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
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KWQ_2018-07-27_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWQ_2018-08-09_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KWQ_2018-08-16_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51KWQ_2018-08-26_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KWQ_2018-09-05_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KWQ_2018-09-08_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KWQ_2018-09-15_final
2020-10-07 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2020-10-07_final
2020-10-17 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2020-10-17_final
2020-10-27 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-10-27_final
2020-11-06 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-11-06_final
2020-11-16 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2020-11-16_final
2020-11-26 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2020-11-26_final
2020-12-06 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2020-12-06_final
2020-12-16 09:53:14	ga_s2bm_ard_3-2-1_55KEQ_2020-12-16_final
2020-12-26 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2020-12-26_final
2021-01-05 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-01-05_final
2021-01-15 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-01-15_final
2021-01-25 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-01-25_final
2021-02-04 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-02-04_final
2021-02-14 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-02-14_final
2021-02-24 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-02-24_final
2021-03-06 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-03-06_final
2021-03-16 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-03-16_final
2021-03-26 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-03-26_final
2021-04-05 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2021-04-05_final
2021-04-15 09:53:14	ga_s2bm_ard_3-2-1_55KEQ_2021-04-15_final
2021-04-25 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2021-04-25_final
2021-05-05 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2021-05-05_final
2021-05-15 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-05-15_final
2021-05-25 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-05-25_final
2021-06-04 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-06-04_final
2021-06-14 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-06-14_final
2021-06-24 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-06-24_final
2021-07-04 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2021-07-04_final
2021-07-14 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2021-07-14_final
2021-07-24 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2021-07-24_final
2021-08-03 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2021-08-03_final
2021-08-13 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-08-13_final
2021-08-23 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-08-23_final
2022-01-11 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2022-01-11_final
2022-01-14 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2022-01-14_final
2022-01-21 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2022-01-21_final
2022-01-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-01-24_final
2022-01-31 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2022-01-31_final
2022-02-03 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-02-03_final
2022-02-10 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2022-02-10_final
2022-02-13 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-02-13_final
2022-02-20 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2022-02-20_final
2022-02-23 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2022-02-23_final
2022-03-02 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2022-03-02_final
2022-03-05 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2022-03-05_final
2022-03-12 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2022-03-12_final
2022-03-15 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2022-03-15_final
2022-03-22 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2022-03-22_final
2022-03-25 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2022-03-25_final
2022-04-01 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2022-04-01_final
2022-04-04 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2022-04-04_final
2022-04-11 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2022-04-11_final
2022-04-14 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2022-04-14_final
2022-04-21 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2022-04-21_final
2022-04-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-04-24_final
2022-05-01 11:03:47	ga_s2bm_ard_3-2-1_52KDV_2022-05-01_final
2022-05-04 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2022-05-04_final
2022-05-11 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2022-05-11_final
2022-05-14 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2022-05-14_final
2022-05-21 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2022-05-21_final
2022-05-24 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2022-05-24_final
2022-05-31 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2022-05-31_final
2022-06-03 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2022-06-03_final
2022-06-10 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2022-06-10_final
2022-06-13 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2022-06-13_final
2022-06-20 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-06-20_final
2022-06-23 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-06-23_final
2022-06-30 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-06-30_final
2022-07-03 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-07-03_final
2022-07-10 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-07-10_final
2022-07-13 11:13:52	ga_s2bm_ard_3-2-1_52KDV_2022-07-13_final
2022-07-20 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-07-20_final
2022-07-23 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-07-23_final
2022-07-30 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-07-30_final
2022-08-02 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-08-02_final
2022-08-09 11:03:57	ga_s2bm_ard_3-2-1_52KDV_2022-08-09_final
2022-08-12 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2022-08-12_final
2022-08-19 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2022-08-19_final
2022-08-22 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2022-08-22_final
2022-08-29 11:03:54	ga_s2bm_ard_3-2-1_52KDV_2022-08-29_final
2022-10-20 10:03:31	ga_s2bm_ard_3-2-1_54KYV_2022-10-20_final.stac-item
2022-12-29 10:03:31	ga_s2bm_ard_3-2-1_54KYV_2022-12-29_final.stac-item
2023-02-07 10:03:23	ga_s2bm_ard_3-2-1_55KBQ_2023-02-07_final.stac-item
2023-02-27 10:03:25	ga_s2bm_ard_3-2-1_55KCQ_2023-02-27_final.stac-item
2023-02-27 10:03:33	ga_s2bm_ard_3-2-1_54KYV_2023-02-27_final.stac-item
2023-03-19 10:03:29	ga_s2bm_ard_3-2-1_54KZV_2023-03-19_final.stac-item
2023-03-29 10:03:35	ga_s2bm_ard_3-2-1_54KYV_2023-03-29_final.stac-item
2023-04-08 10:03:34	ga_s2bm_ard_3-2-1_54KYV_2023-04-08_final.stac-item
2023-05-18 10:03:36	ga_s2bm_ard_3-2-1_54KYV_2023-05-18_final.stac-item
2023-06-27 10:03:37	ga_s2bm_ard_3-2-1_54KYV_2023-06-27_final.stac-item
2023-07-07 10:03:37	ga_s2bm_ard_3-2-1_54KYV_2023-07-07_final.stac-item
2023-07-17 10:03:37	ga_s2bm_ard_3-2-1_54KYV_2023-07-17_final.stac-item
2023-09-15 10:03:35	ga_s2bm_ard_3-2-1_54KYV_2023-09-15_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