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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JFM_2017-07-14_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHM_2017-08-03_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HQH_2017-08-07_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHQ_2017-09-12_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JLQ_2017-09-12_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKT_2017-10-02_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKR_2017-12-01_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKR_2018-04-10_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-06-22_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLQ_2018-07-09_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMH_2018-07-13_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-07-22_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-08-12_final
2018-11-07 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2018-11-07_final
2018-11-19 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-19_final
2018-11-20 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2018-11-20_final.stac-item
2018-12-13 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2018-12-13_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-01-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2019-01-15_final
2019-01-29 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-01-29_final
2019-02-08 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-02-08_final
2019-02-17 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-02-17_final
2019-05-08 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-08_final
2019-06-01 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-06-01_final
2019-08-06 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-08-06_final
2019-08-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2019-08-26_final.stac-item
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2019-09-05_final.stac-item
2019-09-09 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2019-09-09_final
2019-09-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-12-11 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2019-12-11_final
2020-01-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-01-04_final.stac-item
2020-01-31 11:37:19	ga_s2bm_ard_3-2-1_50HNG_2020-01-31_final.stac-item
2020-02-03 11:47:14	ga_s2bm_ard_3-2-1_50HNG_2020-02-03_final.stac-item
2020-02-13 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2020-02-13_final
2020-02-29 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-02-29_final
2020-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-23_final
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMJ_2020-03-24_final
2020-04-22 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-04-22_final
2020-05-03 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2020-05-03_final
2020-05-09 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2020-05-09_final
2020-05-09 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-05-09_final
2020-05-12 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-05-12_final
2020-05-12 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2020-05-12_final
2020-05-13 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2020-05-13_final
2020-06-02 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-06-02_final.stac-item
2020-07-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2020-07-12_final
2020-07-21 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-07-31 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-08-31 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-08-31_final.stac-item
2020-09-03 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2020-09-03_final
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-12-08 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-12-08_final
2021-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-02-17_final
2021-03-15 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-03-15_final
2021-03-15 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-03-15_final
2021-03-19 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-03-19_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2021-04-04_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2021-04-04_final
2021-04-14 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-04-14_final
2021-04-27 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-04-27_final
2021-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-05-08_final
2021-06-20 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-06-20_final
2021-06-30 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2021-06-30_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-06 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-07-06_final
2021-07-06 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-07-06_final
2021-07-26 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-26_final
2021-08-06 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-08-06_final
2021-08-22 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-08-22_final
2021-08-25 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2021-08-25_final.stac-item
2021-08-25 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-08-25_final
2021-08-26 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-08-26_final.stac-item
2021-09-04 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2021-09-04_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-11-30 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2021-11-30_final
2022-01-19 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2022-01-19_final
2022-01-29 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2022-01-29_final
2022-02-01 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-02-01_final
2022-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-05-02_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-08-27 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-08-27_final.stac-item
2022-10-19 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-10-19_final.stac-item
2022-12-18 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-12-18_final.stac-item
2022-12-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-12-25_final.stac-item
2023-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-01-04_final.stac-item
2023-02-03 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2023-02-03_final.stac-item
2023-02-27 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-02-27_final.stac-item
2023-05-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-05-07_final.stac-item
2023-06-07 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-06-07_final.stac-item
2023-06-13 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-06-13_final.stac-item
2023-06-20 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2023-06-20_final.stac-item
2023-08-23 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2023-08-23_final.stac-item
2023-09-01 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-09-01_final.stac-item
2023-10-01 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-01_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2024-02-18 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2024-02-18_final.stac-item
2024-02-18 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2024-02-18_final.stac-item
2024-02-28 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2024-02-28_final.stac-item
2024-03-29 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2024-03-29_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