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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KED_2017-07-09_final
2017-11-20 10:55:15	ga_s2bm_ard_3-2-1_52JGN_2017-11-20_final
2017-12-20 10:53:02	ga_s2bm_ard_3-2-1_52KGB_2017-12-20_final
2017-12-23 11:02:47	ga_s2bm_ard_3-2-1_52HBK_2017-12-23_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KEA_2017-12-26_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWH_2017-12-29_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_53HQB_2018-01-07_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KUS_2018-01-11_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JEN_2018-01-12_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-01-31_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JQF_2018-02-02_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KNU_2018-02-15_final
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JCM_2018-03-03_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HUC_2018-04-11_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-10-10_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51KXP_2018-10-25_final
2018-11-11 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2018-11-11_final
2019-04-17 11:06:05	ga_s2bm_ard_3-2-1_52JEL_2019-04-17_final
2019-05-04 10:52:23	ga_s2bm_ard_3-2-1_53KKA_2019-05-04_final
2019-06-11 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-06-11_final
2019-07-13 10:55:33	ga_s2bm_ard_3-2-1_53JKH_2019-07-13_final
2019-07-15 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-07-15_final
2019-08-25 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2019-08-25_final
2019-10-27 11:11:28	ga_s2bm_ard_3-2-1_52LGJ_2019-10-27_final
2019-10-28 10:41:42	ga_s2bm_ard_3-2-1_53LNC_2019-10-28_final
2019-11-28 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2019-11-28_final
2020-01-22 11:00:38	ga_s2bm_ard_3-2-1_52LHM_2020-01-22_final
2020-02-10 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2020-02-10_final
2020-02-14 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2020-02-14_final
2020-03-01 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-01_final
2020-04-11 11:00:57	ga_s2bm_ard_3-2-1_53LKF_2020-04-11_final
2020-04-23 11:46:42	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-05-05 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-05-05_final
2020-05-10 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2020-05-10_final
2020-05-21 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2020-05-21_final
2020-05-23 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2020-05-23_final.stac-item
2020-06-11 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-06-11_final
2020-08-06 10:52:44	ga_s2bm_ard_3-2-1_53KLU_2020-08-06_final
2020-08-10 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-08-10_final
2020-12-18 10:33:45	ga_s2bm_ard_3-2-1_53KQP_2020-12-18_final
2021-03-23 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2021-03-23_final
2021-04-07 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2021-04-07_final
2021-04-08 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2021-04-08_final
2021-06-06 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2021-06-06_final
2021-07-17 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2021-07-17_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-08-16_final
2021-08-28 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2021-08-28_final
2021-09-12 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2021-09-12_final
2021-09-12 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-12_final
2021-09-14 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2021-09-14_final
2021-09-14 10:36:28	ga_s2bm_ard_3-2-1_53HPC_2021-09-14_final
2021-10-01 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-10-01_final
2021-11-28 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2021-11-28_final
2021-12-13 10:33:47	ga_s2bm_ard_3-2-1_53KPP_2021-12-13_final
2021-12-22 11:00:23	ga_s2bm_ard_3-2-1_53LKH_2021-12-22_final
2022-01-23 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-01-23_final
2022-02-11 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2022-02-11_final
2022-02-13 11:15:01	ga_s2bm_ard_3-2-1_52JBQ_2022-02-13_final
2022-02-13 11:15:51	ga_s2bm_ard_3-2-1_51JXG_2022-02-13_final
2022-02-26 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2022-02-26_final
2022-03-16 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2022-03-16_final
2022-04-12 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2022-04-12_final
2022-04-27 11:24:26	ga_s2bm_ard_3-2-1_52JBS_2022-04-27_final
2022-05-02 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2022-05-02_final
2022-05-04 11:14:48	ga_s2bm_ard_3-2-1_52JBR_2022-05-04_final
2022-05-15 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2022-05-15_final
2022-07-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-07-29_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final
2022-09-07 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-07_final.stac-item
2022-10-02 10:43:54	ga_s2bm_ard_3-2-1_53KMP_2022-10-02_final.stac-item
2022-10-02 10:44:38	ga_s2bm_ard_3-2-1_53JML_2022-10-02_final.stac-item
2022-10-21 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2022-10-21_final.stac-item
2022-10-28 11:01:49	ga_s2bm_ard_3-2-1_52LFH_2022-10-28_final.stac-item
2022-12-05 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-12-05_final.stac-item
2022-12-14 10:56:02	ga_s2bm_ard_3-2-1_52JEL_2022-12-14_final.stac-item
2023-01-09 11:13:04	ga_s2bm_ard_3-2-1_52KCC_2023-01-09_final.stac-item
2023-01-29 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2023-01-29_final.stac-item
2023-02-17 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-02-17_final.stac-item
2023-03-08 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2023-03-08_final.stac-item
2023-03-29 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2023-03-29_final.stac-item
2023-03-29 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-03-29_final.stac-item
2023-04-02 11:22:04	ga_s2bm_ard_3-2-1_52KDG_2023-04-02_final.stac-item
2023-05-17 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-05-17_final.stac-item
2023-06-18 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-06-18_final.stac-item
2023-07-03 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-07-03_final.stac-item
2023-08-03 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-08-03_final.stac-item
2023-08-03 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-08-03_final.stac-item
2023-08-31 10:55:32	ga_s2bm_ard_3-2-1_52JGN_2023-08-31_final.stac-item
2023-10-28 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2023-10-28_final.stac-item
2023-11-04 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-11-04_final.stac-item
2024-01-24 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2024-01-24_final.stac-item
2024-01-26 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2024-01-26_final.stac-item
2024-02-10 11:00:42	ga_s2bm_ard_3-2-1_52LGM_2024-02-10_final.stac-item
2024-02-25 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2024-02-25_final.stac-item
2024-03-07 11:25:47	ga_s2bm_ard_3-2-1_51JXG_2024-03-07_final.stac-item
2024-03-22 10:32:19	ga_s2bm_ard_3-2-1_53KRV_2024-03-22_final.stac-item
2024-03-31 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2024-03-31_final.stac-item
2024-04-29 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2024-04-29_final.stac-item
2024-05-02 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-05-02_final.stac-item
2024-05-30 11:03:27	ga_s2bm_ard_3-2-1_52KGA_2024-05-30_nrt.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