ga_s2am_ard_3-2-1_54HVD_2023-06-25_final.stac-item
2023-06-25 10:17:40	ga_s2am_ard_3-2-1_54HVC_2023-06-25_final.stac-item
2023-07-05 10:17:31	ga_s2am_ard_3-2-1_54HVD_2023-07-05_final.stac-item
2023-07-15 10:17:30	ga_s2am_ard_3-2-1_54HVD_2023-07-15_final.stac-item
2023-07-25 10:17:30	ga_s2am_ard_3-2-1_54HVD_2023-07-25_final.stac-item
2023-08-04 10:17:31	ga_s2am_ard_3-2-1_54HVD_2023-08-04_final.stac-item
2023-08-04 10:17:42	ga_s2am_ard_3-2-1_54HVC_2023-08-04_final.stac-item
2023-08-14 10:17:31	ga_s2am_ard_3-2-1_54HVD_2023-08-14_final.stac-item
2023-08-14 10:17:42	ga_s2am_ard_3-2-1_54HVC_2023-08-14_final.stac-item
2023-08-24 10:17:32	ga_s2am_ard_3-2-1_54HVD_2023-08-24_final.stac-item
2023-08-24 10:17:43	ga_s2am_ard_3-2-1_54HVC_2023-08-24_final.stac-item
2023-09-03 10:17:31	ga_s2am_ard_3-2-1_54HVD_2023-09-03_final.stac-item
2023-09-10 10:07:52	ga_s2am_ard_3-2-1_54HUC_2023-09-10_nrt.stac-item
2023-09-13 10:17:30	ga_s2am_ard_3-2-1_54HVD_2023-09-13_final.stac-item
2023-09-20 10:07:48	ga_s2am_ard_3-2-1_54HUC_2023-09-20_nrt.stac-item
2023-09-23 10:17:27	ga_s2am_ard_3-2-1_54HVD_2023-09-23_final.stac-item
2023-10-03 10:17:27	ga_s2am_ard_3-2-1_54HVD_2023-10-03_final.stac-item
2023-10-10 10:07:46	ga_s2am_ard_3-2-1_54HUC_2023-10-10_nrt.stac-item
2023-10-13 10:17:23	ga_s2am_ard_3-2-1_54HVD_2023-10-13_final.stac-item
2023-10-23 10:17:26	ga_s2am_ard_3-2-1_54HVD_2023-10-23_final.stac-item
2023-10-23 10:17:37	ga_s2am_ard_3-2-1_54HVC_2023-10-23_final.stac-item
2023-11-02 10:17:24	ga_s2am_ard_3-2-1_54HVD_2023-11-02_final.stac-item
2023-11-02 10:17:35	ga_s2am_ard_3-2-1_54HVC_2023-11-02_final.stac-item
2023-11-09 10:07:45	ga_s2am_ard_3-2-1_54HUC_2023-11-09_nrt.stac-item
2023-11-12 10:17:25	ga_s2am_ard_3-2-1_54HVD_2023-11-12_final.stac-item
2023-11-12 10:17:36	ga_s2am_ard_3-2-1_54HVC_2023-11-12_final.stac-item
2023-11-22 10:17:22	ga_s2am_ard_3-2-1_54HVD_2023-11-22_final.stac-item
2023-11-29 10:07:39	ga_s2am_ard_3-2-1_54HUC_2023-11-29_nrt.stac-item
2023-12-02 10:17:17	ga_s2am_ard_3-2-1_54HVD_2023-12-02_final.stac-item
2023-12-02 10:17:28	ga_s2am_ard_3-2-1_54HVC_2023-12-02_final.stac-item
2023-12-12 10:17:21	ga_s2am_ard_3-2-1_54HVD_2023-12-12_final.stac-item
2023-12-19 10:07:43	ga_s2am_ard_3-2-1_54HUC_2023-12-19_nrt.stac-item
2023-12-22 10:17:22	ga_s2am_ard_3-2-1_54HVD_2023-12-22_final.stac-item
2023-12-29 10:07:44	ga_s2am_ard_3-2-1_54HUC_2023-12-29_nrt.stac-item
