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_50HPK_2017-08-27_final
2017-09-16 11:47:11	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-11-14_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HNK_2017-12-08_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLG_2017-12-15_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKP_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNG_2018-01-04_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPG_2018-01-04_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-02-09_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKP_2018-03-18_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2018-03-28_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPK_2018-04-21_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMK_2018-04-24_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-05-30_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-23_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HLG_2018-09-01_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPG_2018-09-01_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HLG_2018-10-21_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMH_2018-10-31_final
2018-12-16 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2018-12-16_final
2019-01-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-01-08_final
2019-01-16 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2019-01-16_final.stac-item
2019-01-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-19_final
2019-02-28 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-02-28_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-03-16 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-03-16_final
2019-03-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-03-23_final
2019-04-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2019-04-09_final.stac-item
2019-04-12 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2019-04-12_final
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-05-22 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-22_final.stac-item
2019-06-24 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-24_final
2019-07-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-07-25_final
2019-08-24 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2019-08-24_final
2019-11-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2019-11-22_final
2019-12-18 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-18_final
2019-12-21 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-21_final
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final
2020-06-18 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-18_final
2020-07-22 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final
2020-10-10 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-10_final
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final
2020-11-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-11-05_final
2021-01-28 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-28_final
2021-03-02 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-02_final
2021-03-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-03-15_final
2021-03-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-25_final
2021-05-11 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-05-11_final
2021-05-14 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-05-14_final.stac-item
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final.stac-item
2021-08-09 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-08-09_final
2021-08-19 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-08-19_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2021-09-05 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-05_final
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final
2022-01-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-06_final
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final
2022-02-08 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2022-02-08_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-07_final
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-08-27 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-08-27_final.stac-item
2022-09-09 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-09_final.stac-item
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-11-12 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-11-12_final.stac-item
2022-11-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-11-19_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2022-12-16 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-12-16_final.stac-item
2023-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-01-31 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-01-31_final.stac-item
2023-03-06 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-06_final.stac-item
2023-05-27 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-05-27_final.stac-item
2023-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-07_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-10-08 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-11 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-10-11_final.stac-item
2023-10-11 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-11_final.stac-item
2023-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-28_final.stac-item
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final.stac-item
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final.stac-item
2023-12-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-10_final.stac-item
2023-12-17 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-12-17_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final.stac-item
2024-01-06 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_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