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
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVA_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVB_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVC_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVD_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVE_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVF_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVG_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVU_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVV_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LVH_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54LVJ_2016-02-05_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HVF_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HVG_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HVH_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HVJ_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HWF_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HWG_2016-02-12_final.stac-item
2016-02-12 10:15:50	ga_s2am_ard_3-2-1_54HWH_2016-02-12_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVM_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVN_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVP_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVQ_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVR_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVS_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVT_2016-03-23_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_54KVG_2016-03-29_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVD_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVE_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVF_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVG_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVH_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWC_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWD_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWE_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWF_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWG_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HWH_2016-04-09_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54HVC_2016-04-09_final
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54KVG_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54LVH_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54LVJ_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54LVK_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54LVL_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54LVM_2016-04-28_final.stac-item
2016-05-09 10:05:57	ga_s2am_ard_3-2-1_54HVH_2016-05-09_final.stac-item
2017-06-19 10:22:04	ga_s2am_ard_3-2-1_54KVC_2017-06-19_final.stac-item
2017-06-19 10:22:04	ga_s2am_ard_3-2-1_54KVD_2017-06-19_final.stac-item
2017-06-19 10:22:04	ga_s2am_ard_3-2-1_54KVE_2017-06-19_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVA_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVB_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVC_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVD_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVE_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVF_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54KVG_2017-06-29_final.stac-item
2017-06-29 10:17:04	ga_s2am_ard_3-2-1_54LVH_2017-06-29_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_54KVG_2017-07-02_final.stac-item
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_54LVH_2017-07-02_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54KVC_2017-07-19_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54KVD_2017-07-19_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54KVE_2017-07-19_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54KVF_2017-07-19_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54KVG_2017-07-19_final.stac-item
2017-07-19 10:17:07	ga_s2am_ard_3-2-1_54LVH_2017-07-19_final.stac-item
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_54KVA_2017-07-19_final.stac-item
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_54KVB_2017-07-19_final.stac-item
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_54KVC_2017-07-19_final.stac-item
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_54KVD_2017-07-19_final.stac-item
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_54KVV_2017-07-19_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVD_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVE_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVF_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVG_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVH_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWC_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWD_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWE_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWF_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWG_2017-08-02_final.stac-item
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HWH_2017-08-02_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVA_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVB_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVC_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVD_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVE_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVF_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54KVG_2017-08-28_final.stac-item
2017-08-28 10:17:06	ga_s2am_ard_3-2-1_54LVH_2017-08-28_final.stac-item
2018-09-12 10:17:03	ga_s2am_ard_3-2-1_54KVE_2018-09-12_final.stac-item
2018-09-12 10:17:03	ga_s2am_ard_3-2-1_54KVF_2018-09-12_final.stac-item
2018-09-12 10:17:03	ga_s2am_ard_3-2-1_54KVG_2018-09-12_final.stac-item
2018-09-12 10:17:03	ga_s2am_ard_3-2-1_54LVH_2018-09-12_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVS_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVT_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54HVK_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVL_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVM_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVN_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVP_2018-09-19_final.stac-item
2018-09-19 10:07:00	ga_s2am_ard_3-2-1_54JVQ_2018-09-19_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

All years