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
2017-08-27 10:01:47	ga_s2bm_ard_3-2-1_55KEU_2017-08-27_final
2017-09-06 09:57:00	ga_s2bm_ard_3-2-1_55KEU_2017-09-06_final
2017-10-06 10:01:36	ga_s2bm_ard_3-2-1_55KEU_2017-10-06_final
2017-10-16 09:56:53	ga_s2bm_ard_3-2-1_55KEU_2017-10-16_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_55KEU_2018-01-14_final
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_55KEU_2018-02-03_final
2018-02-13 10:01:34	ga_s2bm_ard_3-2-1_55KEU_2018-02-13_final
2018-02-17 09:41:01	ga_s2bm_ard_3-2-1_56KMD_2018-02-17_final.stac-item
2018-04-04 09:57:04	ga_s2bm_ard_3-2-1_55KEU_2018-04-04_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_56KMD_2018-04-08_final.stac-item
2018-04-14 09:57:05	ga_s2bm_ard_3-2-1_55KEU_2018-04-14_final
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_55KEU_2018-04-24_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-04-28_final.stac-item
2018-05-04 09:57:06	ga_s2bm_ard_3-2-1_55KEU_2018-05-04_final
2018-05-14 09:57:06	ga_s2bm_ard_3-2-1_55KEU_2018-05-14_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-05-18_final.stac-item
2018-05-24 09:57:05	ga_s2bm_ard_3-2-1_55KEU_2018-05-24_final
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_56KMD_2018-05-28_final.stac-item
2018-06-03 09:57:04	ga_s2bm_ard_3-2-1_55KEU_2018-06-03_final
2018-06-13 09:57:05	ga_s2bm_ard_3-2-1_55KEU_2018-06-13_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-06-17_final.stac-item
2018-06-23 09:57:06	ga_s2bm_ard_3-2-1_55KEU_2018-06-23_final
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-06-27_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55KEU_2018-07-03_final
2018-07-07 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-07-07_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55KEU_2018-07-13_final
2018-07-23 09:57:05	ga_s2bm_ard_3-2-1_55KEU_2018-07-23_final
2018-08-02 09:57:04	ga_s2bm_ard_3-2-1_55KEU_2018-08-02_final
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_55KEU_2018-08-12_final
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_55KEU_2018-08-22_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KEU_2018-09-01_final
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_55KEU_2018-09-11_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_56KMD_2018-09-15_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_55KEU_2018-09-21_final
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_56KMD_2018-09-25_final.stac-item
2018-10-01 09:57:02	ga_s2bm_ard_3-2-1_55KEU_2018-10-01_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_56KMD_2018-10-05_final.stac-item
2018-10-11 09:57:03	ga_s2bm_ard_3-2-1_55KEU_2018-10-11_final
2018-10-21 10:02:03	ga_s2bm_ard_3-2-1_55KEU_2018-10-21_final
2018-10-31 09:57:05	ga_s2bm_ard_3-2-1_55KEU_2018-10-31_final
2018-11-10 10:02:13	ga_s2bm_ard_3-2-1_55KEU_2018-11-10_final
2018-11-14 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2018-11-14_final.stac-item
2018-11-20 10:02:12	ga_s2bm_ard_3-2-1_55KEU_2018-11-20_final
2018-12-10 10:02:09	ga_s2bm_ard_3-2-1_55KEU_2018-12-10_final
2018-12-20 10:02:10	ga_s2bm_ard_3-2-1_55KEU_2018-12-20_final
2018-12-24 09:42:03	ga_s2bm_ard_3-2-1_56KMD_2018-12-24_final.stac-item
2018-12-30 10:02:12	ga_s2bm_ard_3-2-1_55KEU_2018-12-30_final
2019-01-03 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2019-01-03_final.stac-item
2019-01-09 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2019-01-09_final
2019-01-19 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-01-19_final
2019-01-29 10:02:16	ga_s2bm_ard_3-2-1_55KEU_2019-01-29_final
2019-02-02 09:42:07	ga_s2bm_ard_3-2-1_56KMD_2019-02-02_final.stac-item
