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
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LEJ_2017-12-26_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KXT_2018-01-08_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52KBF_2018-01-08_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KRC_2018-01-17_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51LWG_2018-02-23_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVU_2018-03-05_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JPL_2018-03-12_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWQ_2018-05-08_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52KHF_2018-05-09_final
2018-05-11 11:26:19	ga_s2bm_ard_3-2-1_51KWV_2018-05-11_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KYU_2018-08-16_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50KKB_2018-08-18_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNM_2018-08-21_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JKF_2018-09-03_final
2018-12-04 11:22:47	ga_s2bm_ard_3-2-1_52KBD_2018-12-04_final
2018-12-20 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2018-12-20_final
2019-02-08 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-02-08_final
2019-03-17 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2019-03-17_final
2019-03-24 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-03-24_final
2019-03-30 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2019-03-30_final
2019-05-06 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-06_final
2019-06-29 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-06-29_final
2019-07-02 11:23:29	ga_s2bm_ard_3-2-1_52KBB_2019-07-02_final
2019-09-13 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-09-13_final
2019-11-02 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-11-02_final
2019-11-09 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2019-11-09_final
2019-12-16 11:14:03	ga_s2bm_ard_3-2-1_52KBU_2019-12-16_final
2020-01-13 10:34:02	ga_s2bm_ard_3-2-1_53JPN_2020-01-13_final
2020-01-31 11:32:43	ga_s2bm_ard_3-2-1_51KYU_2020-01-31_final
2020-01-31 11:33:08	ga_s2bm_ard_3-2-1_51KVT_2020-01-31_final
2020-01-31 11:33:26	ga_s2bm_ard_3-2-1_51KUS_2020-01-31_final
2020-03-31 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2020-03-31_final
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final
2020-04-12 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2020-04-12_final
2020-04-14 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2020-04-14_final.stac-item
2020-05-30 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-05-30_final
2020-06-10 11:03:01	ga_s2bm_ard_3-2-1_52KGC_2020-06-10_final
2020-07-06 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2020-07-06_final
2020-07-19 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-07-19_final
2020-07-29 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-07-29_final
2020-08-15 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2020-08-15_final
2020-08-28 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-08-28_final
2020-09-21 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-09-21_final
2020-10-24 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-10-24_final
2021-01-06 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2021-01-06_final
2021-02-01 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2021-02-01_final
2021-02-05 11:04:10	ga_s2bm_ard_3-2-1_52JGT_2021-02-05_final
2021-03-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-03-10_final
2021-04-17 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2021-04-17_final
2021-04-18 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-04-18_final
2021-05-09 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2021-05-09_final
2021-06-07 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-06-07_final
2021-07-30 11:56:24	ga_s2bm_ard_3-2-1_50JML_2021-07-30_final
2021-08-05 10:35:42	ga_s2bm_ard_3-2-1_53JMG_2021-08-05_final
2021-08-13 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-08-13_final
2021-08-27 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2021-08-27_final
2021-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final.stac-item
2021-10-22 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-10-22_final
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final
2022-02-19 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2022-02-19_final
2022-03-10 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2022-03-10_final
2022-03-31 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-03-31_final
2022-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2022-05-20_final
2022-06-11 10:34:39	ga_s2bm_ard_3-2-1_53JPL_2022-06-11_final
2022-07-06 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-07-06_final
2022-07-20 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2022-07-20_final
2022-07-29 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-07-29_final
2022-09-01 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2022-09-01_final.stac-item
2022-11-09 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2022-11-09_final.stac-item
2022-12-08 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2022-12-08_final.stac-item
2022-12-26 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2023-01-25 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2023-01-25_final.stac-item
2023-01-30 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2023-01-30_final.stac-item
2023-03-03 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-03-03_final.stac-item
2023-03-19 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2023-03-19_final.stac-item
2023-04-04 10:25:09	ga_s2bm_ard_3-2-1_53JQJ_2023-04-04_final.stac-item
2023-05-28 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-05-28_final.stac-item
2023-06-08 11:13:30	ga_s2bm_ard_3-2-1_52KBB_2023-06-08_final.stac-item
2023-09-29 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2023-09-29_final.stac-item
2023-10-22 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-22_final.stac-item
2023-11-08 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2023-11-08_final.stac-item
2023-11-12 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2023-11-12_final.stac-item
2023-12-04 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2023-12-04_final.stac-item
2023-12-27 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-12-27_final.stac-item
2024-01-13 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2024-01-13_final.stac-item
2024-01-16 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-01-16_final.stac-item
2024-02-06 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-02-06_final.stac-item
2024-02-08 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2024-02-08_final.stac-item
2024-02-09 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2024-02-09_final.stac-item
2024-02-29 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2024-02-29_final.stac-item
2024-03-06 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2024-03-06_final.stac-item
2024-03-07 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2024-03-07_final.stac-item
2024-03-14 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2024-03-14_final.stac-item
2024-03-19 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2024-03-19_final.stac-item
2024-03-27 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2024-03-27_final.stac-item
2024-04-09 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2024-04-09_final.stac-item
2024-04-13 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-04-13_final.stac-item
2024-04-16 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2024-04-16_final.stac-item
2024-05-11 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2024-05-11_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