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
2020-03-10 11:16:16	ga_s2am_ard_3-2-1_52HBK_2020-03-10_final.stac-item
2020-03-12 11:55:17	ga_s2am_ard_3-2-1_50JNQ_2020-03-12_final.stac-item
2020-03-13 11:25:30	ga_s2am_ard_3-2-1_51JYH_2020-03-13_final.stac-item
2020-03-13 11:26:25	ga_s2am_ard_3-2-1_51HVE_2020-03-13_final.stac-item
2020-03-18 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-03-18_final.stac-item
2020-03-19 11:45:00	ga_s2am_ard_3-2-1_50JQR_2020-03-19_final.stac-item
2020-03-19 11:46:15	ga_s2am_ard_3-2-1_50JPL_2020-03-19_final.stac-item
2020-03-19 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-03-19_final.stac-item
2020-03-23 11:25:41	ga_s2am_ard_3-2-1_51JYG_2020-03-23_final.stac-item
2020-03-27 11:06:05	ga_s2am_ard_3-2-1_52JDL_2020-03-27_final.stac-item
2020-03-29 11:46:15	ga_s2am_ard_3-2-1_50JPL_2020-03-29_final.stac-item
2020-04-02 11:25:01	ga_s2am_ard_3-2-1_51JYK_2020-04-02_final.stac-item
2020-04-02 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2020-04-02_final.stac-item
2020-04-04 12:03:55	ga_s2am_ard_3-2-1_50KKA_2020-04-04_final.stac-item
2020-04-04 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-04-04_final.stac-item
2020-04-04 12:04:03	ga_s2am_ard_3-2-1_50KKA_2020-04-04_final.stac-item
2020-04-04 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2020-04-04_final.stac-item
2020-04-04 12:04:10	ga_s2am_ard_3-2-1_50KKV_2020-04-04_final.stac-item
2020-04-04 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-04-04_final.stac-item
2020-04-04 12:04:24	ga_s2am_ard_3-2-1_50KKU_2020-04-04_final.stac-item
2020-04-04 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-04-04_final.stac-item
2020-04-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-04-04_final.stac-item
2020-04-04 12:04:39	ga_s2am_ard_3-2-1_50JKT_2020-04-04_final.stac-item
2020-04-06 11:04:29	ga_s2am_ard_3-2-1_52JES_2020-04-06_final.stac-item
2020-04-06 11:04:44	ga_s2am_ard_3-2-1_52JER_2020-04-06_final.stac-item
2020-04-06 11:04:47	ga_s2am_ard_3-2-1_52JDR_2020-04-06_final.stac-item
2020-04-06 11:05:31	ga_s2am_ard_3-2-1_52JDN_2020-04-06_final.stac-item
2020-04-07 12:13:51	ga_s2am_ard_3-2-1_50KKA_2020-04-07_final.stac-item
2020-04-07 12:13:52	ga_s2am_ard_3-2-1_49KHR_2020-04-07_final.stac-item
2020-04-07 12:14:05	ga_s2am_ard_3-2-1_50KKV_2020-04-07_final.stac-item
2020-04-07 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2020-04-07_final.stac-item
2020-04-07 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-04-07_final.stac-item
2020-04-07 12:14:28	ga_s2am_ard_3-2-1_49JHN_2020-04-07_final.stac-item
2020-04-07 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-04-07_final.stac-item
2020-04-09 11:14:44	ga_s2am_ard_3-2-1_52JDR_2020-04-09_final.stac-item
2020-04-09 11:15:08	ga_s2am_ard_3-2-1_51JYK_2020-04-09_final.stac-item
2020-04-09 11:15:22	ga_s2am_ard_3-2-1_51JYJ_2020-04-09_final.stac-item
2020-04-09 11:15:27	ga_s2am_ard_3-2-1_51JXJ_2020-04-09_final.stac-item
2020-04-09 11:15:37	ga_s2am_ard_3-2-1_51JYH_2020-04-09_final.stac-item
2020-04-12 11:25:04	ga_s2am_ard_3-2-1_51JYK_2020-04-12_final.stac-item
2020-04-12 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2020-04-12_final.stac-item
2020-04-12 11:25:33	ga_s2am_ard_3-2-1_51JYH_2020-04-12_final.stac-item
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_50KKA_2020-04-14_final.stac-item
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_49KHR_2020-04-14_final.stac-item
2020-04-14 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-04-14_final.stac-item
2020-04-14 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-04-14_final.stac-item
2020-04-14 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-04-14_final.stac-item
2020-04-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-04-14_final.stac-item
2020-04-14 12:04:42	ga_s2am_ard_3-2-1_50JKT_2020-04-14_final.stac-item
2020-04-16 11:04:32	ga_s2am_ard_3-2-1_52JES_2020-04-16_final.stac-item