2019-02-08 10:02:16	ga_s2bm_ard_3-2-1_55KEU_2019-02-08_final
2019-02-18 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-02-18_final
2019-02-22 09:42:06	ga_s2bm_ard_3-2-1_56KMD_2019-02-22_final.stac-item
2019-02-28 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2019-02-28_final
2019-03-04 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2019-03-04_final.stac-item
2019-03-10 10:02:13	ga_s2bm_ard_3-2-1_55KEU_2019-03-10_final
2019-03-14 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2019-03-14_final.stac-item
2019-03-20 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2019-03-20_final
2019-03-30 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2019-03-30_final
2019-04-09 10:02:19	ga_s2bm_ard_3-2-1_55KEU_2019-04-09_final
2019-04-13 09:42:12	ga_s2bm_ard_3-2-1_56KMD_2019-04-13_final.stac-item
2019-04-19 10:02:21	ga_s2bm_ard_3-2-1_55KEU_2019-04-19_final
2019-04-29 10:02:23	ga_s2bm_ard_3-2-1_55KEU_2019-04-29_final
2019-05-09 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-05-09_final
2019-05-13 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-05-13_final.stac-item
2019-05-19 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-05-19_final
2019-05-23 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-05-23_final.stac-item
2019-05-29 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-05-29_final
2019-06-02 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-06-02_final.stac-item
2019-06-08 10:02:23	ga_s2bm_ard_3-2-1_55KEU_2019-06-08_final
2019-06-12 09:42:14	ga_s2bm_ard_3-2-1_56KMD_2019-06-12_final.stac-item
2019-06-18 10:02:23	ga_s2bm_ard_3-2-1_55KEU_2019-06-18_final
2019-06-22 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-06-22_final.stac-item
2019-06-28 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-06-28_final
2019-07-02 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-07-02_final.stac-item
2019-07-08 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-07-08_final
2019-07-12 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-07-12_final.stac-item
2019-07-18 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-07-18_final
2019-07-28 10:02:24	ga_s2bm_ard_3-2-1_55KEU_2019-07-28_final
2019-08-07 10:02:23	ga_s2bm_ard_3-2-1_55KEU_2019-08-07_final
2019-08-11 09:42:14	ga_s2bm_ard_3-2-1_56KMD_2019-08-11_final.stac-item
2019-08-17 10:02:21	ga_s2bm_ard_3-2-1_55KEU_2019-08-17_final
2019-08-27 10:02:20	ga_s2bm_ard_3-2-1_55KEU_2019-08-27_final
2019-09-06 10:02:18	ga_s2bm_ard_3-2-1_55KEU_2019-09-06_final
2019-09-10 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2019-09-10_final.stac-item
2019-09-16 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-09-16_final
2019-09-26 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-09-26_final
2019-10-06 10:02:16	ga_s2bm_ard_3-2-1_55KEU_2019-10-06_final
2019-10-10 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2019-10-10_final.stac-item
2019-10-16 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2019-10-16_final
2019-10-26 10:02:16	ga_s2bm_ard_3-2-1_55KEU_2019-10-26_final
2019-11-05 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-11-05_final
2019-11-15 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2019-11-15_final
2019-11-25 10:02:12	ga_s2bm_ard_3-2-1_55KEU_2019-11-25_final
2019-11-29 09:42:02	ga_s2bm_ard_3-2-1_56KMD_2019-11-29_final.stac-item
2019-12-05 10:02:09	ga_s2bm_ard_3-2-1_55KEU_2019-12-05_final
2019-12-09 09:42:01	ga_s2bm_ard_3-2-1_56KMD_2019-12-09_final.stac-item
2019-12-15 10:02:10	ga_s2bm_ard_3-2-1_55KEU_2019-12-15_final

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