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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLB_2017-07-04_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KKA_2017-09-02_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-11-21_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-12-11_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLM_2018-02-06_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQJ_2018-04-01_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2018-04-07_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKN_2018-04-17_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JML_2018-06-06_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KQD_2018-07-16_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNJ_2018-07-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMM_2018-08-05_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JMM_2018-08-15_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPK_2018-09-18_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KNC_2018-10-04_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50JPL_2018-10-28_final
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KPC_2018-11-03_final
2018-12-13 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2018-12-13_final
2019-02-27 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-02-27_final
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final
2019-04-16 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2019-04-16_final
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final
2020-01-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-01-07_final
2020-01-13 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2020-01-13_final
2020-01-17 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2020-01-17_final
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final
2020-02-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2020-02-19_final
2020-04-06 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-04-06_final
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final
2020-04-30 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-04-30_final
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final
2020-05-26 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2020-05-26_final
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final
2020-06-29 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-29_final
2020-06-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-29_final
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-08-27_final
2020-10-23 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-10-23_final
2020-12-06 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-12-06_final.stac-item
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final
2020-12-28 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-12-28_final
2021-01-14 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-01-14_final
2021-02-10 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-02-10_final
2021-02-17 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final
2021-03-05 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-05_final
2021-03-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-03-16_final
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-21 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2021-05-21_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-13 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final
2021-09-02 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-09-02_final.stac-item
2021-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-28_final
2021-11-13 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-11-13_final
2021-11-20 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-11-20_final
2022-01-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-03_final
2022-01-09 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-09_final
2022-01-23 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-01-23_final
2022-02-05 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-02-08 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-02-08_final
2022-02-08 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2022-02-08_final
2022-02-15 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-02-15_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-04-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-04-19_final
2022-04-29 12:05:57	ga_s2bm_ard_3-2-1_50JLM_2022-04-29_final
2022-05-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-05-06_final
2022-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-20_final
2022-08-24 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-08-24_final
2022-09-09 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-09_final.stac-item
2022-09-13 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2022-09-13_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2022-09-16_final.stac-item
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-09-29_final.stac-item
2022-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-11-06_final.stac-item
2022-11-09 13:21:37	ga_s2bm_ard_3-2-1_47LKH_2022-11-09_interim.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-01-24 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-24_final.stac-item
2023-01-31 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-31_final.stac-item
2023-03-19 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-19_final.stac-item
2023-03-22 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-03-22_final.stac-item
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final.stac-item
2023-06-06 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-06_final.stac-item
2023-06-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-06-07_final.stac-item
2023-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-06-14_final.stac-item
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-16_final.stac-item
2023-07-10 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-10_final.stac-item
2023-08-06 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-08-06_final.stac-item
2023-08-09 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-09_final.stac-item
2023-09-28 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-09-28_final.stac-item
2023-11-07 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-11-07_final.stac-item
2023-11-23 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2023-11-23_final.stac-item
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final.stac-item
2023-12-14 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2023-12-14_final.stac-item
2023-12-17 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2023-12-17_final.stac-item
2024-02-28 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-02-28_final.stac-item
2024-03-26 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2024-03-26_final.stac-item
2024-04-08 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-08_final.stac-item
2024-04-12 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-04-12_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