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
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KEC_2018-03-26_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KEC_2018-04-05_final
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KEC_2018-04-12_final
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KEC_2018-05-05_final
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_52KEC_2018-06-01_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEC_2018-06-11_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KEC_2018-06-14_final
2018-06-21 10:59:06	ga_s2bm_ard_3-2-1_52KEC_2018-06-21_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KEC_2018-06-24_final
2018-07-01 10:57:40	ga_s2bm_ard_3-2-1_52KEC_2018-07-01_final
2018-07-04 11:07:15	ga_s2bm_ard_3-2-1_52KEC_2018-07-04_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KEC_2018-07-04_final
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_52KEC_2018-07-11_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52KEC_2018-07-14_final
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KEC_2018-07-21_final
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52KEC_2018-07-24_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KEC_2018-07-24_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52KEC_2018-07-31_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KEC_2018-08-03_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KEC_2018-08-10_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KEC_2018-08-13_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KEC_2018-08-20_final
2018-08-23 11:07:12	ga_s2bm_ard_3-2-1_52KEC_2018-08-23_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KEC_2018-08-23_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEC_2018-08-30_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KEC_2018-09-02_final
2018-09-09 11:01:38	ga_s2bm_ard_3-2-1_52KEC_2018-09-09_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52KEC_2018-09-12_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KEC_2018-09-19_final
2018-09-22 11:07:09	ga_s2bm_ard_3-2-1_52KEC_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52KEC_2018-09-22_final
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52KEC_2018-09-29_final
2018-10-02 11:07:11	ga_s2bm_ard_3-2-1_52KEC_2018-10-02_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52KEC_2018-10-02_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KEC_2018-10-09_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KEC_2018-10-12_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KEC_2018-10-19_final
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52KEC_2018-10-22_final
2022-01-01 11:03:01	ga_s2bm_ard_3-2-1_52KEC_2022-01-01_final
2022-01-04 11:12:57	ga_s2bm_ard_3-2-1_52KEC_2022-01-04_final
2022-01-11 11:03:01	ga_s2bm_ard_3-2-1_52KEC_2022-01-11_final
2022-01-14 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2022-01-14_final
2022-01-21 11:03:00	ga_s2bm_ard_3-2-1_52KEC_2022-01-21_final
2022-01-24 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2022-01-24_final
2022-01-31 11:02:59	ga_s2bm_ard_3-2-1_52KEC_2022-01-31_final
2022-02-03 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2022-02-03_final
2022-02-10 11:02:59	ga_s2bm_ard_3-2-1_52KEC_2022-02-10_final
2022-02-13 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2022-02-13_final
2022-02-20 11:02:59	ga_s2bm_ard_3-2-1_52KEC_2022-02-20_final
2022-02-23 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2022-02-23_final
2022-03-02 11:03:02	ga_s2bm_ard_3-2-1_52KEC_2022-03-02_final
2022-03-05 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2022-03-05_final
2022-03-12 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2022-03-12_final
2022-03-15 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2022-03-15_final
2022-03-22 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2022-03-22_final
2022-03-25 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2022-03-25_final
2022-04-01 11:03:01	ga_s2bm_ard_3-2-1_52KEC_2022-04-01_final
2022-04-04 11:12:57	ga_s2bm_ard_3-2-1_52KEC_2022-04-04_final
2022-04-11 11:03:02	ga_s2bm_ard_3-2-1_52KEC_2022-04-11_final
2022-04-14 11:12:57	ga_s2bm_ard_3-2-1_52KEC_2022-04-14_final
2022-04-21 11:03:00	ga_s2bm_ard_3-2-1_52KEC_2022-04-21_final
2022-04-24 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2022-04-24_final
2022-05-01 11:02:59	ga_s2bm_ard_3-2-1_52KEC_2022-05-01_final
2022-05-04 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2022-05-04_final
2022-05-11 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2022-05-11_final
2022-05-14 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2022-05-14_final
2022-05-21 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2022-05-21_final
2022-05-24 11:13:01	ga_s2bm_ard_3-2-1_52KEC_2022-05-24_final
2022-05-31 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2022-05-31_final
2022-06-03 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2022-06-03_final
2022-06-10 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2022-06-10_final
2022-06-13 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2022-06-13_final
2022-06-20 11:03:09	ga_s2bm_ard_3-2-1_52KEC_2022-06-20_final
2022-06-23 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2022-06-23_final
2022-06-30 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2022-06-30_final
2022-07-03 11:13:06	ga_s2bm_ard_3-2-1_52KEC_2022-07-03_final
2022-07-10 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2022-07-10_final
2022-07-13 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2022-07-13_final
2022-07-20 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2022-07-20_final
2022-07-23 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2022-07-23_final
2022-07-30 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2022-07-30_final
2022-08-02 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2022-08-02_final
2022-08-09 11:03:09	ga_s2bm_ard_3-2-1_52KEC_2022-08-09_final
2022-08-12 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2022-08-12_final
2022-08-19 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2022-08-19_final
2022-08-22 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2022-08-22_final
2022-08-29 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2022-08-29_final
2023-01-23 10:56:23	ga_s2bm_ard_3-2-1_52HEJ_2023-01-23_nrt.stac-item
2023-02-12 10:56:23	ga_s2bm_ard_3-2-1_52HEJ_2023-02-12_nrt.stac-item
2023-02-22 10:56:25	ga_s2bm_ard_3-2-1_52HEJ_2023-02-22_nrt.stac-item
2023-04-13 10:56:26	ga_s2bm_ard_3-2-1_52HEJ_2023-04-13_nrt.stac-item
2023-06-12 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-06-12_nrt.stac-item
2023-07-12 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-07-12_nrt.stac-item
2023-08-01 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-08-01_nrt.stac-item
2023-09-03 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2023-09-03_final.stac-item
2023-09-10 10:56:28	ga_s2bm_ard_3-2-1_52HEJ_2023-09-10_nrt.stac-item
2023-09-20 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-09-20_nrt.stac-item
2023-10-30 10:56:26	ga_s2bm_ard_3-2-1_52HEJ_2023-10-30_nrt.stac-item
2023-12-19 10:56:26	ga_s2bm_ard_3-2-1_52HEJ_2023-12-19_nrt.stac-item
2024-01-28 10:56:24	ga_s2bm_ard_3-2-1_52HEJ_2024-01-28_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

All years