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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50KKU_2017-09-22_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JQM_2017-10-26_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-11-21_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HPH_2017-11-22_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNH_2018-03-05_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-03-24_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JNM_2018-04-17_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JQL_2018-05-04_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JLP_2018-05-20_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-03_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HMG_2018-06-03_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLN_2018-06-06_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPG_2018-07-30_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLT_2018-09-07_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-09-11_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKQ_2018-09-27_final
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final
2019-01-26 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-01-26_final
2019-04-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-04-06_final
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-04-25_final
2019-05-02 11:55:49	ga_s2bm_ard_3-2-1_50JLP_2019-05-02_final
2019-05-15 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-15_final
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final
2019-05-22 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2019-05-22_final
2019-05-28 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-05-28_final
2019-06-17 12:14:34	ga_s2bm_ard_3-2-1_49KGP_2019-06-17_final
2019-07-18 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-18_final.stac-item
2019-07-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-07-28_final
2019-08-30 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2019-08-30_final
2019-09-15 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-09-15_final
2019-11-11 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2019-11-11_final
2020-01-14 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-01-14_final
2020-01-23 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-01-23_final
2020-01-27 11:55:49	ga_s2bm_ard_3-2-1_50JLN_2020-01-27_final
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final
2020-02-06 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2020-02-06_final
2020-02-10 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2020-02-10_final
2020-02-19 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2020-02-19_final
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-02-19_final
2020-02-29 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-02-29_final
2020-02-29 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-02-29_final
2020-03-31 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-31_final
2020-04-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2020-04-09_final
2020-04-09 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2020-04-09_final
2020-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-04-16_final
2020-07-21 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-21_final
2020-08-14 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-14_final
2020-08-31 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-08-31_final
2020-09-10 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-09-10_final.stac-item
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final
2020-11-25 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-11-25_final
2021-01-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-14_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final
2021-04-25 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-04-25_final
2021-05-08 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-05-08_final
2021-05-11 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-05-11_final.stac-item
2021-06-06 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-06_final
2021-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-07_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-06-23_final
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-07-07 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-07_final
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final
2021-07-30 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-30_final
2021-08-06 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-08-06_final
2021-08-29 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2021-08-29_final
2021-09-14 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2021-09-14_final
2021-09-24 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-09-24_final
2021-10-01 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-10-01_final
2021-11-04 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-11-04_final
2021-11-04 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-11-04_final
2021-11-17 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-11-17_final
2021-12-04 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-12-04_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-03-24 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2022-03-24_final
2022-04-10 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-04-10_final.stac-item
2022-05-09 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-05-09_final
2022-05-19 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-05-19_final
2022-06-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-06-21_final
2022-08-11 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2022-08-11_final
2022-08-18 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2022-08-18_final
2022-09-10 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2022-09-10_final.stac-item
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-09-29_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2022-12-15 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-12-15_final.stac-item
2022-12-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-12-25_final.stac-item
2023-01-27 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-01-27_final.stac-item
2023-02-07 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2023-02-07_final.stac-item
2023-05-11 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-05-11_final.stac-item
2023-05-17 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-05-17_final.stac-item
2023-06-10 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-06-10_final.stac-item
2023-06-14 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-06-14_final.stac-item
2023-06-27 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-06-27_final.stac-item
2023-07-06 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-07-06_final.stac-item
2023-10-08 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-21_final.stac-item
2023-11-13 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-11-13_final.stac-item
2023-12-04 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-12-04_final.stac-item
2023-12-30 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-12-30_final.stac-item
2024-01-26 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-01-26_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