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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KWQ_2017-07-12_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JKP_2017-08-20_final
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51KZP_2017-08-21_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HVD_2017-09-30_final
2017-10-17 11:10:23	ga_s2bm_ard_3-2-1_52LFL_2017-10-17_final
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KNS_2017-10-28_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51KXS_2017-10-30_final
2017-12-27 10:37:16	ga_s2bm_ard_3-2-1_53KPB_2017-12-27_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KQF_2017-12-28_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_52KCD_2018-02-07_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50KRD_2018-03-15_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53KLV_2018-03-20_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KBV_2018-04-05_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51LWC_2018-08-02_final
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53HQC_2018-08-08_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGJ_2018-08-08_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWS_2018-09-18_final
2018-11-11 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2018-11-11_final
2018-12-21 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2018-12-21_final
2019-01-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-01-06_final
2019-01-26 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-01-26_final
2019-03-14 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2019-03-14_final
2019-03-21 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-03-21_final
2019-04-26 11:33:45	ga_s2bm_ard_3-2-1_51KXR_2019-04-26_final
2019-05-20 11:13:20	ga_s2bm_ard_3-2-1_52KCC_2019-05-20_final
2019-06-21 11:52:45	ga_s2bm_ard_3-2-1_50KPF_2019-06-21_final.stac-item
2019-06-23 10:56:02	ga_s2bm_ard_3-2-1_53JKF_2019-06-23_final
2019-06-30 10:44:00	ga_s2bm_ard_3-2-1_53KNP_2019-06-30_final
2019-07-23 10:55:36	ga_s2bm_ard_3-2-1_52JGN_2019-07-23_final
2019-07-24 10:25:14	ga_s2bm_ard_3-2-1_53JQJ_2019-07-24_final
2019-07-27 10:37:07	ga_s2bm_ard_3-2-1_53HPA_2019-07-27_final
2019-08-11 11:26:47	ga_s2bm_ard_3-2-1_51HWD_2019-08-11_final
2019-09-16 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2019-09-16_final
2019-11-02 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2019-11-02_final
2019-11-21 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2019-11-21_final
2019-12-14 10:34:41	ga_s2bm_ard_3-2-1_53JQK_2019-12-14_final
2019-12-15 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2019-12-15_final
2019-12-26 11:10:42	ga_s2bm_ard_3-2-1_52LFM_2019-12-26_final.stac-item
2020-01-30 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2020-01-30_final
2020-02-09 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-02-09_final
2020-02-14 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2020-02-14_final
2020-03-15 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-15_final
2020-03-24 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-03-24_final
2020-04-05 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2020-04-05_final
2020-06-01 10:36:08	ga_s2bm_ard_3-2-1_53HNE_2020-06-01_final
2020-06-05 11:53:58	ga_s2bm_ard_3-2-1_50KMA_2020-06-05_final
2020-07-16 11:23:45	ga_s2bm_ard_3-2-1_51KZQ_2020-07-16_final
2020-07-24 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2020-07-24_final
2020-07-26 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2020-07-26_final
2020-07-28 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-07-28_final
2020-08-20 10:36:35	ga_s2bm_ard_3-2-1_53HPC_2020-08-20_final
2020-09-17 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2020-09-17_final
2020-09-19 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2020-09-19_final
2020-10-09 10:36:28	ga_s2bm_ard_3-2-1_53HMD_2020-10-09_final
2020-11-03 11:21:28	ga_s2bm_ard_3-2-1_51LZE_2020-11-03_final
2020-12-10 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2020-12-10_final
2020-12-14 10:55:35	ga_s2bm_ard_3-2-1_53JKG_2020-12-14_final
2020-12-29 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-12-29_final
2021-02-17 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2021-02-17_final
2021-02-18 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2021-02-18_final
2021-03-08 10:35:15	ga_s2bm_ard_3-2-1_53JQH_2021-03-08_final
2021-06-08 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2021-06-08_final
2021-06-10 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-10_final
2021-06-22 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2021-06-22_final
2021-06-26 10:35:56	ga_s2bm_ard_3-2-1_53JMF_2021-06-26_final
2021-07-13 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2021-07-13_final
2021-07-15 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2021-07-15_final
2021-07-30 11:56:24	ga_s2bm_ard_3-2-1_50JML_2021-07-30_final
2021-08-22 10:24:56	ga_s2bm_ard_3-2-1_53JQJ_2021-08-22_final
2021-09-03 11:04:14	ga_s2bm_ard_3-2-1_52JET_2021-09-03_final
2021-11-21 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-11-21_final
2021-11-22 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2021-11-22_final
2022-02-05 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-02-19 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-02-19_final
2022-04-24 11:14:03	ga_s2bm_ard_3-2-1_52KBU_2022-04-24_final
2022-05-31 11:04:19	ga_s2bm_ard_3-2-1_52JFT_2022-05-31_final
2022-06-03 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-06-03_final
2022-07-21 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2022-07-21_final
2022-08-07 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-08-07_final
2022-09-02 10:42:55	ga_s2bm_ard_3-2-1_53KQT_2022-09-02_final.stac-item
2022-09-07 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2022-09-07_final.stac-item
2022-11-06 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-11-06_final.stac-item
2022-12-31 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2022-12-31_final.stac-item
2023-01-08 13:21:35	ga_s2bm_ard_3-2-1_47LKH_2023-01-08_interim.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2023-01-26_final.stac-item
2023-04-20 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2023-04-20_final.stac-item
2023-06-01 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2023-06-01_final.stac-item
2023-06-27 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-06-27_final.stac-item
2023-07-09 10:43:31	ga_s2bm_ard_3-2-1_53KMR_2023-07-09_final.stac-item
2023-07-18 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2023-07-18_final.stac-item
2023-09-19 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2023-09-19_final.stac-item
2023-11-16 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2023-11-16_final.stac-item
2023-12-15 11:10:28	ga_s2bm_ard_3-2-1_52LGN_2023-12-15_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2024-01-27 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2024-01-27_final.stac-item
2024-02-18 10:24:23	ga_s2bm_ard_3-2-1_53JRM_2024-02-18_final.stac-item
2024-02-21 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2024-02-21_final.stac-item
2024-03-15 10:46:04	ga_s2bm_ard_3-2-1_53HME_2024-03-15_final.stac-item
2024-04-06 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-04-06_final.stac-item
2024-04-07 10:54:46	ga_s2bm_ard_3-2-1_52JFR_2024-04-07_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