2020-04-16 11:04:47	ga_s2am_ard_3-2-1_52JER_2020-04-16_final.stac-item
2020-04-16 11:04:50	ga_s2am_ard_3-2-1_52JDR_2020-04-16_final.stac-item
2020-04-16 11:05:34	ga_s2am_ard_3-2-1_52JDN_2020-04-16_final.stac-item
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_50KKA_2020-04-17_final.stac-item
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-04-17_final.stac-item
2020-04-17 12:14:07	ga_s2am_ard_3-2-1_50KKV_2020-04-17_final.stac-item
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final.stac-item
2020-04-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2020-04-17_final.stac-item
2020-04-17 12:14:19	ga_s2am_ard_3-2-1_50KKU_2020-04-17_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final.stac-item
2020-04-17 12:14:31	ga_s2am_ard_3-2-1_49JHN_2020-04-17_final.stac-item
2020-04-17 12:14:45	ga_s2am_ard_3-2-1_49JFN_2020-04-17_final.stac-item
2020-04-19 11:14:35	ga_s2am_ard_3-2-1_52JCS_2020-04-19_final.stac-item
2020-04-19 11:15:11	ga_s2am_ard_3-2-1_51JYK_2020-04-19_final.stac-item
2020-04-19 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2020-04-19_final.stac-item
2020-04-19 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2020-04-19_final.stac-item
2020-04-19 11:15:39	ga_s2am_ard_3-2-1_51JYH_2020-04-19_final.stac-item
2020-04-22 11:25:07	ga_s2am_ard_3-2-1_51JYK_2020-04-22_final.stac-item
2020-04-22 11:25:35	ga_s2am_ard_3-2-1_51JYH_2020-04-22_final.stac-item
2020-04-22 11:25:46	ga_s2am_ard_3-2-1_51JYG_2020-04-22_final.stac-item
2020-04-23 10:55:41	ga_s2am_ard_3-2-1_52JFM_2020-04-23_final.stac-item
2020-04-24 12:04:00	ga_s2am_ard_3-2-1_50KKA_2020-04-24_final.stac-item
2020-04-24 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-04-24_final.stac-item
2020-04-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2020-04-24_final.stac-item
2020-04-24 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-04-24_final.stac-item
2020-04-24 12:04:08	ga_s2am_ard_3-2-1_50KKV_2020-04-24_final.stac-item
2020-04-24 12:04:15	ga_s2am_ard_3-2-1_50KKV_2020-04-24_final.stac-item
2020-04-24 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2020-04-24_final.stac-item
2020-04-24 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2020-04-24_final.stac-item
2020-04-24 12:04:29	ga_s2am_ard_3-2-1_50KKU_2020-04-24_final.stac-item
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final.stac-item
2020-04-24 12:04:44	ga_s2am_ard_3-2-1_49JHN_2020-04-24_final.stac-item
2020-04-24 12:04:44	ga_s2am_ard_3-2-1_50JKT_2020-04-24_final.stac-item
2020-04-26 11:04:34	ga_s2am_ard_3-2-1_52JES_2020-04-26_final.stac-item
2020-04-26 11:04:49	ga_s2am_ard_3-2-1_52JER_2020-04-26_final.stac-item
2020-04-26 11:04:52	ga_s2am_ard_3-2-1_52JDR_2020-04-26_final.stac-item
2020-04-26 11:05:00	ga_s2am_ard_3-2-1_52JFQ_2020-04-26_final.stac-item
2020-04-26 11:05:36	ga_s2am_ard_3-2-1_52JDN_2020-04-26_final.stac-item
2020-04-27 12:13:57	ga_s2am_ard_3-2-1_49KHR_2020-04-27_final.stac-item
2020-04-27 12:14:10	ga_s2am_ard_3-2-1_50KKV_2020-04-27_final.stac-item
2020-04-27 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2020-04-27_final.stac-item
2020-04-27 12:14:21	ga_s2am_ard_3-2-1_50KKU_2020-04-27_final.stac-item
2020-04-27 12:14:29	ga_s2am_ard_3-2-1_49KGP_2020-04-27_final.stac-item
2020-04-27 12:14:33	ga_s2am_ard_3-2-1_49JHN_2020-04-27_final.stac-item
2020-04-27 12:14:48	ga_s2am_ard_3-2-1_49JFN_2020-04-27_final.stac-item
2020-04-29 11:14:37	ga_s2am_ard_3-2-1_52JCS_2020-04-29_final.stac-item
2020-04-29 11:14:49	ga_s2am_ard_3-2-1_52JDR_2020-04-29_final.stac-item
2020-04-29 11:15:13	ga_s2am_ard_3-2-1_51JYK_2020-04-29_final.stac-item
2020-04-29 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2020-04-29_final.stac-item
2020-04-29 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2020-04-29_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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