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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPK_2017-07-25_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2017-08-13_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KPC_2017-10-19_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KHP_2017-11-01_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51HWD_2017-12-06_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50JPL_2017-12-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KNC_2017-12-28_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HUC_2018-01-08_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-01-20_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JLT_2018-02-09_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HUC_2018-02-27_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-11_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KKA_2018-05-30_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KKV_2018-06-09_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_50KRC_2018-06-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNR_2018-08-05_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKV_2018-08-08_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JHN_2018-08-08_final
2018-11-11 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2018-11-11_final
2018-11-16 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-16_final
2019-01-02 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-01-02_final
2019-02-04 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2019-02-04_final
2019-03-27 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2019-03-27_final
2019-04-13 11:24:31	ga_s2bm_ard_3-2-1_51JXN_2019-04-13_final
2019-05-20 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-05-20_final
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-08-31 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2019-08-31_final
2019-10-02 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2019-10-02_final
2019-10-09 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2019-10-09_final
2019-12-02 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2019-12-02_final
2020-01-21 11:36:56	ga_s2bm_ard_3-2-1_50HQH_2020-01-21_final
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final
2020-01-28 11:25:49	ga_s2bm_ard_3-2-1_51JWG_2020-01-28_final
2020-01-31 11:36:26	ga_s2bm_ard_3-2-1_50HQK_2020-01-31_final
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-02-17_final
2020-02-17 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2020-02-17_final
2020-03-07 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-07_final
2020-04-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-19_final
2020-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-08-11 11:45:32	ga_s2bm_ard_3-2-1_51JTJ_2020-08-11_final
2020-09-20 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2020-09-20_final
2020-09-26 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-26_final
2020-11-20 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2020-11-20_final
2020-11-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2020-11-26_final.stac-item
2021-01-28 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-28_final
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final
2021-02-24 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2021-02-24_final
2021-04-21 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2021-04-21_final
2021-05-11 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2021-05-11_final
2021-05-19 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2021-05-19_final
2021-05-31 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-05-31_final
2021-06-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-27_final
2021-06-30 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-30_final
2021-07-01 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-07-01_final
2021-08-29 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-08-29_final
2021-11-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-11-17_final
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final
2022-01-16 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-01-16_final
2022-01-17 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2022-01-17_final
2022-02-08 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-02-08_final
2022-03-08 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2022-03-08_final
2022-04-04 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2022-04-04_final
2022-04-26 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-04-26_final
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final
2022-05-20 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-20_final
2022-06-18 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-06-18_final
2022-06-21 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-21_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-18_final
2022-08-10 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2022-08-10_final
2022-08-25 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2022-08-25_final.stac-item
2022-09-06 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-06_final.stac-item
2022-11-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-11-02_final.stac-item
2022-11-03 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2022-11-03_final.stac-item
2022-11-23 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2022-11-23_final.stac-item
2023-02-03 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-02-03_final.stac-item
2023-02-11 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2023-02-11_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final.stac-item
2023-03-26 11:35:21	ga_s2bm_ard_3-2-1_51JTK_2023-03-26_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-28_final.stac-item
2023-05-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-05-25 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-05-25_final.stac-item
2023-05-25 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-05-25_final.stac-item
2023-08-15 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2023-08-15_final.stac-item
2023-08-16 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2023-08-16_final.stac-item
2023-09-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-09-08_final.stac-item
2023-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-09-15_final.stac-item
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-19_final.stac-item
2023-10-29 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2023-10-29_final.stac-item
2023-12-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-03_final.stac-item
2023-12-20 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-12-20_final.stac-item
2024-01-06 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2024-01-06_final.stac-item
2024-01-09 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2024-01-09_final.stac-item
2024-01-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-01-19_final.stac-item
2024-01-29 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2024-01-29_final.stac-item
2024-02-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-02-15_final.stac-item
2024-03-20 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2024-03-20_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