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_49JHN_2017-07-04_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2017-08-06_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2017-08-06_final
2017-08-27 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPG_2017-10-06_final.stac-item
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50HNK_2017-10-09_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KGQ_2017-11-11_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLK_2017-11-18_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLL_2017-12-28_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-01-20_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-01-23_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JKP_2018-01-27_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGM_2018-03-04_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGK_2018-04-20_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JHM_2018-06-19_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-07-12_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLJ_2018-08-25_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKN_2018-09-27_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMJ_2018-10-11_final
2018-11-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-11-10_final
2018-11-23 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2018-11-23_final
2018-11-30 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2018-11-30_final
2019-01-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-01-26_final.stac-item
2019-02-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2019-02-28_final
2019-03-10 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2019-03-10_final.stac-item
2019-03-20 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-03-20_final
2019-04-28 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-04-28_final
2019-04-28 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-28_final
2019-05-02 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-05-02_final
2019-05-29 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-29_final
2019-06-05 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-05_final
2019-06-21 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-21_final
2019-07-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-07-04_final
2019-07-07 12:14:17	ga_s2bm_ard_3-2-1_49KHQ_2019-07-07_final
2019-08-10 11:56:32	ga_s2bm_ard_3-2-1_50JLL_2019-08-10_final
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-09-02_final
2019-11-18 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2019-11-18_final
2019-11-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-11-21_final
2019-11-22 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2019-11-22_final
2020-01-01 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-01-01_final
2020-01-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-01-07_final
2020-03-03 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-03_final
2020-03-10 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2020-03-10_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-03-30_final
2020-04-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-04-03_final
2020-04-26 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-04-26_final
2020-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-05-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-05-03_final
2020-06-08 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-06-08_final
2020-07-01 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-07-01_final
2020-08-14 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-14_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2020-09-16_final
2020-09-16 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-16_final
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-11-09 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-11-09_final
2020-12-08 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-08_final
2021-01-04 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-01-04_final
2021-01-05 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-01-05_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-04-05 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2021-04-05_final
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-17 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2021-04-17_final.stac-item
2021-04-24 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-04-24_final
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-08-09 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-08-09_final
2021-09-24 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-09-24_final
2021-10-01 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-01_final
2021-11-03 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-11-03_final
2021-11-04 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-11-04_final
2021-11-04 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-11-04_final.stac-item
2021-12-23 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-12-23_final
2022-01-03 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2022-01-03_final
2022-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-03-14_final
2022-06-12 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2022-06-12_final.stac-item
2022-06-25 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2022-06-25_final
2022-07-08 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2022-07-08_final
2022-08-14 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2022-08-14_final
2022-08-24 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2022-08-24_final
2022-11-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-11-08_final.stac-item
2022-11-15 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2022-11-15_final.stac-item
2022-12-15 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-12-15_final.stac-item
2022-12-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-12-18_final.stac-item
2022-12-19 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-12-19_final.stac-item
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-04-07 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-04-07_final.stac-item
2023-04-21 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-21_final.stac-item
2023-05-27 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-27_final.stac-item
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final.stac-item
2023-07-16 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-07-16_final.stac-item
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final.stac-item
2023-07-17 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-17_final.stac-item
2023-09-08 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-09-08_final.stac-item
2023-09-11 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-11_final.stac-item
2023-10-25 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-10-25_final.stac-item
2024-02-05 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2024-02-05_final.stac-item
2024-02-05 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-02-05_final.stac-item
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final.stac-item
2024-02-28 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2024-02-28_final.stac-item
2024-03-06 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2024-03-06_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