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
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_53KPR_2018-09-10_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53KPR_2018-09-20_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53KPR_2018-10-20_final
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53KPR_2018-10-23_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KPR_2018-10-30_final
2018-11-02 10:37:25	ga_s2bm_ard_3-2-1_53KPR_2018-11-02_final
2018-11-02 10:43:08	ga_s2bm_ard_3-2-1_53KPR_2018-11-02_final
2018-11-09 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2018-11-09_final
2018-11-12 10:43:17	ga_s2bm_ard_3-2-1_53KPR_2018-11-12_final
2018-11-19 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2018-11-19_final
2018-11-22 10:43:16	ga_s2bm_ard_3-2-1_53KPR_2018-11-22_final
2018-11-29 10:33:20	ga_s2bm_ard_3-2-1_53KPR_2018-11-29_final
2018-12-02 10:43:14	ga_s2bm_ard_3-2-1_53KPR_2018-12-02_final
2018-12-09 10:33:18	ga_s2bm_ard_3-2-1_53KPR_2018-12-09_final
2018-12-12 10:43:13	ga_s2bm_ard_3-2-1_53KPR_2018-12-12_final
2018-12-19 10:33:19	ga_s2bm_ard_3-2-1_53KPR_2018-12-19_final
2018-12-29 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2018-12-29_final
2019-01-01 10:43:17	ga_s2bm_ard_3-2-1_53KPR_2019-01-01_final
2019-01-08 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2019-01-08_final
2019-01-11 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2019-01-11_final
2019-01-18 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2019-01-18_final
2019-01-21 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2019-01-21_final
2019-01-28 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2019-01-28_final
2019-01-31 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2019-01-31_final
2019-02-07 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2019-02-07_final
2019-02-07 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2019-02-07_final
2019-02-10 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2019-02-10_final
2019-02-17 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2019-02-17_final
2019-02-20 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2019-02-20_final
2019-02-27 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2019-02-27_final
2019-03-02 10:43:17	ga_s2bm_ard_3-2-1_53KPR_2019-03-02_final
2019-03-09 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2019-03-09_final
2019-03-12 10:43:16	ga_s2bm_ard_3-2-1_53KPR_2019-03-12_final
2019-03-19 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2019-03-19_final
2019-03-22 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2019-03-22_final
2019-03-29 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2019-03-29_final
2019-04-01 10:43:21	ga_s2bm_ard_3-2-1_53KPR_2019-04-01_final
2019-04-08 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2019-04-08_final
2019-04-11 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2019-04-11_final
2019-04-18 10:33:30	ga_s2bm_ard_3-2-1_53KPR_2019-04-18_final
2019-04-21 10:43:25	ga_s2bm_ard_3-2-1_53KPR_2019-04-21_final
2019-04-28 10:33:31	ga_s2bm_ard_3-2-1_53KPR_2019-04-28_final
2023-04-20 10:43:21	ga_s2bm_ard_3-2-1_53KPR_2023-04-20_final.stac-item
2023-04-30 10:43:21	ga_s2bm_ard_3-2-1_53KPR_2023-04-30_final.stac-item
2023-05-07 10:33:26	ga_s2bm_ard_3-2-1_53KPR_2023-05-07_final.stac-item
2023-05-10 10:43:22	ga_s2bm_ard_3-2-1_53KPR_2023-05-10_final.stac-item
2023-05-17 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-05-17_final.stac-item
2023-05-20 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-05-20_final.stac-item
2023-05-27 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-05-27_final.stac-item
2023-05-30 10:43:23	ga_s2bm_ard_3-2-1_53KPR_2023-05-30_final.stac-item
2023-06-06 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-06-06_final.stac-item
2023-06-09 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-06-09_final.stac-item
2023-06-16 10:33:29	ga_s2bm_ard_3-2-1_53KPR_2023-06-16_final.stac-item
