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 12:04:34	ga_s2bm_ard_3-2-1_50JKN_2017-07-04_final
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-15_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-02-09_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JXH_2018-02-17_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRD_2018-02-23_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HUE_2018-03-19_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HPK_2018-05-31_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KMC_2018-09-14_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2018-10-07_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUS_2018-10-28_final
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final
2018-11-27 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2018-11-27_final
2019-04-19 11:43:06	ga_s2bm_ard_3-2-1_51KUU_2019-04-19_final
2019-06-21 11:52:45	ga_s2bm_ard_3-2-1_50KPF_2019-06-21_final.stac-item
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final
2019-08-27 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2019-08-27_final
2019-09-16 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-09-16_final
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2020-02-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2020-02-19_final
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final.stac-item
2020-03-24 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-03-24_final
2020-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-24_final.stac-item
2020-05-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-06_final
2020-06-28 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-06-28_final
2020-08-02 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2020-08-02_final.stac-item
2020-08-22 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2020-08-22_final
2020-11-29 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2020-11-29_final
2020-12-03 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2020-12-03_final
2020-12-20 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-12-20_final
2021-01-08 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-01-08_final
2021-01-28 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-01-28_final
2021-02-06 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-06_final
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-03-05_final
2021-04-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-04-01_final.stac-item
2021-05-12 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-05-22 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-05-22_final
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final.stac-item
2021-06-13 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final
2021-06-18 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-18_final
2021-06-18 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-06-18_final
2021-07-03 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-03_final.stac-item
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final
2021-07-31 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2021-07-31_final
2021-08-10 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-08-10_final
2021-09-12 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-09-12_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-09-15 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-09-15_final
2021-10-02 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-02_final
2021-10-05 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-10-05_final
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2021-11-04_final
2021-11-08 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-11-08_final
2021-11-21 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2021-11-21_final
2021-11-28 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2021-11-28_final
2021-12-08 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2021-12-08_final
2022-02-22 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-02-22_final
2022-04-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-04-02_final
2022-05-03 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-05-03_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-05-09_final
2022-06-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-06-02_final
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final.stac-item
2022-06-12 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2022-06-12_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-18_final
2022-07-22 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2022-07-22_final
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final
2022-10-09 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-10-09_final.stac-item
2022-10-10 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-10-10_final.stac-item
2022-10-20 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-10-20_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-12-25_final.stac-item
2023-02-07 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-07_final.stac-item
2023-02-24 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2023-02-24_final.stac-item
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final.stac-item
2023-05-02 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-05-02_final.stac-item
2023-05-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-05-05_final.stac-item
2023-05-12 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-05-12_final.stac-item
2023-06-14 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-06-14_final.stac-item
2023-06-27 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-27_final.stac-item
2023-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-07_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-30 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-30_final.stac-item
2023-08-12 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-08-12_final.stac-item
2023-09-05 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-09-05_final.stac-item
2023-10-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-10-05_final.stac-item
2023-10-25 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-10-25_final.stac-item
2023-11-04 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-11-04_final.stac-item
2023-11-11 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-11-11_final.stac-item
2023-11-24 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2023-11-24_final.stac-item
2023-12-17 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2023-12-17_final.stac-item
2023-12-27 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final.stac-item
2024-01-13 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2024-01-13_final.stac-item
2024-01-20 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2024-01-20_final.stac-item
2024-02-01 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-02-01_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final.stac-item
2024-02-15 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2024-02-15_final.stac-item
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2024-03-27_final.stac-item
2024-04-03 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2024-04-03_final.stac-item
2024-04-23 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2024-04-23_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