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
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HMG_2018-09-04_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-09-11_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMG_2018-09-14_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HMG_2018-09-21_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMG_2018-09-24_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMG_2018-10-01_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HMG_2018-10-04_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMG_2018-10-11_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMG_2018-10-14_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMG_2018-10-21_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HMG_2018-10-24_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMG_2018-11-03_final.stac-item
2018-11-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2018-11-10_final.stac-item
2018-11-20 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-11-20_final.stac-item
2018-11-23 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2018-11-23_final.stac-item
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2018-12-10 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2018-12-10_final.stac-item
2018-12-13 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2018-12-13_final.stac-item
2018-12-20 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2018-12-20_final.stac-item
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2018-12-30 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-12-30_final.stac-item
2019-01-02 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-02_final.stac-item
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-01-12 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2019-01-12_final.stac-item
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-01-22 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-01-22_final.stac-item
2019-01-29 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-29_final.stac-item
2019-02-01 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-02-01_final.stac-item
2019-02-08 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-08_final.stac-item
2019-02-11 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-02-11_final.stac-item
2019-02-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-18_final.stac-item
2019-02-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-02-21_final.stac-item
2019-02-28 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-02-28_final.stac-item
2019-03-03 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-03-03_final.stac-item
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item
2019-03-13 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2019-03-13_final.stac-item
2019-03-20 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-03-20_final.stac-item
2019-03-23 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-03-23_final.stac-item
2019-03-30 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-03-30_final.stac-item
2019-04-02 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2019-04-02_final.stac-item
2019-04-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2019-04-09_final.stac-item
2019-04-12 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-04-12_final.stac-item
2019-04-19 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-04-19_final.stac-item
2019-04-22 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-04-22_final.stac-item
2019-04-29 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-04-29_final.stac-item
2019-05-02 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-05-02_final.stac-item
2019-05-09 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-09_final.stac-item
2019-05-12 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-12_final.stac-item
2019-05-19 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-19_final.stac-item
2019-05-22 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-22_final.stac-item
2019-05-29 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-29_final.stac-item
2019-06-01 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-06-01_final.stac-item
2019-06-08 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-08_final.stac-item
2019-06-11 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-11_final.stac-item
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-06-21 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-21_final.stac-item
2019-06-28 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-06-28_final.stac-item
2019-07-01 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-01_final.stac-item
2019-07-08 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-08_final.stac-item
2019-07-11 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-11_final.stac-item
2019-07-18 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-18_final.stac-item
2019-07-21 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-21_final.stac-item
2019-07-28 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-07-28_final.stac-item
2019-07-31 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-07-31_final.stac-item
2019-08-07 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-08-07_final.stac-item
2019-08-10 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-08-10_final.stac-item
2019-08-17 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-08-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-08-20_final.stac-item
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-08-30 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2019-08-30_final.stac-item
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-09-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-09-16_final.stac-item
2019-09-19 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2019-09-19_final.stac-item
2019-09-26 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-09-26_final.stac-item
2019-09-29 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-09-29_final.stac-item
2019-10-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-06_final.stac-item
2019-10-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-09_final.stac-item
2019-10-16 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-16_final.stac-item
2019-10-19 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-19_final.stac-item
2019-10-26 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-26_final.stac-item
2019-10-29 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-29_final.stac-item
2019-11-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-11-05_final.stac-item
2019-11-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2019-11-08_final.stac-item
2019-11-15 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-11-15_final.stac-item
2019-11-18 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-11-18_final.stac-item
2019-11-25 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2019-11-25_final.stac-item
2019-11-28 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2019-11-28_final.stac-item
2019-12-05 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2019-12-05_final.stac-item
2019-12-08 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2019-12-08_final.stac-item
2019-12-15 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-15_final.stac-item
2019-12-18 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2019-12-18_final.stac-item
2019-12-25 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-25_final.stac-item
2019-12-28 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2019-12-28_final.stac-item
2021-11-07 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-11-07_final
2021-12-07 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-07_final
2021-12-27 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-27_final
2022-01-16 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-01-16_final
2022-02-25 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-02-25_final
2022-03-17 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2022-03-17_final

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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