Search ga_s2bm_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
2021-06-29 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-06-29_final
2021-07-06 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-07-06_final
2021-07-09 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-09_final
2021-07-16 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_2021-07-16_final
2021-07-19 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-19_final
2021-07-26 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_2021-07-26_final
2021-07-29 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-29_final
2021-08-05 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-08-05_final
2021-08-08 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-08-08_final
2021-08-15 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2021-08-15_final
2021-08-18 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2021-08-18_final
2021-08-25 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2021-08-25_final
2021-08-28 10:45:02	ga_s2bm_ard_3-2-1_53JNJ_2021-08-28_final
2021-09-04 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-09-04_final
2021-09-07 10:45:01	ga_s2bm_ard_3-2-1_53JNJ_2021-09-07_final
2021-09-14 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-09-14_final
2021-09-17 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-09-17_final
2021-09-24 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2021-09-24_final
2021-09-27 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-09-27_final
2021-10-04 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2021-10-04_final
2021-10-07 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-10-07_final
2021-10-14 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-10-14_final
2021-10-17 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-10-17_final
2021-10-24 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-10-24_final
2021-10-27 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-10-27_final
2021-11-03 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-11-03_final
2021-11-06 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-11-06_final
2021-11-13 10:35:08	ga_s2bm_ard_3-2-1_53JNJ_2021-11-13_final
2021-11-16 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-11-16_final
2021-11-23 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-11-23_final
2021-11-26 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-11-26_final
2021-12-03 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2021-12-03_final
2021-12-06 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2021-12-06_final
2021-12-13 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2021-12-13_final
2021-12-16 10:44:58	ga_s2bm_ard_3-2-1_53JNJ_2021-12-16_final
2021-12-23 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2021-12-23_final
2021-12-26 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-12-26_final
2022-01-02 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2022-01-02_final
2022-01-05 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2022-01-05_final
2022-01-12 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2022-01-12_final
2022-01-15 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2022-01-15_final
2022-01-22 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2022-01-22_final
2022-01-25 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2022-01-25_final
2022-02-01 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-01_final
2022-02-04 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2022-02-04_final
2022-02-11 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-11_final
2022-02-14 10:44:56	ga_s2bm_ard_3-2-1_53JNJ_2022-02-14_final
2022-02-21 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-21_final
2023-09-09 11:25:35	ga_s2bm_ard_3-2-1_51JVJ_2023-09-09_final.stac-item
2023-09-12 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-09-12_final.stac-item
2023-09-19 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2023-09-19_final.stac-item
2023-09-22 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2023-09-22_final.stac-item
2023-09-29 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-09-29_final.stac-item
2023-10-02 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-10-02_final.stac-item
2023-10-09 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2023-10-09_final.stac-item
2023-10-12 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-10-12_final.stac-item
2023-10-19 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-10-19_final.stac-item
2023-10-22 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-10-22_final.stac-item
2023-10-29 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-10-29_final.stac-item
2023-11-01 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2023-11-01_final.stac-item
2023-11-08 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-11-08_final.stac-item
2023-11-11 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-11-11_final.stac-item
2023-11-18 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-11-18_final.stac-item
2023-11-21 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2023-11-21_final.stac-item
2023-11-23 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2023-11-23_final.stac-item
2023-11-26 10:44:55	ga_s2bm_ard_3-2-1_53JNJ_2023-11-26_final.stac-item
2023-11-28 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-11-28_final.stac-item
2023-12-01 11:35:18	ga_s2bm_ard_3-2-1_51JVJ_2023-12-01_final.stac-item
2023-12-01 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2023-12-01_final.stac-item
2023-12-08 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-12-08_final.stac-item
2023-12-11 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2023-12-11_final.stac-item
2023-12-18 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2023-12-18_final.stac-item
2024-01-05 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2024-01-05_final.stac-item
2024-01-12 10:35:04	ga_s2bm_ard_3-2-1_53JPJ_2024-01-12_final.stac-item
2024-01-12 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2024-01-12_final.stac-item
2024-01-15 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2024-01-15_final.stac-item
2024-01-15 10:45:06	ga_s2bm_ard_3-2-1_53JMJ_2024-01-15_final.stac-item
2024-01-22 10:35:08	ga_s2bm_ard_3-2-1_53JNJ_2024-01-22_final.stac-item
2024-01-25 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2024-01-25_final.stac-item
2024-02-01 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2024-02-01_final.stac-item
2024-02-04 10:45:02	ga_s2bm_ard_3-2-1_53JNJ_2024-02-04_final.stac-item
2024-02-11 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-02-11_final.stac-item
2024-02-14 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2024-02-14_final.stac-item
2024-02-21 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-02-21_final.stac-item
2024-02-24 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2024-02-24_final.stac-item
2024-03-02 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2024-03-02_final.stac-item
2024-03-05 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2024-03-05_final.stac-item
2024-03-12 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2024-03-12_final.stac-item
2024-03-15 10:45:02	ga_s2bm_ard_3-2-1_53JNJ_2024-03-15_final.stac-item
2024-03-22 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-03-22_final.stac-item
2024-03-25 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2024-03-25_final.stac-item
2024-04-01 10:35:08	ga_s2bm_ard_3-2-1_53JNJ_2024-04-01_final.stac-item
2024-04-04 10:45:02	ga_s2bm_ard_3-2-1_53JNJ_2024-04-04_final.stac-item
2024-04-11 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-04-11_final.stac-item
2024-04-14 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2024-04-14_final.stac-item
2024-04-21 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-04-21_final.stac-item
2024-04-24 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2024-04-24_final.stac-item
2024-05-01 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-05-01_final.stac-item
2024-05-04 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2024-05-04_final.stac-item
2024-05-11 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2024-05-11_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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