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
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55KCQ_2017-08-17_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JBL_2017-08-17_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55JDH_2017-08-24_final
2017-08-27 10:01:47	ga_s2bm_ard_3-2-1_55KDR_2017-08-27_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54KYE_2017-11-08_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55JDH_2018-01-11_final
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_55JEL_2018-05-21_final
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55KER_2018-06-20_final
2018-07-06 10:09:42	ga_s2bm_ard_3-2-1_54KZC_2018-07-06_final
2018-07-06 10:09:42	ga_s2bm_ard_3-2-1_54KYE_2018-07-06_final
2018-07-06 10:09:42	ga_s2bm_ard_3-2-1_54KXA_2018-07-06_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JGK_2018-08-16_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JBM_2018-09-01_final
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_55JCN_2018-09-11_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_55JFG_2018-09-15_final
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55JDK_2018-09-18_final
2018-09-27 10:17:00	ga_s2bm_ard_3-2-1_54KXG_2018-09-27_final
2019-04-13 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2019-04-13_final
2019-05-19 10:04:31	ga_s2bm_ard_3-2-1_55JBL_2019-05-19_final
2019-05-29 10:03:58	ga_s2bm_ard_3-2-1_55JCN_2019-05-29_final
2019-06-22 09:44:54	ga_s2bm_ard_3-2-1_55JFJ_2019-06-22_final
2019-07-18 10:03:47	ga_s2bm_ard_3-2-1_55KBP_2019-07-18_final
2019-07-28 10:03:29	ga_s2bm_ard_3-2-1_55KCQ_2019-07-28_final
2019-08-01 09:45:41	ga_s2bm_ard_3-2-1_55JEF_2019-08-01_final
2019-08-20 10:13:29	ga_s2bm_ard_3-2-1_54KYV_2019-08-20_final
2019-08-20 10:13:32	ga_s2bm_ard_3-2-1_54KXV_2019-08-20_final
2019-08-27 10:03:07	ga_s2bm_ard_3-2-1_55KDR_2019-08-27_final
2019-08-30 10:12:14	ga_s2bm_ard_3-2-1_54KYE_2019-08-30_final
2019-08-31 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2019-08-31_final
2019-09-06 10:03:05	ga_s2bm_ard_3-2-1_55KDR_2019-09-06_final
2019-09-16 10:04:36	ga_s2bm_ard_3-2-1_55JBK_2019-09-16_final
2019-10-06 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2019-10-06_final
2019-10-09 10:12:22	ga_s2bm_ard_3-2-1_55KBU_2019-10-09_final
2020-04-23 10:03:44	ga_s2bm_ard_3-2-1_55JCN_2020-04-23_final
2020-05-29 10:21:56	ga_s2bm_ard_3-2-1_54KXF_2020-05-29_final
2020-06-05 10:13:10	ga_s2bm_ard_3-2-1_54KYA_2020-06-05_final
2020-06-08 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2020-06-08_final
2020-06-30 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-06-30_final.stac-item
2020-07-15 10:11:54	ga_s2bm_ard_3-2-1_54KZF_2020-07-15_final
2020-08-11 10:04:08	ga_s2bm_ard_3-2-1_55JCM_2020-08-11_final
2020-08-21 10:03:06	ga_s2bm_ard_3-2-1_55KDR_2020-08-21_final
2020-09-27 09:54:37	ga_s2bm_ard_3-2-1_55JDK_2020-09-27_final
2020-10-30 10:04:07	ga_s2bm_ard_3-2-1_55JCM_2020-10-30_final
2020-11-22 10:13:09	ga_s2bm_ard_3-2-1_54KYA_2020-11-22_final
2021-05-18 10:03:49	ga_s2bm_ard_3-2-1_55JCN_2021-05-18_final
2021-05-28 10:02:49	ga_s2bm_ard_3-2-1_55KDS_2021-05-28_final
2021-05-28 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2021-05-28_final
2021-07-04 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2021-07-04_final
2021-07-23 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2021-07-23_final
2021-07-27 10:03:52	ga_s2bm_ard_3-2-1_55JCN_2021-07-27_final
2021-07-30 10:12:12	ga_s2bm_ard_3-2-1_54KYE_2021-07-30_final
