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
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQJ_2017-11-15_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-01-03_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPH_2018-03-05_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKP_2018-03-08_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPH_2018-05-04_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-05-20_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKR_2018-05-30_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQK_2018-08-02_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-08-08_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-08-12_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHP_2018-09-10_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2018-10-27_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMK_2018-11-03_final
2018-11-30 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2018-11-30_final
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2018-12-27 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2018-12-27_final
2019-01-15 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-01-15_final
2019-02-08 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-02-08_final
2019-02-25 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-02-25_final
2019-03-03 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-03-03_final.stac-item
2019-03-20 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-03-20_final
2019-07-08 11:46:39	ga_s2bm_ard_3-2-1_50HQK_2019-07-08_final
2019-07-21 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-07-21_final
2019-08-07 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-08-07_final
2019-08-20 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2019-08-20_final
2019-09-16 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-09-16_final
2019-09-29 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-09-29_final
2019-10-09 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2019-10-09_final
2019-11-01 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-11-01_final
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final
2019-12-01 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2019-12-01_final
2019-12-05 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2019-12-05_final
2019-12-05 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-12-05_final
2019-12-05 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2019-12-05_final
2020-01-01 11:36:40	ga_s2bm_ard_3-2-1_50HPJ_2020-01-01_final
2020-01-04 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2020-01-04_final
2020-01-04 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-04_final
2020-01-10 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-01-10_final
2020-01-30 12:04:11	ga_s2bm_ard_3-2-1_49KGQ_2020-01-30_final
2020-02-09 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-02-09_final
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-20_final.stac-item
2020-04-30 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-04-30_final
2020-05-10 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-05-10_final.stac-item
2020-06-09 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-09_final.stac-item
2020-07-05 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-07-05_final
2020-11-05 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-11-05_final
2020-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-12-19_final
2021-01-07 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-07_final
2021-01-28 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-28_final
2021-02-20 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-02-20_final
2021-03-05 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-05_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-03-15_final
2021-03-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-18_final
2021-05-14 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-05-14_final
2021-05-24 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2021-05-24_final
2021-06-20 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-20_final
2021-07-04 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-04_final.stac-item
2021-10-04 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-04_final.stac-item
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-10-11_final
2021-10-11 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-10-11_final
2021-11-20 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-11-20_final
2021-12-24 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-24_final
2021-12-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final
2022-01-13 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-01-13_final
2022-02-22 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-22_final
2022-03-07 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-03-07_final
2022-03-24 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2022-03-24_final
2022-05-09 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-05-09_final
2022-08-31 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2022-08-31_final
2022-11-22 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-11-22_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_final.stac-item
2022-12-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-12-29_final.stac-item
2023-01-24 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-01-24_final.stac-item
2023-03-15 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final.stac-item
2023-03-29 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-03-29_final.stac-item
2023-04-21 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-04-21_final.stac-item
2023-05-08 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-05-08_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-23_final.stac-item
2023-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-06-30_final.stac-item
2023-07-07 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-07_final.stac-item
2023-07-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-07-13_final.stac-item
2023-07-20 11:55:48	ga_s2bm_ard_3-2-1_50JLP_2023-07-20_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-08-09 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-08-09_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final.stac-item
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final.stac-item
2023-10-08 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-10-08_final.stac-item
2023-11-01 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-11-01_final.stac-item
2023-11-10 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2023-11-10_final.stac-item
2023-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-20_final.stac-item
2023-11-30 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-11-30_final.stac-item
2024-01-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-01-16_final.stac-item
2024-01-30 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-01-30_final.stac-item
2024-02-01 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2024-02-01_final.stac-item
2024-02-28 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2024-02-28_final.stac-item
2024-03-06 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2024-03-06_final.stac-item
2024-03-23 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2024-03-23_final.stac-item
2024-04-08 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2024-04-08_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