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
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_54HTF_2018-10-02_final.stac-item
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53HPA_2018-10-02_final.stac-item
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53HQA_2018-10-02_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_53HPA_2018-10-05_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_54HVF_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_54HWF_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_54HXF_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_54HYF_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55HBA_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55HBV_2018-10-06_final.stac-item
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_56HKF_2018-10-07_final.stac-item
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_55HEA_2018-10-07_final.stac-item
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_55HFA_2018-10-07_final.stac-item
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_55HGA_2018-10-07_final.stac-item
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_55HGV_2018-10-07_final.stac-item
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_54HTF_2018-10-12_final.stac-item
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_53HPA_2018-10-12_final.stac-item
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_53HQA_2018-10-12_final.stac-item
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53HPA_2018-10-15_final.stac-item
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_56HKF_2018-10-17_final.stac-item
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_55HEA_2018-10-17_final.stac-item
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_55HFA_2018-10-17_final.stac-item
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_55HGA_2018-10-17_final.stac-item
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_55HGV_2018-10-17_final.stac-item
2019-08-21 10:37:01	ga_s2am_ard_3-2-1_53HPA_2019-08-21_final.stac-item
2019-08-23 09:36:42	ga_s2am_ard_3-2-1_56HKF_2019-08-23_final.stac-item
2019-08-23 09:36:44	ga_s2am_ard_3-2-1_55HGA_2019-08-23_final.stac-item
2019-08-23 09:36:48	ga_s2am_ard_3-2-1_55HFA_2019-08-23_final.stac-item
2019-08-23 09:36:52	ga_s2am_ard_3-2-1_55HEA_2019-08-23_final.stac-item
2019-08-23 09:36:58	ga_s2am_ard_3-2-1_55HGV_2019-08-23_final.stac-item
2019-08-30 09:26:45	ga_s2am_ard_3-2-1_56HKF_2019-08-29_final.stac-item
2019-08-30 09:27:02	ga_s2am_ard_3-2-1_55HGV_2019-08-29_final.stac-item
2019-09-08 09:56:44	ga_s2am_ard_3-2-1_55HDA_2019-09-08_final.stac-item
2019-09-08 09:56:48	ga_s2am_ard_3-2-1_55HCA_2019-09-08_final.stac-item
2019-09-08 09:56:51	ga_s2am_ard_3-2-1_55HBA_2019-09-08_final.stac-item
2019-09-08 09:56:52	ga_s2am_ard_3-2-1_54HYF_2019-09-08_final.stac-item
2019-09-08 09:56:56	ga_s2am_ard_3-2-1_54HXF_2019-09-08_final.stac-item
2019-09-08 09:57:05	ga_s2am_ard_3-2-1_55HBV_2019-09-08_final.stac-item
2019-09-08 09:57:07	ga_s2am_ard_3-2-1_54HYE_2019-09-08_final.stac-item
2020-02-26 09:26:39	ga_s2am_ard_3-2-1_56HKF_2020-02-25_final.stac-item
2020-02-26 09:26:56	ga_s2am_ard_3-2-1_55HGV_2020-02-25_final.stac-item
2020-02-28 10:06:41	ga_s2am_ard_3-2-1_55HBA_2020-02-28_final.stac-item
2020-02-28 10:06:45	ga_s2am_ard_3-2-1_54HYF_2020-02-28_final.stac-item
2020-02-28 10:06:49	ga_s2am_ard_3-2-1_54HXF_2020-02-28_final.stac-item
2020-02-28 10:06:51	ga_s2am_ard_3-2-1_55HBV_2020-02-28_final.stac-item
2020-02-28 10:06:52	ga_s2am_ard_3-2-1_54HWF_2020-02-28_final.stac-item
2020-02-28 10:06:56	ga_s2am_ard_3-2-1_54HVF_2020-02-28_final.stac-item
2020-03-06 09:56:44	ga_s2am_ard_3-2-1_55HCA_2020-03-06_final.stac-item
