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_50JKP_2017-07-31_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPP_2017-08-20_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JRS_2017-11-15_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLL_2017-11-18_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-11-21_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JQL_2017-11-25_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JNL_2017-12-05_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-01-20_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HPK_2018-01-21_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-01-23_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLN_2018-02-16_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQH_2018-03-12_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2018-04-07_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLN_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JMM_2018-04-24_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_50KKA_2018-05-03_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNS_2018-08-05_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HLH_2018-08-15_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLP_2018-10-14_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JNN_2018-10-24_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLJ_2018-11-03_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLL_2018-11-03_final
2018-11-30 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2018-11-30_final
2018-12-19 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2018-12-19_final
2019-01-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-01-16_final
2019-02-11 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-11_final
2019-03-10 11:46:23	ga_s2bm_ard_3-2-1_50JML_2019-03-10_final
2019-08-13 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2019-08-13_final
2019-08-16 12:15:17	ga_s2bm_ard_3-2-1_49JGL_2019-08-16_final
2019-09-05 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-09-05_final
2019-09-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2019-09-16_final
2019-09-23 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-09-23_final.stac-item
2019-10-03 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-10-03_final
2019-10-29 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-10-29_final
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final
2019-12-11 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2019-12-11_final
2019-12-31 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-31_final
2020-02-26 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2020-02-26_final
2020-03-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-03-30_final
2020-05-13 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2020-05-13_final
2020-05-16 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2020-05-16_final.stac-item
2020-06-02 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-06-02_final.stac-item
2020-06-12 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2020-06-12_final
2020-08-01 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-08-01_final
2020-10-13 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-13_final
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final
2020-11-15 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2020-11-15_final
2020-11-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-11-15_final
2020-12-05 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-12-05_final
2020-12-09 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-12-09_final
2021-02-07 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2021-02-07_final
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final
2021-04-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-04-14_final
2021-04-18 11:44:44	ga_s2bm_ard_3-2-1_50JQS_2021-04-18_final
2021-04-28 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-28_final
2021-06-17 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-06-17_final
2021-07-16 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2021-07-16_final
2021-08-06 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-08-06_final
2021-08-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-08-06_final.stac-item
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final
2021-09-15 11:46:15	ga_s2bm_ard_3-2-1_50JPL_2021-09-15_final
2021-09-15 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2021-09-15_final
2021-11-14 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-11-14_final
2022-01-06 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-01-06_final
2022-01-26 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-01-26_final
2022-02-05 11:55:41	ga_s2bm_ard_3-2-1_50JNN_2022-02-05_final
2022-02-08 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-02-08_final
2022-03-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-03-17_final
2022-04-06 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-04-06_final
2022-07-01 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-01_final
2022-07-15 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2022-07-15_final
2022-09-10 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2022-09-10_final.stac-item
2022-10-09 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-10-09_final.stac-item
2022-10-20 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-10-20_final.stac-item
2022-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-09_final.stac-item
2022-11-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-11-15_final.stac-item
2022-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-12-12_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2022-12-15_final.stac-item
2022-12-15 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-12-15_final.stac-item
2023-01-01 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-01-01_final.stac-item
2023-02-07 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-02-07_final.stac-item
2023-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-03-05_final.stac-item
2023-03-12 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-03-12_final.stac-item
2023-05-17 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-17_final.stac-item
2023-05-17 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-05-17_final.stac-item
2023-06-23 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-06-23_final.stac-item
2023-07-13 12:03:31	ga_s2bm_ard_3-2-1_50KLC_2023-07-13_final.stac-item
2023-07-14 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-07-14_final.stac-item
2023-08-23 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-08-23_final.stac-item
2023-09-01 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2023-09-01_final.stac-item
2023-09-18 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-09-18_final.stac-item
2023-10-31 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2023-10-31_final.stac-item
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final.stac-item
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final.stac-item
2024-02-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2024-02-15_final.stac-item
2024-02-15 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2024-02-15_final.stac-item
2024-03-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-03-23_final.stac-item
2024-05-18 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2024-05-18_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