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
2017-09-13 09:50:56	ga_s2bm_ard_3-2-1_55JEM_2017-09-13_final
2017-09-23 09:51:21	ga_s2bm_ard_3-2-1_55KER_2017-09-23_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_55JGH_2018-09-15_final
2018-12-20 10:03:16	ga_s2bm_ard_3-2-1_55KCQ_2018-12-20_final
2019-01-13 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2019-01-13_final
2019-02-12 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2019-02-12_final
2019-03-04 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2019-03-04_final
2019-05-09 10:02:56	ga_s2bm_ard_3-2-1_55KDS_2019-05-09_final
2019-06-18 10:02:56	ga_s2bm_ard_3-2-1_55KDS_2019-06-18_final
2019-06-21 10:12:14	ga_s2bm_ard_3-2-1_55KBV_2019-06-21_final
2019-07-12 09:45:09	ga_s2bm_ard_3-2-1_55JFH_2019-07-12_final
2019-07-22 09:45:09	ga_s2bm_ard_3-2-1_55JFH_2019-07-22_final
2019-09-10 09:44:58	ga_s2bm_ard_3-2-1_55JGH_2019-09-10_final
2019-09-10 09:45:16	ga_s2bm_ard_3-2-1_55JFG_2019-09-10_final
2019-11-12 09:54:01	ga_s2bm_ard_3-2-1_55JEM_2019-11-12_final
2019-11-19 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2019-11-19_final
2019-12-05 10:03:32	ga_s2bm_ard_3-2-1_55KBP_2019-12-05_final
2019-12-12 09:53:42	ga_s2bm_ard_3-2-1_55JEN_2019-12-12_final
2019-12-15 10:03:15	ga_s2bm_ard_3-2-1_55KCQ_2019-12-15_final
2020-04-23 10:02:57	ga_s2bm_ard_3-2-1_55KDR_2020-04-23_final
2020-06-02 10:02:50	ga_s2bm_ard_3-2-1_55KDS_2020-06-02_final
2020-06-09 09:54:33	ga_s2bm_ard_3-2-1_55JEK_2020-06-09_final
2020-08-25 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2020-08-25_final.stac-item
2020-09-30 10:03:41	ga_s2bm_ard_3-2-1_55KBP_2020-09-30_final
2020-11-26 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2020-11-26_final
2021-04-25 09:54:26	ga_s2bm_ard_3-2-1_55JEK_2021-04-25_final
2021-08-15 10:30:59	ga_s2bm_ard_3-2-1_54LVK_2021-08-15_final.stac-item
2021-09-12 09:54:27	ga_s2bm_ard_3-2-1_55JEK_2021-09-12_final
2021-09-15 10:02:59	ga_s2bm_ard_3-2-1_55KDR_2021-09-15_final
2022-01-30 09:54:25	ga_s2bm_ard_3-2-1_55JEK_2022-01-30_final
2022-03-21 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2022-03-21_final
2022-08-08 09:54:35	ga_s2bm_ard_3-2-1_55JEK_2022-08-08_final
2022-12-22 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2022-12-22_nrt.stac-item
2023-02-07 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2023-02-07_final.stac-item
2023-02-08 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2023-02-08_final.stac-item
2023-02-08 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2023-02-08_final.stac-item
2023-02-10 10:13:36	ga_s2bm_ard_3-2-1_54KYU_2023-02-10_final.stac-item
2023-02-14 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2023-02-14_final.stac-item
2023-02-16 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-02-16_final.stac-item
2023-03-02 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2023-03-02_final.stac-item
2023-03-03 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-03-03_final.stac-item
2023-03-06 09:54:05	ga_s2bm_ard_3-2-1_55JEM_2023-03-06_final.stac-item
2023-03-06 09:54:34	ga_s2bm_ard_3-2-1_55JEK_2023-03-06_final.stac-item
2023-03-06 09:55:21	ga_s2bm_ard_3-2-1_55JDG_2023-03-06_final.stac-item
2023-03-09 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-03-09_final.stac-item
2023-03-12 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2023-03-12_final.stac-item
2023-03-16 09:54:35	ga_s2bm_ard_3-2-1_55JEK_2023-03-16_final.stac-item
2023-03-19 10:04:58	ga_s2bm_ard_3-2-1_54JYP_2023-03-19_final.stac-item
2023-03-19 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2023-03-19_final.stac-item
2023-03-21 10:44:13	ga_s2bm_ard_3-2-1_53JMN_2023-03-21_final.stac-item
2023-04-01 10:12:24	ga_s2bm_ard_3-2-1_55KBU_2023-04-01_final.stac-item
