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
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNG_2016-05-29_final
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HLG_2016-05-29_final
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPG_2016-05-29_final
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMG_2016-05-29_final
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HCB_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HDB_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HEB_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HFB_2016-06-02_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMG_2016-06-11_final
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HLG_2016-06-11_final
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HCB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HDB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HEB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HFB_2016-06-12_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_54HXG_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_54HYF_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_54HYG_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55HBA_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55HBB_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55HCB_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55HDB_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56HKG_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56HLG_2016-06-15_final
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53HMB_2016-06-17_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HCB_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HDB_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HEB_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HFB_2016-06-22_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLG_2016-07-01_final
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMG_2016-07-01_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55HDB_2017-05-08_final.stac-item
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55HEB_2017-05-08_final.stac-item
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55HFB_2017-05-08_final.stac-item
2017-05-10 10:26:40	ga_s2am_ard_3-2-1_54HTG_2017-05-10_final.stac-item
2017-05-10 10:26:40	ga_s2am_ard_3-2-1_54HUG_2017-05-10_final.stac-item
2017-05-10 10:26:40	ga_s2am_ard_3-2-1_53HPB_2017-05-10_final.stac-item
2017-05-14 10:06:44	ga_s2am_ard_3-2-1_54HVG_2017-05-14_final.stac-item
2017-05-14 10:06:44	ga_s2am_ard_3-2-1_54HWG_2017-05-14_final.stac-item
2017-05-14 10:06:44	ga_s2am_ard_3-2-1_54HXG_2017-05-14_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56HKF_2017-05-15_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56HKG_2017-05-15_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_55HFB_2017-05-15_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_55HGA_2017-05-15_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_55HGB_2017-05-15_final.stac-item
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_56HKF_2017-05-25_final.stac-item
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_56HKG_2017-05-25_final.stac-item
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_55HFB_2017-05-25_final.stac-item
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_55HGA_2017-05-25_final.stac-item
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_55HGB_2017-05-25_final.stac-item
2017-06-03 10:06:43	ga_s2am_ard_3-2-1_54HVG_2017-06-03_final.stac-item
2017-06-03 10:06:43	ga_s2am_ard_3-2-1_54HWG_2017-06-03_final.stac-item
2017-06-03 10:06:43	ga_s2am_ard_3-2-1_54HXG_2017-06-03_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54HTF_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54HTG_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54HUG_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HNB_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HPB_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HQA_2017-06-09_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HQB_2017-06-09_final.stac-item
2019-07-13 10:06:38	ga_s2am_ard_3-2-1_55HBB_2019-07-13_final.stac-item
2019-07-13 10:06:40	ga_s2am_ard_3-2-1_54HYG_2019-07-13_final.stac-item
2019-07-13 10:06:44	ga_s2am_ard_3-2-1_54HXG_2019-07-13_final.stac-item
2019-07-13 10:06:48	ga_s2am_ard_3-2-1_54HWG_2019-07-13_final.stac-item
2019-07-13 10:06:51	ga_s2am_ard_3-2-1_55HBA_2019-07-13_final.stac-item
2019-07-13 10:06:51	ga_s2am_ard_3-2-1_54HVG_2019-07-13_final.stac-item
2019-07-13 10:06:55	ga_s2am_ard_3-2-1_54HYF_2019-07-13_final.stac-item
2019-07-22 10:36:51	ga_s2am_ard_3-2-1_53HPB_2019-07-22_final.stac-item
2019-07-22 10:36:55	ga_s2am_ard_3-2-1_53HNB_2019-07-22_final.stac-item
2019-07-24 09:36:31	ga_s2am_ard_3-2-1_56HKG_2019-07-24_final.stac-item
2019-07-24 09:36:32	ga_s2am_ard_3-2-1_55HGB_2019-07-24_final.stac-item
2019-07-24 09:36:36	ga_s2am_ard_3-2-1_55HFB_2019-07-24_final.stac-item
2019-07-24 09:36:45	ga_s2am_ard_3-2-1_56HKF_2019-07-24_final.stac-item
2019-07-24 09:36:47	ga_s2am_ard_3-2-1_55HGA_2019-07-24_final.stac-item
2019-08-11 10:36:50	ga_s2am_ard_3-2-1_53HPB_2019-08-11_final.stac-item
2019-08-11 10:36:54	ga_s2am_ard_3-2-1_53HNB_2019-08-11_final.stac-item
2023-01-11 09:26:42	ga_s2am_ard_3-2-1_56HKF_2023-01-10_final.stac-item
2023-01-12 10:36:44	ga_s2am_ard_3-2-1_53HPB_2023-01-12_final.stac-item
2023-01-12 10:36:48	ga_s2am_ard_3-2-1_53HNB_2023-01-12_final.stac-item
2023-01-12 10:36:55	ga_s2am_ard_3-2-1_53HLB_2023-01-12_nrt.stac-item
2023-01-14 09:36:20	ga_s2am_ard_3-2-1_56HLG_2023-01-14_final
2023-01-14 09:36:23	ga_s2am_ard_3-2-1_56HKG_2023-01-14_final.stac-item
2023-01-14 09:36:25	ga_s2am_ard_3-2-1_55HGB_2023-01-14_final.stac-item
2023-01-14 09:36:29	ga_s2am_ard_3-2-1_55HFB_2023-01-14_final.stac-item
2023-01-14 09:36:38	ga_s2am_ard_3-2-1_56HKF_2023-01-14_final.stac-item
2023-01-14 09:36:39	ga_s2am_ard_3-2-1_55HGA_2023-01-14_final.stac-item
2023-01-14 11:17:00	ga_s2am_ard_3-2-1_52HBG_2023-01-14_nrt.stac-item
2023-01-14 11:17:01	ga_s2am_ard_3-2-1_51HYB_2023-01-14_nrt.stac-item
2023-01-16 10:16:35	ga_s2am_ard_3-2-1_54HWG_2023-01-16_final.stac-item
2023-01-16 10:16:39	ga_s2am_ard_3-2-1_54HVG_2023-01-16_final.stac-item
2023-01-16 10:16:42	ga_s2am_ard_3-2-1_54HUG_2023-01-16_final.stac-item
2023-01-16 10:16:45	ga_s2am_ard_3-2-1_54HTG_2023-01-16_final.stac-item
2023-01-16 10:16:48	ga_s2am_ard_3-2-1_53HQB_2023-01-16_final.stac-item
2023-01-16 10:17:00	ga_s2am_ard_3-2-1_54HTF_2023-01-16_final.stac-item
2023-01-16 10:17:01	ga_s2am_ard_3-2-1_53HQA_2023-01-16_final.stac-item
2023-01-19 10:26:35	ga_s2am_ard_3-2-1_54HUG_2023-01-19_final.stac-item
2023-01-19 10:26:40	ga_s2am_ard_3-2-1_54HTG_2023-01-19_final.stac-item
2023-01-19 10:26:41	ga_s2am_ard_3-2-1_53HQB_2023-01-19_final.stac-item
2023-01-19 10:26:45	ga_s2am_ard_3-2-1_53HPB_2023-01-19_final.stac-item
2023-01-19 10:26:49	ga_s2am_ard_3-2-1_53HNB_2023-01-19_final.stac-item
2023-01-19 10:26:54	ga_s2am_ard_3-2-1_54HTF_2023-01-19_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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