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
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JGM_2017-09-05_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGM_2017-09-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMG_2017-12-15_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQJ_2018-01-11_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPJ_2018-01-24_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPJ_2018-03-22_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQG_2018-06-10_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKN_2018-06-26_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JML_2018-07-03_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGM_2018-09-17_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHR_2018-09-17_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPJ_2018-10-11_final
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final
2018-11-19 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-11-19_final
2018-12-10 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2018-12-10_final.stac-item
2018-12-13 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2018-12-13_final
2018-12-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-12-26_final
2018-12-29 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-12-29_final
2019-01-05 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2019-01-05_final
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final
2019-01-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-01-15_final
2019-04-05 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2019-04-05_final.stac-item
2019-04-15 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2019-04-15_final
2019-06-05 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-06-05_final.stac-item
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-24_final
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final
2019-08-30 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2019-08-30_final
2019-11-25 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2019-11-25_final
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final
2019-12-31 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-31_final
2020-01-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-01-10_final
2020-01-14 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-14_final
2020-01-23 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-01-23_final
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final
2020-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-14_final.stac-item
2020-03-27 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-03-27_final
2020-07-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-02_final
2020-09-20 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-20_final
2020-10-30 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-10-30_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-01-24_final
2021-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-02-10_final
2021-03-05 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-03-05_final
2021-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-03-25_final
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-04-24 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-04-24_final
2021-05-08 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-05-08_final
2021-05-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-05-21_final
2021-05-31 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-05-31_final
2021-07-16 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-16_final
2021-07-24 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-24_final
2021-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2021-08-02_final
2021-09-02 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-09-02_final
2021-09-04 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2021-09-04_final
2021-09-08 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-09-08_final
2021-11-01 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-11-01_final
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-11-10_final
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-11-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-11-20_final
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final
2022-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-16_final
2022-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-01-30_final.stac-item
2022-02-15 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-15_final
2022-02-15 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-02-15_final
2022-02-21 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-21_final
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final
2022-05-13 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-05-13_final.stac-item
2022-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-06-11_final
2022-08-01 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-01_final
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-09_final.stac-item
2022-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2022-09-13_final.stac-item
2022-09-27 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-09-27_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-11-09 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-09_final.stac-item
2022-11-26 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-11-26_final.stac-item
2022-12-25 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-12-25_final.stac-item
2023-01-21 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2023-01-21_final.stac-item
2023-03-05 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-03-05_final.stac-item
2023-03-15 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-03-15_final.stac-item
2023-04-07 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-04-07_final.stac-item
2023-06-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-06-14_final.stac-item
2023-06-24 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-24_final.stac-item
2023-07-26 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-26_final.stac-item
2023-08-09 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-08-09_final.stac-item
2023-09-01 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-09-01_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-11-11 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-11-11_final.stac-item
2023-11-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-11-17_final.stac-item
2023-12-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-12-03_final.stac-item
2023-12-27 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-12-27_final.stac-item
2024-01-26 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-01-26_final.stac-item
2024-03-10 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2024-03-10_final.stac-item
2024-03-20 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-03-20_final.stac-item
2024-04-09 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2024-04-09_final.stac-item
2024-04-09 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-04-09_final.stac-item
2024-04-19 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2024-04-19_final.stac-item
2024-05-11 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-05-11_interim.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