Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLK_2017-12-23_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMK_2017-12-23_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JLL_2017-12-23_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JML_2017-12-23_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JNL_2017-12-23_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HNK_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HPK_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HQK_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JML_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JNL_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPL_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQL_2017-12-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLK_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMK_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLL_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JML_2018-01-12_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JNL_2018-01-12_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HUE_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HVE_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HWE_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HXE_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51JUF_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51JVF_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51JWF_2018-01-13_final.stac-item
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51JXF_2018-01-13_final.stac-item
2019-06-23 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-06-23_final.stac-item
2019-06-23 11:46:27	ga_s2am_ard_3-2-1_50JNL_2019-06-23_final.stac-item
2019-06-23 11:46:38	ga_s2am_ard_3-2-1_50HPK_2019-06-23_final.stac-item
2019-06-24 09:35:25	ga_s2am_ard_3-2-1_56JML_2019-06-24_final.stac-item
2019-06-24 09:35:28	ga_s2am_ard_3-2-1_56JLL_2019-06-24_final.stac-item
2019-06-24 09:35:32	ga_s2am_ard_3-2-1_56JKL_2019-06-24_final.stac-item
2019-06-24 09:35:34	ga_s2am_ard_3-2-1_55JGF_2019-06-24_final.stac-item
2019-06-24 09:35:39	ga_s2am_ard_3-2-1_56HMK_2019-06-24_final.stac-item
2019-06-24 09:35:43	ga_s2am_ard_3-2-1_56HLK_2019-06-24_final.stac-item
2019-06-24 09:35:46	ga_s2am_ard_3-2-1_56HKK_2019-06-24_final.stac-item
2019-06-24 09:35:49	ga_s2am_ard_3-2-1_55HGE_2019-06-24_final.stac-item
2019-06-25 10:45:55	ga_s2am_ard_3-2-1_53JMF_2019-06-25_final.stac-item
2019-06-25 10:45:59	ga_s2am_ard_3-2-1_53JLF_2019-06-25_final.stac-item
2019-06-25 10:46:02	ga_s2am_ard_3-2-1_53JKF_2019-06-25_final.stac-item
2019-06-25 10:46:04	ga_s2am_ard_3-2-1_52JGL_2019-06-25_final.stac-item
2019-06-25 10:46:10	ga_s2am_ard_3-2-1_53HME_2019-06-25_final.stac-item
2019-06-25 10:46:14	ga_s2am_ard_3-2-1_53HLE_2019-06-25_final.stac-item
2019-07-05 10:45:56	ga_s2am_ard_3-2-1_53JMF_2019-07-05_final.stac-item
2019-07-05 10:46:00	ga_s2am_ard_3-2-1_53JLF_2019-07-05_final.stac-item
2019-07-05 10:46:03	ga_s2am_ard_3-2-1_53JKF_2019-07-05_final.stac-item
2019-07-05 10:46:05	ga_s2am_ard_3-2-1_52JGL_2019-07-05_final.stac-item
2019-07-05 10:46:11	ga_s2am_ard_3-2-1_53HME_2019-07-05_final.stac-item
2019-07-05 10:46:14	ga_s2am_ard_3-2-1_53HLE_2019-07-05_final.stac-item
2019-07-10 09:55:52	ga_s2am_ard_3-2-1_55HDE_2019-07-10_final.stac-item
2019-07-10 09:55:55	ga_s2am_ard_3-2-1_55HCE_2019-07-10_final.stac-item
2019-07-10 09:55:59	ga_s2am_ard_3-2-1_55HBE_2019-07-10_final.stac-item
2019-07-10 09:56:02	ga_s2am_ard_3-2-1_54HYK_2019-07-10_final.stac-item
