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
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2018-05-23_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGK_2018-05-23_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGK_2018-06-22_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGK_2018-09-20_final
2019-05-18 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-18_final
2019-05-28 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-28_final
2019-07-07 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-07-07_final
2019-07-17 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-07-17_final
2019-09-25 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-09-25_final
2020-03-23 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2020-03-23_final
2020-05-12 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2020-05-12_final
2020-05-22 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2020-05-22_final
2020-06-21 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2020-06-21_final
2020-08-20 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2020-08-20_final
2020-09-09 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2020-09-09_final
2021-03-08 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-03-08_final
2021-03-28 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2021-03-28_final
2021-04-27 12:15:15	ga_s2bm_ard_3-2-1_49JGK_2021-04-27_final
2021-06-06 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-06-06_final
2021-08-05 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-08-05_final
2021-08-15 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2021-08-15_final
2021-09-14 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2021-09-14_final
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_49JGH_2021-10-31_final.stac-item
2022-02-21 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2022-02-21_final
2022-04-22 12:15:15	ga_s2bm_ard_3-2-1_49JGK_2022-04-22_final
2022-06-01 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-06-01_final
2022-06-21 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2022-06-21_final
2022-08-20 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2022-08-20_final
2022-08-30 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2022-08-30_final
2022-12-22 11:56:44	ga_s2bm_ard_3-2-1_49HGE_2022-12-22_nrt.stac-item
2023-01-21 11:56:31	ga_s2bm_ard_3-2-1_49JGF_2023-01-21_nrt.stac-item
2023-02-13 12:06:11	ga_s2bm_ard_3-2-1_49JGG_2023-02-13_nrt.stac-item
2023-02-13 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2023-02-13_nrt.stac-item
2023-02-20 11:56:32	ga_s2bm_ard_3-2-1_49JGF_2023-02-20_nrt.stac-item
2023-03-08 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-03-08_final.stac-item
2023-03-18 12:14:34	ga_s2bm_ard_3-2-1_49JHN_2023-03-18_final.stac-item
2023-04-17 12:14:32	ga_s2bm_ard_3-2-1_49JHN_2023-04-17_final.stac-item
2023-05-07 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-05-07_final.stac-item
2023-05-17 12:15:25	ga_s2bm_ard_3-2-1_49JFK_2023-05-17_nrt.stac-item
2023-06-13 12:05:24	ga_s2bm_ard_3-2-1_49JFL_2023-06-13_nrt.stac-item
2023-06-16 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-06-16_final.stac-item
2023-06-23 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-23_final.stac-item
2023-06-26 12:14:35	ga_s2bm_ard_3-2-1_49JHN_2023-06-26_final.stac-item
2023-07-06 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-07-06_final.stac-item
2023-07-16 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-07-16_final.stac-item
2023-07-23 12:06:08	ga_s2bm_ard_3-2-1_49JFH_2023-07-23_nrt.stac-item
2023-07-26 12:14:37	ga_s2bm_ard_3-2-1_49JHN_2023-07-26_final.stac-item
2023-08-05 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-08-05_final.stac-item
2023-08-05 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2023-08-05_final.stac-item
