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
2015-12-07 10:18:32	ga_s2am_ard_3-2-1_54KVD_2015-12-07_final.stac-item
2015-12-07 10:18:32	ga_s2am_ard_3-2-1_54KVE_2015-12-07_final.stac-item
2015-12-07 10:18:32	ga_s2am_ard_3-2-1_54KVF_2015-12-07_final.stac-item
2015-12-07 10:18:32	ga_s2am_ard_3-2-1_54KVG_2015-12-07_final.stac-item
2015-12-07 10:18:32	ga_s2am_ard_3-2-1_54KWD_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KVA_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KVB_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KVC_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KVD_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KWA_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KWB_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_54KWC_2015-12-07_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54HVH_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54HVJ_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54HWH_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54HWJ_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVN_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVP_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVQ_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVR_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVS_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JVT_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWN_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWP_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWQ_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWR_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWS_2015-12-24_final.stac-item
2015-12-24 10:16:22	ga_s2am_ard_3-2-1_54JWT_2015-12-24_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HVF_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HVG_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HVH_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HVJ_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HVK_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HWF_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HWG_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HWH_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HWJ_2016-01-03_final.stac-item
2016-01-03 10:16:58	ga_s2am_ard_3-2-1_54HWK_2016-01-03_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JVQ_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JVR_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JWR_2016-01-06_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVD_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVE_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVF_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVG_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVH_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWC_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWD_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWE_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWF_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWG_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HWH_2016-01-10_final.stac-item
2016-01-10 10:08:08	ga_s2am_ard_3-2-1_54HVC_2016-01-10_final
2016-01-26 10:22:22	ga_s2am_ard_3-2-1_54KVD_2016-01-26_final.stac-item
2016-01-26 10:22:22	ga_s2am_ard_3-2-1_54KVE_2016-01-26_final.stac-item
2016-01-26 10:22:22	ga_s2am_ard_3-2-1_54KWD_2016-01-26_final.stac-item
2016-01-26 10:22:22	ga_s2am_ard_3-2-1_54KWE_2016-01-26_final.stac-item
2016-01-26 10:22:36	ga_s2am_ard_3-2-1_54KVC_2016-01-26_final.stac-item
2016-01-26 10:22:36	ga_s2am_ard_3-2-1_54KVD_2016-01-26_final.stac-item
2016-01-26 10:22:36	ga_s2am_ard_3-2-1_54KWC_2016-01-26_final.stac-item
2016-01-26 10:22:36	ga_s2am_ard_3-2-1_54KWD_2016-01-26_final.stac-item
2019-06-26 10:15:45	ga_s2am_ard_3-2-1_54JWL_2019-06-26_final.stac-item
2019-06-26 10:15:49	ga_s2am_ard_3-2-1_54JVL_2019-06-26_final.stac-item
2019-06-26 10:15:59	ga_s2am_ard_3-2-1_54HWK_2019-06-26_final.stac-item
2019-06-26 10:16:03	ga_s2am_ard_3-2-1_54HVK_2019-06-26_final.stac-item
2019-06-26 10:16:14	ga_s2am_ard_3-2-1_54HWJ_2019-06-26_final.stac-item
2019-06-26 10:16:18	ga_s2am_ard_3-2-1_54HVJ_2019-06-26_final.stac-item
2019-06-26 10:16:28	ga_s2am_ard_3-2-1_54HWH_2019-06-26_final.stac-item
2019-06-26 10:16:32	ga_s2am_ard_3-2-1_54HVH_2019-06-26_final.stac-item
2019-06-26 10:16:43	ga_s2am_ard_3-2-1_54HWG_2019-06-26_final.stac-item
2019-06-26 10:16:47	ga_s2am_ard_3-2-1_54HVG_2019-06-26_final.stac-item
2019-06-26 10:16:57	ga_s2am_ard_3-2-1_54HWF_2019-06-26_final.stac-item
2019-06-26 10:17:01	ga_s2am_ard_3-2-1_54HVF_2019-06-26_final.stac-item
2019-06-26 10:17:08	ga_s2am_ard_3-2-1_54HWE_2019-06-26_final.stac-item
2019-06-26 10:17:15	ga_s2am_ard_3-2-1_54HVE_2019-06-26_final.stac-item
2019-07-03 10:06:33	ga_s2am_ard_3-2-1_54HWH_2019-07-03_final.stac-item
2019-07-03 10:06:39	ga_s2am_ard_3-2-1_54HVH_2019-07-03_final.stac-item
2019-07-03 10:06:47	ga_s2am_ard_3-2-1_54HWG_2019-07-03_final.stac-item
2019-07-03 10:06:51	ga_s2am_ard_3-2-1_54HVG_2019-07-03_final.stac-item
2019-07-03 10:07:02	ga_s2am_ard_3-2-1_54HWF_2019-07-03_final.stac-item
2019-07-03 10:07:05	ga_s2am_ard_3-2-1_54HVF_2019-07-03_final.stac-item
2019-07-03 10:07:16	ga_s2am_ard_3-2-1_54HWE_2019-07-03_final.stac-item
2019-07-03 10:07:20	ga_s2am_ard_3-2-1_54HVE_2019-07-03_final.stac-item
2019-07-03 10:07:31	ga_s2am_ard_3-2-1_54HWD_2019-07-03_final.stac-item
2019-07-03 10:07:35	ga_s2am_ard_3-2-1_54HVD_2019-07-03_final.stac-item
2019-07-03 10:07:45	ga_s2am_ard_3-2-1_54HWC_2019-07-03_final.stac-item
2019-07-16 10:15:35	ga_s2am_ard_3-2-1_54JVM_2019-07-16_final.stac-item
2019-07-16 10:15:46	ga_s2am_ard_3-2-1_54JWL_2019-07-16_final.stac-item
2019-07-16 10:15:49	ga_s2am_ard_3-2-1_54JVL_2019-07-16_final.stac-item
2019-07-16 10:16:00	ga_s2am_ard_3-2-1_54HWK_2019-07-16_final.stac-item
2019-07-16 10:16:04	ga_s2am_ard_3-2-1_54HVK_2019-07-16_final.stac-item
2019-07-16 10:16:14	ga_s2am_ard_3-2-1_54HWJ_2019-07-16_final.stac-item
2019-07-16 10:16:18	ga_s2am_ard_3-2-1_54HVJ_2019-07-16_final.stac-item
2019-07-16 10:16:29	ga_s2am_ard_3-2-1_54HWH_2019-07-16_final.stac-item
2019-07-16 10:16:33	ga_s2am_ard_3-2-1_54HVH_2019-07-16_final.stac-item
2019-07-16 10:16:44	ga_s2am_ard_3-2-1_54HWG_2019-07-16_final.stac-item
2019-07-16 10:16:47	ga_s2am_ard_3-2-1_54HVG_2019-07-16_final.stac-item
2019-07-16 10:16:57	ga_s2am_ard_3-2-1_54HWF_2019-07-16_final.stac-item
2019-07-16 10:17:02	ga_s2am_ard_3-2-1_54HVF_2019-07-16_final.stac-item
2019-07-16 10:17:08	ga_s2am_ard_3-2-1_54HWE_2019-07-16_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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