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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

49 results

Time (local)	Label
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53JNH_2015-10-21_final.stac-item
2015-11-28 09:47:27	ga_s2am_ard_3-2-1_55JDM_2015-11-28_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVS_2016-05-16_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_52KDD_2016-08-08_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53JLH_2016-10-28_final.stac-item
2016-12-11 10:25:20	ga_s2am_ard_3-2-1_54HTK_2016-12-11_final
2016-12-11 10:25:20	ga_s2am_ard_3-2-1_54HTJ_2016-12-11_final
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55HED_2017-01-28_final
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_52KCB_2017-03-16_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JLF_2017-05-26_final
2018-02-10 10:43:02	ga_s2am_ard_3-2-1_53JLH_2018-02-10_final
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_54KTV_2018-03-29_final
2018-09-02 10:17:04	ga_s2am_ard_3-2-1_54JUS_2018-09-02_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JMN_2018-09-19_final
2018-12-25 10:06:02	ga_s2am_ard_3-2-1_54HXJ_2018-12-25_final
2019-02-22 10:31:56	ga_s2am_ard_3-2-1_54KUF_2019-02-22_final
2019-04-13 10:33:33	ga_s2am_ard_3-2-1_54KTV_2019-04-13_final
2019-05-17 10:13:27	ga_s2am_ard_3-2-1_54KYV_2019-05-17_final
2019-06-11 11:03:05	ga_s2am_ard_3-2-1_52KFC_2019-06-11_final
2019-07-01 11:00:30	ga_s2am_ard_3-2-1_53LLH_2019-07-01_final.stac-item
2019-07-01 11:00:45	ga_s2am_ard_3-2-1_53LLG_2019-07-01_final
2019-07-08 10:53:18	ga_s2am_ard_3-2-1_53KKS_2019-07-08_final
2019-07-10 09:56:39	ga_s2am_ard_3-2-1_55HCB_2019-07-10_final
2019-09-13 10:45:24	ga_s2am_ard_3-2-1_53JLH_2019-09-13_final
2019-09-15 11:25:41	ga_s2am_ard_3-2-1_51JWH_2019-09-15_final
2019-10-11 11:43:21	ga_s2am_ard_3-2-1_50KRC_2019-10-11_final
2020-01-21 10:44:47	ga_s2am_ard_3-2-1_53JMK_2020-01-21_final
2020-03-26 09:56:16	ga_s2am_ard_3-2-1_55HCC_2020-03-26_final
2020-04-17 10:32:48	ga_s2am_ard_3-2-1_53KRT_2020-04-17_final
2020-06-05 11:04:21	ga_s2am_ard_3-2-1_52JFT_2020-06-05_final
2020-10-18 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-10-18_final
2021-04-19 12:04:52	ga_s2am_ard_3-2-1_50JKS_2021-04-19_final
2021-04-23 11:41:54	ga_s2am_ard_3-2-1_51LVC_2021-04-23_final
2021-04-30 09:56:35	ga_s2am_ard_3-2-1_55HBB_2021-04-30_final
2021-06-26 09:45:35	ga_s2am_ard_3-2-1_55JEF_2021-06-26_final
2021-06-27 10:54:28	ga_s2am_ard_3-2-1_53JKM_2021-06-27_final
2021-08-02 09:32:58	ga_s2am_ard_3-2-1_56KMA_2021-08-02_final
2021-08-14 10:13:26	ga_s2am_ard_3-2-1_54KYV_2021-08-14_final
2022-07-14 09:55:45	ga_s2am_ard_3-2-1_55JDF_2022-07-14_final
2022-08-06 11:43:44	ga_s2am_ard_3-2-1_51KTS_2022-08-06_final
2022-08-14 11:01:55	ga_s2am_ard_3-2-1_52LHH_2022-08-14_final
2023-05-27 11:22:12	ga_s2am_ard_3-2-1_51KZB_2023-05-27_final.stac-item
2023-05-30 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-05-30_final.stac-item
2023-07-23 11:14:54	ga_s2am_ard_3-2-1_52JCR_2023-07-23_final.stac-item
2023-08-11 10:03:54	ga_s2am_ard_3-2-1_55JCN_2023-08-11_final.stac-item
2023-08-29 11:05:36	ga_s2am_ard_3-2-1_52JEN_2023-08-29_final.stac-item
2023-10-20 11:43:15	ga_s2am_ard_3-2-1_51KUT_2023-10-20_final.stac-item
2024-04-11 09:43:56	ga_s2am_ard_3-2-1_56JKS_2024-04-11_final.stac-item
2024-05-12 10:51:58	ga_s2am_ard_3-2-1_53KMB_2024-05-12_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