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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGP_2017-08-02_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HVG_2017-09-09_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_52JGL_2017-09-18_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JDT_2017-12-06_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52LFN_2018-01-05_final.stac-item
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KQU_2018-01-06_final
2018-01-09 10:47:16	ga_s2bm_ard_3-2-1_53KLT_2018-01-09_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HWD_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KYB_2018-01-31_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_53KPQ_2018-02-25_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JRT_2018-04-11_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52KGB_2018-05-09_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKM_2018-07-29_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXQ_2018-08-09_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JXG_2018-08-23_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEA_2018-08-30_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JNM_2018-10-03_final
2019-02-03 10:52:38	ga_s2bm_ard_3-2-1_53KMU_2019-02-03_final
2019-03-29 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2019-03-29_final
2019-05-09 10:06:22	ga_s2bm_ard_3-2-1_54HWJ_2019-05-09_final
2019-05-16 11:35:58	ga_s2bm_ard_3-2-1_51JUH_2019-05-16_final
2019-07-22 11:23:43	ga_s2bm_ard_3-2-1_52KBA_2019-07-22_final
2019-07-26 11:05:57	ga_s2bm_ard_3-2-1_52JDM_2019-07-26_final
2019-08-25 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2019-08-25_final
2019-09-29 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-09-29_final
2020-02-27 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-02-27_final
2020-04-16 10:16:30	ga_s2bm_ard_3-2-1_54HTH_2020-04-16_final
2020-04-26 10:16:34	ga_s2bm_ard_3-2-1_54HWG_2020-04-26_final
2020-05-21 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2020-05-21_final
2020-06-21 10:35:43	ga_s2bm_ard_3-2-1_53JMG_2020-06-21_final
2020-06-23 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2020-06-23_final
2020-06-23 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2020-06-23_final
2020-06-26 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-06-26_final
2020-07-12 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-07-12_final
2020-10-03 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-10-03_final
2020-10-30 10:07:29	ga_s2bm_ard_3-2-1_54HWD_2020-10-30_final
2020-12-07 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2020-12-07_final
2020-12-18 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2020-12-18_final
2021-01-29 11:12:28	ga_s2bm_ard_3-2-1_52KFE_2021-01-29_final
2021-01-30 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-01-30_final
2021-02-13 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-02-13_final
2021-02-19 10:41:46	ga_s2bm_ard_3-2-1_53KQB_2021-02-19_final
2021-02-25 11:02:02	ga_s2bm_ard_3-2-1_52KFG_2021-02-25_final
2021-03-14 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2021-03-14_final
2021-03-20 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2021-03-20_final
2021-03-23 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2021-03-23_final
2021-04-09 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2021-04-09_final
2021-04-22 09:48:03	ga_s2bm_ard_3-2-1_54GYA_2021-04-22_final
2021-04-28 10:07:03	ga_s2bm_ard_3-2-1_54HXE_2021-04-28_final
2021-05-11 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2021-05-11_final
2021-06-19 10:43:06	ga_s2bm_ard_3-2-1_53KPS_2021-06-19_final
2021-08-09 11:54:00	ga_s2bm_ard_3-2-1_50KPA_2021-08-09_final
2021-10-29 11:22:39	ga_s2bm_ard_3-2-1_51KZV_2021-10-29_final
2021-10-29 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-10-29_final
2021-11-09 10:53:50	ga_s2bm_ard_3-2-1_52KHV_2021-11-09_final
2021-11-21 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2021-11-21_final
2021-12-05 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2021-12-05_final
2022-01-07 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2022-01-07_final
2022-01-31 11:01:55	ga_s2bm_ard_3-2-1_52KGG_2022-01-31_final
2022-01-31 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2022-01-31_final
2022-02-01 10:35:25	ga_s2bm_ard_3-2-1_53JPG_2022-02-01_final
2022-02-27 10:55:45	ga_s2bm_ard_3-2-1_52JEM_2022-02-27_final
2022-03-10 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-03-10_final
2022-03-14 10:06:12	ga_s2bm_ard_3-2-1_54HWJ_2022-03-14_final
2022-03-27 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2022-03-27_final
2022-03-29 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2022-03-29_final
2022-04-14 11:11:55	ga_s2bm_ard_3-2-1_52KFG_2022-04-14_final
2022-05-16 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2022-05-16_final
2022-05-19 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-05-19_final
2022-05-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-19_final
2022-07-06 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-07-06_final
2022-08-14 10:17:07	ga_s2bm_ard_3-2-1_54HTF_2022-08-14_final
2022-08-23 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2022-08-23_final
2022-10-09 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2022-10-09_final.stac-item
2022-10-15 10:51:10	ga_s2bm_ard_3-2-1_53LME_2022-10-15_final.stac-item
2022-10-20 10:06:24	ga_s2bm_ard_3-2-1_54HXH_2022-10-20_final.stac-item
2022-10-28 11:04:13	ga_s2bm_ard_3-2-1_52JFT_2022-10-28_final.stac-item
2023-01-13 10:51:53	ga_s2bm_ard_3-2-1_53KLB_2023-01-13_final.stac-item
2023-01-26 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2023-01-26_final.stac-item
2023-02-12 10:55:12	ga_s2bm_ard_3-2-1_52JGP_2023-02-12_final.stac-item
2023-02-25 11:01:43	ga_s2bm_ard_3-2-1_52LHH_2023-02-25_final.stac-item
2023-03-04 10:51:36	ga_s2bm_ard_3-2-1_53LMC_2023-03-04_final.stac-item
2023-03-04 10:52:28	ga_s2bm_ard_3-2-1_53KLV_2023-03-04_final.stac-item
2023-03-08 10:32:47	ga_s2bm_ard_3-2-1_53KRT_2023-03-08_final.stac-item
2023-03-09 10:07:04	ga_s2bm_ard_3-2-1_54HVF_2023-03-09_final.stac-item
2023-03-23 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2023-03-23_final.stac-item
2023-04-06 11:00:39	ga_s2bm_ard_3-2-1_53LMG_2023-04-06_final.stac-item
2023-05-09 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2023-05-09_final.stac-item
2023-05-21 10:16:39	ga_s2bm_ard_3-2-1_54HTH_2023-05-21_final.stac-item
2023-07-03 10:26:50	ga_s2bm_ard_3-2-1_54HTG_2023-07-03_final.stac-item
2023-08-01 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2023-08-01_final.stac-item
2023-10-24 12:14:15	ga_s2bm_ard_3-2-1_49KFQ_2023-10-24_nrt.stac-item
2023-12-11 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-12-11_final.stac-item
2023-12-27 10:16:47	ga_s2bm_ard_3-2-1_54HUG_2023-12-27_final.stac-item
2023-12-29 10:53:47	ga_s2bm_ard_3-2-1_52KGV_2023-12-29_final.stac-item
2024-01-27 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2024-01-27_final.stac-item
2024-02-11 10:33:46	ga_s2bm_ard_3-2-1_53KRP_2024-02-11_final.stac-item
2024-02-14 10:42:52	ga_s2bm_ard_3-2-1_53KQT_2024-02-14_final.stac-item
2024-02-27 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2024-02-27_final.stac-item
2024-03-07 11:22:13	ga_s2bm_ard_3-2-1_52KCF_2024-03-07_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