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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXT_2017-11-22_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JNN_2018-02-22_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51LWG_2018-03-15_final.stac-item
2018-05-28 11:16:56	ga_s2bm_ard_3-2-1_52LDJ_2018-05-28_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KBV_2018-06-24_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKM_2018-08-15_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWU_2018-08-29_final
2018-10-02 11:07:11	ga_s2bm_ard_3-2-1_52LGN_2018-10-02_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53JQN_2018-10-10_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53JKG_2018-11-05_final
2018-11-07 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2018-11-07_final
2018-11-08 11:02:43	ga_s2bm_ard_3-2-1_52KHC_2018-11-08_final
2018-11-27 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2018-11-27_final
2019-01-01 10:45:48	ga_s2bm_ard_3-2-1_53JKF_2019-01-01_final
2019-01-19 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-01-19_final
2019-02-12 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-02-12_final
2019-02-15 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-15_final
2019-04-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2019-04-09_final
2019-05-06 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-05-06_final
2019-05-27 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-05-27_final
2019-06-18 11:41:26	ga_s2bm_ard_3-2-1_51LUF_2019-06-18_final
2019-07-25 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-07-25_final
2019-08-21 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2019-08-21_final
2019-09-03 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2019-09-03_final
2019-10-05 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2019-10-05_final
2019-10-23 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-10-23_final
2019-12-02 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2019-12-02_final
2019-12-17 10:44:01	ga_s2bm_ard_3-2-1_53JNN_2019-12-17_final
2019-12-28 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2019-12-28_final
2019-12-29 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2019-12-29_final
2020-01-14 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2020-01-14_final
2020-04-14 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2020-04-14_final
2020-04-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-04-20_final
2020-04-27 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2020-04-27_final
2020-04-29 10:24:00	ga_s2bm_ard_3-2-1_53JRN_2020-04-29_final
2020-06-08 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2020-06-08_final
2020-06-21 10:34:16	ga_s2bm_ard_3-2-1_53JRM_2020-06-21_final
2020-07-13 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2020-07-13_final
2020-07-28 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-07-28_final
2020-08-10 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-08-10_final
2020-08-28 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-08-28_final
2020-10-20 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-20_final
2020-10-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-10-30_final
2020-10-31 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-10-31_final.stac-item
2020-11-16 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2020-11-16_final
2020-11-18 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2020-11-18_final
2020-12-10 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2020-12-10_final
2020-12-27 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2020-12-27_final
2021-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-01-02_final
2021-02-04 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-02-04_final
2021-02-14 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2021-02-14_final
2021-02-18 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2021-02-18_final
2021-03-10 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2021-03-10_final
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final
2021-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-06-17_final.stac-item
2021-06-18 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2021-06-18_final
2021-06-19 10:45:56	ga_s2bm_ard_3-2-1_53JLF_2021-06-19_final
2021-07-09 10:46:08	ga_s2bm_ard_3-2-1_53HME_2021-07-09_final
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final
2021-10-22 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2021-10-22_final
2021-10-25 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-25_final
2021-11-23 10:36:14	ga_s2bm_ard_3-2-1_53HPD_2021-11-23_final
2021-12-16 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2021-12-16_final
2022-01-04 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2022-01-04_final
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final
2022-02-11 10:33:58	ga_s2bm_ard_3-2-1_53JQN_2022-02-11_final
2022-03-04 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2022-03-04_final
2022-04-17 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2022-04-17_final
2022-06-03 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2022-06-03_final
2022-06-18 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2022-06-18_final
2022-06-21 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2022-06-21_final
2022-07-16 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2022-07-16_final
2022-08-07 10:26:55	ga_s2bm_ard_3-2-1_53HPB_2022-08-07_final
2022-08-15 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2022-08-15_final
2022-10-11 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2022-10-11_final.stac-item
2022-10-14 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2022-10-14_final.stac-item
2022-11-23 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2022-11-23_final.stac-item
2023-01-06 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2023-01-06_final.stac-item
2023-04-25 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-04-25_final.stac-item
2023-05-02 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-05-02_final.stac-item
2023-05-27 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-05-27_final.stac-item
2023-06-12 10:53:59	ga_s2bm_ard_3-2-1_53KLP_2023-06-12_final.stac-item
2023-06-18 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2023-06-18_final.stac-item
2023-07-06 10:34:19	ga_s2bm_ard_3-2-1_53JRM_2023-07-06_final.stac-item
2023-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-06_final.stac-item
2023-07-09 10:46:20	ga_s2bm_ard_3-2-1_52HGK_2023-07-09_final.stac-item
2023-08-13 11:34:11	ga_s2bm_ard_3-2-1_51KXP_2023-08-13_final.stac-item
2023-09-27 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2023-09-27_final.stac-item
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final.stac-item
2023-12-13 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-12-13_final.stac-item
2024-01-04 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-01-04_final.stac-item
2024-01-21 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2024-01-21_final.stac-item
2024-01-31 11:02:22	ga_s2bm_ard_3-2-1_53KKV_2024-01-31_final.stac-item
2024-03-31 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2024-03-31_final.stac-item
2024-04-01 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2024-04-01_final.stac-item
2024-04-12 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-04-12_final.stac-item
2024-04-28 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2024-04-28_final.stac-item
2024-05-04 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2024-05-04_final.stac-item
2024-05-06 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2024-05-06_final.stac-item
2024-05-30 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2024-05-30_nrt.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