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_50JKQ_2017-07-04_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2017-08-03_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKP_2017-09-29_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HPK_2017-10-13_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HQH_2017-10-13_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMH_2017-11-05_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMJ_2017-11-15_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HNG_2017-11-22_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-01-13_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-01-13_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNH_2018-02-13_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHP_2018-03-01_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HPK_2018-07-20_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNH_2018-08-12_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGQ_2018-10-30_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-10 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2018-12-10_final
2019-02-04 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-02-04_final
2019-02-18 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2019-02-18_final
2019-04-06 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-04-06_final
2019-05-28 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-28_final
2019-06-04 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-04_final
2019-06-11 11:56:37	ga_s2bm_ard_3-2-1_50HNK_2019-06-11_final
2019-08-07 11:47:17	ga_s2bm_ard_3-2-1_50HMH_2019-08-07_final
2019-08-13 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2019-08-13_final
2019-08-20 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2019-08-20_final
2019-08-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-08-20_final.stac-item
2019-08-26 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2019-08-26_final
2019-09-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-09-13_final
2019-09-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-09-13_final.stac-item
2019-11-08 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-11-08_final
2019-12-15 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-15_final
2020-01-24 11:46:27	ga_s2bm_ard_3-2-1_50HPK_2020-01-24_final
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final
2020-02-06 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2020-02-06_final
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-10_final
2020-04-19 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2020-04-19_final
2020-04-19 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2020-04-19_final
2020-04-26 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-26_final
2020-06-02 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2020-06-02_final.stac-item
2020-07-22 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-07-22_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-10-06_final
2020-10-06 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-10-06_final
2020-10-27 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-27_final
2020-11-16 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2020-11-16_final
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final
2020-12-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2020-12-02_final
2020-12-02 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-12-02_final
2020-12-09 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-12-09_final
2020-12-19 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2020-12-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-29_final
2021-01-05 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-01-05_final
2021-01-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-18_final
2021-01-27 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-01-27_final
2021-02-20 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2021-02-20_final
2021-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final
2021-03-15 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-03-15_final
2021-05-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2021-05-08_final.stac-item
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final
2021-07-27 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-27_final
2021-09-24 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-09-24_final
2021-11-04 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-11-04_final
2021-11-24 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-11-24_final
2021-11-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-30_final
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final
2022-02-12 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-12_final
2022-05-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-05-09_final
2022-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-05-16_final
2022-06-12 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-06-12_final
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final
2022-07-02 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-02_final
2022-08-10 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2022-08-10_final
2022-08-18 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-08-18_final
2022-08-27 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-08-27_final
2022-09-06 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2022-09-06_final.stac-item
2022-10-20 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-10-20_final.stac-item
2022-12-12 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-12-12_final.stac-item
2022-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-12-19_final.stac-item
2023-01-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-01-07_final.stac-item
2023-01-28 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-28_final.stac-item
2023-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-02-16_final.stac-item
2023-02-23 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2023-02-23_final.stac-item
2023-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-03-05_final.stac-item
2023-04-18 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-04-18_final.stac-item
2023-04-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-04-21_final.stac-item
2023-04-24 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-04-24_final.stac-item
2023-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-06-23_final.stac-item
2023-06-27 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-27_final.stac-item
2023-06-30 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-06-30_final.stac-item
2023-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-20_final.stac-item
2023-07-24 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2023-07-24_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-09-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-09-21_final.stac-item
2023-10-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2023-10-05_final.stac-item
2023-10-31 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-10-31_final.stac-item
2023-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-24_final.stac-item
2023-12-24 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-12-24_final.stac-item
2024-04-02 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2024-04-02_final.stac-item
2024-04-18 12:06:11	ga_s2bm_ard_3-2-1_50JKM_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