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
2019-02-26 11:06:20	ga_s2bm_ard_3-2-1_52HCK_2019-02-26_final.stac-item
2019-03-01 11:16:14	ga_s2bm_ard_3-2-1_52HCK_2019-03-01_final.stac-item
2019-03-08 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2019-03-08_final.stac-item
2019-03-11 11:16:13	ga_s2bm_ard_3-2-1_52HCK_2019-03-11_final.stac-item
2019-03-18 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2019-03-18_final.stac-item
2019-03-21 11:16:15	ga_s2bm_ard_3-2-1_52HCK_2019-03-21_final.stac-item
2019-03-28 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2019-03-28_final.stac-item
2019-06-06 11:06:29	ga_s2bm_ard_3-2-1_52HCK_2019-06-06_final.stac-item
2019-06-06 11:06:37	ga_s2bm_ard_3-2-1_52HCK_2019-06-06_final.stac-item
2019-06-09 11:16:24	ga_s2bm_ard_3-2-1_52HCK_2019-06-09_final.stac-item
2019-06-16 11:06:28	ga_s2bm_ard_3-2-1_52HCK_2019-06-16_final.stac-item
2019-06-19 11:16:24	ga_s2bm_ard_3-2-1_52HCK_2019-06-19_final.stac-item
2019-06-26 11:06:29	ga_s2bm_ard_3-2-1_52HCK_2019-06-26_final.stac-item
2019-07-19 11:16:24	ga_s2bm_ard_3-2-1_52HCK_2019-07-19_final.stac-item
2019-07-26 11:06:29	ga_s2bm_ard_3-2-1_52HCK_2019-07-26_final.stac-item
2019-07-29 11:16:24	ga_s2bm_ard_3-2-1_52HCK_2019-07-29_final.stac-item
2019-08-05 11:06:28	ga_s2bm_ard_3-2-1_52HCK_2019-08-05_final.stac-item
2019-08-08 11:16:23	ga_s2bm_ard_3-2-1_52HCK_2019-08-08_final.stac-item
2019-08-15 11:06:27	ga_s2bm_ard_3-2-1_52HCK_2019-08-15_final.stac-item
2019-08-18 11:16:22	ga_s2bm_ard_3-2-1_52HCK_2019-08-18_final.stac-item
2019-09-17 11:16:15	ga_s2bm_ard_3-2-1_52HCK_2019-09-17_final.stac-item
2019-09-24 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2019-09-24_final.stac-item
2019-09-27 11:16:16	ga_s2bm_ard_3-2-1_52HCK_2019-09-27_final.stac-item
2019-12-23 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2019-12-23_final.stac-item
2019-12-26 11:16:11	ga_s2bm_ard_3-2-1_52HCK_2019-12-26_final.stac-item
2020-01-02 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2020-01-02_final.stac-item
2020-01-05 11:16:11	ga_s2bm_ard_3-2-1_52HCK_2020-01-05_final.stac-item
2020-01-12 11:06:15	ga_s2bm_ard_3-2-1_52HCK_2020-01-12_final.stac-item
2020-01-15 11:16:10	ga_s2bm_ard_3-2-1_52HCK_2020-01-15_final.stac-item
2020-02-11 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2020-02-11_final.stac-item
2020-02-14 11:16:11	ga_s2bm_ard_3-2-1_52HCK_2020-02-14_final.stac-item
2020-02-21 11:06:17	ga_s2bm_ard_3-2-1_52HCK_2020-02-21_final.stac-item
2020-02-24 11:16:13	ga_s2bm_ard_3-2-1_52HCK_2020-02-24_final.stac-item
2020-03-02 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2020-03-02_final.stac-item
2020-03-05 11:16:13	ga_s2bm_ard_3-2-1_52HCK_2020-03-05_final.stac-item
2020-03-12 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2020-03-12_final.stac-item
2020-03-15 11:16:14	ga_s2bm_ard_3-2-1_52HCK_2020-03-15_final.stac-item
2020-03-22 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2020-03-22_final.stac-item
2020-04-14 11:16:12	ga_s2bm_ard_3-2-1_52HCK_2020-04-14_final.stac-item
2020-04-21 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2020-04-21_final.stac-item
2020-05-31 11:06:30	ga_s2bm_ard_3-2-1_52HCK_2020-05-31_final.stac-item
2020-06-03 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-06-03_final.stac-item
2020-06-10 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-06-10_final.stac-item
2020-06-13 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-06-13_final.stac-item
2020-06-20 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-06-20_final.stac-item
2020-06-23 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-06-23_final.stac-item
2020-06-30 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-06-30_final.stac-item
2020-07-03 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-07-03_final.stac-item
2020-07-10 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-07-10_final.stac-item
2020-07-13 11:16:17	ga_s2bm_ard_3-2-1_52HCK_2020-07-13_final.stac-item
2020-07-20 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-07-20_final.stac-item
2020-08-29 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-08-29_final.stac-item
