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_50JPR_2017-07-11_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2017-08-13_final
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HNG_2017-11-05_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWB_2017-12-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KPB_2017-12-28_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVT_2018-01-14_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KUT_2018-01-21_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYM_2018-01-25_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-02-02_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUS_2018-02-13_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQK_2018-03-02_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQH_2018-04-11_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUD_2018-06-20_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-06-23_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JKP_2018-10-14_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_50KKA_2018-10-30_final
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2018-11-16_final
2018-12-17 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2018-12-17_final
2018-12-31 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2018-12-31_final.stac-item
2019-01-05 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2019-01-05_final
2019-01-09 11:44:05	ga_s2bm_ard_3-2-1_50KRU_2019-01-09_final
2019-01-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-15_final
2019-01-19 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2019-01-19_final
2019-02-11 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-02-11_final
2019-02-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-02-18_final
2019-04-06 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2019-04-06_final
2019-05-08 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-08_final
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-15_final
2019-05-16 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-16_final
2019-06-02 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-02_final
2019-07-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-07-27_final
2019-07-31 11:55:10	ga_s2bm_ard_3-2-1_50JPR_2019-07-31_final
2019-08-24 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2019-08-24_final
2019-09-20 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2019-09-20_final
2019-10-06 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-10-06_final
2019-10-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-13_final
2019-10-23 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2019-10-23_final
2019-10-26 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2019-10-26_final
2019-11-02 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-11-02_final
2019-11-12 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-11-12_final
2019-12-12 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-12_final
2019-12-28 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2019-12-28_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-02-10 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2020-02-10_final
2020-03-08 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-03-08_final
2020-04-29 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-29_final
2020-07-02 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-07-02_final
2020-07-08 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2020-07-08_final
2020-08-21 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2020-08-21_final
2020-08-27 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-08-27_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_50KKA_2020-09-16_final
2020-09-20 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2020-09-20_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-19 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2020-11-19_final
2021-01-05 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-01-05_final
2021-01-08 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-01-08_final
2021-01-29 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2021-01-29_final
2021-02-07 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-02-07_final
2021-02-14 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-02-14_final
2021-03-05 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-03-05_final
2021-05-25 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-05-25_final
2021-05-28 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2021-05-28_final
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final
2021-06-17 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-06-17_final
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final
2021-07-14 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2021-07-14_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-10-16 11:14:57	ga_s2bm_ard_3-2-1_51JYL_2021-10-16_final
2021-10-19 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2021-10-19_final
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final
2021-11-04 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-11-04_final
2021-12-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-10_final
2022-01-20 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2022-01-20_final.stac-item
2022-03-08 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2022-03-08_final
2022-05-20 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2022-05-20_final
2022-07-26 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2022-07-26_final
2022-08-01 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-08-01_final
2022-10-03 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-10-03_final.stac-item
2022-10-26 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-10-26_final.stac-item
2022-11-23 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-11-23_final.stac-item
2023-01-18 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2023-01-18_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-27_final.stac-item
2023-04-05 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-04-05_final.stac-item
2023-05-08 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2023-05-08_final.stac-item
2023-06-07 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-06-07_final.stac-item
2023-07-14 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-07-14_final.stac-item
2023-07-30 11:55:44	ga_s2bm_ard_3-2-1_50JMP_2023-07-30_final.stac-item
2023-08-03 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-08-03_final.stac-item
2023-09-12 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-09-12_final.stac-item
2023-09-12 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-09-12_final.stac-item
2023-12-01 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-12-01_final.stac-item
2024-02-12 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2024-02-12_final.stac-item
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2024-03-12_final.stac-item
2024-03-20 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2024-03-20_final.stac-item
2024-03-20 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2024-03-20_final.stac-item
2024-04-12 11:42:57	ga_s2bm_ard_3-2-1_51KVU_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