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
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_53LKC_2016-04-27_final.stac-item
2016-09-08 10:45:18	ga_s2am_ard_3-2-1_53JKH_2016-09-08_final.stac-item
2020-03-11 10:45:54	ga_s2am_ard_3-2-1_53JKF_2020-03-11_final
2020-03-14 10:55:50	ga_s2am_ard_3-2-1_53JKF_2020-03-14_final
2020-03-21 10:45:54	ga_s2am_ard_3-2-1_53JKF_2020-03-21_final
2020-03-24 10:55:50	ga_s2am_ard_3-2-1_53JKF_2020-03-24_final
2020-03-31 10:45:54	ga_s2am_ard_3-2-1_53JKF_2020-03-31_final
2020-04-03 10:55:50	ga_s2am_ard_3-2-1_53JKF_2020-04-03_final
2020-04-10 10:45:56	ga_s2am_ard_3-2-1_53JKF_2020-04-10_final
2020-04-13 10:55:53	ga_s2am_ard_3-2-1_53JKF_2020-04-13_final
2020-04-20 10:45:59	ga_s2am_ard_3-2-1_53JKF_2020-04-20_final
2020-04-23 10:55:55	ga_s2am_ard_3-2-1_53JKF_2020-04-23_final
2020-04-30 10:46:01	ga_s2am_ard_3-2-1_53JKF_2020-04-30_final
2020-05-03 10:55:57	ga_s2am_ard_3-2-1_53JKF_2020-05-03_final
2020-05-10 10:46:02	ga_s2am_ard_3-2-1_53JKF_2020-05-10_final
2020-05-13 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-05-13_final
2020-05-20 10:46:03	ga_s2am_ard_3-2-1_53JKF_2020-05-20_final
2020-05-23 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-05-23_final
2020-05-30 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-05-30_final
2020-06-02 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-06-02_final
2020-06-09 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-06-09_final
2020-06-12 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-06-12_final
2020-06-19 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-06-19_final
2020-06-22 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-06-22_final
2020-06-29 10:46:03	ga_s2am_ard_3-2-1_53JKF_2020-06-29_final
2020-07-02 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-07-02_final
2020-07-09 10:46:02	ga_s2am_ard_3-2-1_53JKF_2020-07-09_final
2020-07-12 10:55:58	ga_s2am_ard_3-2-1_53JKF_2020-07-12_final
2020-07-22 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-07-22_final
2020-07-29 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-07-29_final
2020-08-01 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-08-01_final
2020-08-08 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-08-08_final
2020-08-11 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-08-11_final
2020-08-18 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-08-18_final
2020-08-21 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-08-21_final
2020-08-28 10:46:03	ga_s2am_ard_3-2-1_53JKF_2020-08-28_final
2022-12-16 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2022-12-16_nrt.stac-item
2022-12-26 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2022-12-26_nrt.stac-item
2023-01-05 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-01-05_nrt.stac-item
2023-01-15 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2023-01-15_nrt.stac-item
2023-01-25 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2023-01-25_nrt.stac-item
2023-02-04 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-02-04_nrt.stac-item
2023-02-14 10:46:26	ga_s2am_ard_3-2-1_52HGJ_2023-02-14_nrt.stac-item
2023-02-24 10:46:26	ga_s2am_ard_3-2-1_52HGJ_2023-02-24_nrt.stac-item
2023-03-06 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2023-03-06_nrt.stac-item
2023-03-16 10:46:26	ga_s2am_ard_3-2-1_52HGJ_2023-03-16_nrt.stac-item
2023-03-26 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-03-26_nrt.stac-item
2023-04-05 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2023-04-05_nrt.stac-item
2023-04-15 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-04-15_nrt.stac-item
2023-04-25 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-04-25_nrt.stac-item
