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:

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First 100 results (query limit)

Time (local)	Label
2022-11-04 10:50:18	ga_s2bm_ard_3-2-1_53LPH_2022-11-04_final.stac-item
2022-11-14 10:50:20	ga_s2bm_ard_3-2-1_53LPH_2022-11-14_final.stac-item
2022-11-21 10:42:53	ga_s2bm_ard_3-2-1_53KPT_2022-11-21_final.stac-item
2022-11-24 10:50:20	ga_s2bm_ard_3-2-1_53LPH_2022-11-24_final.stac-item
2022-12-01 10:43:16	ga_s2bm_ard_3-2-1_53KPR_2022-12-01_final.stac-item
2022-12-04 10:50:18	ga_s2bm_ard_3-2-1_53LPH_2022-12-04_final.stac-item
2022-12-15 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2022-12-15_nrt.stac-item
2022-12-18 10:37:07	ga_s2bm_ard_3-2-1_53HNV_2022-12-18_nrt.stac-item
2022-12-25 10:27:16	ga_s2bm_ard_3-2-1_53HNV_2022-12-25_nrt.stac-item
2022-12-28 10:37:08	ga_s2bm_ard_3-2-1_53HNV_2022-12-28_nrt.stac-item
2023-01-04 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2023-01-04_nrt.stac-item
2023-01-14 10:27:13	ga_s2bm_ard_3-2-1_53HNV_2023-01-14_nrt.stac-item
2023-01-20 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2023-01-20_final.stac-item
2023-01-24 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2023-01-24_nrt.stac-item
2023-02-03 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2023-02-03_nrt.stac-item
2023-02-13 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2023-02-13_nrt.stac-item
2023-02-19 10:42:54	ga_s2bm_ard_3-2-1_53KPT_2023-02-19_final.stac-item
2023-02-23 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-02-23_nrt.stac-item
2023-03-05 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-03-05_nrt.stac-item
2023-03-08 10:37:12	ga_s2bm_ard_3-2-1_53HNV_2023-03-08_nrt.stac-item
2023-03-11 10:42:59	ga_s2bm_ard_3-2-1_53KPT_2023-03-11_final.stac-item
2023-03-15 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-03-15_nrt.stac-item
2023-03-18 10:37:13	ga_s2bm_ard_3-2-1_53HNV_2023-03-18_nrt.stac-item
2023-03-21 10:42:58	ga_s2bm_ard_3-2-1_53KPT_2023-03-21_final.stac-item
2023-03-25 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-03-25_nrt.stac-item
2023-04-04 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-04-04_nrt.stac-item
2023-04-10 10:42:57	ga_s2bm_ard_3-2-1_53KPT_2023-04-10_final.stac-item
2023-04-14 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-04-14_nrt.stac-item
2023-04-20 10:42:57	ga_s2bm_ard_3-2-1_53KPT_2023-04-20_final.stac-item
2023-04-24 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-04-24_nrt.stac-item
2023-04-27 10:37:10	ga_s2bm_ard_3-2-1_53HNV_2023-04-27_nrt.stac-item
2023-04-30 10:42:57	ga_s2bm_ard_3-2-1_53KPT_2023-04-30_final.stac-item
2023-05-04 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-05-04_nrt.stac-item
2023-05-14 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-05-14_nrt.stac-item
2023-05-20 10:42:59	ga_s2bm_ard_3-2-1_53KPT_2023-05-20_final.stac-item
2023-05-24 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-05-24_nrt.stac-item
2023-05-30 10:43:00	ga_s2bm_ard_3-2-1_53KPT_2023-05-30_final.stac-item
2023-06-03 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-06-03_nrt.stac-item
2023-06-13 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-06-13_nrt.stac-item
2023-06-19 10:42:59	ga_s2bm_ard_3-2-1_53KPT_2023-06-19_final.stac-item
2023-06-23 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-06-23_nrt.stac-item
2023-06-29 10:43:01	ga_s2bm_ard_3-2-1_53KPT_2023-06-29_final.stac-item
2023-07-03 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-07-03_nrt.stac-item
2023-07-09 10:43:01	ga_s2bm_ard_3-2-1_53KPT_2023-07-09_final.stac-item
2023-07-13 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-07-13_nrt.stac-item
2023-07-19 10:42:58	ga_s2bm_ard_3-2-1_53KPT_2023-07-19_final.stac-item
2023-07-23 10:27:22	ga_s2bm_ard_3-2-1_53HNV_2023-07-23_nrt.stac-item
2023-07-29 10:42:58	ga_s2bm_ard_3-2-1_53KPT_2023-07-29_final.stac-item
2023-08-02 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-08-02_nrt.stac-item
