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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

46 results

Time (local)	Label
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KZT_2017-10-20_final
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_54HYF_2017-10-23_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55JEM_2018-01-11_final
2018-05-07 10:07:03	ga_s2bm_ard_3-2-1_54KYA_2018-05-07_final
2018-05-22 09:22:42	ga_s2bm_ard_3-2-1_56HMK_2018-05-21_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54JUS_2018-05-30_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWU_2018-06-20_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUB_2018-09-11_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KXV_2018-09-24_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53KPU_2018-10-13_final
2018-11-16 10:21:52	ga_s2bm_ard_3-2-1_54KXF_2018-11-16_final
2018-11-18 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2018-11-18_final
2018-12-31 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2018-12-31_final
2019-03-19 10:33:30	ga_s2bm_ard_3-2-1_54KTV_2019-03-19_final
2019-04-06 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2019-04-06_final
2019-05-02 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-05-02_final
2019-07-19 11:11:28	ga_s2bm_ard_3-2-1_52LEK_2019-07-19_final.stac-item
2019-08-13 10:25:24	ga_s2bm_ard_3-2-1_54JTN_2019-08-13_final
2019-09-03 09:52:20	ga_s2bm_ard_3-2-1_55KFU_2019-09-03_final
2020-03-28 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2020-03-28_final
2020-05-24 09:33:25	ga_s2bm_ard_3-2-1_56KMU_2020-05-24_final
2020-08-04 10:11:56	ga_s2bm_ard_3-2-1_54KZF_2020-08-04_final
2020-09-16 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-09-16_final
2020-09-27 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-09-27_final
2020-09-29 10:31:02	ga_s2bm_ard_3-2-1_54LVK_2020-09-29_final.stac-item
2020-09-30 10:03:53	ga_s2bm_ard_3-2-1_55JCN_2020-09-30_final
2020-10-14 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2020-10-14_final
2020-10-17 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2020-10-17_final
2021-01-08 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-01-08_final
2021-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-01-18_final.stac-item
2021-02-21 09:45:45	ga_s2bm_ard_3-2-1_55HEE_2021-02-21_final
2021-05-25 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2021-05-25_final
2021-10-01 10:23:28	ga_s2bm_ard_3-2-1_54KVV_2021-10-01_final
2021-10-22 09:53:05	ga_s2bm_ard_3-2-1_55KER_2021-10-22_final
2021-12-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2021-12-05_final
2021-12-13 10:32:13	ga_s2bm_ard_3-2-1_53KRV_2021-12-13_final
2022-01-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2022-01-07_final
2022-03-19 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2022-03-19_final
2022-05-07 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2022-05-07_final
2022-06-27 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2022-06-27_final
2022-07-30 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2022-07-30_final
2022-09-22 10:43:10	ga_s2bm_ard_3-2-1_53KNS_2022-09-22_final.stac-item
2022-10-23 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2022-10-23_final.stac-item
2022-11-14 10:53:39	ga_s2bm_ard_3-2-1_53KLQ_2022-11-14_final.stac-item
2023-05-13 10:53:13	ga_s2bm_ard_3-2-1_53KLS_2023-05-13_final.stac-item
2023-05-22 09:44:00	ga_s2bm_ard_3-2-1_55JHM_2023-05-22_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