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
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_53LMG_2017-11-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZP_2017-12-29_final
2018-01-16 10:37:19	ga_s2bm_ard_3-2-1_53LQC_2018-01-16_final
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_53KKR_2018-04-12_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HLG_2018-04-14_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52KFB_2018-05-02_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JVM_2018-05-31_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53KNP_2018-07-25_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUD_2018-09-18_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KBD_2018-10-25_final
2018-11-07 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2018-11-07_final
2018-12-02 10:45:42	ga_s2bm_ard_3-2-1_52JGM_2018-12-02_final
2018-12-12 10:45:38	ga_s2bm_ard_3-2-1_52JGM_2018-12-12_final
2018-12-27 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2018-12-27_final
2019-01-01 10:41:35	ga_s2bm_ard_3-2-1_53LPC_2019-01-01_final
2019-03-20 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2019-03-20_final
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final
2019-08-22 10:54:53	ga_s2bm_ard_3-2-1_52JFR_2019-08-22_final
2019-09-12 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2019-09-12_final
2019-10-06 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-10-06_final
2019-10-10 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2019-10-10_final
2019-11-19 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2019-11-19_final
2019-11-19 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2019-11-19_final
2019-11-29 11:22:44	ga_s2bm_ard_3-2-1_52KCD_2019-11-29_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2020-01-11 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-01-11_final.stac-item
2020-02-07 09:48:03	ga_s2bm_ard_3-2-1_54GYA_2020-02-07_final
2020-02-27 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-02-27_final
2020-02-27 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2020-02-27_final
2020-05-07 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2020-05-07_final
2020-05-23 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2020-05-23_final
2020-06-26 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-06-26_final
2020-07-01 10:33:37	ga_s2bm_ard_3-2-1_53KQQ_2020-07-01_final
2020-08-05 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-08-05_final
2020-09-01 11:15:07	ga_s2bm_ard_3-2-1_52JCQ_2020-09-01_final
2020-11-05 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2020-11-05_final
2020-11-28 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2020-11-28_final
2020-12-28 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2020-12-28_final
2021-01-05 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2021-01-05_final
2021-01-22 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2021-01-22_final
2021-02-09 10:42:24	ga_s2bm_ard_3-2-1_53KNV_2021-02-09_final
2021-02-09 10:43:39	ga_s2bm_ard_3-2-1_53KMQ_2021-02-09_final
2021-02-11 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2021-02-11_final
2021-03-15 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final
2021-03-26 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-03-26_final
2021-03-28 10:35:00	ga_s2bm_ard_3-2-1_53JQJ_2021-03-28_final
2021-04-02 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2021-04-02_final
2021-04-12 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2021-04-12_final
2021-05-21 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-05-21_final
2021-05-26 11:04:47	ga_s2bm_ard_3-2-1_52JER_2021-05-26_final
2021-07-13 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2021-07-13_final
2021-09-25 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2021-09-25_final
2021-10-31 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2021-10-31_final
2021-11-09 10:53:21	ga_s2bm_ard_3-2-1_53KMR_2021-11-09_final
2021-11-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-11-17_final
2021-11-18 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2021-11-18_final
2022-01-04 11:14:27	ga_s2bm_ard_3-2-1_52JDS_2022-01-04_final
2022-01-27 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2022-01-27_final
2022-03-22 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2022-03-22_final
2022-03-24 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2022-03-24_final
2022-05-20 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2022-05-20_final
2022-08-14 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2022-08-14_final
2022-09-08 11:04:20	ga_s2bm_ard_3-2-1_52JET_2022-09-08_final.stac-item
2022-09-09 10:35:17	ga_s2bm_ard_3-2-1_53JMJ_2022-09-09_final.stac-item
2022-09-10 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2022-09-10_final.stac-item
2022-09-24 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2022-09-24_final.stac-item
2022-10-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-10-29_final.stac-item
2022-11-07 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2022-11-07_final.stac-item
2022-11-11 10:44:08	ga_s2bm_ard_3-2-1_53JPM_2022-11-11_final.stac-item
2022-11-30 11:10:45	ga_s2bm_ard_3-2-1_52LFM_2022-11-30_final.stac-item
2023-03-01 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2023-03-01_final.stac-item
2023-03-15 10:26:58	ga_s2bm_ard_3-2-1_53HNB_2023-03-15_final.stac-item
2023-04-16 11:03:43	ga_s2bm_ard_3-2-1_52KGV_2023-04-16_final.stac-item
2023-04-17 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2023-04-17_final.stac-item
2023-04-24 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2023-04-24_final.stac-item
2023-05-02 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-05-02_final.stac-item
2023-05-17 10:36:00	ga_s2bm_ard_3-2-1_53HQE_2023-05-17_final.stac-item
2023-05-26 11:04:52	ga_s2bm_ard_3-2-1_52JER_2023-05-26_final.stac-item
2023-05-29 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-05-29_final.stac-item
2023-06-11 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2023-06-11_final.stac-item
2023-06-19 10:43:56	ga_s2bm_ard_3-2-1_53KNP_2023-06-19_final.stac-item
2023-07-01 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-07-01_final.stac-item
2023-07-23 10:26:36	ga_s2bm_ard_3-2-1_54HTH_2023-07-23_final.stac-item
2023-07-25 11:03:48	ga_s2bm_ard_3-2-1_52KGV_2023-07-25_final.stac-item
2023-08-12 10:24:45	ga_s2bm_ard_3-2-1_53JQL_2023-08-12_final.stac-item
2023-09-03 11:00:49	ga_s2bm_ard_3-2-1_52LHM_2023-09-03_final.stac-item
2023-10-09 11:21:37	ga_s2bm_ard_3-2-1_52LCJ_2023-10-09_final.stac-item
2023-10-26 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2023-10-26_final.stac-item
2023-11-08 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-11-08_final.stac-item
2023-11-19 10:52:57	ga_s2bm_ard_3-2-1_53KKT_2023-11-19_final.stac-item
2023-12-09 10:51:18	ga_s2bm_ard_3-2-1_53LND_2023-12-09_final.stac-item
2023-12-19 10:52:30	ga_s2bm_ard_3-2-1_53KKV_2023-12-19_final.stac-item
2023-12-25 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2023-12-25_final.stac-item
2024-01-13 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2024-01-13_final.stac-item
2024-02-23 11:12:32	ga_s2bm_ard_3-2-1_52KEE_2024-02-23_final.stac-item
2024-03-31 11:01:13	ga_s2bm_ard_3-2-1_52LHK_2024-03-31_final.stac-item
2024-04-06 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2024-04-06_final.stac-item
2024-05-03 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2024-05-03_final.stac-item
2024-05-29 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2024-05-29_nrt.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