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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_52HGK_2017-06-30_final.stac-item
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_52HGK_2017-07-20_final.stac-item
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_52HGK_2017-08-09_final.stac-item
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_52HGK_2017-09-18_final.stac-item
2017-10-08 10:42:51	ga_s2bm_ard_3-2-1_52HGK_2017-10-08_final.stac-item
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_52HGK_2017-10-28_final.stac-item
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_52HGK_2017-11-17_final.stac-item
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_52HGK_2017-11-27_final.stac-item
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_52HGK_2017-12-07_final.stac-item
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_52HGK_2017-12-17_final.stac-item
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_52HGK_2017-12-27_final.stac-item
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_52HGK_2018-01-06_final.stac-item
2018-01-16 10:42:58	ga_s2bm_ard_3-2-1_52HGK_2018-01-16_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_52HGK_2018-01-26_final.stac-item
2018-02-05 10:42:59	ga_s2bm_ard_3-2-1_52HGK_2018-02-05_final.stac-item
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52HGK_2018-02-25_final.stac-item
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_52HGK_2018-03-07_final.stac-item
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_52HGK_2018-03-17_final.stac-item
2018-03-27 10:45:51	ga_s2bm_ard_3-2-1_52HGK_2018-03-27_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_52HGK_2018-04-06_final.stac-item
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_52HGK_2018-04-16_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_52HGK_2018-04-26_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_52HGK_2018-05-06_final.stac-item
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_52HGK_2018-05-26_final.stac-item
2018-06-05 10:45:09	ga_s2bm_ard_3-2-1_52HGK_2018-06-05_final.stac-item
2018-06-15 10:45:10	ga_s2bm_ard_3-2-1_52HGK_2018-06-15_final.stac-item
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_52HGK_2018-06-25_final.stac-item
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_52HGK_2018-07-05_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_52HGK_2018-07-15_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_52HGK_2018-07-25_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_52HGK_2018-08-04_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_52HGK_2018-08-24_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_52HGK_2018-09-03_final.stac-item
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_52HGK_2018-09-13_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_52HGK_2018-09-23_final.stac-item
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_52HGK_2018-10-03_final.stac-item
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_52HGK_2018-10-13_final.stac-item
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_52HGK_2018-10-23_final.stac-item
2021-05-23 10:56:10	ga_s2bm_ard_3-2-1_52HGK_2021-05-23_final.stac-item
2021-06-02 10:56:11	ga_s2bm_ard_3-2-1_52HGK_2021-06-02_final.stac-item
2021-07-02 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2021-07-02_final.stac-item
2021-07-22 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2021-07-22_final.stac-item
2021-08-21 10:56:10	ga_s2bm_ard_3-2-1_52HGK_2021-08-21_final.stac-item
2021-09-10 10:56:07	ga_s2bm_ard_3-2-1_52HGK_2021-09-10_final.stac-item
2021-10-20 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2021-10-20_final.stac-item
2021-10-30 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2021-10-30_final.stac-item
2021-11-29 10:56:06	ga_s2bm_ard_3-2-1_52HGK_2021-11-29_final.stac-item
2021-12-09 10:56:05	ga_s2bm_ard_3-2-1_52HGK_2021-12-09_final.stac-item
