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
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_52JGL_2017-11-10_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52LBH_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52LBJ_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52LCH_2017-12-29_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHK_2018-01-02_final
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52LFK_2018-01-15_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JWG_2018-01-28_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52LHK_2018-03-03_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHA_2018-03-10_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KEU_2018-05-22_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_53HQE_2018-06-19_final
2018-12-27 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-12-27_final
2019-01-20 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2019-01-20_final
2019-03-06 10:26:01	ga_s2bm_ard_3-2-1_53HQE_2019-03-06_final
2019-03-14 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2019-03-14_final
2019-03-24 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2019-03-24_final
2019-04-15 10:26:23	ga_s2bm_ard_3-2-1_53HQD_2019-04-15_final
2019-05-24 10:55:50	ga_s2bm_ard_3-2-1_52JGM_2019-05-24_final
2019-06-18 11:42:10	ga_s2bm_ard_3-2-1_51LUC_2019-06-18_final.stac-item
2019-07-11 11:55:04	ga_s2bm_ard_3-2-1_50JMS_2019-07-11_final
2019-07-26 11:05:39	ga_s2bm_ard_3-2-1_52JEN_2019-07-26_final
2019-09-17 11:11:33	ga_s2bm_ard_3-2-1_52LEJ_2019-09-17_final
2019-11-01 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2019-11-01_final
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final
2020-01-08 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2020-01-08_final
2020-01-11 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2020-01-11_final
2020-02-04 11:11:09	ga_s2bm_ard_3-2-1_52LFK_2020-02-04_final
2020-02-19 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-02-19_final
2020-04-17 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2020-04-17_final
2020-04-17 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-04-17_final
2020-05-09 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-05-09_final
2020-05-09 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-05-09_final
2020-05-09 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2020-05-09_final
2020-05-10 11:37:14	ga_s2bm_ard_3-2-1_51HTB_2020-05-10_final.stac-item
2020-05-21 11:01:14	ga_s2bm_ard_3-2-1_52LHK_2020-05-21_final
2020-05-24 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2020-05-24_final
2020-05-24 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2020-05-24_final
2020-05-24 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2020-05-24_final
2020-05-25 10:44:57	ga_s2bm_ard_3-2-1_53JLK_2020-05-25_final
2020-05-27 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2020-05-27_final
2020-06-02 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2020-06-02_final
2020-07-04 10:44:12	ga_s2bm_ard_3-2-1_53JMN_2020-07-04_final
2020-07-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-05_final
2020-08-01 11:41:18	ga_s2bm_ard_3-2-1_51LVF_2020-08-01_final
2020-08-07 10:26:21	ga_s2bm_ard_3-2-1_53HQD_2020-08-07_final
2020-10-05 10:54:15	ga_s2bm_ard_3-2-1_53JKN_2020-10-05_final
2020-10-05 10:54:29	ga_s2bm_ard_3-2-1_52JHS_2020-10-05_final
2020-10-05 10:54:30	ga_s2bm_ard_3-2-1_53JKM_2020-10-05_final
2020-10-19 10:35:23	ga_s2bm_ard_3-2-1_53JPH_2020-10-19_final
2020-11-27 11:00:59	ga_s2bm_ard_3-2-1_52LHL_2020-11-27_final
2020-12-20 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2020-12-20_final
2021-02-05 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-02-05_final
2021-02-15 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2021-02-15_final
2021-03-20 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2021-03-20_final.stac-item
2021-05-23 10:54:59	ga_s2bm_ard_3-2-1_52JGQ_2021-05-23_final
2021-05-23 10:55:13	ga_s2bm_ard_3-2-1_52JGP_2021-05-23_final
2021-05-23 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2021-05-23_final
2021-06-18 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-18_final
2021-06-18 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2021-06-18_final
2021-08-06 11:42:03	ga_s2bm_ard_3-2-1_51LUC_2021-08-06_final.stac-item
2022-01-01 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2022-01-01_final
2022-01-04 11:11:01	ga_s2bm_ard_3-2-1_52LEL_2022-01-04_final.stac-item
2022-01-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-16_final
2022-01-18 10:54:07	ga_s2bm_ard_3-2-1_52JHT_2022-01-18_final
2022-01-18 10:54:07	ga_s2bm_ard_3-2-1_53JKN_2022-01-18_final
2022-01-23 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2022-01-23_final
2022-01-31 11:01:37	ga_s2bm_ard_3-2-1_52LHH_2022-01-31_final
2022-02-20 11:05:25	ga_s2bm_ard_3-2-1_52JEN_2022-02-20_final
2022-02-20 11:05:43	ga_s2bm_ard_3-2-1_52JDM_2022-02-20_final
2022-03-28 11:25:54	ga_s2bm_ard_3-2-1_51JWG_2022-03-28_final
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-06-18_final
2022-07-28 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-28_final
2022-12-23 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2022-12-23_final.stac-item
2022-12-27 11:00:58	ga_s2bm_ard_3-2-1_52LHL_2022-12-27_final.stac-item
2022-12-27 11:02:00	ga_s2bm_ard_3-2-1_52KGG_2022-12-27_final.stac-item
2022-12-27 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2022-12-27_final.stac-item
2023-01-19 11:12:18	ga_s2bm_ard_3-2-1_52KDF_2023-01-19_final.stac-item
2023-01-19 11:12:33	ga_s2bm_ard_3-2-1_52KDE_2023-01-19_final.stac-item
2023-01-22 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2023-01-22_final.stac-item
2023-01-26 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2023-01-26_final.stac-item
2023-01-26 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2023-01-26_final.stac-item
2023-02-01 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2023-02-01_final.stac-item
2023-02-01 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2023-02-01_final.stac-item
2023-04-09 11:11:50	ga_s2bm_ard_3-2-1_52LEH_2023-04-09_final.stac-item
2023-04-13 10:54:30	ga_s2bm_ard_3-2-1_52JGS_2023-04-13_final.stac-item
2023-06-19 10:45:45	ga_s2bm_ard_3-2-1_53JLG_2023-06-19_final.stac-item
2023-08-25 12:14:20	ga_s2bm_ard_3-2-1_49KFQ_2023-08-25_nrt.stac-item
2023-12-08 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-12-08_final.stac-item
2024-01-21 11:01:42	ga_s2bm_ard_3-2-1_52LHH_2024-01-21_final.stac-item
2024-01-21 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2024-01-21_final.stac-item
2024-01-23 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2024-01-23_final.stac-item
2024-02-20 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2024-02-20_final.stac-item
2024-02-22 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-02-22_final.stac-item
2024-03-01 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2024-03-01_final.stac-item
2024-03-01 11:01:40	ga_s2bm_ard_3-2-1_52LHH_2024-03-01_final.stac-item
2024-03-09 12:01:01	ga_s2bm_ard_3-2-1_50LPM_2024-03-09_nrt.stac-item
2024-04-02 11:41:28	ga_s2bm_ard_3-2-1_51LVE_2024-04-02_final.stac-item
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_final.stac-item
2024-05-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-05-12_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