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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_50KRV_2017-07-18_final
2017-08-14 09:51:03	ga_s2bm_ard_3-2-1_55KER_2017-08-14_final
2017-08-31 09:43:47	ga_s2bm_ard_3-2-1_55JGK_2017-08-31_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JUM_2018-01-21_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JEK_2018-01-31_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52JBM_2018-02-14_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCD_2018-03-12_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_55JBL_2018-03-25_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_52LCH_2018-04-08_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_52LBH_2018-04-18_final
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55JDH_2018-04-21_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55JEF_2018-05-18_final
2018-07-01 10:57:40	ga_s2bm_ard_3-2-1_53LKC_2018-07-01_final
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_53LKC_2018-07-11_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KDE_2018-08-13_final
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JDQ_2018-08-20_final
2018-08-25 10:13:36	ga_s2bm_ard_3-2-1_54HVJ_2018-08-25_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUT_2018-09-01_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_53KMU_2018-09-06_final
2018-09-09 11:01:38	ga_s2bm_ard_3-2-1_52JDL_2018-09-09_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53KRQ_2018-09-20_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JXL_2018-10-15_final
2018-10-25 09:44:53	ga_s2bm_ard_3-2-1_55JEF_2018-10-25_final
2018-11-20 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2018-11-20_final
2018-12-30 10:04:01	ga_s2bm_ard_3-2-1_55JCM_2018-12-30_final
2019-01-02 10:13:24	ga_s2bm_ard_3-2-1_54KXV_2019-01-02_final
2019-02-14 10:23:00	ga_s2bm_ard_3-2-1_54KVB_2019-02-14_final
2019-03-31 11:12:48	ga_s2bm_ard_3-2-1_52KED_2019-03-31_final
2019-05-20 11:14:46	ga_s2bm_ard_3-2-1_51JZM_2019-05-20_final
2019-05-22 10:15:06	ga_s2bm_ard_3-2-1_54JWP_2019-05-22_final
2019-05-26 09:54:28	ga_s2bm_ard_3-2-1_55JDL_2019-05-26_final
2019-06-06 11:01:20	ga_s2bm_ard_3-2-1_53LKE_2019-06-06_final
2019-06-18 10:03:43	ga_s2bm_ard_3-2-1_55KCP_2019-06-18_final
2019-07-03 10:55:22	ga_s2bm_ard_3-2-1_52JGP_2019-07-03_final
2019-07-09 11:11:25	ga_s2bm_ard_3-2-1_52LFK_2019-07-09_final
2019-07-12 09:45:24	ga_s2bm_ard_3-2-1_55JFG_2019-07-12_final
2019-07-24 10:24:10	ga_s2bm_ard_3-2-1_54JUT_2019-07-24_final
2019-08-04 09:54:56	ga_s2bm_ard_3-2-1_55JDJ_2019-08-04_final
2019-08-15 11:01:48	ga_s2bm_ard_3-2-1_53LKC_2019-08-15_final
2019-08-20 11:54:28	ga_s2bm_ard_3-2-1_50KNU_2019-08-20_final
2019-09-12 10:22:57	ga_s2bm_ard_3-2-1_54KWB_2019-09-12_final
2019-09-12 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-09-12_final
2019-10-02 10:24:02	ga_s2bm_ard_3-2-1_54JUT_2019-10-02_final
2019-10-12 10:24:02	ga_s2bm_ard_3-2-1_54JUT_2019-10-12_final
2019-11-19 09:44:59	ga_s2bm_ard_3-2-1_55JFH_2019-11-19_final
2019-12-09 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2019-12-09_final
2020-01-01 09:54:15	ga_s2bm_ard_3-2-1_55JDL_2020-01-01_final
2020-02-16 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2020-02-16_final
2020-04-22 10:31:58	ga_s2bm_ard_3-2-1_54KTF_2020-04-22_final
2020-05-11 11:01:11	ga_s2bm_ard_3-2-1_53LKE_2020-05-11_final
2020-06-06 09:44:30	ga_s2bm_ard_3-2-1_55JGK_2020-06-06_final
2020-07-02 10:05:40	ga_s2bm_ard_3-2-1_54JYL_2020-07-02_final
2020-07-15 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2020-07-15_final
