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 12:04:34	ga_s2bm_ard_3-2-1_49JGL_2017-07-04_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HQJ_2017-08-27_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JHM_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLP_2017-10-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HNH_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HPH_2017-11-25_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPH_2017-12-02_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-12-21_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-24_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNH_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNH_2018-01-04_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHP_2018-01-10_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKS_2018-03-31_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HQK_2018-04-24_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPJ_2018-05-11_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-06-09_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-29_final
2018-11-10 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2018-11-10_final
2018-12-26 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2018-12-26_final
2019-01-29 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-01-29_final
2019-02-11 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-02-11_final
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-04-05_final
2019-08-04 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-08-04_final.stac-item
2019-10-09 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2019-10-09_final
2019-11-18 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2019-11-18_final
2019-12-28 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2019-12-28_final
2020-01-14 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-01-14_final
2020-03-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-03-24_final
2020-03-24 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-24_final
2020-03-31 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2020-03-31_final
2020-04-06 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-04-06_final
2020-05-09 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-05-09_final
2020-05-29 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-05-29_final
2020-07-08 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2020-07-08_final
2020-08-08 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-08-08_final
2020-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final
2020-11-19 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2020-11-19_final
2020-11-25 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-25_final
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final
2021-01-14 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2021-01-14_final
2021-01-31 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-31_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-02-13_final.stac-item
2021-02-20 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2021-02-20_final
2021-03-05 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final
2021-05-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-05-21_final
2021-05-24 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-05-24_final
2021-06-04 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-06-04_final
2021-08-12 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-08-12_final
2021-10-01 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final
2021-10-15 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-15_final.stac-item
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final
2021-12-30 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2021-12-30_final
2022-01-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-01-23_final
2022-01-26 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2022-01-26_final
2022-02-05 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2022-02-05_final
2022-02-28 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-02-28_final
2022-03-03 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-03-03_final
2022-03-07 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-03-07_final
2022-03-11 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-03-11_final
2022-04-30 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2022-04-30_final
2022-06-22 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-06-22_final.stac-item
2022-07-05 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-05_final.stac-item
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final
2022-08-07 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2022-08-07_final
2022-09-17 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-09-17_final.stac-item
2022-10-13 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-10-13_final.stac-item
2022-11-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-11-08_final.stac-item
2022-11-22 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-11-22_final.stac-item
2022-12-05 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-12-05_final.stac-item
2022-12-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-12-29_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2023-01-14_final.stac-item
2023-01-17 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-01-17_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-01-31 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2023-01-31_final.stac-item
2023-02-20 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-02-20_final.stac-item
2023-02-23 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-02-23_final.stac-item
2023-03-22 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-03-22_final.stac-item
2023-04-04 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-04-04_final.stac-item
2023-04-21 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-04-21_final.stac-item
2023-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-05-08_final.stac-item
2023-05-31 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2023-05-31_final.stac-item
2023-06-10 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-06-10_final.stac-item
2023-06-13 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-06-13_final.stac-item
2023-07-17 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-17_final.stac-item
2023-08-26 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2023-08-26_final.stac-item
2023-09-11 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-09-11_final.stac-item
2023-10-21 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-21_final.stac-item
2023-11-21 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2023-11-21_final.stac-item
2023-12-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-12-04_final.stac-item
2023-12-10 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-10_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final.stac-item
2023-12-20 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2023-12-20_final.stac-item
2023-12-24 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-12-24_final.stac-item
2023-12-27 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-12-27_final.stac-item
2024-01-29 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2024-01-29_final.stac-item
2024-03-06 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2024-03-06_final.stac-item
2024-03-16 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2024-03-16_final.stac-item
2024-03-23 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2024-03-23_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