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
2017-09-04 11:02:04	ga_s2bm_ard_3-2-1_52KHF_2017-09-04_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_50JQP_2017-09-23_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQB_2017-12-08_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWV_2018-01-31_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JEN_2018-03-10_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53JKM_2018-03-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUN_2018-04-11_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPH_2018-04-14_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51JYF_2018-04-15_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_53HQB_2018-04-20_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KUT_2018-06-10_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNL_2018-06-26_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWQ_2018-07-20_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JYH_2018-08-23_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWR_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWR_2018-10-08_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JGL_2018-11-05_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JHS_2018-11-05_final
2018-11-10 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2018-11-10_final
2019-01-27 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2019-01-27_final
2019-01-30 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-01-30_final
2019-02-02 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2019-02-02_final
2019-03-03 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2019-03-03_final
2019-03-24 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2019-03-24_final
2019-09-05 10:36:13	ga_s2bm_ard_3-2-1_53HME_2019-09-05_final
2019-09-24 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2019-09-24_final
2019-09-27 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2019-09-27_final
2019-12-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-25_final
2020-03-31 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2020-03-31_final
2020-04-04 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2020-04-04_final
2020-04-20 11:35:18	ga_s2bm_ard_3-2-1_51JVJ_2020-04-20_final
2020-04-27 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2020-04-27_final
2020-04-27 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2020-04-27_final
2020-05-13 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2020-05-13_final
2020-05-20 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2020-05-20_final
2020-05-25 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2020-05-25_final
2020-05-30 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-05-30_final
2020-07-03 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-07-03_final
2020-07-11 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2020-07-11_final
2020-08-05 11:24:03	ga_s2bm_ard_3-2-1_51KXQ_2020-08-05_final
2020-09-17 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-09-17_final
2020-10-17 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-10-17_final
2020-10-22 10:45:17	ga_s2bm_ard_3-2-1_53JKJ_2020-10-22_final
2020-10-24 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2020-10-24_final
2020-11-19 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2020-11-19_final
2020-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final
2020-12-27 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2020-12-27_final
2021-01-15 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-01-15_final
2021-01-16 11:04:24	ga_s2bm_ard_3-2-1_52JGS_2021-01-16_final
2021-03-12 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-03-12_final
2021-03-13 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2021-03-13_final
2021-05-04 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-05-04_final
2021-05-08 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2021-05-08_final
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final
2021-05-25 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2021-05-25_final
2021-05-28 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2021-05-28_final
2021-06-11 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-06-11_final
2021-06-20 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2021-06-20_final
2021-08-09 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-08-09_final
2021-08-10 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-08-10_final
2021-08-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-08-10_final
2021-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2021-09-02_final
2021-09-12 11:35:04	ga_s2bm_ard_3-2-1_51JWK_2021-09-12_final
2021-10-15 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-15_final
2021-11-04 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2021-11-04_final
2021-11-14 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2021-11-14_final
2021-11-21 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-11-21_final
2021-12-13 10:36:04	ga_s2bm_ard_3-2-1_53HME_2021-12-13_final
2022-01-27 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2022-01-27_final
2022-02-06 11:22:41	ga_s2bm_ard_3-2-1_52KCD_2022-02-06_final
2022-03-01 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-03-01_final
2022-03-05 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2022-03-05_final
2022-03-08 11:21:35	ga_s2bm_ard_3-2-1_52LDJ_2022-03-08_final
2022-03-21 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-03-21_final
2022-05-04 11:15:05	ga_s2bm_ard_3-2-1_51JYK_2022-05-04_final.stac-item
2022-05-31 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-05-31_final
2022-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-09-19_final.stac-item
2022-10-21 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-10-21_final.stac-item
2022-10-27 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-10-27_final.stac-item
2023-01-09 11:14:28	ga_s2bm_ard_3-2-1_52JDS_2023-01-09_final.stac-item
2023-02-04 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2023-02-04_final.stac-item
2023-03-23 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-03-23_final.stac-item
2023-04-02 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2023-04-02_final.stac-item
2023-05-14 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2023-05-14_final.stac-item
2023-06-28 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-06-28_final.stac-item
2023-07-30 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-07-30_final.stac-item
2023-08-04 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2023-08-04_final.stac-item
2023-11-08 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-11-08_final.stac-item
2023-12-18 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2023-12-18_final.stac-item
2024-01-31 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2024-01-31_final.stac-item
2024-02-13 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2024-02-13_final.stac-item
2024-03-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2024-03-03_final.stac-item
2024-03-04 11:12:13	ga_s2bm_ard_3-2-1_52KEF_2024-03-04_final.stac-item
2024-03-04 11:13:58	ga_s2bm_ard_3-2-1_52KDU_2024-03-04_final.stac-item
2024-03-07 11:22:17	ga_s2bm_ard_3-2-1_52KBF_2024-03-07_final.stac-item
2024-03-19 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2024-03-19_final.stac-item
2024-03-24 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-03-24_final.stac-item
2024-04-13 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2024-04-13_final.stac-item
2024-04-16 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2024-04-16_final.stac-item
2024-04-22 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-04-22_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