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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVU_2017-07-18_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVH_2017-10-13_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HVC_2017-11-09_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWV_2018-01-01_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JVL_2018-01-28_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPH_2018-03-22_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_53HPB_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JBL_2018-05-12_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51LWC_2018-05-14_final
2018-07-04 11:07:15	ga_s2bm_ard_3-2-1_52KCD_2018-07-04_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JPL_2018-07-15_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KXU_2018-09-05_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KMB_2018-09-14_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVV_2018-10-21_final
2018-11-18 11:01:47	ga_s2bm_ard_3-2-1_52LFH_2018-11-18_final
2018-12-11 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2018-12-11_final
2019-02-05 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-02-05_final
2019-02-09 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2019-02-09_final
2019-02-28 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2019-02-28_final
2019-04-15 10:27:06	ga_s2bm_ard_3-2-1_53HQA_2019-04-15_final
2019-05-03 11:23:14	ga_s2bm_ard_3-2-1_52KBC_2019-05-03_final
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final
2019-06-20 10:45:37	ga_s2bm_ard_3-2-1_53JKH_2019-06-20_final
2019-07-27 10:36:40	ga_s2bm_ard_3-2-1_53HPC_2019-07-27_final
2019-08-17 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-08-17_final
2019-09-22 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2019-09-22_final
2019-09-23 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-09-23_final
2019-10-03 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-10-03_final
2019-10-04 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2019-10-04_final
2019-10-17 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2019-10-17_final
2019-11-12 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-11-12_final
2019-11-22 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2019-11-22_final
2020-01-15 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2020-01-15_final
2020-01-20 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2020-01-20_final
2020-02-10 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2020-02-10_final
2020-02-22 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-02-22_final
2020-02-26 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2020-02-26_final
2020-03-28 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2020-03-28_final
2020-04-17 11:21:34	ga_s2bm_ard_3-2-1_52LBJ_2020-04-17_final
2020-04-30 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-04-30_final
2020-05-31 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2020-05-31_final
2020-06-10 11:03:44	ga_s2bm_ard_3-2-1_52KGV_2020-06-10_final
2020-07-11 10:34:16	ga_s2bm_ard_3-2-1_53JRM_2020-07-11_final
2020-07-22 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2020-07-22_final.stac-item
2020-08-08 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2020-08-08_final
2020-10-01 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2020-10-01_final
2020-11-18 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2020-11-18_final
2020-12-16 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2020-12-16_final
2020-12-26 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2020-12-26_final
2020-12-30 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2020-12-30_final
2021-01-02 11:22:05	ga_s2bm_ard_3-2-1_52KBG_2021-01-02_final
2021-01-04 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-01-04_final
2021-01-26 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2021-01-26_final.stac-item
2021-01-28 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-28_final.stac-item
2021-02-08 11:15:53	ga_s2bm_ard_3-2-1_51JYG_2021-02-08_final
2021-05-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-05-15_final
2021-05-24 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2021-05-24_final
2021-06-14 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-06-14_final
2021-08-15 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-08-15_final
2021-08-17 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2021-08-17_final
2021-08-29 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2021-08-29_final.stac-item
2021-09-12 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-09-12_final
2021-09-21 10:26:58	ga_s2bm_ard_3-2-1_53HQA_2021-09-21_final
2021-10-06 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2021-10-06_final
2021-11-20 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2021-11-20_final
2021-12-18 11:23:14	ga_s2bm_ard_3-2-1_52KBB_2021-12-18_final
2021-12-28 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2021-12-28_final
2021-12-31 11:31:14	ga_s2bm_ard_3-2-1_52LBK_2021-12-31_final
2022-01-13 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-13_final
2022-03-08 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2022-03-08_final
2022-04-11 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2022-04-11_final
2022-04-24 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-04-24_final
2022-05-02 10:33:58	ga_s2bm_ard_3-2-1_53JQN_2022-05-02_final
2022-07-14 10:46:04	ga_s2bm_ard_3-2-1_52JGL_2022-07-14_final
2022-07-29 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2022-07-29_final
2022-08-11 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2022-08-11_final
2022-09-14 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2022-09-14_final.stac-item
2022-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-16_final.stac-item
2022-09-18 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2022-09-18_final.stac-item
2022-09-21 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2022-09-21_final.stac-item
2022-10-27 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-10-27_final.stac-item
2022-10-30 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-10-30_final.stac-item
2022-11-20 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-11-20_interim.stac-item
2023-01-22 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2023-01-22_final.stac-item
2023-02-11 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2023-02-11_final.stac-item
2023-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-02-14_final.stac-item
2023-03-30 11:12:56	ga_s2bm_ard_3-2-1_52KCD_2023-03-30_final.stac-item
2023-04-28 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2023-04-28_final.stac-item
2023-04-29 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-04-29_final.stac-item
2023-06-05 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2023-06-05_final.stac-item
2023-08-17 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-08-17_final.stac-item
2023-08-24 11:04:22	ga_s2bm_ard_3-2-1_52JET_2023-08-24_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-12-17 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2023-12-17_final.stac-item
2023-12-24 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2023-12-24_final.stac-item
2024-01-04 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2024-01-04_final.stac-item
2024-02-03 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-02-03_final.stac-item
2024-02-20 11:01:15	ga_s2bm_ard_3-2-1_52LHK_2024-02-20_final.stac-item
2024-02-23 11:15:14	ga_s2bm_ard_3-2-1_51JYK_2024-02-23_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