2020-03-06 09:56:48	ga_s2am_ard_3-2-1_55HBA_2020-03-06_final.stac-item
2020-03-06 09:56:49	ga_s2am_ard_3-2-1_54HYF_2020-03-06_final.stac-item
2020-03-06 09:56:53	ga_s2am_ard_3-2-1_54HXF_2020-03-06_final.stac-item
2020-03-06 09:57:02	ga_s2am_ard_3-2-1_55HBV_2020-03-06_final.stac-item
2020-03-06 09:57:04	ga_s2am_ard_3-2-1_54HYE_2020-03-06_final.stac-item
2020-03-18 10:36:55	ga_s2am_ard_3-2-1_53HPA_2020-03-18_final.stac-item
2020-03-19 10:06:42	ga_s2am_ard_3-2-1_55HBA_2020-03-19_final.stac-item
2020-03-19 10:06:46	ga_s2am_ard_3-2-1_54HYF_2020-03-19_final.stac-item
2020-03-19 10:06:50	ga_s2am_ard_3-2-1_54HXF_2020-03-19_final.stac-item
2020-03-19 10:06:52	ga_s2am_ard_3-2-1_55HBV_2020-03-19_final.stac-item
2020-03-19 10:06:53	ga_s2am_ard_3-2-1_54HWF_2020-03-19_final.stac-item
2020-03-19 10:06:57	ga_s2am_ard_3-2-1_54HVF_2020-03-19_final.stac-item
2020-03-22 10:17:15	ga_s2am_ard_3-2-1_53HQV_2020-03-22_final
2020-03-26 09:56:49	ga_s2am_ard_3-2-1_54HYF_2020-03-26_final.stac-item
2020-03-26 09:56:53	ga_s2am_ard_3-2-1_54HXF_2020-03-26_final.stac-item
2020-03-26 09:57:03	ga_s2am_ard_3-2-1_55HBV_2020-03-26_final.stac-item
2020-03-26 09:57:04	ga_s2am_ard_3-2-1_54HYE_2020-03-26_final.stac-item
2020-04-01 10:16:48	ga_s2am_ard_3-2-1_54HWF_2020-04-01_final.stac-item
2020-04-01 10:16:52	ga_s2am_ard_3-2-1_54HVF_2020-04-01_final.stac-item
2020-04-01 10:16:56	ga_s2am_ard_3-2-1_54HUF_2020-04-01_final.stac-item
2020-04-01 10:16:59	ga_s2am_ard_3-2-1_54HTF_2020-04-01_final.stac-item
2020-04-01 10:17:00	ga_s2am_ard_3-2-1_53HQA_2020-04-01_final.stac-item
2020-04-01 10:17:15	ga_s2am_ard_3-2-1_53HQV_2020-04-01_final
2020-04-06 09:26:41	ga_s2am_ard_3-2-1_56HKF_2020-04-05_final.stac-item
2020-04-06 09:26:58	ga_s2am_ard_3-2-1_55HGV_2020-04-05_final.stac-item
2022-04-06 09:26:45	ga_s2am_ard_3-2-1_56HKF_2022-04-05_final.stac-item
2022-04-06 09:27:02	ga_s2am_ard_3-2-1_55HGV_2022-04-05_final.stac-item
2022-04-07 10:36:59	ga_s2am_ard_3-2-1_53HPA_2022-04-07_final.stac-item
2022-04-08 10:06:46	ga_s2am_ard_3-2-1_55HBA_2022-04-08_final.stac-item
2022-04-08 10:06:50	ga_s2am_ard_3-2-1_54HYF_2022-04-08_final.stac-item
2022-04-08 10:06:54	ga_s2am_ard_3-2-1_54HXF_2022-04-08_final.stac-item
2022-04-08 10:06:56	ga_s2am_ard_3-2-1_55HBV_2022-04-08_final.stac-item
2022-04-08 10:06:58	ga_s2am_ard_3-2-1_54HWF_2022-04-08_final.stac-item
2022-04-08 10:07:01	ga_s2am_ard_3-2-1_54HVF_2022-04-08_final.stac-item
2022-04-14 10:27:02	ga_s2am_ard_3-2-1_54HTF_2022-04-14_final.stac-item
2022-04-14 10:27:04	ga_s2am_ard_3-2-1_53HQA_2022-04-14_final.stac-item
2022-04-14 10:27:08	ga_s2am_ard_3-2-1_53HPA_2022-04-14_final.stac-item
2022-04-14 10:27:15	ga_s2am_ard_3-2-1_54HTE_2022-04-14_final
2022-04-14 10:27:16	ga_s2am_ard_3-2-1_53HQV_2022-04-14_final
2022-04-15 09:56:48	ga_s2am_ard_3-2-1_55HDA_2022-04-15_final.stac-item
2022-04-15 09:56:52	ga_s2am_ard_3-2-1_55HCA_2022-04-15_final.stac-item
2022-04-15 09:56:55	ga_s2am_ard_3-2-1_55HBA_2022-04-15_final.stac-item
2022-04-15 09:56:56	ga_s2am_ard_3-2-1_54HYF_2022-04-15_final.stac-item
2022-04-15 09:57:00	ga_s2am_ard_3-2-1_54HXF_2022-04-15_final.stac-item
2022-04-15 09:57:10	ga_s2am_ard_3-2-1_55HBV_2022-04-15_final.stac-item
2022-04-15 09:57:11	ga_s2am_ard_3-2-1_54HYE_2022-04-15_final.stac-item
2022-04-25 09:56:50	ga_s2am_ard_3-2-1_55HDA_2022-04-25_final.stac-item
2022-04-25 09:56:54	ga_s2am_ard_3-2-1_55HCA_2022-04-25_final.stac-item
2022-04-25 09:56:57	ga_s2am_ard_3-2-1_55HBA_2022-04-25_final.stac-item
2022-04-25 09:56:58	ga_s2am_ard_3-2-1_54HYF_2022-04-25_final.stac-item
2022-04-25 09:57:02	ga_s2am_ard_3-2-1_54HXF_2022-04-25_final.stac-item
2022-04-25 09:57:11	ga_s2am_ard_3-2-1_55HBV_2022-04-25_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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