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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2017-08-13_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HQH_2017-08-14_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMH_2017-12-28_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKN_2018-02-16_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNG_2018-03-05_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNK_2018-04-14_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNK_2018-04-24_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKP_2018-04-27_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKM_2018-05-07_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQJ_2018-06-30_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGN_2018-08-01_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-08-08_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-08-28_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-04_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMJ_2018-09-14_final
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final
2019-01-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-01-02_final
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-01-08_final
2019-02-04 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-02-04_final
2019-03-19 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-03-19_final
2019-08-04 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-08-04_final
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final
2019-10-06 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-10-06_final
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final
2019-11-11 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-11-11_final
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2019-11-21_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-31_final.stac-item
2020-02-22 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-02-22_final
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final
2020-05-09 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-05-09_final
2020-05-16 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2020-05-16_final
2020-06-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-28_final
2020-08-04 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-08-04_final
2020-09-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-27_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2020-10-10 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-10_final
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final
2020-11-28 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-11-28_final
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2020-12-22 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-22_final
2021-01-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-14_final
2021-01-31 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-31_final
2021-05-31 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-05-31_final
2021-06-23 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-23_final
2021-06-24 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-06-24_final
2021-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-30_final
2021-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-08-03_final
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final.stac-item
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final
2021-08-29 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-08-29_final
2021-09-05 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-05_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final
2021-11-04 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-11-04_final
2021-12-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-11_final
2021-12-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-12-27_final
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final
2022-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-20_final
2022-05-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-22_final
2022-06-02 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-06-02_final
2022-06-02 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-06-02_final
2022-06-28 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-06-28_final
2022-09-06 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-09-06_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-10-19 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-10-19_final.stac-item
2022-12-05 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-12-05_final.stac-item
2023-01-01 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-01-01_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-31 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-31_final.stac-item
2023-03-15 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-03-15_final.stac-item
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final.stac-item
2023-05-25 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-05-25_final.stac-item
2023-06-06 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-06_final.stac-item
2023-07-10 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-07-10_final.stac-item
2023-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-07-10_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-27_final.stac-item
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final.stac-item
2023-09-21 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-21_final.stac-item
2023-09-25 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-09-25_final.stac-item
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2023-11-23_final.stac-item
2023-11-27 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-11-27_final.stac-item
2023-11-27 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-11-27_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final.stac-item
2024-01-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2024-01-13_final.stac-item
2024-01-16 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final.stac-item
2024-02-05 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-02-05_final.stac-item
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final.stac-item
2024-03-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-03-23_final.stac-item
2024-03-23 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2024-03-23_final.stac-item
2024-04-12 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-04-12_final.stac-item
2024-04-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_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