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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNH_2017-08-27_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2017-08-30_final
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-05_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-04_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-11-14_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-14_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_50JKN_2017-12-11_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-03-04_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HQH_2018-10-28_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-19 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-11-19_final
2018-12-20 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2018-12-20_final
2019-01-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2019-01-06_final
2019-01-09 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-01-09_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-01-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-01-18_final
2019-05-09 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-09_final.stac-item
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final
2019-11-14 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-11-14_final
2019-12-14 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2019-12-14_final
2019-12-21 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-21_final
2019-12-21 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-21_final
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final
2019-12-25 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-25_final.stac-item
2020-01-03 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-03_final
2020-01-23 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-01-23_final
2020-01-23 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-01-23_final
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-04-20 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-04-20_final.stac-item
2020-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-07-02_final
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final
2020-07-22 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-07-22_final
2020-07-22 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final
2020-07-29 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-07-29_final.stac-item
2020-08-30 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-30_final
2020-10-09 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-09_final
2020-10-09 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-09_final
2020-10-17 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-17_final
2020-10-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-10-26_final
2020-10-27 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-27_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-11-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final
2020-11-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2020-11-28_final
2020-12-02 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2020-12-02_final
2020-12-05 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2020-12-05_final
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-12-25_final
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final
2021-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-03-08 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-03-08_final
2021-03-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-03-29_final
2021-04-18 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-18_final.stac-item
2021-05-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-05-18_final
2021-06-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-07_final
2021-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-17_final
2021-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-06-17_final.stac-item
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final
2021-07-07 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-07_final
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final
2021-07-10 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-10_final
2021-07-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-17_final.stac-item
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-10-02 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-10-02_final.stac-item
2021-10-15 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-10-15_final.stac-item
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-11-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-11-20_final
2021-12-01 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2021-12-01_final
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final
2021-12-21 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-12-21_final.stac-item
2021-12-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2021-12-24_final
2021-12-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-12-24_final.stac-item
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-03-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-03-14_final.stac-item
2022-05-30 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-30_final.stac-item
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-19_final
2022-07-22 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-22_final
2022-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-21_final.stac-item
2022-09-30 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-09-30_final.stac-item
2022-11-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-11-29_final.stac-item
2022-11-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-11-29_final.stac-item
2022-12-09 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2022-12-09_final.stac-item
2022-12-29 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-12-29_final.stac-item
2023-01-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-05_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-03-09 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-03-09_final.stac-item
2023-03-16 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-03-16_final.stac-item
2023-03-19 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-19_final.stac-item
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final.stac-item
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final.stac-item
2024-03-30 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-03-30_final.stac-item
2024-04-02 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2024-04-02_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