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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

57 results

Time (local)	Label
2017-09-01 10:52:11	ga_s2bm_ard_3-2-1_53KKR_2017-09-01_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_54HYF_2017-12-12_final
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_55HEV_2018-02-27_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HQD_2018-03-11_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KDC_2018-04-05_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HDA_2018-04-08_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUS_2018-05-04_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JPL_2018-06-03_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JPF_2018-08-21_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KLB_2018-09-07_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KLA_2018-09-07_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JLH_2018-09-13_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JLG_2018-09-13_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_53LKD_2018-10-09_final
2018-10-17 10:22:49	ga_s2bm_ard_3-2-1_54JUN_2018-10-17_final
2018-11-07 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2018-11-07_final
2019-03-30 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2019-03-30_final
2019-04-05 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2019-04-05_final
2019-04-05 12:03:59	ga_s2bm_ard_3-2-1_50KLA_2019-04-05_final
2019-04-17 11:03:08	ga_s2bm_ard_3-2-1_52KFC_2019-04-17_final
2019-05-02 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-05-02_final
2019-07-19 09:34:05	ga_s2bm_ard_3-2-1_56JLS_2019-07-19_final
2019-08-10 10:15:19	ga_s2bm_ard_3-2-1_54JWN_2019-08-10_final
2019-08-15 09:26:00	ga_s2bm_ard_3-2-1_56HMJ_2019-08-14_final
2019-09-09 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2019-09-09_final.stac-item
2019-11-01 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-11-01_final
2019-11-18 10:16:44	ga_s2bm_ard_3-2-1_54HUG_2019-11-18_final
2019-11-18 10:16:58	ga_s2bm_ard_3-2-1_54HUF_2019-11-18_final
2019-11-22 09:56:46	ga_s2bm_ard_3-2-1_55HCA_2019-11-22_final
2019-12-10 10:53:37	ga_s2bm_ard_3-2-1_52KHV_2019-12-10_final
2019-12-31 10:25:58	ga_s2bm_ard_3-2-1_53HQE_2019-12-31_final
2020-02-03 11:44:24	ga_s2bm_ard_3-2-1_51JTN_2020-02-03_final
2020-02-12 10:35:18	ga_s2bm_ard_3-2-1_53JNH_2020-02-12_final
2020-03-17 10:13:39	ga_s2bm_ard_3-2-1_54KXU_2020-03-17_final
2020-05-02 10:31:57	ga_s2bm_ard_3-2-1_54KUF_2020-05-02_final
2020-05-10 09:55:19	ga_s2bm_ard_3-2-1_55JCG_2020-05-10_final
2020-09-05 10:51:14	ga_s2bm_ard_3-2-1_53LME_2020-09-05_final
2020-09-05 10:51:28	ga_s2bm_ard_3-2-1_53LMD_2020-09-05_final
2020-09-07 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-09-07_final
2020-09-20 10:03:52	ga_s2bm_ard_3-2-1_55JCN_2020-09-20_final
2020-10-13 10:15:19	ga_s2bm_ard_3-2-1_54JVN_2020-10-13_final
2020-11-22 10:12:36	ga_s2bm_ard_3-2-1_54KZC_2020-11-22_final
2020-11-22 10:12:40	ga_s2bm_ard_3-2-1_54KYC_2020-11-22_final
2020-11-23 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2020-11-23_final
2021-05-02 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2021-05-02_final
2021-07-04 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2021-07-04_final
2021-11-30 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2021-11-30_final
2022-01-10 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2022-01-10_final
2022-05-10 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2022-05-10_final
2022-08-27 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2022-08-27_final
2022-11-24 10:54:44	ga_s2bm_ard_3-2-1_52JGR_2022-11-24_final.stac-item
2022-12-04 10:53:08	ga_s2bm_ard_3-2-1_53KLS_2022-12-04_final.stac-item
2023-05-12 11:21:56	ga_s2bm_ard_3-2-1_52LBH_2023-05-12_final.stac-item
2023-06-14 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2023-06-14_final.stac-item
2023-08-24 11:05:06	ga_s2bm_ard_3-2-1_52JEQ_2023-08-24_final.stac-item
2023-09-28 10:12:09	ga_s2bm_ard_3-2-1_55KBV_2023-09-28_final.stac-item
2023-12-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-12-14_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