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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

43 results

Time (local)	Label
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KMU_2015-08-18_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KLA_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50KLA_2016-09-12_final.stac-item
2016-09-23 09:52:34	ga_s2am_ard_3-2-1_55JCG_2016-09-23_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55KCP_2017-04-24_final.stac-item
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55JDJ_2017-06-30_final
2017-08-15 10:07:06	ga_s2am_ard_3-2-1_55KBA_2017-08-15_final
2017-08-25 10:10:28	ga_s2am_ard_3-2-1_55KBA_2017-08-25_final
2017-09-04 10:07:04	ga_s2am_ard_3-2-1_55KBU_2017-09-04_final
2018-04-09 09:57:08	ga_s2am_ard_3-2-1_55KCQ_2018-04-09_final
2018-06-02 09:41:10	ga_s2am_ard_3-2-1_55JFF_2018-06-02_final
2018-06-07 10:27:08	ga_s2am_ard_3-2-1_53KRR_2018-06-07_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KTQ_2018-06-28_final
2019-07-25 10:42:08	ga_s2am_ard_3-2-1_53KQA_2019-07-25_final
2019-07-31 11:01:31	ga_s2am_ard_3-2-1_53LKD_2019-07-31_final
2019-08-12 11:45:39	ga_s2am_ard_3-2-1_50JPP_2019-08-12_final
2019-10-14 11:54:11	ga_s2am_ard_3-2-1_50KNV_2019-10-14_final
2019-11-07 09:54:22	ga_s2am_ard_3-2-1_55JDL_2019-11-07_final
2019-12-04 09:45:28	ga_s2am_ard_3-2-1_55JFF_2019-12-04_final
2020-01-18 10:33:25	ga_s2am_ard_3-2-1_54KTV_2020-01-18_final
2020-03-16 09:53:58	ga_s2am_ard_3-2-1_55JEM_2020-03-16_final
2020-04-11 10:14:37	ga_s2am_ard_3-2-1_54JXQ_2020-04-11_final
2020-05-01 10:14:42	ga_s2am_ard_3-2-1_54JXQ_2020-05-01_final
2020-08-24 11:01:34	ga_s2am_ard_3-2-1_52LHJ_2020-08-24_final
2020-11-07 10:16:03	ga_s2am_ard_3-2-1_54HVK_2020-11-07_final
2021-01-06 10:15:59	ga_s2am_ard_3-2-1_54HVK_2021-01-06_final
2021-05-30 09:55:51	ga_s2am_ard_3-2-1_55HCE_2021-05-30_final
2021-06-19 09:53:04	ga_s2am_ard_3-2-1_55KER_2021-06-19_final
2021-09-16 10:22:43	ga_s2am_ard_3-2-1_54KWC_2021-09-16_final
2021-09-18 11:01:14	ga_s2am_ard_3-2-1_53LKE_2021-09-18_final
2021-10-06 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2021-10-06_final
2022-05-03 10:52:43	ga_s2am_ard_3-2-1_53KMU_2022-05-03_final
2023-01-06 10:15:11	ga_s2am_ard_3-2-1_54JWN_2023-01-06_final.stac-item
2023-01-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-01-19_final.stac-item
2023-05-26 10:14:28	ga_s2am_ard_3-2-1_54JXR_2023-05-26_final.stac-item
2023-08-01 10:05:14	ga_s2am_ard_3-2-1_54JYN_2023-08-01_final.stac-item
2023-08-04 11:51:36	ga_s2am_ard_3-2-1_51LTE_2023-08-04_nrt.stac-item
2023-08-06 10:52:14	ga_s2am_ard_3-2-1_53KMA_2023-08-06_final.stac-item
2023-09-04 11:21:26	ga_s2am_ard_3-2-1_52LCK_2023-09-04_final.stac-item
2023-10-13 10:12:19	ga_s2am_ard_3-2-1_54KZD_2023-10-13_final.stac-item
2023-10-16 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-10-16_final.stac-item
2023-10-24 09:45:48	ga_s2am_ard_3-2-1_55HEE_2023-10-24_final.stac-item
2024-05-05 11:04:32	ga_s2am_ard_3-2-1_52JFS_2024-05-05_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years