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
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HXC_2017-11-09_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HXC_2017-11-19_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HXC_2017-12-09_final.stac-item
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HXC_2017-12-19_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HXC_2018-02-17_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HXC_2018-02-27_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HXC_2018-05-18_final.stac-item
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HXC_2018-05-28_final.stac-item
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51HXC_2018-06-07_final.stac-item
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51HXC_2018-06-17_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51HXC_2018-06-27_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HXC_2018-08-26_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51HXC_2018-09-05_final.stac-item
2019-03-14 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2019-03-14_final.stac-item
2019-08-31 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2019-08-31_final.stac-item
2019-09-10 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2019-09-10_final.stac-item
2019-09-20 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2019-09-20_final.stac-item
2019-09-30 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2019-09-30_final.stac-item
2019-10-20 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2019-10-20_final.stac-item
2019-10-30 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2019-10-30_final.stac-item
2019-11-09 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2019-11-09_final.stac-item
2019-11-29 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2019-11-29_final.stac-item
2019-12-09 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2019-12-09_final.stac-item
2019-12-19 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2019-12-19_final.stac-item
2019-12-26 11:17:02	ga_s2bm_ard_3-2-1_51HXB_2019-12-26_final.stac-item
2019-12-29 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2019-12-29_final.stac-item
2020-01-05 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2020-01-05_final.stac-item
2020-01-08 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2020-01-08_final.stac-item
2020-01-18 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2020-01-18_final.stac-item
2020-01-28 11:26:40	ga_s2bm_ard_3-2-1_51HXC_2020-01-28_final.stac-item
2020-02-07 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2020-02-07_final.stac-item
2020-02-27 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2020-02-27_final.stac-item
2020-04-07 11:26:44	ga_s2bm_ard_3-2-1_51HXC_2020-04-07_final.stac-item
2020-04-17 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2020-04-17_final.stac-item
2020-06-26 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-06-26_final.stac-item
2020-07-16 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2020-07-16_final.stac-item
2020-07-26 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-07-26_final.stac-item
2020-08-15 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2020-08-15_final.stac-item
2020-08-25 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2020-08-25_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-11-03_final.stac-item
2020-11-13 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2020-11-13_final.stac-item
2020-12-03 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2020-12-03_final.stac-item
2020-12-13 11:26:44	ga_s2bm_ard_3-2-1_51HXC_2020-12-13_final.stac-item
2021-04-22 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2021-04-22_final.stac-item
2021-05-02 11:26:44	ga_s2bm_ard_3-2-1_51HXC_2021-05-02_final.stac-item
2021-08-20 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2021-08-20_final.stac-item
2021-11-28 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2021-11-28_final.stac-item
2021-12-08 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2021-12-08_final.stac-item
2021-12-18 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2021-12-18_final
2021-12-28 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2021-12-28_final
2022-01-07 11:25:14	ga_s2bm_ard_3-2-1_51JXJ_2022-01-07_final
2022-01-14 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2022-01-14_final.stac-item
2022-01-27 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2022-01-27_final.stac-item
2022-02-06 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2022-02-06_final
2022-02-16 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2022-02-16_final
2022-02-26 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-02-26_final
2022-03-08 11:25:16	ga_s2bm_ard_3-2-1_51JXJ_2022-03-08_final
2022-03-08 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-03-08_final
2022-03-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-03-18_final
2022-04-27 11:25:17	ga_s2bm_ard_3-2-1_51JXJ_2022-04-27_final
2022-04-27 11:26:41	ga_s2bm_ard_3-2-1_51HXC_2022-04-27_final.stac-item
2022-05-07 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-05-07_final
2022-05-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-05-17_final
2022-05-27 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-05-27_final
2022-06-06 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2022-06-06_final
2022-06-16 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2022-06-16_final
2022-06-26 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-06-26_final
2022-07-06 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-06_final
2022-07-16 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-16_final
2022-07-26 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-26_final
2022-08-05 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-08-05_final
2022-08-15 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2022-08-15_final
2022-08-25 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-08-25_final
2022-08-25 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2022-08-25_final.stac-item
2022-09-04 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2022-09-04_final.stac-item
2022-09-04 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2022-09-04_final.stac-item
2022-09-14 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2022-09-14_final.stac-item
2022-09-24 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2022-09-24_final.stac-item
2022-10-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-10-04_final.stac-item
2022-10-14 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-10-14_final.stac-item
2022-10-24 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-10-24_final.stac-item
2022-11-03 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-11-03_final.stac-item
2022-11-13 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-11-13_final.stac-item
2022-11-23 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-11-23_final.stac-item
2022-12-03 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-12-03_final.stac-item
2022-12-23 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-12-23_final.stac-item
2023-01-02 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2023-01-02_final.stac-item
2023-01-12 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2023-01-12_final.stac-item
2023-01-12 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2023-01-12_final.stac-item
2023-01-22 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-01-22_final.stac-item
2023-01-22 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2023-01-22_final.stac-item
2023-02-01 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-02-01_final.stac-item
2023-02-01 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2023-02-01_final.stac-item
2023-02-11 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2023-02-11_final.stac-item
2023-02-21 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2023-02-21_final.stac-item
2023-03-03 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2023-03-03_final.stac-item
2023-05-12 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2023-05-12_final.stac-item
2023-06-08 11:17:07	ga_s2bm_ard_3-2-1_51HXC_2023-06-08_final.stac-item
2023-10-06 11:17:02	ga_s2bm_ard_3-2-1_51HXC_2023-10-06_final.stac-item
2023-12-08 11:26:44	ga_s2bm_ard_3-2-1_51HXC_2023-12-08_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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