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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KBU_2017-07-19_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPK_2017-10-06_final
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LFK_2017-10-07_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53KNV_2017-12-30_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVR_2018-01-01_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50JKM_2018-01-07_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LZC_2018-01-11_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQP_2018-01-14_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53HNC_2018-01-23_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JFN_2018-02-01_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KCE_2018-02-17_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_52LCH_2018-02-27_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53LNC_2018-03-07_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_53JKF_2018-06-08_final.stac-item
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51HWD_2018-06-24_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-03_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXQ_2018-08-06_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53KQQ_2018-10-10_final
2018-11-24 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-11-24_final
2018-11-26 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2018-11-26_final
2019-01-23 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2019-01-23_final
2019-05-24 10:55:13	ga_s2bm_ard_3-2-1_53JLJ_2019-05-24_final
2019-07-05 11:33:11	ga_s2bm_ard_3-2-1_51KYT_2019-07-05_final
2019-07-10 10:42:55	ga_s2bm_ard_3-2-1_53KQT_2019-07-10_final
2019-10-07 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2019-10-07_final
2019-12-12 11:31:23	ga_s2bm_ard_3-2-1_52LBJ_2019-12-12_final
2020-01-05 11:10:52	ga_s2bm_ard_3-2-1_52LGL_2020-01-05_final
2020-01-20 10:26:34	ga_s2bm_ard_3-2-1_53HNC_2020-01-20_final
2020-01-22 11:03:28	ga_s2bm_ard_3-2-1_52KEA_2020-01-22_final
2020-02-06 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2020-02-06_final
2020-02-08 10:50:15	ga_s2bm_ard_3-2-1_53LPH_2020-02-08_final.stac-item
2020-02-08 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2020-02-08_final
2020-03-23 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final
2020-04-12 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2020-04-12_final
2020-05-01 11:05:12	ga_s2bm_ard_3-2-1_52JEP_2020-05-01_final
2020-06-09 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-06-09_final
2020-08-02 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2020-08-02_final
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-19_final
2020-11-03 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-11-03_final
2021-01-04 10:25:04	ga_s2bm_ard_3-2-1_53JQJ_2021-01-04_final
2021-01-06 11:01:40	ga_s2bm_ard_3-2-1_53LKC_2021-01-06_final
2021-01-17 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2021-01-17_final
2021-02-12 10:52:50	ga_s2bm_ard_3-2-1_52KHC_2021-02-12_final
2021-02-12 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2021-02-12_final
2021-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-02-14_final
2021-02-25 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-02-25_final
2021-03-12 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-03-12_final
2021-03-16 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2021-03-16_final
2021-04-14 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-05-22 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-05-22_final
2021-06-11 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final
2021-07-13 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2021-07-13_final
2021-07-13 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2021-07-13_final
2021-08-23 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-08-23_final
2021-08-30 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2021-08-30_final
2021-10-02 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-10-02_final
2021-10-07 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2021-10-07_final
2021-12-26 10:45:39	ga_s2bm_ard_3-2-1_53JKG_2021-12-26_final
2022-01-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-12_final
2022-02-25 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-02-25_final
2022-03-10 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2022-03-10_final
2022-03-17 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2022-03-17_final
2022-04-09 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-04-09_final
2022-05-14 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2022-05-14_final
2022-05-20 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-05-20_final
2022-06-21 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2022-06-21_final
2022-07-03 11:15:38	ga_s2bm_ard_3-2-1_52JCN_2022-07-03_final
2022-07-13 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2022-07-13_final
2022-08-11 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2022-08-11_final
2022-09-09 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-09_final.stac-item
2022-10-17 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-10-17_final.stac-item
2022-10-28 11:01:45	ga_s2bm_ard_3-2-1_52LGH_2022-10-28_final.stac-item
2022-11-01 10:41:33	ga_s2bm_ard_3-2-1_53LQC_2022-11-01_final.stac-item
2022-11-15 10:24:18	ga_s2bm_ard_3-2-1_53JRM_2022-11-15_final.stac-item
2022-12-16 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2022-12-16_final.stac-item
2022-12-30 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2022-12-30_final.stac-item
2023-01-26 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2023-01-26_final.stac-item
2023-02-01 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2023-02-01_final.stac-item
2023-02-05 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2023-02-05_final.stac-item
2023-05-13 10:50:38	ga_s2bm_ard_3-2-1_53LPG_2023-05-13_final.stac-item
2023-05-25 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-05-25_final.stac-item
2023-06-16 10:33:40	ga_s2bm_ard_3-2-1_53KQQ_2023-06-16_final.stac-item
2023-07-01 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-07-01_final.stac-item
2023-07-14 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2023-07-14_final.stac-item
2023-07-26 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-26_final.stac-item
2023-08-17 11:14:00	ga_s2bm_ard_3-2-1_52KBV_2023-08-17_final.stac-item
2023-08-18 10:40:59	ga_s2bm_ard_3-2-1_53LPF_2023-08-18_final.stac-item
2023-08-21 10:51:02	ga_s2bm_ard_3-2-1_53LPF_2023-08-21_final.stac-item
2023-09-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-09-15_final.stac-item
2023-10-03 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-10-03_final.stac-item
2023-12-17 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2023-12-17_final.stac-item
2024-01-13 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2024-01-13_final.stac-item
2024-01-25 10:41:37	ga_s2bm_ard_3-2-1_53LPC_2024-01-25_final.stac-item
2024-02-09 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2024-02-09_final.stac-item
2024-02-12 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2024-02-12_final.stac-item
2024-02-27 10:52:19	ga_s2bm_ard_3-2-1_53KNV_2024-02-27_final.stac-item
2024-03-09 10:26:31	ga_s2bm_ard_3-2-1_53HPC_2024-03-09_final.stac-item
2024-03-09 12:04:25	ga_s2bm_ard_3-2-1_50JMT_2024-03-09_final.stac-item
2024-04-16 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2024-04-16_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