2023-08-15 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-08-15_final.stac-item
2023-08-22 12:05:22	ga_s2bm_ard_3-2-1_49JFL_2023-08-22_nrt.stac-item
2023-08-22 12:05:27	ga_s2bm_ard_3-2-1_49JFL_2023-08-22_nrt.stac-item
2023-08-25 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-08-25_final.stac-item
2023-09-08 11:56:37	ga_s2bm_ard_3-2-1_49JGF_2023-09-08_nrt.stac-item
2023-09-08 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-09-08_nrt.stac-item
2023-09-08 11:57:31	ga_s2bm_ard_3-2-1_49HFB_2023-09-08_nrt.stac-item
2023-09-28 11:56:36	ga_s2bm_ard_3-2-1_49JGF_2023-09-28_nrt.stac-item
2023-09-28 11:57:03	ga_s2bm_ard_3-2-1_49HGD_2023-09-28_nrt.stac-item
2023-09-28 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-09-28_nrt.stac-item
2023-09-28 11:57:25	ga_s2bm_ard_3-2-1_49HFC_2023-09-28_nrt.stac-item
2023-09-28 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-09-28_nrt.stac-item
2023-09-28 11:57:29	ga_s2bm_ard_3-2-1_49HFB_2023-09-28_nrt.stac-item
2023-10-14 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-10-14_final.stac-item
2023-10-24 12:14:32	ga_s2bm_ard_3-2-1_49JHN_2023-10-24_final.stac-item
2023-10-31 12:05:58	ga_s2bm_ard_3-2-1_49JFH_2023-10-31_nrt.stac-item
2023-11-03 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-11-03_final.stac-item
2023-11-23 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2023-11-23_final.stac-item
2023-12-10 12:05:15	ga_s2bm_ard_3-2-1_49JFL_2023-12-10_nrt.stac-item
2024-01-06 11:56:33	ga_s2bm_ard_3-2-1_49JGF_2024-01-06_nrt.stac-item
2024-01-06 11:56:51	ga_s2bm_ard_3-2-1_49HGE_2024-01-06_nrt.stac-item
2024-01-06 11:56:51	ga_s2bm_ard_3-2-1_49HGD_2024-01-06_nrt.stac-item
2024-02-08 12:06:15	ga_s2bm_ard_3-2-1_49JFG_2024-02-08_nrt.stac-item
2024-02-08 12:06:21	ga_s2bm_ard_3-2-1_49JGG_2024-02-08_nrt.stac-item
2024-02-08 12:06:21	ga_s2bm_ard_3-2-1_49JGF_2024-02-08_nrt.stac-item
2024-02-08 12:06:22	ga_s2bm_ard_3-2-1_49JFG_2024-02-08_nrt.stac-item
2024-02-08 12:06:22	ga_s2bm_ard_3-2-1_49JFF_2024-02-08_nrt.stac-item
2024-02-11 12:15:07	ga_s2bm_ard_3-2-1_49JFL_2024-02-11_nrt.stac-item
2024-02-15 11:56:34	ga_s2bm_ard_3-2-1_49JGF_2024-02-15_nrt.stac-item
2024-02-18 12:05:16	ga_s2bm_ard_3-2-1_49JFL_2024-02-18_nrt.stac-item
2024-02-21 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2024-02-21_final.stac-item
2024-03-12 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2024-03-12_final.stac-item
2024-03-12 12:15:17	ga_s2bm_ard_3-2-1_49JFK_2024-03-12_nrt.stac-item
2024-03-16 11:56:32	ga_s2bm_ard_3-2-1_49JGF_2024-03-16_nrt.stac-item
2024-03-22 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-03-22_final.stac-item
2024-03-22 12:15:20	ga_s2bm_ard_3-2-1_49JFK_2024-03-22_nrt.stac-item
2024-03-26 11:56:33	ga_s2bm_ard_3-2-1_49JGF_2024-03-26_nrt.stac-item
2024-03-26 11:56:46	ga_s2bm_ard_3-2-1_49HGE_2024-03-26_nrt.stac-item
2024-03-26 11:57:23	ga_s2bm_ard_3-2-1_49HGC_2024-03-26_nrt.stac-item
2024-03-26 11:57:24	ga_s2bm_ard_3-2-1_49HFC_2024-03-26_nrt.stac-item
2024-03-26 11:57:25	ga_s2bm_ard_3-2-1_49HFB_2024-03-26_nrt.stac-item
2024-03-26 11:57:27	ga_s2bm_ard_3-2-1_49HFB_2024-03-26_nrt.stac-item
2024-04-05 11:56:31	ga_s2bm_ard_3-2-1_49JGF_2024-04-05_nrt.stac-item
2024-04-11 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-11_nrt.stac-item
2024-04-15 11:56:34	ga_s2bm_ard_3-2-1_49JGF_2024-04-15_nrt.stac-item
2024-04-15 11:56:46	ga_s2bm_ard_3-2-1_49HGE_2024-04-15_nrt.stac-item
2024-04-18 12:05:20	ga_s2bm_ard_3-2-1_49JFL_2024-04-18_nrt.stac-item
2024-04-18 12:05:48	ga_s2bm_ard_3-2-1_49JFJ_2024-04-18_nrt.stac-item
2024-04-18 12:06:17	ga_s2bm_ard_3-2-1_49JFG_2024-04-18_nrt.stac-item
2024-04-18 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2024-04-18_nrt.stac-item
2024-04-21 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-21_nrt.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

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