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 11:59:31	ga_s2bm_ard_3-2-1_49KHP_2017-07-04_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2017-09-02_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HQK_2017-12-12_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLR_2017-12-18_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HNG_2018-01-01_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JLM_2018-01-30_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLP_2018-03-08_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLS_2018-04-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMJ_2018-05-07_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHP_2018-09-07_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLP_2018-10-17_final
2018-11-30 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-11-30_final
2018-12-03 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2018-12-03_final
2018-12-23 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2018-12-23_final
2018-12-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-12-26_final
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final
2019-01-09 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-01-09_final
2019-01-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-01-26_final.stac-item
2019-03-23 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-03-23_final
2019-04-22 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-04-22_final
2019-04-22 11:55:48	ga_s2bm_ard_3-2-1_50JLP_2019-04-22_final
2019-05-05 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-05_final
2019-06-14 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-06-14_final
2019-06-21 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-06-21_final
2019-07-24 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-07-24_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2019-08-17_final
2019-09-12 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-09-12_final
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final
2019-10-19 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-10-19_final
2019-11-18 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-11-18_final
2019-11-21 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2019-11-21_final
2019-11-28 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2019-11-28_final
2020-01-14 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2020-01-14_final
2020-02-03 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2020-02-03_final
2020-02-09 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2020-02-09_final
2020-03-07 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-07_final
2020-03-11 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2020-03-11_final.stac-item
2020-03-20 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-03-20_final
2020-03-20 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2020-03-20_final
2020-03-20 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-03-20_final
2020-03-27 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2020-03-27_final
2020-05-10 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2020-05-10_final
2020-05-16 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2020-05-16_final
2020-06-02 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2020-06-02_final
2020-06-09 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-09_final
2020-07-28 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-07-28_final
2020-08-31 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-08-31_final.stac-item
2020-11-09 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2020-11-09_final
2020-11-19 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2020-11-19_final
2020-11-22 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2020-11-22_final
2020-11-22 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2020-11-22_final
2020-11-25 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2020-11-25_final
2021-01-18 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-18_final
2021-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-01-18_final.stac-item
2021-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-02-17_final
2021-03-15 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-04-11 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2021-04-11_final
2021-04-21 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-04-21_final
2021-04-28 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-04-28_final
2021-05-28 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-05-28_final
2021-06-03 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-06-03_final
2021-06-30 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-06-30_final
2021-08-02 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-08-02_final
2021-09-18 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-09-18_final
2021-10-18 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-18_final
2021-11-11 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-11-11_final
2021-12-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-03_final
2021-12-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-07_final
2022-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2022-03-17_final
2022-03-27 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2022-03-27_final
2022-03-30 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-03-30_final
2022-05-26 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-26_final
2022-06-08 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2022-06-08_final
2022-07-25 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2022-07-25_final.stac-item
2022-09-23 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2022-09-23_final.stac-item
2022-11-05 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-11-05_final.stac-item
2022-11-22 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-11-22_final.stac-item
2022-12-02 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2022-12-02_final.stac-item
2022-12-05 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-12-05_final.stac-item
2022-12-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-12-29_final.stac-item
2023-01-28 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-01-28_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-06-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-10_final.stac-item
2023-06-30 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-06-30_final.stac-item
2023-07-13 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-13_final.stac-item
2023-07-23 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2023-07-23_final.stac-item
2023-07-24 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-07-24_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-21_final.stac-item
2023-10-21 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-21_final.stac-item
2023-10-21 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-21_final.stac-item
2023-10-28 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-10-31 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-31_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_final.stac-item
2023-11-30 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-11-30_final.stac-item
2023-12-07 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2023-12-07_final.stac-item
2024-01-06 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-01-06_final.stac-item
2024-02-12 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-12_final.stac-item
2024-02-28 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-02-28_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