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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HQK_2017-08-27_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPH_2017-09-16_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-13_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JLN_2017-11-08_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JHN_2017-11-11_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-12-08_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-25_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLT_2017-12-31_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLM_2018-03-08_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JML_2018-05-07_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGM_2018-05-13_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-05-14_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPG_2018-05-21_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMJ_2018-06-06_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2018-06-09_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JKP_2018-07-06_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKQ_2018-09-17_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLN_2018-09-24_final
2018-11-23 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2018-11-23_final
2018-12-10 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2018-12-10_final
2018-12-30 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-12-30_final
2018-12-30 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2018-12-30_final
2019-03-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-09_final
2019-03-10 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2019-03-10_final
2019-04-02 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2019-04-02_final
2019-04-08 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2019-04-08_final
2019-04-12 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2019-04-12_final
2019-05-12 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-12_final
2019-05-22 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-22_final
2019-06-17 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-06-17_final
2019-08-30 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2019-08-30_final
2019-09-09 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2019-09-09_final
2019-09-13 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-09-13_final.stac-item
2019-09-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-09-22_final
2019-11-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-11-05_final
2019-12-08 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2019-12-08_final
2020-01-14 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-14_final
2020-01-30 12:05:15	ga_s2bm_ard_3-2-1_50JLQ_2020-01-30_final
2020-02-02 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-02-02_final
2020-04-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final
2020-04-12 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2020-04-12_final
2020-05-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2020-05-16_final
2020-06-05 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2020-06-05_final.stac-item
2020-07-12 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-12_final
2020-08-08 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-08-08_final
2020-08-31 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-31_final
2020-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-09-13_final
2020-10-03 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-10-03_final
2020-10-26 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-26_final
2020-11-25 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2020-11-25_final
2020-12-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2020-12-06_final
2020-12-09 11:46:24	ga_s2bm_ard_3-2-1_50JML_2020-12-09_final
2021-01-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-01-17_final
2021-01-24 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-24_final
2021-02-20 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-02-20_final
2021-04-01 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-04-01_final
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final
2021-05-27 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-05-27_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHP_2021-09-01_final
2021-10-01 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2021-10-01_final
2021-10-24 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-10-24_final
2021-11-07 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-11-07_final
2021-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-11-24_final
2021-11-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-11-27_final
2022-01-06 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2022-01-06_final
2022-02-02 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-02_final
2022-02-15 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-15_final
2022-04-06 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2022-04-06_final
2022-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-04-19_final
2022-05-10 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-05-10_final
2022-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-06-02_final
2022-08-18 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2022-08-18_final
2022-08-20 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-08-20_final
2022-09-27 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-09-27_final.stac-item
2022-10-03 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2022-10-03_final.stac-item
2022-12-09 11:46:22	ga_s2bm_ard_3-2-1_50JML_2022-12-09_final.stac-item
2022-12-12 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2022-12-12_final.stac-item
2023-01-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-08_final.stac-item
2023-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-01-18_final.stac-item
2023-02-06 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-02-06_final.stac-item
2023-02-10 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2023-02-10_final.stac-item
2023-05-01 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-05-01_final.stac-item
2023-06-03 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-06-03_final.stac-item
2023-06-17 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-06-17_final.stac-item
2023-06-23 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2023-06-23_final.stac-item
2023-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-06_final.stac-item
2023-07-06 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2023-07-06_final.stac-item
2023-10-12 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-10-12_final.stac-item
2023-10-31 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-31_final.stac-item
2023-11-11 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-11-11_final.stac-item
2023-11-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-17_final.stac-item
2023-11-24 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2023-11-24_final.stac-item
2023-12-07 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2023-12-07_final.stac-item
2024-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2024-02-02_final.stac-item
2024-02-08 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2024-02-08_final.stac-item
2024-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-02-22_final.stac-item
2024-02-22 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-02-22_final.stac-item
2024-03-10 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2024-03-10_final.stac-item
2024-04-02 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2024-04-02_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