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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53KNP_2017-06-30_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53JRM_2017-08-03_final
2017-09-08 10:41:55	ga_s2bm_ard_3-2-1_53KRV_2017-09-08_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKN_2017-09-29_final
2017-11-18 10:13:29	ga_s2bm_ard_3-2-1_54HUD_2017-11-18_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LUE_2017-11-25_final
2018-03-20 10:47:18	ga_s2bm_ard_3-2-1_53LPG_2018-03-20_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53KQP_2018-04-03_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LWC_2018-04-04_final
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_53HMD_2018-05-16_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53HME_2018-05-23_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JET_2018-08-23_final
2018-08-28 10:21:53	ga_s2bm_ard_3-2-1_53JRM_2018-08-28_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRN_2018-08-31_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNM_2018-09-03_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-10-10_final
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52LEL_2018-10-22_final.stac-item
2018-11-21 11:10:29	ga_s2bm_ard_3-2-1_52LFN_2018-11-21_final.stac-item
2018-12-17 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-12-17_final
2019-03-12 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2019-03-12_final
2019-03-29 10:31:52	ga_s2bm_ard_3-2-1_53KRB_2019-03-29_final
2019-04-26 11:33:20	ga_s2bm_ard_3-2-1_51KWT_2019-04-26_final
2019-05-08 10:34:41	ga_s2bm_ard_3-2-1_53JQL_2019-05-08_final
2019-05-28 10:34:08	ga_s2bm_ard_3-2-1_53JRN_2019-05-28_final
2019-06-15 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-06-15_final
2019-07-10 10:44:29	ga_s2bm_ard_3-2-1_53JNM_2019-07-10_final
2019-07-17 10:33:54	ga_s2bm_ard_3-2-1_53KRP_2019-07-17_final
2019-09-25 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2019-09-25_final
2019-10-07 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2019-10-07_final.stac-item
2019-10-16 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2019-10-16_final
2019-10-18 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2019-10-18_final
2019-11-04 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2019-11-04_final
2020-01-21 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2020-01-21_final
2020-02-10 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-02-10_final
2020-02-28 10:51:37	ga_s2bm_ard_3-2-1_53LMC_2020-02-28_final
2020-03-06 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2020-03-06_final
2020-03-13 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2020-03-13_final
2020-04-09 10:26:47	ga_s2bm_ard_3-2-1_53HPB_2020-04-09_final
2020-06-06 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-06-06_final
2020-09-13 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2020-09-13_final
2020-09-19 10:35:03	ga_s2bm_ard_3-2-1_53JQJ_2020-09-19_final
2020-10-05 10:50:53	ga_s2bm_ard_3-2-1_53LPF_2020-10-05_final
2020-10-19 10:33:53	ga_s2bm_ard_3-2-1_53KQP_2020-10-19_final
2020-10-21 11:10:30	ga_s2bm_ard_3-2-1_52LHN_2020-10-21_final
2020-10-29 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2020-10-29_final
2020-11-03 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-11-03_final
2020-11-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-11-29_final
2020-12-26 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2020-12-26_final
2021-01-22 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2021-01-22_final
2021-01-28 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-28_final.stac-item
2021-02-22 10:50:47	ga_s2bm_ard_3-2-1_53LPF_2021-02-22_final
2021-02-22 10:52:19	ga_s2bm_ard_3-2-1_53KLV_2021-02-22_final
2021-02-24 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-02-24_final
2021-04-04 10:24:49	ga_s2bm_ard_3-2-1_53JQK_2021-04-04_final
2021-04-14 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2021-04-14_final
2021-05-14 10:26:15	ga_s2bm_ard_3-2-1_54HTJ_2021-05-14_final
2021-05-20 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2021-05-20_final
2021-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-27_final
2021-07-04 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2021-07-04_final
2021-08-25 10:33:44	ga_s2bm_ard_3-2-1_53KRP_2021-08-25_final
2021-09-11 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2021-09-11_final
2021-10-14 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2021-10-14_final
2021-11-22 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2021-11-22_final
2021-11-23 10:36:03	ga_s2bm_ard_3-2-1_53HNE_2021-11-23_final
2021-11-25 11:11:12	ga_s2bm_ard_3-2-1_52LFK_2021-11-25_final
2021-12-06 10:42:05	ga_s2bm_ard_3-2-1_53KNA_2021-12-06_final
2021-12-13 10:34:51	ga_s2bm_ard_3-2-1_53JQJ_2021-12-13_final
2021-12-28 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2021-12-28_final
2021-12-30 10:25:01	ga_s2bm_ard_3-2-1_53JQJ_2021-12-30_final
2021-12-31 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2021-12-31_final
2022-01-12 10:34:14	ga_s2bm_ard_3-2-1_53JQM_2022-01-12_final
2022-01-17 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2022-01-17_final
2022-01-28 10:50:28	ga_s2bm_ard_3-2-1_53LPG_2022-01-28_final
2022-02-11 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-11_final
2022-03-27 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2022-03-27_final
2022-05-02 10:34:12	ga_s2bm_ard_3-2-1_53JQM_2022-05-02_final
2022-05-13 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-05-13_final
2022-06-15 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2022-06-15_final
2022-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2022-08-14_final
2022-10-06 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2022-10-06_final.stac-item
2022-10-30 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-10-30_final.stac-item
2022-12-18 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2022-12-18_final.stac-item
2022-12-27 11:01:12	ga_s2bm_ard_3-2-1_53LKE_2022-12-27_final.stac-item
2023-01-21 10:17:13	ga_s2bm_ard_3-2-1_54HUE_2023-01-21_final.stac-item
2023-01-27 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2023-01-27_final.stac-item
2023-03-19 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-19_final.stac-item
2023-04-02 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2023-04-02_final.stac-item
2023-04-09 11:11:27	ga_s2bm_ard_3-2-1_52LGJ_2023-04-09_final.stac-item
2023-07-13 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-07-13_final.stac-item
2023-08-02 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-08-02_final.stac-item
2023-09-06 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2023-09-06_final.stac-item
2023-11-28 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2023-11-28_final.stac-item
2023-12-23 10:34:00	ga_s2bm_ard_3-2-1_53JPN_2023-12-23_final.stac-item
2023-12-26 10:43:55	ga_s2bm_ard_3-2-1_53KPP_2023-12-26_final.stac-item
2024-01-14 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-01-14_final.stac-item
2024-01-18 10:50:34	ga_s2bm_ard_3-2-1_53LPG_2024-01-18_final.stac-item
2024-02-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-02-12_final.stac-item
2024-02-17 10:50:49	ga_s2bm_ard_3-2-1_53LLG_2024-02-17_final.stac-item
2024-03-03 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2024-03-03_final.stac-item
2024-03-04 11:14:02	ga_s2bm_ard_3-2-1_52KCU_2024-03-04_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