2020-09-01 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2020-09-01_final.stac-item
2020-09-08 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-09-08_final.stac-item
2020-09-11 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-09-11_final.stac-item
2020-09-18 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2020-09-18_final.stac-item
2020-09-21 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2020-09-21_final.stac-item
2020-09-28 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-09-28_final.stac-item
2020-10-01 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2020-10-01_final.stac-item
2020-10-08 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-10-08_final.stac-item
2020-10-11 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2020-10-11_final.stac-item
2020-10-18 11:06:25	ga_s2bm_ard_3-2-1_52HCK_2020-10-18_final.stac-item
2020-10-21 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2020-10-21_final.stac-item
2020-11-30 11:16:15	ga_s2bm_ard_3-2-1_52HCK_2020-11-30_final.stac-item
2020-12-07 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2020-12-07_final.stac-item
2020-12-10 11:16:13	ga_s2bm_ard_3-2-1_52HCK_2020-12-10_final.stac-item
2020-12-17 11:06:17	ga_s2bm_ard_3-2-1_52HCK_2020-12-17_final.stac-item
2020-12-20 11:16:12	ga_s2bm_ard_3-2-1_52HCK_2020-12-20_final.stac-item
2020-12-27 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2020-12-27_final.stac-item
2020-12-30 11:16:14	ga_s2bm_ard_3-2-1_52HCK_2020-12-30_final.stac-item
2021-04-06 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2021-04-06_final.stac-item
2022-07-10 11:06:26	ga_s2bm_ard_3-2-1_52HCK_2022-07-10_final.stac-item
2023-03-07 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2023-03-07_final.stac-item
2023-03-10 11:16:20	ga_s2bm_ard_3-2-1_52HCK_2023-03-10_final.stac-item
2023-03-17 11:06:25	ga_s2bm_ard_3-2-1_52HCK_2023-03-17_final.stac-item
2023-03-20 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2023-03-20_final.stac-item
2023-03-27 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2023-03-27_final.stac-item
2023-03-30 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2023-03-30_final.stac-item
2023-04-06 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2023-04-06_final.stac-item
2023-04-09 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2023-04-09_final.stac-item
2023-04-16 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2023-04-16_final.stac-item
2023-04-19 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2023-04-19_final.stac-item
2023-04-26 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2023-04-26_final.stac-item
2023-04-29 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2023-04-29_final.stac-item
2023-05-06 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2023-05-06_final.stac-item
2023-05-09 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2023-05-09_final.stac-item
2023-05-16 11:06:25	ga_s2bm_ard_3-2-1_52HCK_2023-05-16_final.stac-item
2023-05-19 11:16:21	ga_s2bm_ard_3-2-1_52HCK_2023-05-19_final.stac-item
2023-05-26 11:06:26	ga_s2bm_ard_3-2-1_52HCK_2023-05-26_final.stac-item
2023-05-29 11:16:20	ga_s2bm_ard_3-2-1_52HCK_2023-05-29_final.stac-item
2023-06-05 11:06:25	ga_s2bm_ard_3-2-1_52HCK_2023-06-05_final.stac-item
2023-06-08 11:16:21	ga_s2bm_ard_3-2-1_52HCK_2023-06-08_final.stac-item
2023-10-13 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2023-10-13_final.stac-item
2023-10-16 11:16:18	ga_s2bm_ard_3-2-1_52HCK_2023-10-16_final.stac-item
2023-10-23 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2023-10-23_final.stac-item
2023-10-26 11:16:17	ga_s2bm_ard_3-2-1_52HCK_2023-10-26_final.stac-item
2023-11-02 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2023-11-02_final.stac-item
2023-11-05 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2023-11-05_final.stac-item
2023-11-15 11:16:16	ga_s2bm_ard_3-2-1_52HCK_2023-11-15_final.stac-item
2023-11-22 11:06:17	ga_s2bm_ard_3-2-1_52HCK_2023-11-22_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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