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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLJ_2017-09-29_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JDL_2017-11-13_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_53JLL_2017-11-30_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53HPD_2017-12-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVS_2018-01-14_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGH_2018-02-24_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51LZC_2018-03-19_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HQK_2018-07-03_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKM_2018-07-19_final
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JNF_2018-07-22_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTE_2018-08-09_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JPN_2018-08-24_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50JRS_2018-08-29_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JQM_2018-10-01_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HUD_2018-10-18_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51HXD_2018-11-01_final
2018-12-14 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2018-12-14_final
2019-01-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-01-06_final
2019-01-11 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2019-01-11_final
2019-03-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2019-03-04_final
2019-04-17 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2019-04-17_final
2019-07-29 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-12-05 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2019-12-05_final
2019-12-16 11:15:50	ga_s2bm_ard_3-2-1_51JXG_2019-12-16_final
2019-12-19 11:23:01	ga_s2bm_ard_3-2-1_52KBC_2019-12-19_final
2020-01-02 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2020-01-02_final
2020-01-05 11:14:30	ga_s2bm_ard_3-2-1_52JCS_2020-01-05_final
2020-03-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-20_final
2020-06-13 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2020-06-13_final
2020-06-13 11:14:05	ga_s2bm_ard_3-2-1_52KDU_2020-06-13_final
2020-06-20 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2020-06-20_final
2020-07-13 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2020-07-13_final
2020-09-17 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-09-17_final
2020-09-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-09-30_final.stac-item
2020-10-26 10:26:39	ga_s2bm_ard_3-2-1_53HPC_2020-10-26_final
2020-11-20 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2020-11-20_final
2020-12-10 11:11:24	ga_s2bm_ard_3-2-1_52LEJ_2020-12-10_final
2020-12-21 10:44:20	ga_s2bm_ard_3-2-1_53JMM_2020-12-21_final
2021-01-04 10:26:06	ga_s2bm_ard_3-2-1_53HPE_2021-01-04_final
2021-01-05 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-01-05_final
2021-01-12 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-01-12_final
2021-01-26 11:03:23	ga_s2bm_ard_3-2-1_52KGA_2021-01-26_final
2021-02-09 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2021-02-09_final
2021-02-13 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2021-02-13_final
2021-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2021-02-14_final
2021-03-03 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-03-03_final
2021-05-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-05-14_final
2021-05-17 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2021-05-17_final
2021-06-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-03_final
2021-06-04 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-06-04_final
2021-06-11 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-06-11_final
2021-06-26 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2021-06-26_final
2021-07-03 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2021-07-03_final
2021-07-13 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2021-07-13_final
2021-07-22 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2021-07-22_final
2021-07-23 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2021-07-23_final
2021-07-31 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2021-07-31_final
2021-08-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-08-15_final
2021-09-24 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2021-09-24_final
2021-10-19 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-19_final
2021-10-30 10:53:02	ga_s2bm_ard_3-2-1_53KKT_2021-10-30_final
2021-11-13 10:36:45	ga_s2bm_ard_3-2-1_53HPB_2021-11-13_final
2022-01-31 11:03:50	ga_s2bm_ard_3-2-1_52KGU_2022-01-31_final
2022-03-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2022-03-28_final
2022-04-24 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2022-04-24_final
2022-04-27 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2022-04-27_final
2022-06-19 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2022-06-19_final
2022-08-01 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-08-01_final
2022-08-31 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2022-08-31_final
2022-09-04 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-09-04_final.stac-item
2022-09-16 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2022-09-16_final.stac-item
2022-09-30 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2022-09-30_final.stac-item
2022-10-02 10:41:51	ga_s2bm_ard_3-2-1_53KPB_2022-10-02_final.stac-item
2022-10-21 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2022-10-21_final.stac-item
2022-10-28 11:04:20	ga_s2bm_ard_3-2-1_52JDT_2022-10-28_final.stac-item
2022-11-13 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2022-11-13_final.stac-item
2022-11-21 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2022-11-21_final.stac-item
2022-12-05 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-12-05_final.stac-item
2022-12-09 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-12-09_final.stac-item
2023-02-12 10:51:55	ga_s2bm_ard_3-2-1_53KKB_2023-02-12_final.stac-item
2023-02-21 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2023-02-21_final.stac-item
2023-03-10 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-03-10_final.stac-item
2023-03-10 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-03-10_final.stac-item
2023-04-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-04-08_final.stac-item
2023-06-06 10:35:10	ga_s2bm_ard_3-2-1_53JPJ_2023-06-06_final.stac-item
2023-06-17 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-06-17_final.stac-item
2023-06-17 11:44:10	ga_s2bm_ard_3-2-1_50KQV_2023-06-17_final.stac-item
2023-06-18 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2023-06-18_final.stac-item
2023-07-02 10:54:24	ga_s2bm_ard_3-2-1_52JGT_2023-07-02_final.stac-item
2023-07-04 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2023-07-04_final.stac-item
2023-12-09 10:55:31	ga_s2bm_ard_3-2-1_52JEN_2023-12-09_final.stac-item
2024-01-04 11:14:50	ga_s2bm_ard_3-2-1_52JCR_2024-01-04_final.stac-item
2024-01-05 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2024-01-05_final.stac-item
2024-01-11 11:01:44	ga_s2bm_ard_3-2-1_52LGH_2024-01-11_final.stac-item
2024-01-14 11:11:50	ga_s2bm_ard_3-2-1_52LDH_2024-01-14_final.stac-item
2024-01-20 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2024-01-20_final.stac-item
2024-02-17 10:52:28	ga_s2bm_ard_3-2-1_53KLV_2024-02-17_final.stac-item
2024-03-07 11:24:31	ga_s2bm_ard_3-2-1_51JYM_2024-03-07_final.stac-item
2024-03-07 11:25:15	ga_s2bm_ard_3-2-1_51JYJ_2024-03-07_final.stac-item
2024-03-27 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2024-03-27_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