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
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLM_2017-10-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLP_2017-12-28_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JLP_2018-01-07_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLK_2018-01-07_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLH_2018-01-14_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLP_2018-01-27_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLL_2018-01-27_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLL_2018-02-06_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLK_2018-02-16_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2018-04-07_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLL_2018-04-27_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNG_2018-05-04_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNJ_2018-05-04_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-06-19_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLP_2018-06-19_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHN_2018-07-09_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKT_2018-09-07_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQK_2018-09-11_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLP_2018-09-14_final
2018-11-16 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2018-11-16_final
2018-11-30 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2018-11-30_final
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-02-01 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-01_final
2019-02-04 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2019-02-04_final
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final
2019-02-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-02-21_final
2019-02-28 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-02-28_final
2019-03-03 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2019-03-03_final
2019-05-05 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2019-05-05_final
2019-05-19 11:46:53	ga_s2bm_ard_3-2-1_50HNK_2019-05-19_final
2019-05-19 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-05-19_final
2019-07-24 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-24_final
2019-07-24 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2019-07-24_final
2019-07-28 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-07-28_final
2019-08-23 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2019-08-23_final
2019-11-11 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2019-11-11_final
2019-11-15 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-11-15_final
2019-11-18 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2019-11-18_final
2019-12-08 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2019-12-08_final
2019-12-12 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2019-12-12_final.stac-item
2019-12-28 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2019-12-28_final
2020-02-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-02-09_final
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final
2020-02-20 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-02-20_final
2020-03-04 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-03-04_final
2020-03-10 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-10_final
2020-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final
2020-04-06 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-04-06_final.stac-item
2020-04-16 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-16_final
2020-06-25 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-06-25_final
2020-06-28 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-06-28_final
2020-08-07 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-07_final
2020-08-17 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-17_final
2020-09-03 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-09-03_final
2020-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-09-16_final
2020-09-23 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-09-23_final
2020-09-30 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-09-30_final
2020-12-19 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-12-19_final
2020-12-29 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2020-12-29_final
2021-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-01-04_final
2021-01-08 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-01-08_final
2021-03-02 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-03-02_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-07-03_final
2021-10-11 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-10-11_final
2021-10-31 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-31_final
2021-11-27 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-11-27_final
2021-12-10 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2021-12-10_final
2022-02-02 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-02_final
2022-03-30 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-03-30_final
2022-04-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2022-04-06_final
2022-04-23 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-04-23_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2022-07-12 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2022-07-12_final
2022-07-12 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-12_final
2022-09-30 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-09-30_final.stac-item
2022-10-29 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-10-29_final.stac-item
2022-11-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-11-22_final.stac-item
2023-01-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-01-14_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2023-03-06_final.stac-item
2023-03-25 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-03-25_final.stac-item
2023-05-28 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-05-28_final.stac-item
2023-07-23 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2023-07-23_final.stac-item
2023-09-11 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-09-11_final.stac-item
2023-09-25 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-09-25_final.stac-item
2023-09-28 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2023-09-28_final.stac-item
2023-10-11 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-11_final.stac-item
2023-10-25 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-10-25_final.stac-item
2023-11-10 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2023-11-10_final.stac-item
2023-11-14 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2023-11-14_final.stac-item
2023-12-04 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-12-04_final.stac-item
2023-12-10 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-12-10_final.stac-item
2023-12-11 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2023-12-11_final.stac-item
2023-12-17 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2023-12-17_final.stac-item
2024-02-02 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-02_final.stac-item
2024-02-02 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2024-02-02_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final.stac-item
2024-03-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2024-03-20_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