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
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGJ_2018-06-29_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLJ_2018-10-04_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-10-10_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLK_2018-11-03_final
2018-11-16 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2018-11-16_final
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final
2018-12-03 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2018-12-03_final
2019-05-08 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-08_final
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final
2019-06-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-31 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-07-31_final
2019-08-16 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2019-08-16_final
2019-09-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-09-15_final
2019-09-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-09-15_final
2019-09-19 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-09-19_final
2019-09-22 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-09-22_final
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-09-22_final
2019-09-22 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-09-22_final
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final
2019-10-12 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-12_final
2019-10-15 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-15_final
2019-11-01 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-11-01_final
2019-11-18 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-11-18_final
2020-01-20 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2020-01-20_final
2020-04-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-04-09_final
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-05-02 12:14:01	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-05-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-05-06_final
2020-05-13 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2020-05-13_final
2020-05-22 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-05-22_final
2020-05-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-06-01 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-01_final
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final
2020-06-21 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-06-21_final
2020-06-21 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-06-21_final
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final
2020-07-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-07-28_final
2020-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2020-07-31_final
2020-08-04 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-08-04_final
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-08-27_final
2020-09-06 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-09-06_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2020-09-16_final
2020-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-16_final
2020-09-23 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-06 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-06_final
2020-11-12 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2020-11-12_final
2020-11-15 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2020-11-15_final
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-11-15_final
2020-11-15 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-15_final
2021-09-04 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-09-04_final
2021-09-14 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-09-14_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_49JFM_2021-10-11_final
2021-10-24 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-10-24_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-11-30 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2021-11-30_final
2022-01-09 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2022-01-09_final
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final
2022-02-11 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2022-02-11_final
2022-02-18 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-18_final
2022-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-03-10_final
2022-04-26 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-04-26_final
2022-06-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-06-05_final
2022-06-11 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2022-06-11_final
2022-06-25 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-25_final
2022-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-07-12_final
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final
2022-07-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-25_final
2022-08-11 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2022-08-11_final
2022-11-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-11-08_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2023-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-18_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final.stac-item
2023-03-08 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-03-08_final.stac-item
2023-03-12 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-03-12_final.stac-item
2023-03-22 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2023-03-22_final.stac-item
2023-04-28 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-28_final.stac-item
2023-05-24 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-05-24_final.stac-item
2023-05-27 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-27_final.stac-item
2023-06-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-07_final.stac-item
2023-06-27 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-27_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-09-08 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-09-08_final.stac-item
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-09-25 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-09-25_final.stac-item
2023-10-01 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-01_final.stac-item
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final.stac-item
2023-11-17 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-11-17_final.stac-item
2023-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2023-11-27_final.stac-item
2023-12-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-12-03_final.stac-item
2023-12-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-12-13_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_final.stac-item
2024-03-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-03-22_final.stac-item
2024-04-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-04-15_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