2020-07-29 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2020-07-29_final
2020-09-07 09:54:52	ga_s2bm_ard_3-2-1_55JDJ_2020-09-07_final
2020-10-20 10:02:26	ga_s2bm_ard_3-2-1_55KCU_2020-10-20_final
2020-10-26 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2020-10-26_final
2020-12-09 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2020-12-09_final
2021-03-09 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-03-09_final
2021-04-25 09:54:14	ga_s2bm_ard_3-2-1_55JDL_2021-04-25_final
2021-05-18 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2021-05-18_final
2021-05-21 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2021-05-21_final
2021-05-29 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2021-05-29_final.stac-item
2021-07-11 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2021-07-11_final
2021-07-11 11:21:55	ga_s2bm_ard_3-2-1_52LBH_2021-07-11_final
2021-07-27 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2021-07-27_final
2021-07-29 10:41:51	ga_s2bm_ard_3-2-1_53KQB_2021-07-29_final
2021-08-13 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2021-08-13_final
2021-08-16 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2021-08-16_final.stac-item
2021-09-12 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2021-09-12_final
2021-09-12 09:55:47	ga_s2bm_ard_3-2-1_55HCE_2021-09-12_final
2021-10-05 10:02:22	ga_s2bm_ard_3-2-1_55KCU_2021-10-05_final
2021-10-07 10:45:08	ga_s2bm_ard_3-2-1_53JMJ_2021-10-07_final
2022-03-01 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2022-03-01_final
2022-05-17 09:44:42	ga_s2bm_ard_3-2-1_55JGJ_2022-05-17_final
2022-06-09 09:54:33	ga_s2bm_ard_3-2-1_55JEK_2022-06-09_final
2022-06-22 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2022-06-22_final
2022-06-22 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2022-06-22_final
2022-07-02 11:44:07	ga_s2bm_ard_3-2-1_51KTQ_2022-07-02_final
2022-07-04 10:44:29	ga_s2bm_ard_3-2-1_53JMM_2022-07-04_final
2022-07-20 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2022-07-20_final
2022-07-21 10:32:37	ga_s2bm_ard_3-2-1_54KTD_2022-07-21_final
2022-08-28 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2022-08-28_final
2022-08-31 10:05:07	ga_s2bm_ard_3-2-1_55JBH_2022-08-31_final
2022-09-13 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2022-09-13_final.stac-item
2023-02-24 09:55:51	ga_s2bm_ard_3-2-1_55HCE_2023-02-24_final.stac-item
2023-03-15 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-03-15_final.stac-item
2023-04-01 10:12:39	ga_s2bm_ard_3-2-1_54KZC_2023-04-01_final.stac-item
2023-04-14 10:24:02	ga_s2bm_ard_3-2-1_54JUT_2023-04-14_final.stac-item
2023-04-20 10:45:42	ga_s2bm_ard_3-2-1_53JLG_2023-04-20_final.stac-item
2023-04-22 09:44:44	ga_s2bm_ard_3-2-1_55JGJ_2023-04-22_final.stac-item
2023-05-18 11:45:40	ga_s2bm_ard_3-2-1_50JPP_2023-05-18_final.stac-item
2023-05-27 10:33:07	ga_s2bm_ard_3-2-1_53KRS_2023-05-27_final.stac-item
2023-06-03 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-06-03_final.stac-item
2023-06-09 10:43:13	ga_s2bm_ard_3-2-1_53KNS_2023-06-09_final.stac-item
2023-07-23 10:23:06	ga_s2bm_ard_3-2-1_54KVB_2023-07-23_final.stac-item
2023-08-03 09:55:26	ga_s2bm_ard_3-2-1_55JCG_2023-08-03_final.stac-item
2023-08-20 09:45:06	ga_s2bm_ard_3-2-1_55JFH_2023-08-20_final.stac-item
2023-10-17 10:43:57	ga_s2bm_ard_3-2-1_53KMP_2023-10-17_final.stac-item
2023-11-04 10:03:55	ga_s2bm_ard_3-2-1_55JBN_2023-11-04_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

All years