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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

42 results

Time (local)	Label
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_55HEE_2017-07-02_final
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_54JUT_2017-10-02_final
2017-10-04 10:57:00	ga_s2bm_ard_3-2-1_52KGG_2017-10-04_final
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JDG_2017-11-02_final
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54KYE_2017-12-18_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HCS_2018-01-18_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52LHK_2018-04-22_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHJ_2018-05-12_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JXM_2018-06-27_final
2018-12-28 11:04:29	ga_s2bm_ard_3-2-1_52JES_2018-12-28_final
2019-02-17 10:33:16	ga_s2bm_ard_3-2-1_53KRR_2019-02-17_final
2019-06-27 10:33:10	ga_s2bm_ard_3-2-1_54KTB_2019-06-27_final
2019-07-19 11:12:55	ga_s2bm_ard_3-2-1_52KED_2019-07-19_final
2019-08-06 10:33:10	ga_s2bm_ard_3-2-1_53KRS_2019-08-06_final
2019-10-25 10:33:03	ga_s2bm_ard_3-2-1_53KRS_2019-10-25_final
2020-01-10 10:23:53	ga_s2bm_ard_3-2-1_54JVT_2020-01-10_final
2020-02-20 09:54:31	ga_s2bm_ard_3-2-1_55JDK_2020-02-20_final
2020-03-15 11:12:44	ga_s2bm_ard_3-2-1_52KED_2020-03-15_final
2020-06-16 09:45:03	ga_s2bm_ard_3-2-1_55JFH_2020-06-16_final
2020-11-29 10:03:49	ga_s2bm_ard_3-2-1_55JCN_2020-11-29_final
2020-12-29 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2020-12-29_final
2020-12-31 10:44:52	ga_s2bm_ard_3-2-1_53JMK_2020-12-31_final
2021-01-21 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-01-21_final
2021-03-25 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2021-03-25_final
2021-05-15 09:53:03	ga_s2bm_ard_3-2-1_55KER_2021-05-15_final
2021-08-20 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2021-08-20_final
2021-08-22 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2021-08-22_final
2021-09-05 11:45:32	ga_s2bm_ard_3-2-1_50JPP_2021-09-05_final
2021-09-29 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2021-09-29_final
2021-11-20 10:20:54	ga_s2bm_ard_3-2-1_54LXK_2021-11-20_final
2022-05-15 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2022-05-15_final
2022-07-03 11:12:55	ga_s2bm_ard_3-2-1_52KDD_2022-07-03_final
2022-07-06 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2022-07-06_final
2022-10-08 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2022-10-08_final.stac-item
2022-12-09 11:45:32	ga_s2bm_ard_3-2-1_50JPP_2022-12-09_final.stac-item
2023-05-02 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-05-02_final.stac-item
2023-08-19 11:54:13	ga_s2bm_ard_3-2-1_50KNV_2023-08-19_final.stac-item
2023-09-29 09:44:34	ga_s2bm_ard_3-2-1_55JFK_2023-09-29_final.stac-item
2023-10-28 10:12:27	ga_s2bm_ard_3-2-1_54KYD_2023-10-28_final.stac-item
2023-12-17 11:54:08	ga_s2bm_ard_3-2-1_50KNV_2023-12-17_final.stac-item
2024-01-07 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2024-01-07_final.stac-item
2024-05-01 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2024-05-01_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