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_50HLK_2017-08-10_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHR_2017-08-26_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHP_2017-09-02_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLN_2017-09-29_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLJ_2018-01-07_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-01-13_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLN_2018-02-06_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLH_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLN_2018-05-07_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HPK_2018-06-03_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKP_2018-07-29_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKP_2018-08-08_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPK_2018-08-19_final
2018-11-07 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-07_final
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-03 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2018-12-03_final
2019-01-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-01-05_final.stac-item
2019-02-21 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2019-02-21_final
2019-04-28 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2019-04-28_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final
2019-05-22 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-05-22_final
2019-05-26 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-26_final
2019-07-08 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-08_final
2019-07-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-07-28_final
2019-08-03 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-08-03_final
2019-08-16 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-08-16_final
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2019-08-23_final
2019-10-02 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-02_final
2019-10-15 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-15_final
2019-12-12 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2019-12-12_final
2019-12-31 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-31_final
2020-01-27 11:56:47	ga_s2bm_ard_3-2-1_50HLJ_2020-01-27_final
2020-02-09 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2020-02-09_final
2020-02-29 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-02-29_final
2020-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-14_final
2020-05-06 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-05-06_final
2020-05-09 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-05-09_final
2020-05-26 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2020-05-26_final
2020-06-05 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-05_final
2020-07-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-07-15_final
2020-07-28 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-07-28_final
2020-08-01 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-08-01_final
2020-10-17 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-17_final
2020-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-11-05_final
2020-11-16 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-11-16_final
2020-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-12-12_final
2020-12-22 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-22_final.stac-item
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-04-05 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-04-05_final
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final
2021-06-30 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-30_final
2021-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-17_final
2021-08-22 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-08-22_final
2021-10-21 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-21_final
2021-10-21 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-10-21_final
2021-10-31 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-31_final
2021-11-04 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-11-04_final
2021-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-11-27_final
2021-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final
2022-01-09 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2022-01-09_final
2022-02-02 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2022-02-02_final
2022-02-08 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2022-02-08_final
2022-03-07 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-03-07_final
2022-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-03-13_final
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final
2022-05-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-05-10_final
2022-05-19 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-05-19_final
2022-06-15 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2022-06-15_final
2022-07-02 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-02_final
2022-07-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-28_final
2022-08-14 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2022-08-14_final
2022-09-26 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2022-09-26_final.stac-item
2022-09-27 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2022-09-27_final.stac-item
2022-09-30 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-09-30_final.stac-item
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final.stac-item
2023-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-01-28 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-01-28_final.stac-item
2023-02-20 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-02-20_final.stac-item
2023-06-03 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final.stac-item
2023-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-17_final.stac-item
2023-06-23 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-06-23_final.stac-item
2023-07-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-07-16_final.stac-item
2023-07-20 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-07-20_final.stac-item
2023-08-26 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-08-26_final.stac-item
2023-08-29 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-08-29_final.stac-item
2023-09-11 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-09-11_final.stac-item
2023-10-18 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2023-10-18_final.stac-item
2023-11-01 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-11-01_final.stac-item
2024-01-06 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2024-01-06_final.stac-item
2024-01-10 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-01-10_final.stac-item
2024-02-09 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2024-02-09_final.stac-item
2024-02-18 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_final.stac-item
2024-03-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2024-03-06_final.stac-item
2024-03-16 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2024-03-16_final.stac-item
2024-04-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-04-15_final.stac-item
2024-04-25 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-04-25_nrt.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