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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQJ_2017-10-13_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMK_2017-11-08_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMK_2017-11-25_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKS_2017-12-01_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HQK_2017-12-15_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHM_2017-12-31_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-01-20_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMK_2018-03-28_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMH_2018-05-17_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HPH_2018-06-03_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50JKS_2018-08-28_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKQ_2018-10-27_final
2018-11-06 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2018-11-06_final
2018-11-06 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2018-11-06_final
2018-11-16 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2018-11-16_final
2018-12-06 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2018-12-06_final
2018-12-13 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-12-13_final
2019-02-01 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-02-01_final
2019-02-04 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2019-02-04_final
2019-03-09 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-03-09_final
2019-03-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2019-03-16_final
2019-04-05 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2019-04-05_final
2019-04-05 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2019-04-05_final
2019-04-05 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-04-05_final
2019-05-09 11:47:01	ga_s2bm_ard_3-2-1_50HQH_2019-05-09_final
2019-05-09 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-09_final
2019-05-25 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-05-25_final
2019-06-18 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-18_final
2019-06-21 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-06-21_final
2019-06-27 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-27_final
2019-07-31 11:56:44	ga_s2bm_ard_3-2-1_50HMK_2019-07-31_final
2019-08-26 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2019-08-26_final
2019-09-05 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-09-05_final
2019-10-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-10-15_final
2019-11-11 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-11-11_final.stac-item
2019-11-18 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2019-11-18_final.stac-item
2020-01-14 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-14_final.stac-item
2020-01-20 12:03:38	ga_s2bm_ard_3-2-1_49KHS_2020-01-20_final.stac-item
2020-03-03 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-03_final
2020-03-23 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2020-03-23_final
2020-04-09 12:05:19	ga_s2bm_ard_3-2-1_49JGK_2020-04-09_final
2020-05-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2020-05-03_final
2020-05-23 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2020-05-23_final
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-08_final
2020-06-09 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-06-09_final.stac-item
2020-07-18 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final
2020-07-28 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-07-28_final
2020-07-31 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-08-11 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-11_final.stac-item
2020-08-20 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-20_final
2020-08-28 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-08-28_final
2020-10-17 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2020-10-17_final
2020-11-05 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2020-11-05_final
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-11-05_final
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2020-11-15_final.stac-item
2020-11-26 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2020-11-26_final
2020-12-25 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2020-12-25_final
2021-01-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-01-21_final
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-02-16 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-16_final
2021-03-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-03-19_final.stac-item
2021-03-25 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-03-25_final
2021-03-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-03-29_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2021-04-04_final.stac-item
2021-05-01 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-05-01_final
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final
2021-07-17 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2021-07-17_final
2021-08-22 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-08-22_final
2021-08-25 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2021-08-25_final.stac-item
2021-09-11 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-09-11_final
2021-10-04 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-04_final.stac-item
2021-10-21 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-10-21_final
2021-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-11-24_final
2021-12-17 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2021-12-17_final.stac-item
2022-01-19 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2022-01-19_final
2022-03-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-03-20_final
2022-04-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2022-04-19_final
2022-05-06 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2022-05-06_final.stac-item
2022-06-28 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2022-06-28_final
2022-07-12 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-07-12_final
2022-08-18 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2022-08-18_final.stac-item
2022-10-19 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2022-10-19_final.stac-item
2022-12-18 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-18_final.stac-item
2023-04-04 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-04-04_final.stac-item
2023-04-04 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2023-04-04_final.stac-item
2023-05-27 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-27_final.stac-item
2023-07-23 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2023-07-23_final.stac-item
2023-08-22 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-09-11 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-09-11_final.stac-item
2023-09-14 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-09-14_final.stac-item
2023-11-13 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2023-11-13_final.stac-item
2023-11-20 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2023-11-20_final.stac-item
2023-11-23 12:14:11	ga_s2bm_ard_3-2-1_49KFQ_2023-11-23_nrt.stac-item
2023-12-23 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-23_final.stac-item
2024-02-01 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-01_final.stac-item
2024-02-02 11:46:59	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final.stac-item
2024-02-11 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-02-11_final.stac-item
2024-03-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2024-03-29_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