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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLM_2017-07-11_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JPR_2017-07-31_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JFN_2017-09-05_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLT_2017-11-21_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HXD_2018-01-08_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMG_2018-01-24_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPK_2018-02-03_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPJ_2018-03-02_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKN_2018-03-11_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HNK_2018-05-07_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQH_2018-05-24_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGL_2018-06-02_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-19_final
2018-12-07 11:34:44	ga_s2bm_ard_3-2-1_50JRS_2018-12-07_final
2019-01-05 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-01-05_final
2019-01-22 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-01-22_final
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final
2019-04-22 11:56:36	ga_s2bm_ard_3-2-1_50HNK_2019-04-22_final
2019-05-18 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-05-18_final
2019-06-05 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-06-05_final
2019-07-31 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-07-31_final
2019-08-03 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-08-03_final
2019-08-06 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-08-06_final
2019-08-10 11:53:24	ga_s2bm_ard_3-2-1_50KQC_2019-08-10_final
2019-10-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2019-10-06_final
2019-10-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-10-12_final
2019-10-19 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-19_final.stac-item
2019-11-08 11:53:03	ga_s2bm_ard_3-2-1_50KQD_2019-11-08_final.stac-item
2019-11-14 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-11-14_final
2019-12-19 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2019-12-19_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-31_final.stac-item
2020-02-12 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-02-12_final
2020-02-14 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2020-02-14_final
2020-03-03 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-03_final
2020-03-04 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-03-04_final
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-13_final
2020-04-06 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2020-04-06_final
2020-04-26 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2020-04-26_final
2020-04-29 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2020-04-29_final
2020-07-28 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-07-28_final
2020-09-17 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-09-17_final
2020-09-23 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2020-09-23_final.stac-item
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final
2021-02-07 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-02-07_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-03-15 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2021-03-15_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-06-10 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-06-10_final
2021-06-17 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2021-06-17_final
2021-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-06-17_final.stac-item
2021-06-20 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-20_final
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final
2021-07-30 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2021-07-30_final
2021-10-12 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-10-12_final
2021-10-15 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-10-15_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final
2021-11-27 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2021-11-27_final
2021-12-28 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2021-12-28_final
2022-01-10 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2022-01-10_final
2022-02-15 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-02-15_final
2022-02-26 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2022-02-26_final
2022-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-03-17_final
2022-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-04-16_final
2022-04-26 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-04-26_final.stac-item
2022-06-21 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2022-06-21_final
2022-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-08_final
2022-07-08 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-08_final
2022-07-25 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2022-07-25_final
2022-08-30 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2022-08-30_final
2022-08-31 11:44:24	ga_s2bm_ard_3-2-1_50KPU_2022-08-31_final
2022-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-16_final.stac-item
2022-11-06 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2022-11-06_final.stac-item
2022-11-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-11-15_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2022-12-23 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-12-23_final.stac-item
2023-01-05 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-05_final.stac-item
2023-01-11 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2023-01-11_final.stac-item
2023-01-25 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2023-01-25_final.stac-item
2023-02-16 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-02-16_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final.stac-item
2023-04-07 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-04-07_final.stac-item
2023-04-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-04-08_final.stac-item
2023-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-04-14_final.stac-item
2023-05-11 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-05-11_final.stac-item
2023-05-19 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-05-19_final.stac-item
2023-06-03 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2023-06-03_final.stac-item
2023-07-20 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-07-20_final.stac-item
2023-07-31 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-07-31_final.stac-item
2023-09-12 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-12_final.stac-item
2023-09-21 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2023-09-21_final.stac-item
2023-12-10 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2023-12-10_final.stac-item
2023-12-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2023-12-15_final.stac-item
2023-12-21 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-12-21_final.stac-item
2023-12-30 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2023-12-30_final.stac-item
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2024-05-02_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