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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final.stac-item
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_50JLQ_2017-08-23_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPK_2017-12-15_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKN_2017-12-28_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JLN_2018-01-20_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPJ_2018-02-13_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKP_2018-03-31_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLN_2018-06-06_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-06-29_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHM_2018-08-18_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLQ_2018-09-04_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKQ_2018-09-07_final
2018-11-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2018-11-10_final
2018-11-26 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2018-11-26_final
2018-11-30 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2018-11-30_final
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final
2018-12-27 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final.stac-item
2019-01-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-01-16_final
2019-01-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-01-22_final
2019-02-01 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-02-01_final
2019-02-07 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-02-07_final
2019-02-18 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-02-18_final
2019-02-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2019-02-27_final
2019-05-02 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-05-02_final
2019-08-13 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-08-13_final
2019-09-22 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2019-09-22_final
2019-10-03 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-10-03_final
2019-10-12 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-12_final
2020-01-01 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-01-01_final
2020-01-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-01-04_final
2020-01-21 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2020-01-21_final
2020-03-31 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-31_final
2020-04-16 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2020-04-16_final
2020-06-09 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-09_final.stac-item
2020-06-18 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-18_final
2020-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-22_final
2020-07-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-07-28_final
2020-09-26 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-26_final
2020-10-06 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-10-06_final
2020-10-30 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-10-30_final.stac-item
2020-11-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2020-11-25_final
2020-11-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2020-11-26_final.stac-item
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-11-28_final
2021-03-15 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-04-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-04-07_final
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final.stac-item
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final.stac-item
2021-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-07_final
2021-06-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-27_final
2021-08-03 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-08-03_final
2021-09-05 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2021-09-05_final
2021-09-24 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-09-24_final
2021-11-04 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-11-04_final
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2022-01-19 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-19_final
2022-01-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-01-23_final.stac-item
2022-01-29 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2022-01-29_final
2022-01-29 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-01-29_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-04-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-04-06_final
2022-06-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-06-22_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-05 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-05_final
2022-08-04 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2022-08-04_final
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final
2022-10-20 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-10-20_final.stac-item
2022-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final.stac-item
2023-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-02-13_final.stac-item
2023-03-22 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-03-22_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-04-18 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-04-18_final.stac-item
2023-04-18 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-04-18_final.stac-item
2023-04-21 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-21_final.stac-item
2023-04-25 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-04-25_final.stac-item
2023-06-20 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-06-20_final.stac-item
2023-06-20 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-06-20_final.stac-item
2023-06-23 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-06-23_final.stac-item
2023-07-10 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-07-10_final.stac-item
2023-08-19 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-08-19_final.stac-item
2023-09-18 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-18_final.stac-item
2023-10-31 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-31_final.stac-item
2023-11-14 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2023-11-14_final.stac-item
2023-11-14 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-11-14_final.stac-item
2023-11-14 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-11-14_final.stac-item
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final.stac-item
2023-12-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-12-04_final.stac-item
2024-01-13 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2024-01-13_final.stac-item
2024-03-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2024-03-12_final.stac-item
2024-03-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-12_final.stac-item
2024-03-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-03-22_final.stac-item
2024-03-29 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2024-03-29_final.stac-item
2024-04-18 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-04-18_final.stac-item
2024-04-21 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-04-21_final.stac-item
2024-05-01 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2024-05-01_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