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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2017-09-12_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMJ_2018-02-03_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMK_2018-02-03_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPH_2018-04-04_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHN_2018-04-20_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKN_2018-05-10_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-19_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-23_final
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final
2018-12-13 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2018-12-13_final.stac-item
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2018-12-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-12-27_final.stac-item
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2018-12-29_final
2018-12-30 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2018-12-30_final.stac-item
2019-01-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-01-08_final
2019-01-09 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-01-09_final
2019-01-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-01-22_final
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-03-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-03-20_final.stac-item
2019-05-09 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-09_final.stac-item
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final
2019-05-29 11:46:56	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final
2019-12-08 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2019-12-08_final
2020-01-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-01-07_final
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final
2020-02-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-02-09_final
2020-02-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-02-16_final
2020-03-03 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2020-03-03_final.stac-item
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-04-16 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2020-04-16_final.stac-item
2020-04-23 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-04-23_final
2020-05-30 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-05-30_final.stac-item
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-06-21 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-06-21_final
2020-06-29 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-29_final.stac-item
2020-07-02 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-02_final.stac-item
2020-07-29 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-07-29_final.stac-item
2020-10-10 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-10_final
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final
2020-10-26 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-26_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final
2021-01-18 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-18_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-24_final
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final.stac-item
2021-04-04 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-04-04_final
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-05-11 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-05-11_final.stac-item
2021-06-14 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-06-14_final
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-10 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-07-10_final.stac-item
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final
2021-10-14 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-14_final
2021-10-28 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-10-28_final.stac-item
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final
2022-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-01-30_final.stac-item
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2022-02-08_final.stac-item
2022-02-11 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-11_final
2022-02-18 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-02-18_final
2022-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-14_final.stac-item
2022-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-24_final.stac-item
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-06-19 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-06-19_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2022-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-09_final.stac-item
2022-11-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-11-09_final.stac-item
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-15_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2023-05-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-05-05_final.stac-item
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final.stac-item
2023-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-24_final.stac-item
2023-09-22 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-09-22_final.stac-item
2023-10-11 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-11_final.stac-item
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final.stac-item
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final.stac-item
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final.stac-item
2024-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-02-05_final.stac-item
2024-02-29 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-02-29_final.stac-item
2024-03-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_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