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
2019-01-24 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2019-01-24_final
2019-01-31 10:41:24	ga_s2bm_ard_3-2-1_53LPD_2019-01-31_final
2019-02-03 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2019-02-03_final
2019-02-10 10:41:23	ga_s2bm_ard_3-2-1_53LPD_2019-02-10_final
2019-02-13 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2019-02-13_final
2019-02-20 10:41:23	ga_s2bm_ard_3-2-1_53LPD_2019-02-20_final
2019-02-23 10:51:17	ga_s2bm_ard_3-2-1_53LPD_2019-02-23_final
2019-03-02 10:41:21	ga_s2bm_ard_3-2-1_53LPD_2019-03-02_final
2019-03-05 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2019-03-05_final
2019-03-12 10:41:21	ga_s2bm_ard_3-2-1_53LPD_2019-03-12_final
2019-03-15 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2019-03-15_final
2019-03-22 10:41:23	ga_s2bm_ard_3-2-1_53LPD_2019-03-22_final
2019-03-25 10:51:19	ga_s2bm_ard_3-2-1_53LPD_2019-03-25_final
2019-04-01 10:41:26	ga_s2bm_ard_3-2-1_53LPD_2019-04-01_final
2019-04-04 10:51:21	ga_s2bm_ard_3-2-1_53LPD_2019-04-04_final
2019-04-11 10:41:28	ga_s2bm_ard_3-2-1_53LPD_2019-04-11_final
2019-04-14 10:51:23	ga_s2bm_ard_3-2-1_53LPD_2019-04-14_final
2019-04-21 10:41:30	ga_s2bm_ard_3-2-1_53LPD_2019-04-21_final
2019-04-24 10:51:25	ga_s2bm_ard_3-2-1_53LPD_2019-04-24_final
2019-05-01 10:41:31	ga_s2bm_ard_3-2-1_53LPD_2019-05-01_final
2019-05-04 10:51:26	ga_s2bm_ard_3-2-1_53LPD_2019-05-04_final
2019-05-11 10:41:32	ga_s2bm_ard_3-2-1_53LPD_2019-05-11_final
2019-05-14 10:51:27	ga_s2bm_ard_3-2-1_53LPD_2019-05-14_final
2019-05-24 10:51:27	ga_s2bm_ard_3-2-1_53LPD_2019-05-24_final
2019-05-31 10:41:32	ga_s2bm_ard_3-2-1_53LPD_2019-05-31_final
2019-06-03 10:51:26	ga_s2bm_ard_3-2-1_53LPD_2019-06-03_final
2019-06-10 10:41:31	ga_s2bm_ard_3-2-1_53LPD_2019-06-10_final
2019-06-13 10:51:25	ga_s2bm_ard_3-2-1_53LPD_2019-06-13_final
2019-06-20 10:41:31	ga_s2bm_ard_3-2-1_53LPD_2019-06-20_final
2019-06-23 10:51:26	ga_s2bm_ard_3-2-1_53LPD_2019-06-23_final
2019-06-30 10:41:32	ga_s2bm_ard_3-2-1_53LPD_2019-06-30_final
2019-07-03 10:51:27	ga_s2bm_ard_3-2-1_53LPD_2019-07-03_final
2019-07-10 10:41:32	ga_s2bm_ard_3-2-1_53LPD_2019-07-10_final
2019-07-13 10:51:27	ga_s2bm_ard_3-2-1_53LPD_2019-07-13_final
2019-07-13 10:51:33	ga_s2bm_ard_3-2-1_53LPD_2019-07-13_final
2019-07-13 10:51:34	ga_s2bm_ard_3-2-1_53LPC_2019-07-13_final
2019-07-20 10:41:32	ga_s2bm_ard_3-2-1_53LPD_2019-07-20_final
2019-07-23 10:51:27	ga_s2bm_ard_3-2-1_53LPD_2019-07-23_final
2019-07-30 10:41:31	ga_s2bm_ard_3-2-1_53LPD_2019-07-30_final
2019-08-02 10:51:26	ga_s2bm_ard_3-2-1_53LPD_2019-08-02_final
2019-08-09 10:41:30	ga_s2bm_ard_3-2-1_53LPD_2019-08-09_final
2019-08-12 10:51:25	ga_s2bm_ard_3-2-1_53LPD_2019-08-12_final
2019-08-19 10:41:29	ga_s2bm_ard_3-2-1_53LPD_2019-08-19_final
2019-08-22 10:51:23	ga_s2bm_ard_3-2-1_53LPD_2019-08-22_final
2019-08-29 10:41:27	ga_s2bm_ard_3-2-1_53LPD_2019-08-29_final
2019-09-01 10:51:22	ga_s2bm_ard_3-2-1_53LPD_2019-09-01_final
2019-09-08 10:41:25	ga_s2bm_ard_3-2-1_53LPD_2019-09-08_final
2019-09-11 10:51:19	ga_s2bm_ard_3-2-1_53LPD_2019-09-11_final
2019-09-18 10:41:22	ga_s2bm_ard_3-2-1_53LPD_2019-09-18_final
2019-09-21 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2019-09-21_final
2019-10-11 10:51:19	ga_s2bm_ard_3-2-1_53LPD_2019-10-11_final
2019-10-18 10:41:24	ga_s2bm_ard_3-2-1_53LPD_2019-10-18_final
