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 11:12:15	ga_s2bm_ard_3-2-1_52KCD_2017-07-09_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_54HUH_2017-08-03_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2017-08-13_final
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53JRM_2017-08-16_final
2017-09-07 11:12:07	ga_s2bm_ard_3-2-1_52KDD_2017-09-07_final
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_53JPL_2017-10-28_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KYU_2018-01-11_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KNU_2018-01-26_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCA_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KYV_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KFB_2018-02-01_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KQU_2018-02-15_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JUH_2018-04-01_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JMF_2018-05-03_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-13_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JBM_2018-05-25_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51LWC_2018-06-13_final
2018-11-10 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2018-11-10_final
2018-11-11 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2018-11-11_final
2018-11-29 10:36:42	ga_s2bm_ard_3-2-1_53HPB_2018-11-29_final
2018-12-03 10:17:06	ga_s2bm_ard_3-2-1_54HVE_2018-12-03_final
2018-12-09 10:36:26	ga_s2bm_ard_3-2-1_53HPC_2018-12-09_final
2018-12-29 10:36:04	ga_s2bm_ard_3-2-1_53HNE_2018-12-29_final
2019-03-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2019-03-10_final
2019-03-29 10:36:26	ga_s2bm_ard_3-2-1_53HMD_2019-03-29_final
2019-03-29 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2019-03-29_final
2019-05-18 10:35:43	ga_s2bm_ard_3-2-1_53JPG_2019-05-18_final
2019-05-25 10:26:53	ga_s2bm_ard_3-2-1_54HTG_2019-05-25_final
2019-06-24 10:27:07	ga_s2bm_ard_3-2-1_54HTF_2019-06-24_final
2019-07-30 10:44:47	ga_s2bm_ard_3-2-1_53JML_2019-07-30_final
2019-08-09 10:46:07	ga_s2bm_ard_3-2-1_52JGL_2019-08-09_final
2019-08-14 11:37:09	ga_s2bm_ard_3-2-1_50HQH_2019-08-14_final
2019-08-17 11:42:15	ga_s2bm_ard_3-2-1_51KWB_2019-08-17_final
2019-11-18 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-11-18_final
2020-02-03 11:41:52	ga_s2bm_ard_3-2-1_51LVC_2020-02-03_final
2020-04-08 10:54:26	ga_s2bm_ard_3-2-1_52JGS_2020-04-08_final
2020-04-21 11:04:27	ga_s2bm_ard_3-2-1_52JES_2020-04-21_final
2020-08-06 10:55:34	ga_s2bm_ard_3-2-1_52JFN_2020-08-06_final
2020-09-26 10:26:39	ga_s2bm_ard_3-2-1_53HPC_2020-09-26_final
2020-10-06 10:27:08	ga_s2bm_ard_3-2-1_53HPA_2020-10-06_final
2020-12-07 11:02:52	ga_s2bm_ard_3-2-1_53KKT_2020-12-07_final
2020-12-09 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final
2020-12-14 10:50:52	ga_s2bm_ard_3-2-1_53LMF_2020-12-14_final
2021-02-08 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2021-02-08_final
2021-02-13 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2021-02-13_final
2021-02-13 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2021-02-13_final
2021-03-05 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2021-03-05_final
2021-04-11 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2021-04-11_final
2021-04-21 10:16:58	ga_s2bm_ard_3-2-1_54HTF_2021-04-21_final
2021-06-03 12:04:07	ga_s2bm_ard_3-2-1_50KMV_2021-06-03_final
2021-06-25 11:02:04	ga_s2bm_ard_3-2-1_53KLA_2021-06-25_final
2021-07-17 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-17_final
2021-08-24 11:02:50	ga_s2bm_ard_3-2-1_52KED_2021-08-24_final
2021-10-01 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2021-10-01_final
2021-10-16 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2021-10-16_final
2021-11-02 11:04:01	ga_s2bm_ard_3-2-1_52KFU_2021-11-02_final
2021-11-19 10:50:32	ga_s2bm_ard_3-2-1_53LPG_2021-11-19_final
2021-11-22 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2021-11-22_final
2022-01-27 11:22:06	ga_s2bm_ard_3-2-1_52KDF_2022-01-27_final
2022-01-31 11:04:27	ga_s2bm_ard_3-2-1_52JES_2022-01-31_final
2022-02-03 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2022-02-03_final
2022-02-08 10:26:12	ga_s2bm_ard_3-2-1_53HQD_2022-02-08_final
2022-03-27 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2022-03-27_final
2022-05-01 11:03:39	ga_s2bm_ard_3-2-1_52KFV_2022-05-01_final
2022-05-06 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-05-06_final
2022-05-23 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-05-23_final
2022-05-29 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2022-05-29_final
2022-05-30 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2022-05-30_final
2022-06-13 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2022-06-13_final
2022-07-26 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2022-07-26_final
2022-09-20 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-09-20_final.stac-item
2022-11-23 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-11-23_final.stac-item
2022-11-28 10:31:49	ga_s2bm_ard_3-2-1_53KRB_2022-11-28_final.stac-item
2023-01-03 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-01-03_final.stac-item
2023-01-27 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-27_final.stac-item
2023-01-29 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2023-01-29_final.stac-item
2023-02-11 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2023-02-11_final.stac-item
2023-02-12 10:50:46	ga_s2bm_ard_3-2-1_53LLG_2023-02-12_final.stac-item
2023-02-13 10:26:49	ga_s2bm_ard_3-2-1_53HPB_2023-02-13_final.stac-item
2023-03-04 10:51:59	ga_s2bm_ard_3-2-1_53KLB_2023-03-04_final.stac-item
2023-03-12 10:16:25	ga_s2bm_ard_3-2-1_54HTJ_2023-03-12_final.stac-item
2023-03-28 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-03-28_final.stac-item
2023-04-05 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-04-05_final.stac-item
2023-04-20 10:44:05	ga_s2bm_ard_3-2-1_53JPN_2023-04-20_final.stac-item
2023-06-28 11:12:33	ga_s2bm_ard_3-2-1_52KFE_2023-06-28_final.stac-item
2023-07-03 10:25:40	ga_s2bm_ard_3-2-1_53JQG_2023-07-03_final.stac-item
2023-08-30 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2023-08-30_final.stac-item
2023-09-01 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-09-01_final.stac-item
2023-10-14 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2023-10-14_final.stac-item
2023-11-27 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-11-27_nrt.stac-item
2024-01-07 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-01-07_final.stac-item
2024-01-14 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2024-01-14_final.stac-item
2024-02-04 10:43:21	ga_s2bm_ard_3-2-1_53KNR_2024-02-04_final.stac-item
2024-02-12 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2024-02-12_final.stac-item
2024-03-05 10:41:59	ga_s2bm_ard_3-2-1_53KQA_2024-03-05_final.stac-item
2024-03-07 11:21:49	ga_s2bm_ard_3-2-1_51LZC_2024-03-07_final.stac-item
2024-03-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2024-03-10_final.stac-item
2024-03-14 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2024-03-14_final.stac-item
2024-03-18 10:51:13	ga_s2bm_ard_3-2-1_53LLE_2024-03-18_final.stac-item
2024-05-26 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2024-05-26_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