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
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFN_2018-10-20_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JFN_2018-10-30_final
2018-11-19 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2018-11-19_final
2018-11-29 12:14:41	ga_s2bm_ard_3-2-1_49JFN_2018-11-29_final
2018-12-09 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2018-12-09_final
2018-12-19 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2018-12-19_final
2018-12-29 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2018-12-29_final
2019-01-08 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2019-01-08_final
2019-01-18 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-01-18_final
2019-01-28 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-01-28_final
2019-02-07 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-02-07_final
2019-02-17 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-02-17_final
2019-02-27 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2019-02-27_final
2019-03-09 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2019-03-09_final
2019-03-19 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2019-03-19_final
2019-03-29 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2019-03-29_final
2019-04-08 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2019-04-08_final
2019-04-18 12:14:51	ga_s2bm_ard_3-2-1_49JFN_2019-04-18_final
2019-04-28 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-04-28_final
2019-05-08 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-08_final
2019-05-18 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-18_final
2019-05-28 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-28_final
2019-06-07 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-06-07_final
2019-06-17 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-06-17_final
2019-06-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-06-27_final
2019-07-07 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-07_final
2019-07-17 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-17_final
2019-07-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-27_final
2019-08-06 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-08-06_final
2019-08-16 12:14:52	ga_s2bm_ard_3-2-1_49JFN_2019-08-16_final
2019-08-26 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2019-08-26_final
2019-09-05 12:14:48	ga_s2bm_ard_3-2-1_49JFN_2019-09-05_final
2019-09-15 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-09-15_final
2019-09-25 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-09-25_final
2019-10-05 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-10-05_final
2019-10-15 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2019-10-15_final
2019-10-15 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2019-10-15_final
2019-10-25 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-10-25_final
2019-11-04 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-11-04_final
2019-11-14 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2019-11-14_final
2019-11-24 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2019-11-24_final
2019-12-04 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2019-12-04_final
2019-12-14 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2019-12-14_final
2019-12-24 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2019-12-24_final
2020-01-03 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2020-01-03_final
2020-01-13 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2020-01-13_final
2020-01-23 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2020-01-23_final
2020-02-02 12:14:38	ga_s2bm_ard_3-2-1_49JFN_2020-02-02_final
2022-12-15 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2022-12-15_nrt.stac-item
2022-12-25 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2022-12-25_nrt.stac-item
2023-01-04 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2023-01-04_nrt.stac-item
2023-01-14 12:06:21	ga_s2bm_ard_3-2-1_49JFF_2023-01-14_nrt.stac-item
2023-01-24 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2023-01-24_nrt.stac-item
2023-02-03 12:06:22	ga_s2bm_ard_3-2-1_49JFF_2023-02-03_nrt.stac-item
2023-02-13 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2023-02-13_nrt.stac-item
2023-02-23 12:06:26	ga_s2bm_ard_3-2-1_49JFF_2023-02-23_nrt.stac-item
2023-03-05 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-03-05_nrt.stac-item
2023-03-15 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-03-15_nrt.stac-item
2023-03-25 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-03-25_nrt.stac-item
2023-04-04 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-04-04_nrt.stac-item
2023-04-14 12:06:26	ga_s2bm_ard_3-2-1_49JFF_2023-04-14_nrt.stac-item
2023-04-24 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-04-24_nrt.stac-item
2023-05-04 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-05-04_nrt.stac-item
2023-05-14 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-05-14_nrt.stac-item
2023-05-24 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-05-24_nrt.stac-item
2023-06-03 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-06-03_nrt.stac-item
2023-06-13 12:06:31	ga_s2bm_ard_3-2-1_49JFF_2023-06-13_nrt.stac-item
2023-06-23 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-06-23_nrt.stac-item
2023-07-03 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-07-03_nrt.stac-item
2023-07-13 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-07-13_nrt.stac-item
2023-07-23 12:06:32	ga_s2bm_ard_3-2-1_49JFF_2023-07-23_nrt.stac-item
2023-08-02 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-08-02_nrt.stac-item
2023-08-12 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-08-12_nrt.stac-item
2023-08-22 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-08-22_nrt.stac-item
2023-09-01 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-09-01_nrt.stac-item
2023-09-11 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-09-11_nrt.stac-item
2023-09-21 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-09-21_nrt.stac-item
2023-10-01 12:06:26	ga_s2bm_ard_3-2-1_49JFF_2023-10-01_nrt.stac-item
2023-10-11 12:06:26	ga_s2bm_ard_3-2-1_49JFF_2023-10-11_nrt.stac-item
2023-10-31 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2023-10-31_nrt.stac-item
2023-11-10 12:06:26	ga_s2bm_ard_3-2-1_49JFF_2023-11-10_nrt.stac-item
2023-11-20 12:06:23	ga_s2bm_ard_3-2-1_49JFF_2023-11-20_nrt.stac-item
2023-11-30 12:06:21	ga_s2bm_ard_3-2-1_49JFF_2023-11-30_nrt.stac-item
2023-12-10 12:06:22	ga_s2bm_ard_3-2-1_49JFF_2023-12-10_nrt.stac-item
2023-12-20 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2023-12-20_nrt.stac-item
2023-12-30 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2023-12-30_nrt.stac-item
2024-01-09 12:06:23	ga_s2bm_ard_3-2-1_49JFF_2024-01-09_nrt.stac-item
2024-01-19 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2024-01-19_nrt.stac-item
2024-01-29 12:06:22	ga_s2bm_ard_3-2-1_49JFF_2024-01-29_nrt.stac-item
2024-02-08 12:06:22	ga_s2bm_ard_3-2-1_49JFF_2024-02-08_nrt.stac-item
2024-02-08 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2024-02-08_nrt.stac-item
2024-02-18 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2024-02-18_nrt.stac-item
2024-02-28 12:06:23	ga_s2bm_ard_3-2-1_49JFF_2024-02-28_nrt.stac-item
2024-03-09 12:06:19	ga_s2bm_ard_3-2-1_49JFF_2024-03-09_nrt.stac-item
2024-03-19 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2024-03-19_nrt.stac-item
2024-03-29 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2024-03-29_nrt.stac-item
2024-04-08 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2024-04-08_interim.stac-item
2024-04-18 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2024-04-18_nrt.stac-item
2024-04-28 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2024-04-28_nrt.stac-item
2024-05-08 12:06:25	ga_s2bm_ard_3-2-1_49JFF_2024-05-08_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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