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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLM_2017-07-24_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JML_2017-08-30_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JLP_2017-09-02_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHR_2017-10-05_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-14_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-21_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQH_2018-01-31_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQJ_2018-03-02_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-13_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQJ_2018-06-30_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQG_2018-07-30_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMK_2018-08-02_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKM_2018-08-25_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLJ_2018-10-14_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMH_2018-11-03_final
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2019-01-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-01-02_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final
2019-02-27 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-02-27_final
2019-02-28 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2019-02-28_final
2019-07-11 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-11_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-11-01 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-11-01_final
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final
2020-03-31 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-31_final
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final
2020-05-09 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-05-09_final
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final
2020-06-05 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2020-06-05_final.stac-item
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final
2020-07-09 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-07-09_final
2020-07-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-07-15_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-20 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-08-20_final
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-07 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-07_final
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final
2020-11-28 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-11-28_final.stac-item
2021-01-11 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-01-11_final
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final
2021-04-11 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-04-11_final
2021-04-14 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-04-14_final
2021-04-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-04-17_final
2021-04-24 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-24_final
2021-04-24 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-04-24_final
2021-05-31 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-05-31_final
2021-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-07-07_final
2021-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-08-03_final
2021-10-11 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-10-11_final
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final
2021-12-10 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-10_final
2021-12-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-12-30_final
2022-01-09 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-01-09_final
2022-01-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-01-19_final
2022-02-08 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2022-02-08_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-03-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2022-03-04_final
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final
2022-04-09 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-04-09_final
2022-04-29 12:05:57	ga_s2bm_ard_3-2-1_50JLM_2022-04-29_final
2022-05-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-05-19_final
2022-06-08 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-06-08_final
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final
2022-06-18 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-06-18_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-06-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-06-25_final
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2022-11-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-18_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-04_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final.stac-item
2023-05-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-05-04_final.stac-item
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final.stac-item
2023-05-25 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-05-25_final.stac-item
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final.stac-item
2023-11-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-11-17_final.stac-item
2023-11-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2023-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-04_final.stac-item
2023-12-20 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-12-20_final.stac-item
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2024-01-29_final.stac-item
2024-01-29 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-01-29_final.stac-item
2024-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-02-05_final.stac-item
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2024-03-12_final.stac-item
2024-03-19 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-03-19_final.stac-item
2024-03-29 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-03-29_final.stac-item
2024-04-05 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2024-04-05_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