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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JMP_2017-07-11_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHR_2017-07-24_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNH_2017-09-16_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGJ_2017-10-12_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHQ_2017-12-01_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKP_2017-12-01_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HPK_2017-12-22_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HQJ_2018-03-05_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQH_2018-03-12_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNH_2018-05-24_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-03_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-06-09_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-07-02_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLL_2018-08-25_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JLR_2018-08-28_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JMM_2018-09-01_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-09-10_final
2018-12-03 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2018-12-03_final
2019-02-21 11:56:21	ga_s2bm_ard_3-2-1_50JML_2019-02-21_final
2019-02-27 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2019-02-27_final
2019-03-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-03-03_final
2019-03-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final
2019-07-08 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-08_final.stac-item
2019-08-03 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-08-03_final
2019-08-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2019-08-26_final
2019-08-30 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2019-08-30_final
2019-09-06 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-09-06_final.stac-item
2019-09-09 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2019-09-09_final
2019-09-19 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2019-09-19_final
2019-10-15 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2019-10-15_final
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final
2020-02-02 12:15:03	ga_s2bm_ard_3-2-1_49JGL_2020-02-02_final
2020-02-10 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2020-02-10_final
2020-02-13 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-02-13_final
2020-02-26 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-02-26_final
2020-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-10_final
2020-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-17_final
2020-03-20 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-20_final
2020-04-10 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-04-10_final
2020-05-13 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2020-05-13_final
2020-05-30 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-05-30_final
2020-06-01 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-06-01_final
2020-06-18 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-06-18_final
2020-06-19 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-19_final
2020-06-25 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-06-25_final
2020-07-15 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2020-07-15_final
2020-07-31 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-07-31_final
2020-08-20 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-20_final
2020-09-06 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-06_final
2020-09-16 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-16_final
2020-12-02 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2020-12-02_final
2020-12-22 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2020-12-22_final
2021-01-01 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-01-01_final
2021-01-21 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-21_final
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final
2021-04-24 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-04-24_final
2021-05-01 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-05-01_final
2021-05-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-05-24_final
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final
2021-08-06 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-08-06_final
2021-08-06 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-08-06_final
2021-09-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-09-22_final
2021-10-11 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-11_final
2021-10-28 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-10-28_final
2021-12-07 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2021-12-07_final
2022-02-15 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-02-15_final
2022-02-18 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2022-02-18_final
2022-04-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-04-09_final
2022-04-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-04-12_final
2022-04-16 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-04-16_final
2022-05-02 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-05-02_final
2022-06-01 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-06-01_final
2022-10-03 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-10-03_final.stac-item
2022-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-26_final.stac-item
2022-11-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-11-28_final.stac-item
2022-12-22 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-12-22_final.stac-item
2023-01-24 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-24_final.stac-item
2023-03-05 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2023-03-05_final.stac-item
2023-03-15 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-03-15_final.stac-item
2023-04-14 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2023-04-14_final.stac-item
2023-04-24 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-04-24_final.stac-item
2023-05-17 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-17_final.stac-item
2023-05-18 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-05-18_final.stac-item
2023-05-21 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-05-21_final.stac-item
2023-06-17 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-17_final.stac-item
2023-06-30 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-06-30_final.stac-item
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final.stac-item
2023-08-06 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-08-06_final.stac-item
2023-10-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-11-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2023-11-24_final.stac-item
2023-11-27 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2023-11-27_final.stac-item
2024-01-06 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2024-01-06_final.stac-item
2024-01-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-01-20_final.stac-item
2024-01-26 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-01-26_final.stac-item
2024-03-02 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2024-03-02_final.stac-item
2024-03-06 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2024-03-06_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