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
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HMJ_2017-08-10_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2017-08-13_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPG_2017-10-06_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2017-11-08_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPG_2017-12-02_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-01-13_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2018-02-10_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-02-19_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLH_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMJ_2018-03-08_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-11_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKP_2018-03-18_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKR_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLM_2018-04-07_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLN_2018-04-20_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLN_2018-08-15_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-08-29_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JFM_2018-09-10_final
2018-12-10 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2018-12-10_final.stac-item
2018-12-23 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-23_final
2018-12-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-12-27_final.stac-item
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final
2019-01-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-01-15_final.stac-item
2019-01-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-19_final
2019-03-26 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-03-26_final
2019-03-30 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-03-30_final
2019-04-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2019-04-09_final
2019-04-15 12:06:01	ga_s2bm_ard_3-2-1_50JKN_2019-04-15_final
2019-04-25 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2019-04-25_final
2019-04-26 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-04-26_final
2019-05-02 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-05-02_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-06-04 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-06-04_final
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final
2019-11-05 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-11-05_final.stac-item
2019-11-15 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-11-15_final
2019-12-25 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-25_final.stac-item
2020-01-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-01-07_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-02-12 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2020-02-12_final.stac-item
2020-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-05-23_final.stac-item
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final.stac-item
2020-07-08 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-07-08_final
2020-08-31 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-08-31_final.stac-item
2020-10-26 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-10-26_final
2020-11-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-11-02_final
2021-01-18 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-01-18_final.stac-item
2021-03-09 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-03-09_final.stac-item
2021-03-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-03-16_final
2021-03-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-03-19_final
2021-04-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-04-14_final
2021-05-31 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-05-31_final
2021-06-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-03_final
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final
2021-06-23 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-06-23_final
2021-06-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-06-27_final
2021-06-30 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-30_final
2021-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-07-07_final
2021-07-10 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-10_final
2021-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-17_final.stac-item
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final
2021-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-08-06_final.stac-item
2021-08-13 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-08-13_final
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final
2021-08-22 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-08-22_final
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-21_final.stac-item
2021-10-24 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-11-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-11-17_final
2022-01-06 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2022-01-06_final.stac-item
2022-02-28 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-02-28_final.stac-item
2022-04-30 11:37:20	ga_s2bm_ard_3-2-1_50HNG_2022-04-30_final.stac-item
2022-05-26 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2022-05-26_final.stac-item
2022-07-25 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-25_final.stac-item
2022-12-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-12-25_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-01-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-01-28_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-05-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-05-08_final.stac-item
2023-11-07 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-11-07_final.stac-item
2024-02-09 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2024-02-09_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 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2024-03-20_final.stac-item
2024-04-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-05_final.stac-item
2024-04-12 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-04-12_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