2023-08-12 10:27:23	ga_s2bm_ard_3-2-1_53HNV_2023-08-12_nrt.stac-item
2023-08-22 10:27:22	ga_s2bm_ard_3-2-1_53HNV_2023-08-22_nrt.stac-item
2023-08-25 10:36:19	ga_s2bm_ard_3-2-1_53HPD_2023-08-25_final.stac-item
2023-09-01 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-09-01_nrt.stac-item
2023-09-11 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-09-11_nrt.stac-item
2023-09-21 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-09-21_nrt.stac-item
2023-10-01 10:27:18	ga_s2bm_ard_3-2-1_53HNV_2023-10-01_nrt.stac-item
2023-10-07 10:42:56	ga_s2bm_ard_3-2-1_53KPT_2023-10-07_final.stac-item
2023-10-11 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-10-11_nrt.stac-item
2023-10-21 10:27:18	ga_s2bm_ard_3-2-1_53HNV_2023-10-21_nrt.stac-item
2023-10-31 10:27:18	ga_s2bm_ard_3-2-1_53HNV_2023-10-31_nrt.stac-item
2023-11-10 10:27:18	ga_s2bm_ard_3-2-1_53HNV_2023-11-10_nrt.stac-item
2023-11-20 10:27:13	ga_s2bm_ard_3-2-1_53HNV_2023-11-20_nrt.stac-item
2023-11-30 10:27:13	ga_s2bm_ard_3-2-1_53HNV_2023-11-30_nrt.stac-item
2023-12-10 10:27:12	ga_s2bm_ard_3-2-1_53HNV_2023-12-10_nrt.stac-item
2023-12-20 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2023-12-20_final.stac-item
2023-12-20 10:27:16	ga_s2bm_ard_3-2-1_53HNV_2023-12-20_nrt.stac-item
2023-12-30 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2023-12-30_final.stac-item
2023-12-30 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2023-12-30_final.stac-item
2023-12-30 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-12-30_nrt.stac-item
2024-01-09 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2024-01-09_nrt.stac-item
2024-01-19 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2024-01-19_nrt.stac-item
2024-01-22 10:34:19	ga_s2bm_ard_3-2-1_53JNM_2024-01-22_final.stac-item
2024-01-29 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2024-01-29_nrt.stac-item
2024-02-08 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2024-02-08_nrt.stac-item
2024-02-18 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2024-02-18_nrt.stac-item
2024-02-28 10:27:07	ga_s2bm_ard_3-2-1_53HNA_2024-02-28_nrt.stac-item
2024-02-28 10:27:16	ga_s2bm_ard_3-2-1_53HNV_2024-02-28_nrt.stac-item
2024-03-05 10:42:48	ga_s2bm_ard_3-2-1_53KPT_2024-03-05_final.stac-item
2024-03-09 10:27:03	ga_s2bm_ard_3-2-1_53HNA_2024-03-09_nrt.stac-item
2024-03-09 10:27:11	ga_s2bm_ard_3-2-1_53HNV_2024-03-09_nrt.stac-item
2024-03-19 10:27:08	ga_s2bm_ard_3-2-1_53HNA_2024-03-19_nrt.stac-item
2024-03-19 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2024-03-19_nrt.stac-item
2024-03-25 10:42:55	ga_s2bm_ard_3-2-1_53KPT_2024-03-25_final.stac-item
2024-03-29 10:27:08	ga_s2bm_ard_3-2-1_53HNA_2024-03-29_nrt.stac-item
2024-03-29 10:27:16	ga_s2bm_ard_3-2-1_53HNV_2024-03-29_nrt.stac-item
2024-04-08 10:27:08	ga_s2bm_ard_3-2-1_53HNA_2024-04-08_nrt.stac-item
2024-04-08 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2024-04-08_nrt.stac-item
2024-04-18 10:27:10	ga_s2bm_ard_3-2-1_53HNA_2024-04-18_nrt.stac-item
2024-04-18 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2024-04-18_nrt.stac-item
2024-04-24 10:42:55	ga_s2bm_ard_3-2-1_53KPT_2024-04-24_final.stac-item
2024-04-28 10:27:08	ga_s2bm_ard_3-2-1_53HNA_2024-04-28_nrt.stac-item
2024-04-28 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2024-04-28_nrt.stac-item
2024-05-08 10:27:09	ga_s2bm_ard_3-2-1_53HNA_2024-05-08_nrt.stac-item
2024-05-08 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2024-05-08_nrt.stac-item
2024-05-14 10:42:55	ga_s2bm_ard_3-2-1_53KPT_2024-05-14_final.stac-item
2024-05-18 10:27:07	ga_s2bm_ard_3-2-1_53HNA_2024-05-18_nrt.stac-item
2024-05-18 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2024-05-18_nrt.stac-item
2024-05-28 10:27:08	ga_s2bm_ard_3-2-1_53HNA_2024-05-28_nrt.stac-item
2024-05-28 10:27:16	ga_s2bm_ard_3-2-1_53HNV_2024-05-28_nrt.stac-item
2024-06-07 10:27:11	ga_s2bm_ard_3-2-1_53HNA_2024-06-07_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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