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_50HNJ_2017-08-27_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPG_2017-09-23_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-25_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-06-12_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGM_2018-07-09_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2018-09-27_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLP_2018-10-24_final
2018-12-16 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2018-12-16_final
2018-12-16 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2018-12-16_final
2019-01-22 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-01-22_final
2019-02-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-02-11_final
2019-02-15 11:36:31	ga_s2bm_ard_3-2-1_50HPK_2019-02-15_final
2019-03-13 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2019-03-13_final
2019-03-13 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2019-03-13_final
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final
2019-05-02 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-05-02_final
2019-05-05 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-05-05_final
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final
2019-06-01 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-06-01_final
2019-06-14 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-06-14_final
2019-06-18 11:47:17	ga_s2bm_ard_3-2-1_50HMH_2019-06-18_final
2019-09-22 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-09-22_final
2019-10-03 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-10-03_final
2019-10-12 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2019-10-12_final
2019-11-24 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-11-24_final
2019-12-08 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2019-12-08_final
2020-01-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-01-10_final
2020-03-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-03_final
2020-04-12 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2020-04-12_final
2020-05-03 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-05-03_final
2020-05-19 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2020-05-19_final
2020-05-26 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2020-05-26_final
2020-06-02 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-06-02_final
2020-06-18 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-18_final
2020-07-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-07-21_final
2020-08-14 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-08-14_final.stac-item
2020-09-26 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-26_final
2020-10-07 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-10-07_final
2020-12-22 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-22_final
2021-01-11 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-11_final
2021-01-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-01-14_final
2021-01-28 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-28_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final
2021-03-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-15_final
2021-05-31 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-05-31_final
2021-06-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final
2021-07-26 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-26_final
2021-08-02 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-08-02_final
2021-09-11 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-09-11_final
2021-10-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-10-11_final
2021-10-28 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2021-10-28_final
2021-11-04 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-11-04_final
2021-11-14 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-11-14_final.stac-item
2021-11-23 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2021-11-23_final
2021-11-24 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-11-24_final.stac-item
2021-12-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final
2021-12-20 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-12-20_final
2021-12-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-24_final
2022-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-01-30_final.stac-item
2022-02-02 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2022-02-02_final
2022-03-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2022-03-04_final
2022-03-07 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2022-03-07_final
2022-03-30 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-03-30_final
2022-05-03 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-03_final
2022-05-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-06_final
2022-05-09 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-05-09_final
2022-05-26 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2022-05-26_final
2022-06-02 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2022-06-02_final.stac-item
2022-07-11 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-11_final
2022-08-10 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2022-08-10_final
2022-08-14 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2022-08-14_final
2022-12-09 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-12-09_final.stac-item
2022-12-18 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-12-18_final.stac-item
2022-12-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-12-28_final.stac-item
2023-01-04 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-01-04_final.stac-item
2023-01-24 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-24_final.stac-item
2023-03-05 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-03-05_final.stac-item
2023-03-08 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-03-08_final.stac-item
2023-03-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-03-09_final.stac-item
2023-04-15 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-04-15_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-05-15 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-05-15_final.stac-item
2023-06-27 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-27_final.stac-item
2023-08-15 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-08-15_final.stac-item
2023-09-01 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-09-01_final.stac-item
2023-09-28 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-09-28_final.stac-item
2023-10-28 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2023-10-28_final.stac-item
2023-10-31 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-31_final.stac-item
2023-11-14 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-11-14_final.stac-item
2023-11-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2023-11-23_final.stac-item
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final.stac-item
2023-12-11 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-12-11_final.stac-item
2024-01-12 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2024-01-12_nrt.stac-item
2024-01-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2024-01-13_final.stac-item
2024-01-19 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2024-01-19_final.stac-item
2024-01-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2024-01-23_final.stac-item
2024-03-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2024-03-03_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