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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HNK_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JKM_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JML_2016-03-03_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNJ_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNK_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPK_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JML_2016-03-20_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50HNK_2016-05-02_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50JML_2016-05-02_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLH_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNH_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNJ_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGH_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGJ_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPK_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGM_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHR_2016-05-18_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HNK_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JKM_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JML_2016-05-22_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HLH_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNH_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNJ_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLH_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLJ_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLR_2016-07-01_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HLH_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNH_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNJ_2016-07-08_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGH_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGJ_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGP_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHR_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKM_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKR_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKS_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JLN_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JLR_2016-07-14_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HNK_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKM_2016-07-21_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_49KHR_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JGM_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKR_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKS_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JLR_2016-07-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HLH_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNH_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNJ_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNK_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPK_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JML_2016-07-28_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HNK_2016-07-31_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JKM_2016-07-31_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JML_2016-07-31_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGH_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGJ_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KGP_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHR_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKR_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKS_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLN_2016-08-03_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLR_2016-08-03_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-08-06_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-08-06_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-08-06_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HNK_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JML_2016-08-10_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-08-13_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-08-16_final.stac-item
2016-08-16 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-08-16_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KGP_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KGQ_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHR_2016-08-23_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGM_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-08-26_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLR_2016-08-30_final.stac-item
2022-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2022-12-21_final.stac-item
2022-12-23 12:13:52	ga_s2am_ard_3-2-1_49KHR_2022-12-23_final.stac-item
2022-12-23 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-23_final.stac-item
2022-12-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2022-12-23_final.stac-item
2022-12-23 12:14:54	ga_s2am_ard_3-2-1_49JGM_2022-12-23_final.stac-item
2022-12-24 11:46:24	ga_s2am_ard_3-2-1_50JML_2022-12-24_final.stac-item
2022-12-24 11:46:35	ga_s2am_ard_3-2-1_50HNK_2022-12-24_final.stac-item
2022-12-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2022-12-24_final.stac-item
2022-12-24 11:47:04	ga_s2am_ard_3-2-1_50HNH_2022-12-24_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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