2023-04-05 09:55:21	ga_s2bm_ard_3-2-1_55JDG_2023-04-05_final.stac-item
2023-04-05 09:56:26	ga_s2bm_ard_3-2-1_55HBC_2023-04-05_final.stac-item
2023-04-08 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2023-04-08_final.stac-item
2023-04-19 11:11:50	ga_s2bm_ard_3-2-1_52LEH_2023-04-19_final.stac-item
2023-04-20 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2023-04-20_final.stac-item
2023-04-20 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2023-04-20_final.stac-item
2023-04-21 10:13:11	ga_s2bm_ard_3-2-1_54KYA_2023-04-21_final.stac-item
2023-04-25 09:55:20	ga_s2bm_ard_3-2-1_55JDG_2023-04-25_final.stac-item
2023-05-04 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2023-05-04_final.stac-item
2023-05-07 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2023-05-07_final.stac-item
2023-05-08 10:04:42	ga_s2bm_ard_3-2-1_54JYQ_2023-05-08_final.stac-item
2023-05-11 10:15:43	ga_s2bm_ard_3-2-1_54JWL_2023-05-11_final.stac-item
2023-05-11 10:16:16	ga_s2bm_ard_3-2-1_54HVJ_2023-05-11_final.stac-item
2023-05-13 10:52:41	ga_s2bm_ard_3-2-1_53KMU_2023-05-13_final.stac-item
2023-05-13 10:53:31	ga_s2bm_ard_3-2-1_52KHA_2023-05-13_final.stac-item
2023-05-22 11:20:39	ga_s2bm_ard_3-2-1_52LDN_2023-05-22_nrt.stac-item
2023-05-25 09:54:36	ga_s2bm_ard_3-2-1_55JEK_2023-05-25_final.stac-item
2023-05-28 10:03:43	ga_s2bm_ard_3-2-1_54KZU_2023-05-28_final.stac-item
2023-05-29 11:12:22	ga_s2bm_ard_3-2-1_52KEF_2023-05-29_final.stac-item
2023-05-29 11:13:55	ga_s2bm_ard_3-2-1_52KCV_2023-05-29_final.stac-item
2023-06-15 11:04:34	ga_s2bm_ard_3-2-1_52JFS_2023-06-15_final.stac-item
2023-06-23 10:24:16	ga_s2bm_ard_3-2-1_54JVS_2023-06-23_final.stac-item
2023-07-12 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2023-07-12_final.stac-item
2023-07-18 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-07-18_final.stac-item
2023-07-22 10:51:31	ga_s2bm_ard_3-2-1_53LMD_2023-07-22_final.stac-item
2023-07-22 10:53:45	ga_s2bm_ard_3-2-1_53KLQ_2023-07-22_final.stac-item
2023-07-23 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-07-23_final.stac-item
2023-07-25 11:03:04	ga_s2bm_ard_3-2-1_52KGC_2023-07-25_final.stac-item
2023-07-29 10:42:12	ga_s2bm_ard_3-2-1_53KPA_2023-07-29_final.stac-item
2023-07-30 10:13:32	ga_s2bm_ard_3-2-1_54KXV_2023-07-30_final.stac-item
2023-08-01 10:51:30	ga_s2bm_ard_3-2-1_53LMD_2023-08-01_final.stac-item
2023-08-01 10:52:14	ga_s2bm_ard_3-2-1_53KMA_2023-08-01_final.stac-item
2023-08-03 09:54:36	ga_s2bm_ard_3-2-1_55JEK_2023-08-03_final.stac-item
2023-08-03 11:31:32	ga_s2bm_ard_3-2-1_51LXE_2023-08-03_nrt.stac-item
2023-08-13 09:54:08	ga_s2bm_ard_3-2-1_55JEM_2023-08-13_final.stac-item
2023-08-16 11:44:07	ga_s2bm_ard_3-2-1_50KRV_2023-08-16_final.stac-item
2023-08-17 11:12:26	ga_s2bm_ard_3-2-1_52KDF_2023-08-17_final.stac-item
2023-08-19 10:14:19	ga_s2bm_ard_3-2-1_54JWS_2023-08-19_final.stac-item
2023-08-22 10:24:17	ga_s2bm_ard_3-2-1_54JVS_2023-08-22_final.stac-item
2023-08-23 09:55:22	ga_s2bm_ard_3-2-1_55JDG_2023-08-23_final.stac-item
2023-08-29 11:51:52	ga_s2bm_ard_3-2-1_50LRJ_2023-08-29_nrt.stac-item
2023-10-14 10:33:19	ga_s2bm_ard_3-2-1_53KRR_2023-10-14_final.stac-item
2023-10-14 10:33:22	ga_s2bm_ard_3-2-1_53KQR_2023-10-14_final.stac-item
2023-10-23 11:01:43	ga_s2bm_ard_3-2-1_53LKC_2023-10-23_final.stac-item
2023-10-27 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2023-10-27_final.stac-item
2023-10-30 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2023-10-30_final.stac-item
2023-11-14 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2023-11-14_final.stac-item
2023-11-17 10:12:09	ga_s2bm_ard_3-2-1_54KYE_2023-11-17_final.stac-item
2023-11-18 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2023-11-18_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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