2024-01-01 10:17:22	ga_s2am_ard_3-2-1_54HVD_2024-01-01_final.stac-item
2024-01-01 10:17:34	ga_s2am_ard_3-2-1_54HVC_2024-01-01_final.stac-item
2024-01-08 10:07:41	ga_s2am_ard_3-2-1_54HUC_2024-01-08_nrt.stac-item
2024-01-11 10:17:20	ga_s2am_ard_3-2-1_54HVD_2024-01-11_final.stac-item
2024-01-21 10:17:18	ga_s2am_ard_3-2-1_54HVD_2024-01-21_final.stac-item
2024-01-28 10:07:40	ga_s2am_ard_3-2-1_54HUC_2024-01-28_nrt.stac-item
2024-01-31 10:17:21	ga_s2am_ard_3-2-1_54HVD_2024-01-31_final.stac-item
2024-01-31 10:17:32	ga_s2am_ard_3-2-1_54HVC_2024-01-31_final.stac-item
2024-02-07 10:07:41	ga_s2am_ard_3-2-1_54HUC_2024-02-07_nrt.stac-item
2024-02-10 10:17:22	ga_s2am_ard_3-2-1_54HVD_2024-02-10_final.stac-item
2024-02-17 10:07:43	ga_s2am_ard_3-2-1_54HUC_2024-02-17_nrt.stac-item
2024-02-20 10:17:23	ga_s2am_ard_3-2-1_54HVD_2024-02-20_final.stac-item
2024-02-20 10:17:35	ga_s2am_ard_3-2-1_54HVC_2024-02-20_final.stac-item
2024-02-27 10:07:45	ga_s2am_ard_3-2-1_54HUC_2024-02-27_nrt.stac-item
2024-03-01 10:17:25	ga_s2am_ard_3-2-1_54HVD_2024-03-01_final.stac-item
2024-03-08 10:07:46	ga_s2am_ard_3-2-1_54HUC_2024-03-08_nrt.stac-item
2024-03-11 10:17:26	ga_s2am_ard_3-2-1_54HVD_2024-03-11_final.stac-item
2024-03-18 10:07:46	ga_s2am_ard_3-2-1_54HUC_2024-03-18_nrt.stac-item
2024-03-21 10:17:27	ga_s2am_ard_3-2-1_54HVD_2024-03-21_final.stac-item
2024-03-28 10:07:46	ga_s2am_ard_3-2-1_54HUC_2024-03-28_nrt.stac-item
2024-03-31 10:17:25	ga_s2am_ard_3-2-1_54HVD_2024-03-31_final.stac-item
2024-04-10 10:17:26	ga_s2am_ard_3-2-1_54HVD_2024-04-10_final.stac-item
2024-04-10 10:17:37	ga_s2am_ard_3-2-1_54HVC_2024-04-10_final.stac-item
2024-04-13 10:25:35	ga_s2am_ard_3-2-1_54JVM_2024-04-13_final.stac-item
2024-04-17 10:07:50	ga_s2am_ard_3-2-1_54HUC_2024-04-17_nrt.stac-item
2024-04-20 10:17:29	ga_s2am_ard_3-2-1_54HVD_2024-04-20_final.stac-item
2024-04-20 10:17:40	ga_s2am_ard_3-2-1_54HVC_2024-04-20_final.stac-item
2024-04-27 10:07:48	ga_s2am_ard_3-2-1_54HUC_2024-04-27_nrt.stac-item
2024-04-30 10:17:28	ga_s2am_ard_3-2-1_54HVD_2024-04-30_final.stac-item
2024-04-30 10:17:39	ga_s2am_ard_3-2-1_54HVC_2024-04-30_final.stac-item
2024-05-10 10:17:28	ga_s2am_ard_3-2-1_54HVD_2024-05-10_final.stac-item
2024-05-20 10:17:27	ga_s2am_ard_3-2-1_54HVD_2024-05-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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