2023-06-19 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-06-19_final.stac-item
2023-06-26 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-06-26_final.stac-item
2023-06-29 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-06-29_final.stac-item
2023-07-06 10:33:29	ga_s2bm_ard_3-2-1_53KPR_2023-07-06_final.stac-item
2023-07-09 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-07-09_final.stac-item
2023-07-16 10:33:29	ga_s2bm_ard_3-2-1_53KPR_2023-07-16_final.stac-item
2023-07-19 10:43:25	ga_s2bm_ard_3-2-1_53KPR_2023-07-19_final.stac-item
2023-07-26 10:33:30	ga_s2bm_ard_3-2-1_53KPR_2023-07-26_final.stac-item
2023-07-29 10:43:25	ga_s2bm_ard_3-2-1_53KPR_2023-07-29_final.stac-item
2023-08-05 10:33:29	ga_s2bm_ard_3-2-1_53KPR_2023-08-05_final.stac-item
2023-08-08 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-08-08_final.stac-item
2023-08-12 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2023-08-12_final.stac-item
2023-08-15 10:33:29	ga_s2bm_ard_3-2-1_53KPR_2023-08-15_final.stac-item
2023-08-18 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-08-18_final.stac-item
2023-08-25 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-08-25_final.stac-item
2023-08-28 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-08-28_final.stac-item
2023-09-04 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2023-09-04_final.stac-item
2023-09-07 10:43:24	ga_s2bm_ard_3-2-1_53KPR_2023-09-07_final.stac-item
2023-09-14 10:33:27	ga_s2bm_ard_3-2-1_53KPR_2023-09-14_final.stac-item
2023-09-17 10:43:22	ga_s2bm_ard_3-2-1_53KPR_2023-09-17_final.stac-item
2023-09-24 10:33:27	ga_s2bm_ard_3-2-1_53KPR_2023-09-24_final.stac-item
2023-09-27 10:43:22	ga_s2bm_ard_3-2-1_53KPR_2023-09-27_final.stac-item
2023-10-04 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2023-10-04_final.stac-item
2023-10-07 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2023-10-07_final.stac-item
2023-10-14 10:33:26	ga_s2bm_ard_3-2-1_53KPR_2023-10-14_final.stac-item
2023-10-17 10:43:21	ga_s2bm_ard_3-2-1_53KPR_2023-10-17_final.stac-item
2023-10-24 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2023-10-24_final.stac-item
2023-10-27 10:43:20	ga_s2bm_ard_3-2-1_53KPR_2023-10-27_final.stac-item
2023-11-03 10:33:26	ga_s2bm_ard_3-2-1_53KPR_2023-11-03_final.stac-item
2023-11-13 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2023-11-13_final.stac-item
2023-11-16 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2023-11-16_final.stac-item
2023-11-23 10:33:19	ga_s2bm_ard_3-2-1_53KPR_2023-11-23_final.stac-item
2023-11-26 10:43:15	ga_s2bm_ard_3-2-1_53KPR_2023-11-26_final.stac-item
2023-12-03 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2023-12-03_final.stac-item
2023-12-03 10:33:27	ga_s2bm_ard_3-2-1_53KPR_2023-12-03_final.stac-item
2023-12-06 10:43:16	ga_s2bm_ard_3-2-1_53KPR_2023-12-06_final.stac-item
2023-12-10 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2023-12-10_final.stac-item
2023-12-13 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2023-12-13_final.stac-item
2023-12-16 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2023-12-16_final.stac-item
2023-12-23 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2023-12-23_final.stac-item
2023-12-26 10:43:20	ga_s2bm_ard_3-2-1_53KPR_2023-12-26_final.stac-item
2024-01-02 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2024-01-02_final.stac-item
2024-01-05 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2024-01-05_final.stac-item
2024-01-12 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2024-01-12_final.stac-item
2024-01-12 10:33:28	ga_s2bm_ard_3-2-1_53KPR_2024-01-12_final.stac-item
2024-01-15 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2024-01-15_final.stac-item
2024-01-22 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2024-01-22_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

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