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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JHN_2017-07-04_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHP_2017-07-17_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHM_2017-07-24_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKT_2017-09-12_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHQ_2017-10-22_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HQK_2017-10-26_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HQK_2017-11-02_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLG_2017-11-15_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQK_2017-11-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HQK_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HQK_2018-01-04_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KHP_2018-01-13_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HQK_2018-02-13_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKQ_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHM_2018-07-09_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKR_2018-07-09_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HLG_2018-07-13_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKQ_2018-08-08_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKR_2018-09-07_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLG_2018-10-11_final.stac-item
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-03-26 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-03-26_final
2019-04-05 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-04-05_final
2019-04-05 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2019-04-05_final
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2019-04-25_final
2019-04-25 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-04-25_final
2019-04-25 12:05:04	ga_s2bm_ard_3-2-1_50JKS_2019-04-25_final
2019-04-25 12:05:26	ga_s2bm_ard_3-2-1_50JKR_2019-04-25_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-04-25 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-05-05 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-05-05_final
2019-05-08 12:14:18	ga_s2bm_ard_3-2-1_49KHQ_2019-05-08_final
2019-05-15 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-05-15_final
2019-05-15 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-06-24 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-24_final
2019-07-24 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-07-24_final
2019-09-22 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2019-09-22_final
2019-10-29 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-10-29_final
2019-12-02 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2019-12-02_final
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2020-02-29 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2020-02-29_final
2020-03-30 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-03-30_final
2020-04-09 12:05:18	ga_s2bm_ard_3-2-1_50JKQ_2020-04-09_final
2020-04-16 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2020-04-16_final
2020-05-09 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-05-09_final
2020-05-19 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2020-05-19_final
2020-05-19 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-05-19_final
2020-05-29 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-05-29_final
2020-06-15 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2020-06-15_final
2020-06-25 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2020-06-25_final
2020-07-05 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-07-05_final
2020-07-08 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-07-08_final
2020-07-08 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2020-07-08_final
2020-07-28 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-07-28_final
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-06 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-06 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-09-06_final
2020-11-15 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-11-15_final
2021-02-10 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2021-02-10_final
2021-04-14 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-04-14_final
2021-04-21 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-04-21_final
2021-09-18 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-09-18_final
2021-09-21 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-09-21_final
2021-10-11 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-11_final
2021-10-18 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2021-10-18_final
2021-12-20 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-12-20_final
2021-12-30 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-12-30_final
2022-01-09 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-01-09_final
2022-02-25 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-02-25_final
2022-03-07 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-03-07_final
2022-03-10 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-03-10_final
2022-03-14 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2022-03-14_final.stac-item
2022-04-19 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2022-04-19_final
2022-04-29 12:05:05	ga_s2bm_ard_3-2-1_50JKR_2022-04-29_final
2022-04-29 12:05:16	ga_s2bm_ard_3-2-1_50JLQ_2022-04-29_final
2022-05-06 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-05-06_final
2022-05-09 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2022-05-09_final
2022-07-25 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-25_final
2023-02-13 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-02-13_final.stac-item
2023-02-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-02-23_final.stac-item
2023-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-03-05_final.stac-item
2023-04-04 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-04-04_final.stac-item
2023-06-13 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-06-13_final.stac-item
2023-07-03 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-07-03_final.stac-item
2023-07-23 12:05:18	ga_s2bm_ard_3-2-1_50JKR_2023-07-23_final.stac-item
2023-08-12 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-08-12_final.stac-item
2023-09-01 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-09-01_final.stac-item
2023-09-01 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-09-01_final.stac-item
2023-09-05 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-09-05_final.stac-item
2023-09-11 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-10-28 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-10-28_final.stac-item
2023-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-20_final.stac-item
2024-02-02 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2024-02-02_final.stac-item
2024-04-18 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2024-04-18_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