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
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_53HPV_2018-02-09_final.stac-item
2018-02-19 10:23:20	ga_s2bm_ard_3-2-1_53HPV_2018-02-19_final.stac-item
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_53HPV_2018-03-01_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPV_2018-03-11_final.stac-item
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_53HPV_2018-04-10_final.stac-item
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HPV_2018-06-19_final.stac-item
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_53HPV_2018-06-29_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_53HPV_2018-07-19_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_53HPV_2018-07-29_final.stac-item
2018-08-28 10:21:53	ga_s2bm_ard_3-2-1_53HPV_2018-08-28_final.stac-item
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_53HPV_2018-09-07_final.stac-item
2018-09-17 10:22:40	ga_s2bm_ard_3-2-1_53HPV_2018-09-17_final.stac-item
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53HPV_2018-10-27_final.stac-item
2018-11-16 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2018-11-16_final.stac-item
2018-11-26 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2018-11-26_final.stac-item
2018-12-06 10:27:10	ga_s2bm_ard_3-2-1_53HPV_2018-12-06_final.stac-item
2018-12-16 10:27:09	ga_s2bm_ard_3-2-1_53HPV_2018-12-16_final.stac-item
2019-01-15 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2019-01-15_final.stac-item
2019-01-25 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2019-01-25_final.stac-item
2019-02-14 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2019-02-14_final.stac-item
2019-03-06 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2019-03-06_final.stac-item
2019-03-26 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2019-03-26_final.stac-item
2019-04-05 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2019-04-05_final.stac-item
2019-05-15 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-05-15_final.stac-item
2019-05-25 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-05-25_final.stac-item
2019-06-14 10:27:22	ga_s2bm_ard_3-2-1_53HPV_2019-06-14_final.stac-item
2019-06-24 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-06-24_final.stac-item
2019-07-04 10:27:24	ga_s2bm_ard_3-2-1_53HPV_2019-07-04_final.stac-item
2019-07-14 10:27:24	ga_s2bm_ard_3-2-1_53HPV_2019-07-14_final.stac-item
2019-07-24 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-07-24_final.stac-item
2019-09-02 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2019-09-02_final.stac-item
2019-09-12 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2019-09-12_final.stac-item
2019-09-22 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2019-09-22_final.stac-item
2019-10-02 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2019-10-02_final.stac-item
2019-10-12 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2019-10-12_final.stac-item
2019-10-22 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2019-10-22_final.stac-item
2019-11-11 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2019-11-11_final.stac-item
2019-11-21 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2019-11-21_final.stac-item
2019-12-01 10:27:10	ga_s2bm_ard_3-2-1_53HPV_2019-12-01_final.stac-item
2019-12-31 10:27:10	ga_s2bm_ard_3-2-1_53HPV_2019-12-31_final.stac-item
2020-01-30 10:27:07	ga_s2bm_ard_3-2-1_53HPV_2020-01-30_final.stac-item
2020-02-09 10:27:09	ga_s2bm_ard_3-2-1_53HPV_2020-02-09_final.stac-item
2020-02-19 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2020-02-19_final.stac-item
2020-03-10 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2020-03-10_final.stac-item
2020-05-29 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2020-05-29_final.stac-item
2020-06-08 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-06-08_final.stac-item
2020-06-18 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-06-18_final.stac-item
2020-07-08 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-07-08_final.stac-item
2020-07-18 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2020-07-18_final.stac-item
2020-07-28 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-07-28_final.stac-item
2020-08-17 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2020-08-17_final.stac-item
2020-08-27 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2020-08-27_final.stac-item
2020-09-16 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-09-16_final.stac-item
2020-11-05 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-11-05_final.stac-item
2020-12-05 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2020-12-05_final.stac-item
2020-12-05 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2020-12-05_final.stac-item
2020-12-15 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2020-12-15_final.stac-item
2021-01-04 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-01-04_final.stac-item
2021-01-14 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-01-14_final.stac-item
2021-01-24 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2021-01-24_final.stac-item
2021-02-03 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-02-03_final.stac-item
2021-02-13 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2021-02-13_final.stac-item
2021-03-25 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-03-25_final.stac-item
2021-04-14 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2021-04-14_final.stac-item
2021-06-03 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2021-06-03_final.stac-item
2021-06-23 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2021-06-23_final.stac-item
2021-07-03 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2021-07-03_final.stac-item
2021-10-01 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-10-01_final.stac-item
2021-10-21 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2021-10-21_final.stac-item
2021-11-20 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2021-11-20_final.stac-item
2022-02-18 10:27:08	ga_s2bm_ard_3-2-1_53HPV_2022-02-18_final.stac-item
2022-07-18 10:27:20	ga_s2bm_ard_3-2-1_53HPV_2022-07-18_final.stac-item
2022-09-26 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2022-09-26_final.stac-item
2022-10-26 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2022-10-26_final.stac-item
2022-11-15 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2022-11-15_final.stac-item
2022-12-05 10:26:29	ga_s2bm_ard_3-2-1_53HPC_2022-12-05_final.stac-item
2022-12-08 10:33:51	ga_s2bm_ard_3-2-1_53KQP_2022-12-08_final.stac-item
2022-12-25 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2022-12-25_final.stac-item
2023-01-04 10:26:44	ga_s2bm_ard_3-2-1_53HPB_2023-01-04_final.stac-item
2023-01-07 10:33:40	ga_s2bm_ard_3-2-1_53KQQ_2023-01-07_final.stac-item
2023-01-07 10:35:10	ga_s2bm_ard_3-2-1_53JPJ_2023-01-07_final.stac-item
2023-01-17 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2023-01-17_final.stac-item
2023-01-24 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2023-01-24_final.stac-item
2023-08-12 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2023-08-12_final.stac-item
2023-08-25 10:36:19	ga_s2bm_ard_3-2-1_53HPD_2023-08-25_final.stac-item
2023-09-01 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-09-01_final.stac-item
2023-12-03 10:33:33	ga_s2bm_ard_3-2-1_53KQQ_2023-12-03_final.stac-item
2023-12-03 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2023-12-03_final.stac-item
2023-12-10 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2023-12-10_final.stac-item
2023-12-10 10:27:10	ga_s2bm_ard_3-2-1_53HPV_2023-12-10_final.stac-item
2023-12-30 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2023-12-30_final.stac-item
2023-12-30 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2023-12-30_final.stac-item
2024-01-02 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2024-01-02_final.stac-item
2024-01-09 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2024-01-09_final.stac-item
2024-01-12 10:33:34	ga_s2bm_ard_3-2-1_53KQQ_2024-01-12_final.stac-item
2024-01-12 10:35:04	ga_s2bm_ard_3-2-1_53JPJ_2024-01-12_final.stac-item
2024-02-08 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2024-02-08_final.stac-item
2024-02-18 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2024-02-18_final.stac-item
2024-03-19 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2024-03-19_final.stac-item
2024-04-04 10:41:55	ga_s2bm_ard_3-2-1_53KQB_2024-04-04_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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