2021-08-06 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2021-08-06_final
2021-09-08 10:13:05	ga_s2bm_ard_3-2-1_54KYA_2021-09-08_final
2021-09-21 10:21:09	ga_s2bm_ard_3-2-1_54LXJ_2021-09-21_final
2021-09-22 09:55:15	ga_s2bm_ard_3-2-1_55JDG_2021-09-22_final
2021-11-17 10:13:25	ga_s2bm_ard_3-2-1_54KXV_2021-11-17_final
2021-12-21 09:56:17	ga_s2bm_ard_3-2-1_55HBC_2021-12-21_final
2022-02-19 09:55:12	ga_s2bm_ard_3-2-1_55JDG_2022-02-19_final
2022-03-04 10:02:45	ga_s2bm_ard_3-2-1_55KDS_2022-03-04_final
2022-03-07 10:13:06	ga_s2bm_ard_3-2-1_54KYA_2022-03-07_final
2022-03-11 09:54:03	ga_s2bm_ard_3-2-1_55JDM_2022-03-11_final
2022-03-17 10:13:21	ga_s2bm_ard_3-2-1_54KYV_2022-03-17_final
2022-06-09 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2022-06-09_final
2022-08-21 10:02:50	ga_s2bm_ard_3-2-1_55KDS_2022-08-21_final
2022-08-24 10:12:21	ga_s2bm_ard_3-2-1_55KBU_2022-08-24_final
2023-02-20 10:14:42	ga_s2bm_ard_3-2-1_54JWQ_2023-02-20_final.stac-item
2023-03-14 10:53:29	ga_s2bm_ard_3-2-1_53KLR_2023-03-14_final.stac-item
2023-03-15 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-03-15_final.stac-item
2023-03-19 10:04:43	ga_s2bm_ard_3-2-1_54JYQ_2023-03-19_final.stac-item
2023-04-15 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-04-15_final.stac-item
2023-04-23 10:53:27	ga_s2bm_ard_3-2-1_53KLR_2023-04-23_final.stac-item
2023-04-23 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-04-23_final.stac-item
2023-05-10 10:45:10	ga_s2bm_ard_3-2-1_53JMJ_2023-05-10_final.stac-item
2023-05-11 10:14:12	ga_s2bm_ard_3-2-1_54JXS_2023-05-11_final.stac-item
2023-05-15 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2023-05-15_final.stac-item
2023-05-17 10:32:52	ga_s2bm_ard_3-2-1_53KRT_2023-05-17_final.stac-item
2023-05-18 10:02:53	ga_s2bm_ard_3-2-1_55KDS_2023-05-18_final.stac-item
2023-05-21 10:14:33	ga_s2bm_ard_3-2-1_54JWR_2023-05-21_final.stac-item
2023-05-23 10:52:14	ga_s2bm_ard_3-2-1_53KMA_2023-05-23_final.stac-item
2023-05-23 10:53:30	ga_s2bm_ard_3-2-1_53KLR_2023-05-23_final.stac-item
2023-05-27 10:34:26	ga_s2bm_ard_3-2-1_53JPM_2023-05-27_final.stac-item
2023-06-07 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-06-07_final.stac-item
2023-06-10 11:55:00	ga_s2bm_ard_3-2-1_50JMS_2023-06-10_final.stac-item
2023-06-13 10:22:18	ga_s2bm_ard_3-2-1_54KWE_2023-06-13_final.stac-item
2023-06-24 09:54:38	ga_s2bm_ard_3-2-1_55JDK_2023-06-24_final.stac-item
2023-07-11 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-07-11_final.stac-item
2023-07-23 10:22:37	ga_s2bm_ard_3-2-1_54KVD_2023-07-23_final.stac-item
2023-07-23 12:04:19	ga_s2bm_ard_3-2-1_50KKV_2023-07-23_final.stac-item
2023-08-01 10:53:15	ga_s2bm_ard_3-2-1_53KLS_2023-08-01_final.stac-item
2023-08-06 11:41:35	ga_s2bm_ard_3-2-1_51LVE_2023-08-06_final.stac-item
2023-08-08 10:45:13	ga_s2bm_ard_3-2-1_53JMJ_2023-08-08_final.stac-item
2023-08-09 10:14:15	ga_s2bm_ard_3-2-1_54JXS_2023-08-09_final.stac-item
2023-08-10 09:45:21	ga_s2bm_ard_3-2-1_55JFG_2023-08-10_final.stac-item
2023-10-18 10:15:14	ga_s2bm_ard_3-2-1_54JWN_2023-10-18_final.stac-item
2023-10-21 10:23:48	ga_s2bm_ard_3-2-1_54KUU_2023-10-21_final.stac-item
2023-10-22 09:55:05	ga_s2bm_ard_3-2-1_55JDH_2023-10-22_final.stac-item
2023-10-31 12:03:58	ga_s2bm_ard_3-2-1_50KLA_2023-10-31_final.stac-item
2023-10-31 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2023-10-31_final.stac-item
2023-11-01 09:55:06	ga_s2bm_ard_3-2-1_55JDH_2023-11-01_final.stac-item
2023-11-02 11:01:29	ga_s2bm_ard_3-2-1_53LKD_2023-11-02_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