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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KRC_2017-07-31_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KUQ_2017-08-14_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKS_2017-09-22_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52JCM_2017-11-23_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JDS_2017-12-06_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HWD_2018-03-19_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2018-03-19_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53HND_2018-05-03_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JYF_2018-05-25_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGM_2018-06-02_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXJ_2018-06-07_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBV_2018-06-14_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50JQL_2018-08-29_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JQM_2018-10-01_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKM_2018-10-17_final
2018-11-21 11:15:49	ga_s2bm_ard_3-2-1_51JYG_2018-11-21_final
2018-11-30 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2018-11-30_final
2018-11-30 11:42:27	ga_s2bm_ard_3-2-1_51KUA_2018-11-30_final
2018-12-16 10:26:55	ga_s2bm_ard_3-2-1_53HQA_2018-12-16_final
2018-12-16 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2018-12-16_final
2019-01-20 11:15:18	ga_s2bm_ard_3-2-1_52JCP_2019-01-20_final
2019-03-04 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2019-03-04_final
2019-03-09 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2019-03-09_final
2019-03-28 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2019-03-28_final
2019-04-13 11:25:00	ga_s2bm_ard_3-2-1_51JXL_2019-04-13_final
2019-04-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-04-29_final
2019-05-15 12:05:31	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-08-14 11:36:30	ga_s2bm_ard_3-2-1_51HVE_2019-08-14_final
2019-09-21 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2019-09-21_final
2019-09-23 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2019-09-23_final
2019-10-27 11:11:02	ga_s2bm_ard_3-2-1_52LGL_2019-10-27_final
2019-12-16 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2019-12-16_final
2020-01-20 10:26:30	ga_s2bm_ard_3-2-1_53HPC_2020-01-20_final
2020-02-07 11:24:58	ga_s2bm_ard_3-2-1_51JVL_2020-02-07_final
2020-02-26 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-02-26_final
2020-04-01 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2020-04-01_final
2020-05-06 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-05-06_final
2020-05-07 11:23:51	ga_s2bm_ard_3-2-1_51KYQ_2020-05-07_final
2020-05-09 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-05-09_final
2020-05-27 11:22:10	ga_s2bm_ard_3-2-1_51KZB_2020-05-27_final
2020-06-13 11:14:34	ga_s2bm_ard_3-2-1_52JDS_2020-06-13_final
2020-06-18 12:04:13	ga_s2bm_ard_3-2-1_50KLV_2020-06-18_final
2020-07-02 11:43:53	ga_s2bm_ard_3-2-1_50KQA_2020-07-02_final
2020-07-06 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-07-06_final
2020-07-19 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2020-07-19_final
2020-07-19 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2020-07-19_final
2020-09-05 10:54:24	ga_s2bm_ard_3-2-1_52JFT_2020-09-05_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-17 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2020-09-17_final
2020-09-21 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2020-09-21_final
2020-10-05 10:53:32	ga_s2bm_ard_3-2-1_52KHA_2020-10-05_final
2020-12-07 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2020-12-07_final
2020-12-20 11:11:08	ga_s2bm_ard_3-2-1_52LGK_2020-12-20_final
2020-12-22 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-12-22_final
2021-02-23 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2021-02-23_final
2021-04-09 11:15:39	ga_s2bm_ard_3-2-1_51JXH_2021-04-09_final
2021-04-23 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2021-04-23_final
2021-05-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-05-18_final
2021-05-23 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2021-05-23_final
2021-06-01 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2021-06-01_final
2021-07-22 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2021-07-22_final
2021-08-16 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2021-08-16_final
2021-09-25 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-09-25_final
2021-10-08 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-10-08_final
2021-10-12 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-10-12_final
2021-10-12 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-10-12_final
2021-12-11 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2021-12-11_final
2021-12-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-20_final
2022-01-17 11:24:18	ga_s2bm_ard_3-2-1_51JYN_2022-01-17_final
2022-01-27 11:25:39	ga_s2bm_ard_3-2-1_51JYG_2022-01-27_final
2022-02-02 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-02_final
2022-02-13 11:16:02	ga_s2bm_ard_3-2-1_51JYF_2022-02-13_final
2022-02-23 11:12:33	ga_s2bm_ard_3-2-1_52KCE_2022-02-23_final
2022-03-31 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2022-03-31_final
2022-04-09 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2022-04-09_final
2022-05-23 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2022-05-23_final
2022-06-16 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2022-06-16_final
2022-08-01 11:46:02	ga_s2bm_ard_3-2-1_51JTG_2022-08-01_final
2022-09-01 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2022-09-01_final.stac-item
2022-09-10 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2022-09-10_final.stac-item
2022-10-01 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2022-10-01_final.stac-item
2022-10-08 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2022-10-08_final.stac-item
2022-10-30 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2022-10-30_final.stac-item
2022-11-20 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2022-11-20_final.stac-item
2023-01-20 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-20_final.stac-item
2023-01-22 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2023-01-22_final.stac-item
2023-02-25 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2023-02-25_final.stac-item
2023-02-26 10:36:59	ga_s2bm_ard_3-2-1_53HPA_2023-02-26_final.stac-item
2023-03-29 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2023-03-29_final.stac-item
2023-04-26 11:03:33	ga_s2bm_ard_3-2-1_52KFA_2023-04-26_final.stac-item
2023-06-17 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-06-17_final.stac-item
2023-07-08 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2023-07-08_final.stac-item
2023-10-16 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2023-10-16_final.stac-item
2023-12-08 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-12-08_final.stac-item
2023-12-15 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2023-12-15_final.stac-item
2023-12-18 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2023-12-18_final.stac-item
2024-02-23 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2024-02-23_final.stac-item
2024-03-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2024-03-10_final.stac-item
2024-03-10 11:36:24	ga_s2bm_ard_3-2-1_51HUE_2024-03-10_final.stac-item
2024-03-13 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-03-13_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