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
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKM_2017-09-02_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HUH_2017-09-09_final
2017-10-08 10:37:12	ga_s2bm_ard_3-2-1_53KMU_2017-10-08_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LWC_2017-11-25_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-01-20_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXD_2018-01-31_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53KQV_2018-02-12_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51JVF_2018-03-12_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53KQP_2018-04-23_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JFN_2018-06-08_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KXP_2018-06-10_final
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53JQM_2018-08-01_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HVC_2018-09-25_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JKN_2018-10-14_final
2018-11-21 11:15:51	ga_s2bm_ard_3-2-1_51JXG_2018-11-21_final
2018-12-12 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2018-12-12_final
2019-02-10 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2019-02-10_final
2019-05-14 10:54:30	ga_s2bm_ard_3-2-1_52JFT_2019-05-14_final
2019-06-09 11:15:47	ga_s2bm_ard_3-2-1_51JYH_2019-06-09_final
2019-06-17 10:33:57	ga_s2bm_ard_3-2-1_53KQP_2019-06-17_final
2019-07-04 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-07-04_final
2019-07-12 11:25:47	ga_s2bm_ard_3-2-1_51JXH_2019-07-12_final
2019-09-15 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2019-09-15_final
2019-10-03 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-10-03_final
2019-10-08 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2019-10-08_final
2019-11-21 10:24:37	ga_s2bm_ard_3-2-1_53JQL_2019-11-21_final
2019-11-21 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2019-11-21_final
2019-11-21 10:26:42	ga_s2bm_ard_3-2-1_54HTG_2019-11-21_final
2020-01-08 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2020-01-08_final
2020-02-01 11:03:46	ga_s2bm_ard_3-2-1_52KDV_2020-02-01_final
2020-02-27 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2020-02-27_final
2020-03-23 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2020-03-23_final
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final
2020-08-07 10:26:10	ga_s2bm_ard_3-2-1_53HPE_2020-08-07_final
2020-08-07 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-08-07_final
2020-08-13 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2020-08-13_final
2020-08-30 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2020-08-30_final
2020-09-13 10:16:36	ga_s2bm_ard_3-2-1_54HTH_2020-09-13_final
2020-09-29 10:35:37	ga_s2bm_ard_3-2-1_53JPG_2020-09-29_final
2020-10-04 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-10-04_final
2020-10-09 10:35:05	ga_s2bm_ard_3-2-1_53JQJ_2020-10-09_final
2020-10-26 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2020-10-26_final
2020-11-07 11:02:35	ga_s2bm_ard_3-2-1_52KFE_2020-11-07_final
2020-11-28 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2020-11-28_final
2020-11-30 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2020-11-30_final
2020-12-24 10:52:53	ga_s2bm_ard_3-2-1_53KLT_2020-12-24_final
2021-02-11 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2021-02-11_final
2021-03-20 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2021-03-20_final
2021-03-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-29_final
2021-04-12 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2021-04-12_final
2021-05-05 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2021-05-05_final
2021-06-26 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-06-26_final
2021-07-13 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2021-07-13_final
2021-08-22 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-08-22_final
2021-10-03 11:04:55	ga_s2bm_ard_3-2-1_52JCR_2021-10-03_final
2021-10-09 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-10-09_final
2021-11-01 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-11-01_final
2021-11-08 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2021-11-08_final
2021-11-20 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2021-11-20_final
2022-01-31 11:04:37	ga_s2bm_ard_3-2-1_52JFR_2022-01-31_final
2022-02-03 11:16:00	ga_s2bm_ard_3-2-1_52JBL_2022-02-03_final
2022-03-28 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2022-03-28_final
2022-03-30 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2022-03-30_final
2022-04-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-04-23_final
2022-04-27 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2022-04-27_final
2022-04-27 11:25:35	ga_s2bm_ard_3-2-1_51JWH_2022-04-27_final
2022-05-24 11:15:12	ga_s2bm_ard_3-2-1_52JDP_2022-05-24_final
2022-06-30 11:01:19	ga_s2bm_ard_3-2-1_52LHK_2022-06-30_final
2022-08-28 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2022-08-28_final
2022-08-30 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2022-08-30_final
2022-10-01 11:11:38	ga_s2bm_ard_3-2-1_52LFH_2022-10-01_final.stac-item
2023-01-02 11:21:34	ga_s2bm_ard_3-2-1_52LCJ_2023-01-02_final.stac-item
2023-01-09 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2023-01-09_final.stac-item
2023-01-23 10:50:40	ga_s2bm_ard_3-2-1_53LMG_2023-01-23_final.stac-item
2023-02-10 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2023-02-10_final.stac-item
2023-02-25 11:00:58	ga_s2bm_ard_3-2-1_53LKF_2023-02-25_final.stac-item
2023-02-26 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2023-02-26_final.stac-item
2023-03-11 10:41:39	ga_s2bm_ard_3-2-1_53LQC_2023-03-11_final.stac-item
2023-03-28 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-03-28_final.stac-item
2023-04-11 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-04-11_nrt.stac-item
2023-04-13 10:54:11	ga_s2bm_ard_3-2-1_53JKN_2023-04-13_final.stac-item
2023-04-27 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2023-04-27_final.stac-item
2023-06-04 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-04_final.stac-item
2023-06-13 10:26:59	ga_s2bm_ard_3-2-1_53HNB_2023-06-13_final.stac-item
2023-06-21 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2023-06-21_final.stac-item
2023-08-23 09:58:10	ga_s2bm_ard_3-2-1_54GYA_2023-08-23_final.stac-item
2023-08-29 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-08-29_nrt.stac-item
2023-09-29 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2023-09-29_final.stac-item
2023-11-30 10:26:27	ga_s2bm_ard_3-2-1_54HTH_2023-11-30_final.stac-item
2024-01-04 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2024-01-04_final.stac-item
2024-01-19 10:23:50	ga_s2bm_ard_3-2-1_53KRP_2024-01-19_final.stac-item
2024-01-23 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2024-01-23_final.stac-item
2024-03-02 10:35:13	ga_s2bm_ard_3-2-1_53JQH_2024-03-02_final.stac-item
2024-03-21 11:01:57	ga_s2bm_ard_3-2-1_52KHG_2024-03-21_final.stac-item
2024-03-31 11:02:10	ga_s2bm_ard_3-2-1_53KKA_2024-03-31_final.stac-item
2024-04-10 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2024-04-10_final.stac-item
2024-04-11 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2024-04-11_final.stac-item
2024-04-28 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2024-04-28_final.stac-item
2024-04-29 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2024-04-29_final.stac-item
2024-05-06 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2024-05-06_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