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_49JHM_2017-07-14_final
2017-08-03 12:03:47	ga_s2bm_ard_3-2-1_49KHQ_2017-08-03_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2017-09-02_final.stac-item
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKR_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JLS_2017-10-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JKT_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQJ_2017-10-13_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-14_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQK_2017-11-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HQK_2017-12-02_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLS_2017-12-11_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLS_2017-12-18_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HQH_2018-02-13_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLS_2018-04-10_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-13_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-06-19_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLR_2018-08-25_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50JLR_2018-08-28_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLS_2018-10-14_final
2018-11-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2018-11-10_final
2019-01-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-01-09_final
2019-02-24 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2019-02-24_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final
2019-04-08 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2019-04-08_final
2019-05-05 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-05_final
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-06-14 12:05:15	ga_s2bm_ard_3-2-1_50JLR_2019-06-14_final
2019-06-21 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-21_final.stac-item
2019-07-01 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-07-01_final
2019-09-12 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2019-09-12_final
2019-09-16 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-09-16_final
2019-11-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-11-04_final
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final
2019-11-25 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2019-11-25_final.stac-item
2019-12-21 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2019-12-21_final
2020-01-07 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2020-01-07_final
2020-02-03 11:46:47	ga_s2bm_ard_3-2-1_50HQH_2020-02-03_final
2020-02-29 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2020-02-29_final
2020-03-03 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-03_final
2020-04-06 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-04-06_final.stac-item
2020-04-16 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2020-04-16_final
2020-05-26 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2020-05-26_final
2020-06-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-06-21_final
2020-06-29 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2020-06-29_final.stac-item
2020-07-01 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-01_final
2020-07-11 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-11_final
2020-07-18 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2020-07-18_final
2020-08-24 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-08-24_final
2020-09-29 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-09-29_final.stac-item
2020-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-09-29_final
2020-10-06 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-10-06_final
2020-10-09 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-09_final
2020-11-12 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2020-11-12_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2020-11-25 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2020-11-25_final
2020-12-06 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-12-06_final
2020-12-25 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-12-25_final
2021-03-12 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-03-12_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-04-18 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-04-18_final
2021-04-27 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2021-04-27_final
2021-06-13 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-06-13_final
2021-07-03 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-07-03_final
2021-07-17 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-17_final
2021-10-08 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-10-08_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-10-11_final
2021-10-21 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-10-21_final
2021-12-27 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-27_final
2021-12-30 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2021-12-30_final
2021-12-30 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-12-30_final
2022-01-09 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2022-01-09_final
2022-02-25 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-02-25_final
2022-04-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-12_final
2022-06-21 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-06-21_final.stac-item
2022-07-11 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-07-11_final.stac-item
2022-09-06 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-06_final.stac-item
2022-09-10 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2022-09-10_final.stac-item
2022-09-29 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-09-29_final.stac-item
2022-10-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2022-10-06_final.stac-item
2022-10-07 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-10-07_final.stac-item
2022-10-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-10-19_final.stac-item
2022-12-02 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2022-12-02_final.stac-item
2022-12-22 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2022-12-22_final.stac-item
2023-01-14 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2023-01-14_final.stac-item
2023-02-06 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-02-06_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-03-19 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-19_final.stac-item
2023-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-26_final.stac-item
2023-06-30 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-30_final.stac-item
2023-10-21 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-21_final.stac-item
2023-11-27 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2023-11-27_final.stac-item
2023-11-30 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2023-11-30_final.stac-item
2023-12-17 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2023-12-17_final.stac-item
2024-01-06 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2024-01-06_final.stac-item
2024-01-06 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2024-01-06_final.stac-item
2024-02-01 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-02-01_final.stac-item
2024-02-12 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2024-02-12_final.stac-item
2024-02-21 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-21_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