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
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQK_2017-11-15_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HQK_2017-11-25_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-01-30_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGQ_2018-03-01_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HQK_2018-03-05_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLK_2018-03-08_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPG_2018-05-04_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JFM_2018-07-12_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HPH_2018-07-13_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLK_2018-08-25_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMH_2018-08-25_final
2019-01-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-01-05_final
2019-03-23 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-03-23_final
2019-04-05 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-05_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final.stac-item
2019-05-02 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-05-02_final
2019-05-19 11:46:38	ga_s2bm_ard_3-2-1_50HQK_2019-05-19_final
2019-05-19 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-09-22 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-09-22_final
2019-09-29 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-09-29_final
2019-10-13 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2019-10-13_final.stac-item
2019-12-01 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-01_final
2019-12-31 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2019-12-31_final
2020-02-09 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2020-02-09_final
2020-02-29 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-02-29_final
2020-02-29 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-02-29_final
2020-03-10 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-10_final
2020-03-23 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-03-23_final
2020-04-09 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-04-09_final
2020-04-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-09_final
2020-04-10 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-04-10_final
2020-05-06 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-05-06_final
2020-07-12 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-12_final.stac-item
2020-07-18 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-07-18_final
2020-07-18 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2020-07-18_final
2020-08-01 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-08-01_final
2020-08-08 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-08-08_final.stac-item
2020-08-31 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-08-31_final
2020-09-13 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-13_final
2020-09-23 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-09-23_final
2020-10-10 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-10_final
2020-10-26 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-10-26_final
2020-11-05 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-11-05_final
2021-01-07 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-01-07_final
2021-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-17_final
2021-02-20 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-02-20_final
2021-03-09 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-03-09_final
2021-04-01 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-04-01_final
2021-05-24 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2021-05-24_final
2021-07-17 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-17_final
2021-08-16 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-08-16_final
2021-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-08-23_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-09-21 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-09-21_final
2021-11-24 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2021-11-24_final
2021-12-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-03_final
2022-02-02 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-02_final
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-03-10_final.stac-item
2022-04-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-04-06_final
2022-05-02 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2022-05-02_final.stac-item
2022-05-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-05-06_final
2022-05-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-08-10 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2022-08-10_final
2022-09-26 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2022-09-26_final.stac-item
2022-09-27 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-09-27_final.stac-item
2022-10-13 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-10-13_final.stac-item
2022-11-25 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-11-25_final.stac-item
2022-12-22 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-12-22_final.stac-item
2022-12-29 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-12-29_final.stac-item
2023-01-04 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2023-01-04_final.stac-item
2023-02-13 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-02-13_final.stac-item
2023-02-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-02-23_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-03-09 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-03-09_final.stac-item
2023-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-03-29_final.stac-item
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-04-14_final.stac-item
2023-04-18 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2023-04-18_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final.stac-item
2023-05-04 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-05-04_final.stac-item
2023-05-21 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-05-21_final.stac-item
2023-06-03 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-06-03_final.stac-item
2023-06-03 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-06-03_final.stac-item
2023-07-06 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2023-07-06_final.stac-item
2023-07-13 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-13_final.stac-item
2023-08-22 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-08-22_final.stac-item
2023-08-26 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-08-26_final.stac-item
2023-10-01 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final.stac-item
2023-10-12 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-10-12_final.stac-item
2023-10-15 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-10-15_final.stac-item
2023-11-30 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-11-30_final.stac-item
2023-12-10 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-12-10_final.stac-item
2023-12-20 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-12-20_final.stac-item
2023-12-30 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-12-30_final.stac-item
2024-01-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-01-16_final.stac-item
2024-02-29 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-02-29_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

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