2019-07-11 09:25:27	ga_s2am_ard_3-2-1_56JNL_2019-07-10_final.stac-item
2019-07-11 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-10_final.stac-item
2019-07-11 09:25:35	ga_s2am_ard_3-2-1_56JLL_2019-07-10_final.stac-item
2019-07-11 09:25:45	ga_s2am_ard_3-2-1_56HMK_2019-07-10_final.stac-item
2019-07-11 09:25:48	ga_s2am_ard_3-2-1_56HLK_2019-07-10_final.stac-item
2019-07-14 09:35:26	ga_s2am_ard_3-2-1_56JML_2019-07-14_final.stac-item
2019-07-14 09:35:29	ga_s2am_ard_3-2-1_56JLL_2019-07-14_final.stac-item
2019-07-14 09:35:33	ga_s2am_ard_3-2-1_56JKL_2019-07-14_final.stac-item
2019-07-14 09:35:35	ga_s2am_ard_3-2-1_55JGF_2019-07-14_final.stac-item
2019-07-17 11:26:37	ga_s2am_ard_3-2-1_51HUE_2019-07-17_final.stac-item
2021-10-02 10:45:56	ga_s2am_ard_3-2-1_53JMF_2021-10-02_final.stac-item
2021-10-02 10:45:59	ga_s2am_ard_3-2-1_53JLF_2021-10-02_final.stac-item
2021-10-02 10:46:03	ga_s2am_ard_3-2-1_53JKF_2021-10-02_final.stac-item
2021-10-02 10:46:05	ga_s2am_ard_3-2-1_52JGL_2021-10-02_final.stac-item
2021-10-02 10:46:10	ga_s2am_ard_3-2-1_53HME_2021-10-02_final.stac-item
2021-10-02 10:46:14	ga_s2am_ard_3-2-1_53HLE_2021-10-02_final.stac-item
2021-10-02 10:46:17	ga_s2am_ard_3-2-1_53HKE_2021-10-02_final
2021-10-02 10:46:19	ga_s2am_ard_3-2-1_52HGK_2021-10-02_final
2021-10-11 09:35:26	ga_s2am_ard_3-2-1_56JML_2021-10-11_final.stac-item
2021-10-11 09:35:30	ga_s2am_ard_3-2-1_56JLL_2021-10-11_final.stac-item
2021-10-11 09:35:33	ga_s2am_ard_3-2-1_56JKL_2021-10-11_final.stac-item
2021-10-11 09:35:35	ga_s2am_ard_3-2-1_55JGF_2021-10-11_final.stac-item
2021-10-11 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-11_final.stac-item
2021-10-11 09:35:44	ga_s2am_ard_3-2-1_56HLK_2021-10-11_final.stac-item
2021-10-11 09:35:47	ga_s2am_ard_3-2-1_56HKK_2021-10-11_final.stac-item
2021-10-11 09:35:50	ga_s2am_ard_3-2-1_55HGE_2021-10-11_final.stac-item
2021-10-11 11:16:07	ga_s2am_ard_3-2-1_52JCL_2021-10-11_final.stac-item
2021-10-11 11:16:11	ga_s2am_ard_3-2-1_52JBL_2021-10-11_final.stac-item
2021-10-11 11:16:13	ga_s2am_ard_3-2-1_51JYF_2021-10-11_final.stac-item
2021-10-11 11:16:17	ga_s2am_ard_3-2-1_51JXF_2021-10-11_final.stac-item
2021-10-11 11:16:21	ga_s2am_ard_3-2-1_52HCK_2021-10-11_final
2021-10-11 11:16:25	ga_s2am_ard_3-2-1_51JWF_2021-10-11_final.stac-item
2021-10-11 11:16:25	ga_s2am_ard_3-2-1_52HBK_2021-10-11_final.stac-item
2021-10-11 11:16:28	ga_s2am_ard_3-2-1_51HYE_2021-10-11_final.stac-item
2021-10-11 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-11_final.stac-item
2021-10-11 11:16:36	ga_s2am_ard_3-2-1_51HWE_2021-10-11_final.stac-item
2021-10-18 09:25:27	ga_s2am_ard_3-2-1_56JNL_2021-10-17_final.stac-item
2021-10-18 09:25:30	ga_s2am_ard_3-2-1_56JML_2021-10-17_final.stac-item
2021-10-18 09:25:35	ga_s2am_ard_3-2-1_56JLL_2021-10-17_final.stac-item
2021-10-18 09:25:45	ga_s2am_ard_3-2-1_56HMK_2021-10-17_final.stac-item
2021-10-18 09:25:48	ga_s2am_ard_3-2-1_56HLK_2021-10-17_final.stac-item
2021-10-21 09:35:26	ga_s2am_ard_3-2-1_56JML_2021-10-21_final.stac-item
2021-10-21 09:35:30	ga_s2am_ard_3-2-1_56JLL_2021-10-21_final.stac-item
2021-10-21 09:35:33	ga_s2am_ard_3-2-1_56JKL_2021-10-21_final.stac-item
2021-10-21 09:35:35	ga_s2am_ard_3-2-1_55JGF_2021-10-21_final.stac-item
2021-10-21 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-21_final.stac-item
2021-10-21 09:35:44	ga_s2am_ard_3-2-1_56HLK_2021-10-21_final.stac-item
2021-10-21 09:35:47	ga_s2am_ard_3-2-1_56HKK_2021-10-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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