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_49JGN_2017-07-14_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGL_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HQK_2017-08-27_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2017-09-02_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HQK_2017-09-03_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMJ_2017-11-05_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HNG_2017-11-22_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-12-08_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMK_2017-12-15_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMJ_2018-01-27_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKQ_2018-03-01_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-03-21_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQJ_2018-03-22_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HQJ_2018-04-04_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HQK_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-06-13_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-29_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMK_2018-07-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGN_2018-07-09_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKN_2018-07-29_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGM_2018-08-18_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPK_2018-08-19_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final
2019-01-09 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-01-09_final
2019-02-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-11_final
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final
2019-03-26 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-04-02 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2019-04-02_final
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final
2019-04-09 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2019-04-09_final
2019-04-22 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2019-04-22_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final.stac-item
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-05-19 11:47:02	ga_s2bm_ard_3-2-1_50HQH_2019-05-19_final
2019-05-26 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-26_final
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-05-29 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-29_final
2019-06-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-04_final
2019-06-04 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-04_final
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final
2019-07-28 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-07-28_final.stac-item
2019-08-17 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2019-08-17_final.stac-item
2019-10-19 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-19_final.stac-item
2019-10-29 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-10-29_final
2019-11-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2019-11-22_final
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-02-03 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2020-02-03_final.stac-item
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
2020-02-10 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-02-10_final.stac-item
2020-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-20_final
2020-03-27 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-27_final
2020-04-06 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-04-06_final
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final
2020-08-07 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-07_final
2020-10-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-10-26_final
2020-12-28 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-12-28_final
2021-01-11 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-01-11_final
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final
2021-02-14 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2021-02-14_final.stac-item
2021-02-20 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-02-20_final
2021-03-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-03-19_final
2021-03-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-03-29_final
2021-04-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-04-14_final
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final.stac-item
2021-04-28 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-04-28_final
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final
2021-05-18 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-05-18_final
2021-05-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-05-25_final
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final
2021-08-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-08-06_final.stac-item
2021-08-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-08-12_final
2021-08-12 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-08-12_final
2021-08-16 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-08-16_final
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final
2021-09-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-11-14 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-11-14_final
2022-02-12 11:46:57	ga_s2bm_ard_3-2-1_50HMH_2022-02-12_final
2022-02-25 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-02-25_final
2022-04-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-04-16_final
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-08-01 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2022-08-01_final.stac-item
2022-12-06 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-12-06_final.stac-item
2023-04-24 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final.stac-item
2023-09-14 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-09-14_final.stac-item
2023-10-24 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-10-24_final.stac-item
2023-10-31 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-10-31_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