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
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51HUE_2018-04-11_final.stac-item
2019-11-12 11:36:18	ga_s2bm_ard_3-2-1_51HUE_2019-11-12_final
2021-11-01 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2021-11-01_final
2021-11-11 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2021-11-11_final
2021-11-21 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2021-11-21_final
2021-12-01 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2021-12-01_final
2021-12-11 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2021-12-11_final
2021-12-21 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2021-12-21_final
2021-12-31 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2021-12-31_final
2022-01-20 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2022-01-20_final
2022-01-30 11:34:55	ga_s2bm_ard_3-2-1_51JUL_2022-01-30_final
2022-02-09 11:34:55	ga_s2bm_ard_3-2-1_51JUL_2022-02-09_final
2022-02-19 11:34:55	ga_s2bm_ard_3-2-1_51JUL_2022-02-19_final
2022-03-01 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-03-01_final
2022-03-11 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2022-03-11_final
2022-03-21 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2022-03-21_final
2022-03-31 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-03-31_final
2022-04-10 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-04-10_final
2022-04-20 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2022-04-20_final
2022-04-30 11:34:54	ga_s2bm_ard_3-2-1_51JUL_2022-04-30_final
2022-05-10 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-05-10_final
2022-05-20 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-20_final
2022-05-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-30_final
2022-06-09 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-06-09_final
2022-06-19 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2022-06-19_final
2022-06-29 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-06-29_final
2022-07-09 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-07-09_final
2022-07-19 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-07-19_final
2022-07-29 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-07-29_final
2022-08-08 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2022-08-08_final
2022-08-18 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-08-18_final
2022-08-28 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-08-28_final
2022-09-07 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-09-07_final.stac-item
2022-09-17 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-09-17_final.stac-item
2022-09-27 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-09-27_final.stac-item
2022-10-07 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-10-07_final.stac-item
2022-10-17 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2022-10-17_final.stac-item
2022-10-27 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2022-10-27_final.stac-item
2022-11-06 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2022-11-06_final.stac-item
2022-11-16 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-11-16_final.stac-item
2022-11-26 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2022-11-26_final.stac-item
2022-12-06 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-12-06_final.stac-item
2022-12-16 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2022-12-16_final.stac-item
2022-12-26 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2022-12-26_final.stac-item
2023-01-05 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-01-05_final.stac-item
2023-01-15 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2023-01-15_final.stac-item
2023-01-25 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-01-25_final.stac-item
2023-02-04 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-02-04_final.stac-item
2023-02-14 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-02-14_final.stac-item
2023-02-24 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2023-02-24_final.stac-item
2023-03-06 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-03-06_final.stac-item
2023-03-16 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-03-16_final.stac-item
2023-03-26 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-03-26_final.stac-item
2023-04-05 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-04-05_final.stac-item
2023-04-15 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2023-04-15_final.stac-item
2023-04-22 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2023-04-22_final.stac-item
2023-04-25 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-04-25_final.stac-item
2023-05-02 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2023-05-02_final.stac-item
2023-05-05 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-05-05_final.stac-item
2023-05-15 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-05-15_final.stac-item
2023-05-25 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-05-25_final.stac-item
2023-06-04 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-06-04_final.stac-item
2023-06-14 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-06-14_final.stac-item
2023-06-24 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-06-24_final.stac-item
2023-07-04 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-07-04_final.stac-item
2023-07-14 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-07-14_final.stac-item
2023-07-24 11:35:07	ga_s2bm_ard_3-2-1_51JUL_2023-07-24_final.stac-item
2023-08-03 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-08-03_final.stac-item
2023-08-13 11:35:07	ga_s2bm_ard_3-2-1_51JUL_2023-08-13_final.stac-item
2023-08-13 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2023-08-13_final.stac-item
2023-08-23 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-08-23_final.stac-item
2023-09-02 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-09-02_final.stac-item
2023-09-02 11:36:23	ga_s2bm_ard_3-2-1_51JVF_2023-09-02_final.stac-item
2023-09-12 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-09-12_final.stac-item
2023-09-22 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-09-22_final.stac-item
2023-10-02 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-02_final.stac-item
2023-10-12 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-12_final.stac-item
2023-10-22 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-22_final.stac-item
2023-11-01 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-11-01_final.stac-item
2023-11-11 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-11-11_final.stac-item
2023-11-21 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-11-21_final.stac-item
2023-12-01 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-12-01_final.stac-item
2023-12-11 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-12-11_final.stac-item
2023-12-11 11:35:48	ga_s2bm_ard_3-2-1_51JUH_2023-12-11_final.stac-item
2023-12-21 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2023-12-21_final.stac-item
2023-12-31 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2023-12-31_final.stac-item
2024-01-10 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2024-01-10_final.stac-item
2024-01-20 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2024-01-20_final.stac-item
2024-01-30 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2024-01-30_final.stac-item
2024-02-09 11:33:27	ga_s2bm_ard_3-2-1_51KUS_2024-02-09_final.stac-item
2024-02-09 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2024-02-09_final.stac-item
2024-02-19 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2024-02-19_final.stac-item
2024-02-29 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2024-02-29_final.stac-item
2024-03-07 11:26:07	ga_s2bm_ard_3-2-1_51JUF_2024-03-07_final.stac-item
2024-03-10 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2024-03-10_final.stac-item
2024-03-20 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2024-03-20_final.stac-item
2024-03-27 11:26:11	ga_s2bm_ard_3-2-1_51JUF_2024-03-27_final.stac-item
2024-03-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2024-03-30_final.stac-item
2024-04-09 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2024-04-09_final.stac-item
2024-04-19 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2024-04-19_final.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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