2023-05-05 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2023-05-05_nrt.stac-item
2023-05-15 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2023-05-15_nrt.stac-item
2023-05-25 10:46:31	ga_s2am_ard_3-2-1_52HGJ_2023-05-25_nrt.stac-item
2023-06-04 10:46:31	ga_s2am_ard_3-2-1_52HGJ_2023-06-04_nrt.stac-item
2023-06-14 10:46:33	ga_s2am_ard_3-2-1_52HGJ_2023-06-14_nrt.stac-item
2023-06-24 10:46:32	ga_s2am_ard_3-2-1_52HGJ_2023-06-24_nrt.stac-item
2023-07-04 10:46:32	ga_s2am_ard_3-2-1_52HGJ_2023-07-04_nrt.stac-item
2023-07-10 11:01:52	ga_s2am_ard_3-2-1_53LKC_2023-07-10_final.stac-item
2023-07-10 11:01:53	ga_s2am_ard_3-2-1_52LHH_2023-07-10_final.stac-item
2023-07-14 10:45:57	ga_s2am_ard_3-2-1_53JKF_2023-07-14_final.stac-item
2023-07-17 10:55:58	ga_s2am_ard_3-2-1_53JKF_2023-07-17_final.stac-item
2023-07-27 10:55:59	ga_s2am_ard_3-2-1_53JKF_2023-07-27_final.stac-item
2023-08-06 10:55:59	ga_s2am_ard_3-2-1_53JKF_2023-08-06_final.stac-item
2023-08-16 10:56:00	ga_s2am_ard_3-2-1_53JKF_2023-08-16_final.stac-item
2023-08-26 10:56:00	ga_s2am_ard_3-2-1_53JKF_2023-08-26_final.stac-item
2023-09-25 10:55:56	ga_s2am_ard_3-2-1_53JKF_2023-09-25_final.stac-item
2023-10-05 10:55:55	ga_s2am_ard_3-2-1_53JKF_2023-10-05_final.stac-item
2023-10-12 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2023-10-12_nrt.stac-item
2023-10-22 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-10-22_nrt.stac-item
2023-11-01 10:46:26	ga_s2am_ard_3-2-1_52HGJ_2023-11-01_nrt.stac-item
2023-11-11 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2023-11-11_nrt.stac-item
2023-11-14 10:55:49	ga_s2am_ard_3-2-1_53JKF_2023-11-14_final.stac-item
2023-11-21 10:46:24	ga_s2am_ard_3-2-1_52HGJ_2023-11-21_nrt.stac-item
2023-11-24 10:55:49	ga_s2am_ard_3-2-1_53JKF_2023-11-24_final.stac-item
2023-12-01 10:46:19	ga_s2am_ard_3-2-1_52HGJ_2023-12-01_nrt.stac-item
2023-12-11 10:46:22	ga_s2am_ard_3-2-1_52HGJ_2023-12-11_nrt.stac-item
2023-12-14 10:55:50	ga_s2am_ard_3-2-1_53JKF_2023-12-14_final.stac-item
2023-12-21 10:45:49	ga_s2am_ard_3-2-1_53JKF_2023-12-21_final.stac-item
2024-01-10 10:45:30	ga_s2am_ard_3-2-1_53JKH_2024-01-10_final.stac-item
2024-01-13 10:55:48	ga_s2am_ard_3-2-1_53JKF_2024-01-13_final.stac-item
2024-01-23 10:55:47	ga_s2am_ard_3-2-1_53JKF_2024-01-23_final.stac-item
2024-02-19 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2024-02-19_nrt.stac-item
2024-02-29 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2024-02-29_nrt.stac-item
2024-03-10 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2024-03-10_nrt.stac-item
2024-03-20 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2024-03-20_nrt.stac-item
2024-03-23 10:55:55	ga_s2am_ard_3-2-1_53JKF_2024-03-23_final.stac-item
2024-03-30 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2024-03-30_nrt.stac-item
2024-04-02 10:55:52	ga_s2am_ard_3-2-1_53JKF_2024-04-02_final.stac-item
2024-04-09 10:46:27	ga_s2am_ard_3-2-1_52HGJ_2024-04-09_interim.stac-item
2024-04-12 10:55:55	ga_s2am_ard_3-2-1_53JKF_2024-04-12_final.stac-item
2024-04-19 10:46:31	ga_s2am_ard_3-2-1_52HGJ_2024-04-19_nrt.stac-item
2024-04-22 10:55:57	ga_s2am_ard_3-2-1_53JKF_2024-04-22_final.stac-item
2024-04-29 10:46:30	ga_s2am_ard_3-2-1_52HGJ_2024-04-29_nrt.stac-item
2024-05-02 10:55:57	ga_s2am_ard_3-2-1_53JKF_2024-05-02_final.stac-item
2024-05-19 10:46:29	ga_s2am_ard_3-2-1_52HGJ_2024-05-19_nrt.stac-item
2024-05-29 10:46:29	ga_s2am_ard_3-2-1_52HGJ_2024-05-29_nrt.stac-item
2024-06-01 10:55:57	ga_s2am_ard_3-2-1_53JKF_2024-06-01_nrt.stac-item
2024-06-01 10:56:05	ga_s2am_ard_3-2-1_53JKF_2024-06-01_nrt.stac-item
2024-06-08 10:46:32	ga_s2am_ard_3-2-1_53HKD_2024-06-08_nrt.stac-item
2024-06-08 10:46:33	ga_s2am_ard_3-2-1_52HGJ_2024-06-08_nrt.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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