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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPG_2017-07-25_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMK_2017-08-27_final
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-05_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-04_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHQ_2017-11-11_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-11-21_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPG_2017-12-02_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-12-11_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-21_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-04-13_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHP_2018-06-02_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPG_2018-07-30_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMH_2018-08-25_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLG_2018-10-24_final.stac-item
2018-12-06 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2018-12-06_final
2018-12-10 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2018-12-10_final.stac-item
2018-12-16 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2018-12-16_final.stac-item
2019-01-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-18_final
2019-01-25 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-01-25_final
2019-01-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-25_final
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-05-19 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-19_final
2019-06-01 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-06-01_final
2019-06-05 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-05_final
2019-06-28 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-28_final
2019-06-28 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-06-28_final.stac-item
2019-07-11 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-07-11_final
2019-07-18 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-18_final.stac-item
2019-11-11 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-11-11_final
2019-11-14 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-11-14_final
2019-12-11 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-11_final.stac-item
2019-12-31 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-31_final
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final
2020-01-10 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-01-10_final
2020-02-12 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-02-12_final
2020-02-12 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-02-12_final
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-10_final
2020-03-23 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2020-03-23_final
2020-05-02 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-05-02_final
2020-05-16 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2020-05-16_final.stac-item
2020-06-05 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-06-05_final
2020-06-12 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-06-12_final.stac-item
2020-06-25 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-06-25_final.stac-item
2020-07-01 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-07-01_final
2020-07-01 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-01_final
2020-07-02 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-07-02_final
2020-07-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2020-07-15_final
2020-08-17 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-17_final
2020-08-17 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-17_final
2020-08-24 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2020-08-24_final
2020-09-09 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2020-09-09_final.stac-item
2020-10-06 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-06_final
2020-10-16 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-10-16_final
2020-11-25 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2020-11-25_final
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final
2020-11-29 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2020-11-29_final
2020-12-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-12-08_final
2020-12-19 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-12-19_final.stac-item
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2021-01-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-17_final
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final
2021-02-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-02-16_final
2021-02-26 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-26_final
2021-03-05 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final
2021-05-28 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-05-28_final
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final
2021-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-08-05_final.stac-item
2021-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-08-06_final.stac-item
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-01_final
2021-09-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-09-22_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final
2022-01-20 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2022-01-20_final.stac-item
2022-02-25 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-02-25_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-05-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-05-20_final
2022-05-20 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-20_final.stac-item
2022-05-20 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-05-20_final.stac-item
2022-07-12 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2022-07-12_final.stac-item
2022-08-17 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2022-08-17_final
2022-08-20 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-08-20_final
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-11-15 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2022-11-15_final.stac-item
2022-11-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-11-25_final.stac-item
2022-12-22 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2022-12-22_final.stac-item
2023-01-27 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-27_final.stac-item
2023-02-03 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-02-03_final.stac-item
2023-02-13 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2023-02-13_final.stac-item
2023-02-17 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-02-17_final.stac-item
2023-04-25 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-04-25_final.stac-item
2023-09-05 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-09-05_final.stac-item
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final.stac-item
2024-03-20 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2024-03-20_final.stac-item
2024-05-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2024-05-05_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