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
2018-11-30 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2018-11-30_final
2018-12-07 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2018-12-07_final
2018-12-10 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2018-12-10_final
2018-12-20 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2018-12-20_final
2018-12-30 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2018-12-30_final
2019-01-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-01-16_final
2019-01-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-01-19_final
2019-01-29 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-01-29_final
2019-02-15 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-02-15_final
2019-03-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final
2019-03-30 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-30_final
2019-04-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2019-04-09_final
2019-04-16 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2019-04-16_final
2019-04-26 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-04-26_final
2019-05-16 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-16_final
2019-05-19 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final
2019-05-29 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2019-05-29_final
2019-05-29 11:47:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-29_final
2019-06-05 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-06-05_final
2019-06-08 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-08_final
2019-06-15 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-06-15_final
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final
2019-06-25 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-06-25_final
2019-06-28 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-28_final
2023-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-05-08_final.stac-item
2023-05-15 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-05-15_final.stac-item
2023-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-05-18_final.stac-item
2023-05-25 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-05-25_final.stac-item
2023-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-05-28_final.stac-item
2023-06-04 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-04_final.stac-item
2023-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-07_final.stac-item
2023-06-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-06-14_final.stac-item
2023-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-17_final.stac-item
2023-06-24 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-24_final.stac-item
2023-06-27 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-27_final.stac-item
2023-07-04 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-04_final.stac-item
2023-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-07-07_final.stac-item
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final.stac-item
2023-07-17 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-07-17_final.stac-item
2023-07-24 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2023-07-24_final.stac-item
2023-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2023-07-27_final.stac-item
2023-08-03 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-08-03_final.stac-item
2023-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-06_final.stac-item
2023-08-13 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-08-13_final.stac-item
2023-08-16 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-16_final.stac-item
2023-08-23 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-08-23_final.stac-item
2023-08-26 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-08-26_final.stac-item
2023-09-02 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-09-02_final.stac-item
2023-09-05 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-09-05_final.stac-item
2023-09-12 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-12_final.stac-item
2023-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-15_final.stac-item
2023-09-22 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-22_final.stac-item
2023-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-25_final.stac-item
2023-10-02 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-02_final.stac-item
2023-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-10-05_final.stac-item
2023-10-12 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-10-12_final.stac-item
2023-10-15 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-10-15_final.stac-item
2023-10-22 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-22_final.stac-item
2023-10-25 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-10-25_final.stac-item
2023-11-01 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-11-01_final.stac-item
2023-11-04 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-11-04_final.stac-item
2023-11-11 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-11-11_final.stac-item
2023-11-14 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-11-14_final.stac-item
2023-11-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2023-11-24_final.stac-item
2023-12-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-12-04_final.stac-item
2023-12-14 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-12-14_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2023-12-24 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-12-24_final.stac-item
2023-12-31 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-31_final.stac-item
2024-01-03 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-01-03_final.stac-item
2024-01-10 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2024-01-10_final.stac-item
2024-01-13 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2024-01-13_final.stac-item
2024-01-20 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-01-20_final.stac-item
2024-01-23 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2024-01-23_final.stac-item
2024-02-02 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-02-02_final.stac-item
2024-02-09 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-02-09_final.stac-item
2024-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2024-02-12_final.stac-item
2024-02-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2024-02-19_final.stac-item
2024-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-02-22_final.stac-item
2024-03-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-03_final.stac-item
2024-03-13 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-13_final.stac-item
2024-03-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-03-20_final.stac-item
2024-03-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-03-23_final.stac-item
2024-03-30 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-03-30_final.stac-item
2024-04-02 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2024-04-02_final.stac-item
2024-04-09 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-09_final.stac-item
2024-04-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-04-12_final.stac-item
2024-04-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2024-04-19_final.stac-item
2024-04-22 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-04-22_final.stac-item
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_final.stac-item
2024-05-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-02_final.stac-item
2024-05-09 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2024-05-09_final.stac-item
2024-05-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-12_final.stac-item
2024-05-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2024-05-22_final.stac-item
2024-05-29 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-05-29_nrt.stac-item
2024-06-01 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-06-01_final.stac-item
2024-06-01 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2024-06-01_final.stac-item
2024-06-08 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2024-06-08_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

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