2019-10-28 10:41:24	ga_s2bm_ard_3-2-1_53LPD_2019-10-28_final
2019-10-31 10:51:19	ga_s2bm_ard_3-2-1_53LPD_2019-10-31_final
2019-11-07 10:41:23	ga_s2bm_ard_3-2-1_53LPD_2019-11-07_final
2019-11-10 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2019-11-10_final
2019-11-17 10:41:22	ga_s2bm_ard_3-2-1_53LPD_2019-11-17_final
2019-11-27 10:41:19	ga_s2bm_ard_3-2-1_53LPD_2019-11-27_final
2019-11-30 10:51:14	ga_s2bm_ard_3-2-1_53LPD_2019-11-30_final
2019-12-07 10:41:17	ga_s2bm_ard_3-2-1_53LPD_2019-12-07_final
2019-12-17 10:41:18	ga_s2bm_ard_3-2-1_53LPD_2019-12-17_final
2019-12-30 10:51:13	ga_s2bm_ard_3-2-1_53LPD_2019-12-30_final
2020-01-06 10:41:18	ga_s2bm_ard_3-2-1_53LPD_2020-01-06_final
2020-01-16 10:41:17	ga_s2bm_ard_3-2-1_53LPD_2020-01-16_final
2020-01-29 10:51:11	ga_s2bm_ard_3-2-1_53LPD_2020-01-29_final
2020-02-05 10:41:17	ga_s2bm_ard_3-2-1_53LPD_2020-02-05_final
2020-02-08 10:51:13	ga_s2bm_ard_3-2-1_53LPD_2020-02-08_final
2020-02-18 10:51:14	ga_s2bm_ard_3-2-1_53LPD_2020-02-18_final
2020-02-28 10:51:15	ga_s2bm_ard_3-2-1_53LPD_2020-02-28_final
2020-03-09 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2020-03-09_final
2020-03-19 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2020-03-19_final
2020-03-29 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2020-03-29_final
2020-04-05 10:41:20	ga_s2bm_ard_3-2-1_53LPD_2020-04-05_final
2020-04-08 10:51:15	ga_s2bm_ard_3-2-1_53LPD_2020-04-08_final
2020-04-08 10:51:22	ga_s2bm_ard_3-2-1_53LPD_2020-04-08_final
2020-04-28 10:51:14	ga_s2bm_ard_3-2-1_53LPD_2020-04-28_final
2020-05-08 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2020-05-08_final
2020-05-15 10:41:23	ga_s2bm_ard_3-2-1_53LPD_2020-05-15_final
2022-10-12 10:42:47	ga_s2bm_ard_3-2-1_53KPT_2022-10-12_final.stac-item
2022-10-12 10:42:49	ga_s2bm_ard_3-2-1_53KNT_2022-10-12_final.stac-item
2022-11-21 10:42:46	ga_s2bm_ard_3-2-1_53KPT_2022-11-21_final.stac-item
2022-11-21 10:42:48	ga_s2bm_ard_3-2-1_53KNT_2022-11-21_final.stac-item
2023-01-20 10:42:44	ga_s2bm_ard_3-2-1_53KPT_2023-01-20_final.stac-item
2023-01-30 10:44:11	ga_s2bm_ard_3-2-1_53JNM_2023-01-30_final.stac-item
2023-02-19 10:42:47	ga_s2bm_ard_3-2-1_53KPT_2023-02-19_final.stac-item
2023-03-01 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2023-03-01_final.stac-item
2023-05-30 10:42:53	ga_s2bm_ard_3-2-1_53KPT_2023-05-30_final.stac-item
2023-06-09 10:42:52	ga_s2bm_ard_3-2-1_53KPT_2023-06-09_final.stac-item
2023-06-29 10:42:54	ga_s2bm_ard_3-2-1_53KPT_2023-06-29_final.stac-item
2023-07-29 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2023-07-29_final.stac-item
2023-07-29 10:42:53	ga_s2bm_ard_3-2-1_53KNT_2023-07-29_final.stac-item
2023-08-08 10:42:54	ga_s2bm_ard_3-2-1_53KPT_2023-08-08_final.stac-item
2023-10-07 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2023-10-07_final.stac-item
2023-11-16 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2023-11-16_final.stac-item
2024-02-14 10:42:48	ga_s2bm_ard_3-2-1_53KNT_2024-02-14_final.stac-item
2024-03-15 10:42:45	ga_s2bm_ard_3-2-1_53KPT_2024-03-15_final.stac-item
2024-03-25 10:42:50	ga_s2bm_ard_3-2-1_53KNT_2024-03-25_final.stac-item
2024-04-24 10:42:48	ga_s2bm_ard_3-2-1_53KPT_2024-04-24_final.stac-item
2024-04-24 10:42:50	ga_s2bm_ard_3-2-1_53KNT_2024-04-24_final.stac-item
2024-05-04 10:42:48	ga_s2bm_ard_3-2-1_53KPT_2024-05-04_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

All years