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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JYG_2017-07-12_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_55JDK_2017-07-28_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2017-08-06_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JQT_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KLU_2017-09-09_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_55HCE_2017-09-26_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HWC_2017-09-30_final.stac-item
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_55JDK_2017-12-05_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55GBQ_2018-01-11_final.stac-item
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_53KPB_2018-02-28_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JQT_2018-03-18_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPG_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KLU_2018-03-28_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KLU_2018-04-07_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KLU_2018-04-17_final
2018-06-02 10:34:28	ga_s2bm_ard_3-2-1_53HLD_2018-06-02_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51JYG_2018-06-17_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JQT_2018-08-15_final
2018-08-20 09:25:52	ga_s2bm_ard_3-2-1_55HGU_2018-08-19_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_55HCE_2018-08-22_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JQT_2018-08-25_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JQT_2018-09-04_final
2018-10-11 09:57:03	ga_s2bm_ard_3-2-1_54JYR_2018-10-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMG_2018-10-14_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HLG_2018-10-21_final.stac-item
2018-12-03 10:15:55	ga_s2bm_ard_3-2-1_54HXJ_2018-12-03_final
2019-01-07 09:27:13	ga_s2bm_ard_3-2-1_55HGU_2019-01-06_final.stac-item
2019-02-20 10:40:50	ga_s2bm_ard_3-2-1_53LQF_2019-02-20_final.stac-item
2019-02-21 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2019-02-21_final
2019-02-21 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2019-02-21_final
2019-03-20 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2019-03-20_final.stac-item
2019-04-02 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2019-04-02_final
2019-04-09 10:04:27	ga_s2bm_ard_3-2-1_55JDK_2019-04-09_final
2019-05-02 11:54:56	ga_s2bm_ard_3-2-1_50JMT_2019-05-02_final
2019-05-12 11:54:31	ga_s2bm_ard_3-2-1_50JQT_2019-05-12_final
2019-06-12 11:25:52	ga_s2bm_ard_3-2-1_51JYG_2019-06-12_final
2019-06-28 10:04:32	ga_s2bm_ard_3-2-1_55JDK_2019-06-28_final
2019-08-10 11:54:30	ga_s2bm_ard_3-2-1_50JQT_2019-08-10_final
2019-08-11 11:26:54	ga_s2bm_ard_3-2-1_51HXC_2019-08-11_final.stac-item
2019-09-09 11:54:35	ga_s2bm_ard_3-2-1_50KLU_2019-09-09_final
2019-09-29 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2019-09-29_final
2019-10-09 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2019-10-09_final
2020-01-06 10:40:46	ga_s2bm_ard_3-2-1_53LQF_2020-01-06_final.stac-item
2020-01-18 09:48:17	ga_s2bm_ard_3-2-1_54GYV_2020-01-18_final.stac-item
2020-03-07 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2020-03-07_final
2020-03-07 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2020-03-07_final
2020-03-17 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2020-03-17_final
2020-03-17 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2020-03-17_final
2020-03-29 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2020-03-29_final.stac-item
2020-04-06 11:54:30	ga_s2bm_ard_3-2-1_50KLU_2020-04-06_final
2020-04-18 10:56:06	ga_s2bm_ard_3-2-1_52HGK_2020-04-18_final.stac-item
2020-06-16 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2020-06-16_final
2020-06-26 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2020-06-26_final
2020-07-06 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2020-07-06_final
2020-07-09 11:35:54	ga_s2bm_ard_3-2-1_51JTG_2020-07-09_final
2020-07-16 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2020-07-16_final
2020-08-11 10:01:46	ga_s2bm_ard_3-2-1_55KFA_2020-08-11_final
2020-08-13 10:40:54	ga_s2bm_ard_3-2-1_53LQF_2020-08-13_final.stac-item
2020-08-14 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2020-08-14_final
2020-08-24 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2020-08-24_final
2020-09-02 10:40:39	ga_s2bm_ard_3-2-1_53LQG_2020-09-02_final.stac-item
2020-09-03 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-09-03_final
2020-09-10 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-09-10_final
2020-09-13 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-09-13_final
2020-09-23 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-09-23_final
2021-01-25 09:51:12	ga_s2bm_ard_3-2-1_55LHC_2021-01-25_final.stac-item
2021-04-21 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2021-04-21_final
2021-05-06 09:27:11	ga_s2bm_ard_3-2-1_55HGU_2021-05-05_final.stac-item
2021-05-31 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-05-31_final
2021-06-07 10:04:24	ga_s2bm_ard_3-2-1_55JDK_2021-06-07_final
2021-07-10 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2021-07-10_final
2021-08-01 10:51:20	ga_s2bm_ard_3-2-1_53LPD_2021-08-01_final
2021-08-19 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2021-08-19_final
2021-09-08 10:15:59	ga_s2bm_ard_3-2-1_54HXJ_2021-09-08_final
2021-09-11 10:22:10	ga_s2bm_ard_3-2-1_54KYD_2021-09-11_final
2021-09-22 09:51:09	ga_s2bm_ard_3-2-1_55LHC_2021-09-22_final.stac-item
2021-09-28 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2021-09-28_final
2021-10-21 10:26:52	ga_s2bm_ard_3-2-1_54HUF_2021-10-21_final
2021-12-27 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2021-12-27_final
2021-12-28 11:22:13	ga_s2bm_ard_3-2-1_52KDF_2021-12-28_final
2022-01-06 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-01-06_final
2022-01-15 10:46:08	ga_s2bm_ard_3-2-1_53HKE_2022-01-15_final.stac-item
2022-02-05 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2022-02-05_final
2022-04-11 09:26:23	ga_s2bm_ard_3-2-1_56HLG_2022-04-10_final.stac-item
2022-05-06 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-05-06_final
2022-06-27 10:55:20	ga_s2bm_ard_3-2-1_53JLH_2022-06-27_final
2022-07-10 09:26:31	ga_s2bm_ard_3-2-1_56HLG_2022-07-09_final.stac-item
2022-10-03 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2022-10-03_final.stac-item
2022-11-27 09:27:13	ga_s2bm_ard_3-2-1_55HGU_2022-11-26_final.stac-item
2023-03-01 10:45:42	ga_s2bm_ard_3-2-1_53JNF_2023-03-01_final.stac-item
2023-03-21 10:45:45	ga_s2bm_ard_3-2-1_53JNF_2023-03-21_final.stac-item
2023-05-28 10:04:28	ga_s2bm_ard_3-2-1_55JDK_2023-05-28_final.stac-item
2023-07-30 10:16:05	ga_s2bm_ard_3-2-1_54HXJ_2023-07-30_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final.stac-item
2023-08-30 09:41:50	ga_s2bm_ard_3-2-1_55KHA_2023-08-30_nrt.stac-item
2023-09-09 09:41:49	ga_s2bm_ard_3-2-1_55KHA_2023-09-09_nrt.stac-item
2023-10-03 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2023-10-03_final.stac-item
2023-11-07 10:13:03	ga_s2bm_ard_3-2-1_54KYA_2023-11-07_final.stac-item
2023-11-11 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2023-11-11_final.stac-item
2024-02-29 09:52:00	ga_s2bm_ard_3-2-1_55KFV_2024-02-29_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