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
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_54GYA_2017-07-02_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KBU_2017-11-29_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JNF_2017-12-14_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53JKM_2017-12-30_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KUT_2018-01-01_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KQR_2018-01-26_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYH_2018-02-04_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53KMP_2018-04-06_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53LPG_2018-05-09_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-06-22_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51HUE_2018-06-27_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HVC_2018-07-07_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KCV_2018-08-13_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HQB_2018-08-18_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KXS_2018-09-18_final
2018-11-11 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2018-11-11_final
2018-11-29 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2018-11-29_final
2018-12-17 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2018-12-17_final
2019-01-14 10:50:41	ga_s2bm_ard_3-2-1_53LMG_2019-01-14_final
2019-01-27 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2019-01-27_final
2019-02-17 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2019-02-17_final
2019-02-18 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-02-18_final
2019-03-24 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-03-24_final
2019-04-28 10:34:21	ga_s2bm_ard_3-2-1_53JNN_2019-04-28_final
2019-06-05 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-06-05_final
2019-06-15 11:32:54	ga_s2bm_ard_3-2-1_51KVV_2019-06-15_final
2019-07-08 11:45:38	ga_s2bm_ard_3-2-1_51JTJ_2019-07-08_final
2019-07-17 10:33:47	ga_s2bm_ard_3-2-1_53KPQ_2019-07-17_final
2019-09-12 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2019-09-12_final
2019-09-25 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2019-09-25_final
2019-12-03 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2019-12-03_final
2019-12-26 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2019-12-26_final
2020-01-12 11:02:53	ga_s2bm_ard_3-2-1_52KGC_2020-01-12_final
2020-01-16 10:45:52	ga_s2bm_ard_3-2-1_53JKF_2020-01-16_final
2020-01-24 11:42:02	ga_s2bm_ard_3-2-1_51KWB_2020-01-24_final
2020-02-03 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-02-03_final
2020-02-07 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2020-02-07_final
2020-04-29 10:26:28	ga_s2bm_ard_3-2-1_53HQC_2020-04-29_final
2020-05-24 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2020-05-24_final
2020-05-28 10:52:21	ga_s2bm_ard_3-2-1_53KNV_2020-05-28_final
2020-06-30 11:03:01	ga_s2bm_ard_3-2-1_52KGC_2020-06-30_final
2020-06-30 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-06-30_final
2020-08-13 10:45:35	ga_s2bm_ard_3-2-1_53JNG_2020-08-13_final
2020-09-16 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-09-16_final
2020-09-29 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2020-09-29_final
2020-10-06 10:26:39	ga_s2bm_ard_3-2-1_53HPC_2020-10-06_final
2020-10-08 11:01:05	ga_s2bm_ard_3-2-1_53LLE_2020-10-08_final
2020-10-17 11:34:36	ga_s2bm_ard_3-2-1_51JUN_2020-10-17_final
2020-11-03 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-11-03_final
2020-11-03 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-11-03_final
2020-11-12 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2020-11-12_final
2020-12-10 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2020-12-10_final
2021-01-13 10:52:05	ga_s2bm_ard_3-2-1_53KNA_2021-01-13_final
2021-02-02 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-02-02_final
2021-02-09 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2021-02-09_final
2021-02-23 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-02-23_final
2021-03-11 10:40:53	ga_s2bm_ard_3-2-1_53LPF_2021-03-11_final
2021-06-12 10:53:58	ga_s2bm_ard_3-2-1_52KHU_2021-06-12_final
2021-06-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-27_final
2021-08-14 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2021-08-14_final
2021-09-08 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-08_final
2021-09-17 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2021-09-17_final
2021-10-17 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2021-10-17_final
2021-10-28 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2021-10-28_final
2021-12-27 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2021-12-27_final
2021-12-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-12-30_final
2022-01-31 11:00:53	ga_s2bm_ard_3-2-1_52LHL_2022-01-31_final
2022-01-31 11:02:14	ga_s2bm_ard_3-2-1_52KFF_2022-01-31_final
2022-02-11 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2022-02-11_final
2022-03-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2022-03-01_final
2022-04-13 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-04-13_final
2022-04-22 12:13:43	ga_s2bm_ard_3-2-1_50KKA_2022-04-22_final
2022-07-01 10:34:18	ga_s2bm_ard_3-2-1_53JNN_2022-07-01_final
2022-08-06 10:50:39	ga_s2bm_ard_3-2-1_53LPG_2022-08-06_final
2022-08-07 10:26:22	ga_s2bm_ard_3-2-1_53HQD_2022-08-07_final
2022-09-04 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2022-09-04_final.stac-item
2022-09-24 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2022-09-24_final.stac-item
2022-10-27 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-10-27_final.stac-item
2022-11-24 10:53:35	ga_s2bm_ard_3-2-1_53KMQ_2022-11-24_final.stac-item
2022-12-06 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-12-06_final.stac-item
2022-12-26 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-12-26_final.stac-item
2023-01-17 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-17_final.stac-item
2023-01-17 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-17_final.stac-item
2023-02-04 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2023-02-04_final.stac-item
2023-02-05 11:04:11	ga_s2bm_ard_3-2-1_52JET_2023-02-05_final.stac-item
2023-02-09 10:41:58	ga_s2bm_ard_3-2-1_53KRA_2023-02-09_final.stac-item
2023-02-18 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2023-02-18_final.stac-item
2023-02-24 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2023-02-24_final.stac-item
2023-04-03 10:53:35	ga_s2bm_ard_3-2-1_52KGA_2023-04-03_final.stac-item
2023-07-06 10:35:06	ga_s2bm_ard_3-2-1_53JQJ_2023-07-06_final.stac-item
2023-08-03 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2023-08-03_final.stac-item
2023-08-10 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2023-08-10_final.stac-item
2023-10-10 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2023-10-10_final.stac-item
2023-12-03 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2023-12-03_final.stac-item
2023-12-06 10:44:25	ga_s2bm_ard_3-2-1_53JPL_2023-12-06_final.stac-item
2024-01-16 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-01-16_final.stac-item
2024-02-01 10:34:33	ga_s2bm_ard_3-2-1_53JPL_2024-02-01_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-04-12_final.stac-item
2024-04-12 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2024-04-12_final.stac-item
2024-04-20 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2024-04-20_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