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_50JML_2017-07-31_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLQ_2017-08-13_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNM_2017-08-27_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHR_2017-10-22_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-11-21_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HUD_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KQA_2018-01-17_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-20_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-01-23_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGJ_2018-03-21_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2018-04-07_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNK_2018-04-14_final
2018-04-17 11:46:06	ga_s2bm_ard_3-2-1_50KQF_2018-04-17_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-05-14_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HUC_2018-06-30_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNJ_2018-07-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPK_2018-07-03_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JFM_2018-09-10_final
2018-12-16 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2018-12-16_final
2019-01-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-01-02_final
2019-01-26 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-01-26_final
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-02-24_final.stac-item
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-04-19 11:46:29	ga_s2bm_ard_3-2-1_50JNL_2019-04-19_final
2019-06-15 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-06-15_final
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2019-08-26_final
2019-09-03 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-09-03_final
2019-12-25 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2019-12-25_final
2020-01-04 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2020-01-04_final
2020-01-20 12:05:31	ga_s2bm_ard_3-2-1_50JLP_2020-01-20_final
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final
2020-02-04 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2020-02-04_final
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-13_final
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final
2020-03-27 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-27_final.stac-item
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final
2020-04-30 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2020-04-30_final
2020-05-02 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2020-05-02_final
2020-05-17 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2020-05-17_final
2020-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-06-02_final
2020-07-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-07-11_final
2020-07-19 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-07-19_final
2020-08-04 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-08-04_final.stac-item
2020-09-13 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-09-13_final.stac-item
2020-10-06 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2020-10-06_final
2020-10-26 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2020-10-26_final
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final
2020-12-12 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2020-12-12_final
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_final
2021-01-11 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-11_final
2021-04-18 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-18_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-06-10 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-10_final
2021-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-01_final
2021-07-07 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-07-07_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-21 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2021-07-21_final
2021-07-30 11:56:24	ga_s2bm_ard_3-2-1_50JML_2021-07-30_final
2021-10-12 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-10-12_final
2021-10-14 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-28_final
2021-11-30 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2021-11-30_final
2021-12-08 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-08_final
2021-12-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2021-12-24_final
2021-12-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-12-27_final
2022-01-22 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2022-01-22_final
2022-02-28 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-02-28_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-03-30_final
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final
2022-05-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-05-23_final
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final
2022-08-10 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2022-08-10_final
2022-10-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2022-10-09_final.stac-item
2022-10-20 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-10-20_final.stac-item
2022-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-12-18 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-12-18_final.stac-item
2022-12-25 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-12-25_final.stac-item
2023-01-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-07_final.stac-item
2023-01-15 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-01-15_final.stac-item
2023-01-21 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2023-01-21_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-06-26 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-06-26_final.stac-item
2023-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-07_final.stac-item
2023-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2023-07-27_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-10-08 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-10-08_final.stac-item
2023-10-31 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-31_final.stac-item
2023-11-07 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-11-07_final.stac-item
2023-12-17 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-12-17_final.stac-item
2024-01-04 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-01-04_final.stac-item
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-09_final.stac-item
2024-02-08 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-02-08_final.stac-item
2024-02-13 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2024-02-13_final.stac-item
2024-02-15 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2024-02-15_final.stac-item
2024-02-25 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2024-02-25_final.stac-item
2024-04-09 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-04-09_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