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
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-02-11 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-02-11_final.stac-item
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-02-21 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2019-02-21_final.stac-item
2019-02-28 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-02-28_final.stac-item
2019-03-03 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2019-03-03_final.stac-item
2019-03-10 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2019-03-10_final.stac-item
2019-03-13 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2019-03-13_final.stac-item
2019-03-20 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-03-20_final.stac-item
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-06-01 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-01_final.stac-item
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-06-11 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-11_final.stac-item
2019-06-18 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-06-18_final.stac-item
2019-06-21 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-21_final.stac-item
2019-06-28 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-06-28_final.stac-item
2019-07-01 11:57:32	ga_s2bm_ard_3-2-1_50HLG_2019-07-01_final.stac-item
2019-07-08 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-07-08_final.stac-item
2019-07-11 11:57:32	ga_s2bm_ard_3-2-1_50HLG_2019-07-11_final.stac-item
2019-07-18 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-07-18_final.stac-item
2019-09-06 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2019-09-06_final.stac-item
2019-09-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-09_final.stac-item
2019-09-16 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-09-16_final.stac-item
2019-09-19 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-09-19_final.stac-item
2019-09-26 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-09-26_final.stac-item
2019-09-29 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-29_final.stac-item
2019-10-06 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-10-06_final.stac-item
2019-10-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-09_final.stac-item
2019-10-16 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2019-10-16_final.stac-item
2019-10-19 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-19_final.stac-item
2019-12-08 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2019-12-08_final.stac-item
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2019-12-18 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2019-12-18_final.stac-item
2019-12-25 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-25_final.stac-item
2019-12-28 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2019-12-28_final.stac-item
2020-01-04 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-04_final.stac-item
2020-01-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2020-01-07_final.stac-item
2020-01-14 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-14_final.stac-item
2020-01-17 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2020-01-17_final.stac-item
2020-01-24 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-01-24_final.stac-item
2020-01-27 11:57:16	ga_s2bm_ard_3-2-1_50HLG_2020-01-27_final.stac-item
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
2020-02-06 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2020-02-06_final.stac-item
2020-03-17 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-03-17_final.stac-item
2020-03-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-03-24_final.stac-item
2020-03-27 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-03-27_final.stac-item
2020-04-03 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-04-03_final.stac-item
2020-04-06 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-04-06_final.stac-item
2020-04-13 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-04-13_final.stac-item
2020-04-16 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2020-04-16_final.stac-item
2020-04-23 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-04-23_final.stac-item
2020-04-26 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2020-04-26_final.stac-item
2020-05-03 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-05-03_final.stac-item
2020-05-06 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-05-06_final.stac-item
2020-07-05 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-07-05_final.stac-item
2020-07-12 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-07-12_final.stac-item
2020-07-15 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-07-15_final.stac-item
2020-07-22 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-07-22_final.stac-item
2020-07-25 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-07-25_final.stac-item
2020-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-08-01_final.stac-item
2020-08-04 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-08-04_final.stac-item
2020-08-11 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-08-11_final.stac-item
2020-09-30 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2020-09-30_final.stac-item
2020-10-03 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-10-03_final.stac-item
2020-10-10 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-10-10_final.stac-item
2020-10-13 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-13_final.stac-item
2020-10-20 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-10-20_final.stac-item
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-10-30 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2020-10-30_final.stac-item
2020-11-02 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-11-02_final.stac-item
2023-03-09 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-03-09_final.stac-item
2023-03-12 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-03-12_final.stac-item
2023-03-19 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-19_final.stac-item
2023-03-22 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-03-22_final.stac-item
2023-03-29 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-29_final.stac-item
2023-04-01 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-04-01_final.stac-item
2023-04-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-04-08_final.stac-item
2023-04-11 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-11_final.stac-item
2023-04-18 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-04-18_final.stac-item
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final.stac-item
2023-04-28 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-04-28_final.stac-item
2023-05-01 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-05-01_final.stac-item
2023-05-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-05-08_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-05-18 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-05-18_final.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final.stac-item
2023-05-28 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-05-28_final.stac-item
2023-05-31 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-31_final.stac-item
2023-06-07 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-06-07_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-07-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-07-10_final.stac-item
2023-07-17 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-07-17_final.stac-item
2023-07-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2023-07-20_final.stac-item
2023-10-15 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-10-15_final.stac-item
2023-10-18 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2023-10-18_final.stac-item
2023-10-25 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2023-10-25_final.stac-item
2023-10-28 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2023-10-28_final.stac-item
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final.stac-item
2023-11-14 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2023-11-14_final.stac-item
2023-11-17 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2023-11-17_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

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