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
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-04_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HPH_2017-11-25_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HQH_2017-12-02_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-12-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPH_2017-12-15_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGQ_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-03-14_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HQK_2018-03-25_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-04-13_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPG_2018-04-21_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMG_2018-07-13_final.stac-item
2018-12-06 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2018-12-06_final
2018-12-26 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2018-12-26_final
2018-12-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-12-26_final
2019-01-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2019-01-02_final
2019-02-18 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-02-18_final.stac-item
2019-04-16 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-04-16_final
2019-05-19 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-05-19_final
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-06-08 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-08_final.stac-item
2019-07-11 11:57:15	ga_s2bm_ard_3-2-1_50HMH_2019-07-11_final
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2019-08-23_final
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-11-14 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-11-14_final
2019-12-15 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2019-12-15_final.stac-item
2019-12-24 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2019-12-24_final
2020-01-23 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-01-23_final
2020-01-23 12:14:24	ga_s2bm_ard_3-2-1_49JHN_2020-01-23_final
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-05-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2020-05-23_final
2020-06-25 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-06-25_final
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2020-06-28_final
2020-07-18 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-18_final
2020-07-25 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-07-25_final
2020-08-07 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-07_final
2020-08-27 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final
2020-09-07 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-09-07_final.stac-item
2020-09-23 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-09-23_final.stac-item
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final
2020-10-09 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-09_final
2020-10-26 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-26_final
2020-10-26 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-26_final
2020-11-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2020-11-25_final
2020-11-26 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-11-26_final
2020-12-16 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2020-12-16_final
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-12-25_final
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-12-25_final
2021-01-04 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-01-04_final
2021-01-05 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2021-01-05_final
2021-01-07 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-01-07_final
2021-03-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-08_final
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final.stac-item
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final
2021-05-18 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-05-18_final
2021-05-31 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-05-31_final
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-17_final
2021-06-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-26_final
2021-07-04 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-04_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-07-07_final
2021-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-24_final.stac-item
2021-07-30 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-30_final
2021-08-06 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-08-06_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final
2021-11-21 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-11-21_final
2021-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-11-24_final
2021-12-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-04_final
2021-12-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2021-12-24_final
2021-12-31 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-31_final
2022-01-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-01-06_final
2022-01-20 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2022-01-20_final
2022-03-11 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2022-03-11_final
2022-03-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-03-14_final.stac-item
2022-03-27 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-03-27_final
2022-04-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2022-04-12_final.stac-item
2022-04-19 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-04-19_final
2022-10-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-10-10_final.stac-item
2022-10-16 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-16_final.stac-item
2022-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2023-01-11 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2023-01-11_final.stac-item
2023-01-11 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2023-01-11_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final.stac-item
2023-02-23 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2023-02-23_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2023-03-15_final.stac-item
2023-03-29 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-29_final.stac-item
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final.stac-item
2023-05-08 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-05-08_final.stac-item
2023-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-09-15_final.stac-item
2023-10-15 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-10-15_final.stac-item
2023-11-01 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-11-01_final.stac-item
2023-11-21 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-11-21_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