2021-12-19 10:56:05	ga_s2bm_ard_3-2-1_52HGK_2021-12-19_final.stac-item
2021-12-29 10:56:06	ga_s2bm_ard_3-2-1_52HGK_2021-12-29_final.stac-item
2022-02-07 10:55:57	ga_s2bm_ard_3-2-1_52HGK_2022-02-07_final.stac-item
2022-02-07 10:56:05	ga_s2bm_ard_3-2-1_52HGK_2022-02-07_final.stac-item
2022-02-17 10:56:04	ga_s2bm_ard_3-2-1_52HGK_2022-02-17_final.stac-item
2022-02-27 10:56:06	ga_s2bm_ard_3-2-1_52HGK_2022-02-27_final.stac-item
2022-03-09 10:56:06	ga_s2bm_ard_3-2-1_53HKE_2022-03-09_final.stac-item
2022-03-09 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2022-03-09_final.stac-item
2022-03-19 10:56:06	ga_s2bm_ard_3-2-1_53HKE_2022-03-19_final.stac-item
2022-05-08 10:56:05	ga_s2bm_ard_3-2-1_53HKE_2022-05-08_final.stac-item
2022-05-18 10:56:08	ga_s2bm_ard_3-2-1_53HKE_2022-05-18_final.stac-item
2022-06-07 10:56:09	ga_s2bm_ard_3-2-1_53HKE_2022-06-07_final.stac-item
2022-06-07 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2022-06-07_final.stac-item
2022-06-17 10:56:12	ga_s2bm_ard_3-2-1_53HKE_2022-06-17_final.stac-item
2022-06-17 10:56:14	ga_s2bm_ard_3-2-1_52HGK_2022-06-17_final.stac-item
2022-06-27 10:56:13	ga_s2bm_ard_3-2-1_53HKE_2022-06-27_final.stac-item
2022-06-27 10:56:15	ga_s2bm_ard_3-2-1_52HGK_2022-06-27_final.stac-item
2022-07-07 10:56:15	ga_s2bm_ard_3-2-1_52HGK_2022-07-07_final.stac-item
2022-07-17 10:56:15	ga_s2bm_ard_3-2-1_52HGK_2022-07-17_final.stac-item
2022-07-27 10:56:15	ga_s2bm_ard_3-2-1_52HGK_2022-07-27_final.stac-item
2022-08-06 10:56:15	ga_s2bm_ard_3-2-1_52HGK_2022-08-06_final.stac-item
2022-08-16 10:56:13	ga_s2bm_ard_3-2-1_52HGK_2022-08-16_final.stac-item
2022-10-05 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2022-10-05_final.stac-item
2022-10-15 10:56:09	ga_s2bm_ard_3-2-1_52HGK_2022-10-15_final.stac-item
2022-10-25 10:56:10	ga_s2bm_ard_3-2-1_52HGK_2022-10-25_final.stac-item
2022-11-24 10:56:10	ga_s2bm_ard_3-2-1_52HGK_2022-11-24_final.stac-item
2022-12-14 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2022-12-14_final.stac-item
2023-01-03 10:56:07	ga_s2bm_ard_3-2-1_53HKE_2023-01-03_final.stac-item
2023-01-20 10:46:32	ga_s2bm_ard_3-2-1_53HKC_2023-01-20_nrt.stac-item
2023-01-30 10:46:32	ga_s2bm_ard_3-2-1_53HKC_2023-01-30_nrt.stac-item
2023-01-30 10:46:32	ga_s2bm_ard_3-2-1_52HGH_2023-01-30_nrt.stac-item
2023-02-12 10:56:07	ga_s2bm_ard_3-2-1_53HKE_2023-02-12_final.stac-item
2023-03-31 10:46:38	ga_s2bm_ard_3-2-1_53HKC_2023-03-31_nrt.stac-item
2023-03-31 10:46:38	ga_s2bm_ard_3-2-1_52HGH_2023-03-31_nrt.stac-item
2023-05-10 10:46:37	ga_s2bm_ard_3-2-1_53HKC_2023-05-10_nrt.stac-item
2023-05-10 10:46:38	ga_s2bm_ard_3-2-1_52HGH_2023-05-10_nrt.stac-item
2023-08-08 10:46:40	ga_s2bm_ard_3-2-1_53HKC_2023-08-08_nrt.stac-item
2023-08-08 10:46:41	ga_s2bm_ard_3-2-1_52HGH_2023-08-08_nrt.stac-item
2023-08-18 10:46:40	ga_s2bm_ard_3-2-1_53HKC_2023-08-18_nrt.stac-item
2023-08-18 10:46:41	ga_s2bm_ard_3-2-1_52HGH_2023-08-18_nrt.stac-item
2023-08-21 10:56:13	ga_s2bm_ard_3-2-1_53HKE_2023-08-21_final.stac-item
2023-08-31 10:56:13	ga_s2bm_ard_3-2-1_53HKE_2023-08-31_final.stac-item
2023-09-07 10:46:39	ga_s2bm_ard_3-2-1_53HKC_2023-09-07_nrt.stac-item
2023-09-07 10:46:40	ga_s2bm_ard_3-2-1_52HGH_2023-09-07_nrt.stac-item
2023-10-07 10:46:35	ga_s2bm_ard_3-2-1_53HKC_2023-10-07_nrt.stac-item
2023-10-07 10:46:36	ga_s2bm_ard_3-2-1_52HGH_2023-10-07_nrt.stac-item
2023-10-17 10:46:37	ga_s2bm_ard_3-2-1_53HKC_2023-10-17_nrt.stac-item
2023-10-17 10:46:38	ga_s2bm_ard_3-2-1_52HGH_2023-10-17_nrt.stac-item
2023-11-16 10:46:34	ga_s2bm_ard_3-2-1_53HKC_2023-11-16_nrt.stac-item
2023-11-16 10:46:35	ga_s2bm_ard_3-2-1_52HGH_2023-11-16_nrt.stac-item
2023-12-26 10:46:36	ga_s2bm_ard_3-2-1_53HKC_2023-12-26_nrt.stac-item
2023-12-26 10:46:37	ga_s2bm_ard_3-2-1_52HGH_2023-12-26_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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