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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HQK_2017-10-06_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMJ_2017-11-05_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-11-21_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-02-12_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMK_2018-02-13_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKS_2018-03-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HQK_2018-04-04_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JLS_2018-04-27_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMH_2018-05-07_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQK_2018-05-21_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HNG_2018-06-30_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-07-02_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLQ_2018-07-26_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final
2018-12-06 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2018-12-06_final
2018-12-20 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-12-20_final
2018-12-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-12-26_final
2018-12-27 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2018-12-27_final
2018-12-30 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-12-30_final
2019-01-29 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-01-29_final
2019-02-14 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2019-02-14_final
2019-02-25 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2019-02-25_final
2019-03-06 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2019-03-06_final
2019-03-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2019-03-16_final
2019-03-16 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-03-16_final
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-08-17_final.stac-item
2019-09-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-09-12_final
2019-10-29 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2019-10-29_final
2019-11-21 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-11-21_final
2019-12-14 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2019-12-14_final
2020-01-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2020-01-11_final
2020-01-20 12:03:38	ga_s2bm_ard_3-2-1_49KHS_2020-01-20_final.stac-item
2020-02-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-02-02_final
2020-02-13 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-02-13_final.stac-item
2020-04-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-04-06_final
2020-04-09 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-04-09_final
2020-04-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2020-04-12_final.stac-item
2020-04-19 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-04-19_final
2020-04-29 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2020-04-29_final
2020-06-02 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-06-02_final.stac-item
2020-06-05 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-06-05_final
2020-08-27 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2020-08-27_final
2020-10-07 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-07_final.stac-item
2020-11-05 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2020-11-05_final
2020-11-25 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2020-11-25_final
2020-12-05 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2020-12-05_final
2021-01-14 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-01-14_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final
2021-03-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-28_final
2021-04-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-04-01_final
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final.stac-item
2021-05-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-05-21_final
2021-05-21 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-05-21_final
2021-05-28 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-05-28_final
2021-05-31 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-05-31_final
2021-06-13 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-06-13_final
2021-07-13 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2021-07-13_final
2021-08-29 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-29_final
2021-09-05 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-05_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-10-01 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-10-01_final
2021-10-02 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-10-02_final.stac-item
2021-10-15 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-10-15_final
2021-11-23 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2021-11-23_final
2022-01-20 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2022-01-20_final
2022-03-07 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-03-07_final
2022-03-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-03-20_final
2022-03-20 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-03-20_final
2022-04-29 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2022-04-29_final
2022-05-19 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2022-05-19_final
2022-08-08 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2022-08-08_final.stac-item
2022-11-15 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2022-11-15_final.stac-item
2022-11-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-11-25_final.stac-item
2022-11-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-25_final.stac-item
2022-12-15 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-15_final.stac-item
2023-01-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-01-01_final.stac-item
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-01-04_final.stac-item
2023-02-03 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-02-03_final.stac-item
2023-02-10 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-10_final.stac-item
2023-02-13 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-02-13_final.stac-item
2023-03-19 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-03-19_final.stac-item
2023-04-28 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2023-04-28_final.stac-item
2023-05-18 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-05-18_final.stac-item
2023-05-28 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-28_final.stac-item
2023-06-03 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-06-03_final.stac-item
2023-06-17 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-06-17_final.stac-item
2023-08-12 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-08-12_final.stac-item
2023-10-11 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-11_final.stac-item
2023-11-17 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-11-17_final.stac-item
2023-12-20 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2023-12-20_final.stac-item
2024-02-22 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-22_final.stac-item
2024-02-29 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-02-29_final.stac-item
2024-03-06 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2024-03-06_final.stac-item
2024-04-12 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-04-12_final.stac-item
2024-05-15 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2024-05-15_nrt.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