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
2017-09-30 11:16:43	ga_s2bm_ard_3-2-1_52LEK_2017-09-30_final.stac-item
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LEK_2017-10-07_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52LEK_2018-01-28_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52LEK_2018-04-05_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_52LEK_2018-04-08_final.stac-item
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52LEK_2018-07-24_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_52LEK_2018-07-27_final.stac-item
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LEK_2018-08-03_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52LEK_2018-10-12_final.stac-item
2018-10-15 11:16:56	ga_s2bm_ard_3-2-1_52LEK_2018-10-15_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_52LEK_2018-10-15_final.stac-item
2019-09-27 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2019-09-27_final.stac-item
2019-12-26 11:11:14	ga_s2bm_ard_3-2-1_52LEK_2019-12-26_final.stac-item
2019-12-29 11:21:03	ga_s2bm_ard_3-2-1_52LEK_2019-12-29_final.stac-item
2020-01-05 11:11:11	ga_s2bm_ard_3-2-1_52LEK_2020-01-05_final.stac-item
2020-03-15 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2020-03-15_final.stac-item
2020-03-18 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2020-03-18_final.stac-item
2020-03-25 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2020-03-25_final.stac-item
2020-03-28 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2020-03-28_final.stac-item
2020-06-13 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2020-06-13_final.stac-item
2020-06-16 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2020-06-16_final.stac-item
2020-06-23 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2020-06-23_final.stac-item
2020-06-26 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2020-06-26_final.stac-item
2020-09-24 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2020-09-24_final.stac-item
2020-10-01 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2020-10-01_final.stac-item
2020-10-04 11:21:11	ga_s2bm_ard_3-2-1_52LEK_2020-10-04_final.stac-item
2020-10-11 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2020-10-11_final.stac-item
2020-12-20 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2020-12-20_final.stac-item
2021-10-09 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2021-10-09_final.stac-item
2022-01-04 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2022-01-04_final.stac-item
2022-01-07 11:21:04	ga_s2bm_ard_3-2-1_52LEK_2022-01-07_final.stac-item
2022-01-14 11:11:10	ga_s2bm_ard_3-2-1_52LEK_2022-01-14_final.stac-item
2022-01-14 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2022-01-14_final.stac-item
2022-01-17 11:21:03	ga_s2bm_ard_3-2-1_52LEK_2022-01-17_final.stac-item
2022-01-24 11:11:14	ga_s2bm_ard_3-2-1_52LEK_2022-01-24_final.stac-item
2022-01-27 11:21:02	ga_s2bm_ard_3-2-1_52LEK_2022-01-27_final.stac-item
2022-02-03 11:11:13	ga_s2bm_ard_3-2-1_52LEK_2022-02-03_final.stac-item
2022-02-06 11:21:02	ga_s2bm_ard_3-2-1_52LEK_2022-02-06_final.stac-item
2022-02-13 11:11:13	ga_s2bm_ard_3-2-1_52LEK_2022-02-13_final.stac-item
2022-02-16 11:21:02	ga_s2bm_ard_3-2-1_52LEK_2022-02-16_final.stac-item
2022-03-25 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2022-03-25_final.stac-item
2022-03-28 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2022-03-28_final.stac-item
2022-04-04 11:11:14	ga_s2bm_ard_3-2-1_52LEK_2022-04-04_final.stac-item
2022-04-04 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2022-04-04_final.stac-item
2022-04-07 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2022-04-07_final.stac-item
2022-04-14 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2022-04-14_final.stac-item
2022-04-14 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2022-04-14_final.stac-item
2022-04-17 11:21:04	ga_s2bm_ard_3-2-1_52LEK_2022-04-17_final.stac-item
2022-04-24 11:11:13	ga_s2bm_ard_3-2-1_52LEK_2022-04-24_final.stac-item
2022-04-24 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2022-04-24_final.stac-item
2022-04-27 11:21:01	ga_s2bm_ard_3-2-1_52LEK_2022-04-27_final.stac-item
2022-05-27 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2022-05-27_final.stac-item
2022-06-03 11:11:19	ga_s2bm_ard_3-2-1_52LEK_2022-06-03_final.stac-item
2022-06-06 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2022-06-06_final.stac-item
2022-06-13 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2022-06-13_final.stac-item
2022-06-16 11:21:11	ga_s2bm_ard_3-2-1_52LEK_2022-06-16_final.stac-item
2022-06-23 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2022-06-23_final.stac-item
2022-06-26 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2022-06-26_final.stac-item
2022-07-03 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2022-07-03_final.stac-item
2022-07-06 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2022-07-06_final.stac-item
2022-07-13 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2022-07-13_final.stac-item
2022-07-16 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2022-07-16_final.stac-item
2022-07-23 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2022-07-23_final.stac-item
2022-08-02 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2022-08-02_final.stac-item
2023-03-10 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2023-03-10_final.stac-item
2023-03-13 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2023-03-13_final.stac-item
2023-03-20 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-03-20_final.stac-item
2023-03-20 11:11:31	ga_s2bm_ard_3-2-1_52LEK_2023-03-20_final.stac-item
2023-03-23 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-03-23_final.stac-item
2023-03-30 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-03-30_final.stac-item
2023-04-02 11:21:11	ga_s2bm_ard_3-2-1_52LEK_2023-04-02_final.stac-item
2023-04-09 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-09_final.stac-item
2023-04-12 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2023-04-12_final.stac-item
2023-04-19 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-19_final.stac-item
2023-04-22 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-04-22_final.stac-item
2023-04-29 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-29_final.stac-item
2023-05-02 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-05-02_final.stac-item
2023-05-09 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-05-09_final.stac-item
2023-05-12 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-05-12_final.stac-item
2023-05-19 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2023-05-19_final.stac-item
2023-05-22 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2023-05-22_final.stac-item
2023-05-29 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2023-05-29_final.stac-item
2023-05-29 11:11:31	ga_s2bm_ard_3-2-1_52LEK_2023-05-29_final.stac-item
2023-06-01 11:21:11	ga_s2bm_ard_3-2-1_52LEK_2023-06-01_final.stac-item
2023-06-08 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-06-08_final.stac-item
2023-06-08 11:11:29	ga_s2bm_ard_3-2-1_52LEK_2023-06-08_final.stac-item
2023-06-11 11:21:13	ga_s2bm_ard_3-2-1_52LEK_2023-06-11_final.stac-item
2023-06-28 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2023-06-28_final.stac-item
2023-06-28 11:11:31	ga_s2bm_ard_3-2-1_52LEK_2023-06-28_final.stac-item
2023-07-08 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2023-07-08_final.stac-item
2023-07-08 11:11:32	ga_s2bm_ard_3-2-1_52LEK_2023-07-08_final.stac-item
2023-07-11 11:21:13	ga_s2bm_ard_3-2-1_52LEK_2023-07-11_final.stac-item
2023-10-16 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-10-16_final.stac-item
2023-10-16 11:11:29	ga_s2bm_ard_3-2-1_52LEK_2023-10-16_final.stac-item
2023-10-19 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-10-19_final.stac-item
2023-10-26 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2023-10-26_final.stac-item
2023-10-29 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2023-10-29_final.stac-item
2023-11-05 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-11-05_final.stac-item
2023-11-15 11:11:19	ga_s2bm_ard_3-2-1_52LEK_2023-11-15_final.stac-item
2023-11-18 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2023-11-18_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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