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
2019-07-02 09:49:08	ga_s2bm_ard_3-2-1_55GDM_2019-07-02_final.stac-item
2019-08-31 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2019-08-31_final.stac-item
2019-09-07 09:39:02	ga_s2bm_ard_3-2-1_55GEM_2019-09-07_final.stac-item
2019-09-14 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2019-09-13_final.stac-item
2019-09-24 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2019-09-23_final.stac-item
2019-09-27 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-09-27_final.stac-item
2019-09-30 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2019-09-30_final.stac-item
2019-10-04 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2019-10-03_final.stac-item
2019-10-07 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-10-07_final.stac-item
2019-10-14 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2019-10-13_final.stac-item
2019-10-20 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2019-10-20_final.stac-item
2019-10-24 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2019-10-23_final.stac-item
2019-10-30 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2019-10-30_final.stac-item
2019-11-09 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2019-11-09_final.stac-item
2019-11-13 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2019-11-12_final.stac-item
2019-11-16 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2019-11-16_final.stac-item
2019-11-23 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2019-11-22_final.stac-item
2019-12-06 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2019-12-06_final.stac-item
2019-12-13 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2019-12-12_final.stac-item
2019-12-16 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2019-12-16_final.stac-item
2019-12-19 09:48:54	ga_s2bm_ard_3-2-1_55GDM_2019-12-19_final.stac-item
2019-12-26 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2019-12-26_final.stac-item
2020-01-15 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2020-01-15_final.stac-item
2020-02-04 09:38:53	ga_s2bm_ard_3-2-1_55GEM_2020-02-04_final.stac-item
2020-02-14 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2020-02-14_final.stac-item
2020-02-17 09:48:55	ga_s2bm_ard_3-2-1_55GDM_2020-02-17_final.stac-item
2020-02-27 09:48:55	ga_s2bm_ard_3-2-1_55GDM_2020-02-27_final.stac-item
2020-03-05 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-03-05_final.stac-item
2020-03-08 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2020-03-08_final.stac-item
2020-03-12 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2020-03-11_final.stac-item
2020-03-15 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-03-15_final.stac-item
2020-04-01 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2020-03-31_final.stac-item
2020-04-21 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2020-04-20_final.stac-item
2020-04-24 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2020-04-24_final.stac-item
2020-05-01 09:28:57	ga_s2bm_ard_3-2-1_55GEM_2020-04-30_final.stac-item
2020-05-04 09:38:56	ga_s2bm_ard_3-2-1_55GEM_2020-05-04_final.stac-item
2020-05-11 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2020-05-10_final.stac-item
2020-05-14 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2020-05-14_final.stac-item
2020-08-25 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2020-08-25_final.stac-item
2020-09-01 09:39:03	ga_s2bm_ard_3-2-1_55GEM_2020-09-01_final.stac-item
2020-09-18 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2020-09-17_final.stac-item
2020-10-08 09:29:04	ga_s2bm_ard_3-2-1_55GEM_2020-10-07_final.stac-item
2020-10-11 09:39:03	ga_s2bm_ard_3-2-1_55GEM_2020-10-11_final.stac-item
2020-10-18 09:29:04	ga_s2bm_ard_3-2-1_55GEM_2020-10-17_final.stac-item
2020-10-21 09:39:03	ga_s2bm_ard_3-2-1_55GEM_2020-10-21_final.stac-item
2020-10-28 09:29:04	ga_s2bm_ard_3-2-1_55GEM_2020-10-27_final.stac-item
2020-10-31 09:39:02	ga_s2bm_ard_3-2-1_55GEM_2020-10-31_final.stac-item
2020-11-07 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2020-11-06_final.stac-item
2020-11-10 09:39:01	ga_s2bm_ard_3-2-1_55GEM_2020-11-10_final.stac-item
2020-11-20 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2020-11-20_final.stac-item
2020-12-10 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-12-10_final.stac-item
2020-12-17 09:28:56	ga_s2bm_ard_3-2-1_55GEM_2020-12-16_final.stac-item
2021-01-12 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2021-01-12_final.stac-item
2021-01-19 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2021-01-19_final.stac-item
2021-02-05 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2021-02-04_final.stac-item
2021-02-08 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2021-02-08_final.stac-item
2021-02-21 09:48:56	ga_s2bm_ard_3-2-1_55GDM_2021-02-21_final.stac-item
2021-02-25 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2021-02-24_final.stac-item
2021-02-28 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2021-02-28_final.stac-item
2021-03-03 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2021-03-03_final.stac-item
2021-03-07 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2021-03-06_final.stac-item
2021-03-10 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2021-03-10_final.stac-item
2021-03-27 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2021-03-26_final.stac-item
2021-03-30 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2021-03-30_final.stac-item
2021-04-19 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2021-04-19_final.stac-item
2021-04-26 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2021-04-25_final.stac-item
2021-10-03 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2021-10-02_final.stac-item
2021-10-09 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2021-10-09_final.stac-item
2021-10-19 09:49:01	ga_s2bm_ard_3-2-1_55GDM_2021-10-19_final.stac-item
2021-11-08 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2021-11-08_final.stac-item
2021-12-15 09:38:53	ga_s2bm_ard_3-2-1_55GEM_2021-12-15_final.stac-item
2021-12-18 09:48:52	ga_s2bm_ard_3-2-1_55GDM_2021-12-18_final.stac-item
2021-12-22 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2021-12-21_final.stac-item
2021-12-25 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2021-12-25_final.stac-item
2022-01-01 09:28:56	ga_s2bm_ard_3-2-1_55GEM_2021-12-31_final.stac-item
2022-01-17 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2022-01-17_final.stac-item
2022-02-26 09:48:55	ga_s2bm_ard_3-2-1_55GDM_2022-02-26_final.stac-item
2022-04-01 09:28:57	ga_s2bm_ard_3-2-1_55GEM_2022-03-31_final.stac-item
2022-05-04 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2022-05-04_final.stac-item
2022-05-11 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2022-05-10_final.stac-item
2022-05-17 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2022-05-17_final.stac-item
2022-05-21 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2022-05-20_final.stac-item
2022-05-31 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2022-05-30_final.stac-item
2022-06-03 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2022-06-03_final.stac-item
2022-06-03 09:39:04	ga_s2bm_ard_3-2-1_55GCM_2022-06-03_final.stac-item
2022-06-06 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2022-06-06_final.stac-item
2022-06-16 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2022-06-16_final.stac-item
2022-06-16 09:49:05	ga_s2bm_ard_3-2-1_55GCM_2022-06-16_final.stac-item
2022-06-20 09:29:05	ga_s2bm_ard_3-2-1_55GEM_2022-06-19_final.stac-item
2022-06-26 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2022-06-26_final.stac-item
2022-07-06 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2022-07-06_final.stac-item
2022-07-20 09:29:06	ga_s2bm_ard_3-2-1_55GEM_2022-07-19_final.stac-item
2022-07-26 09:49:03	ga_s2bm_ard_3-2-1_55GDM_2022-07-26_final.stac-item
2022-08-05 09:49:02	ga_s2bm_ard_3-2-1_55GDM_2022-08-05_final.stac-item
2022-08-09 09:29:05	ga_s2bm_ard_3-2-1_55GEM_2022-08-08_final.stac-item
2022-08-19 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2022-08-18_final.stac-item
2022-08-29 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2022-08-28_final.stac-item
2022-09-04 09:49:03	ga_s2bm_ard_3-2-1_55GCM_2022-09-04_final.stac-item
2022-10-14 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2022-10-14_final.stac-item
2022-11-13 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2022-11-13_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

Other products

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