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
2019-01-08 09:47:24	ga_s2am_ard_3-2-1_55HET_2019-01-08_final.stac-item
2019-01-08 09:47:28	ga_s2am_ard_3-2-1_55HDT_2019-01-08_final.stac-item
2019-01-08 09:47:31	ga_s2am_ard_3-2-1_55HCT_2019-01-08_final.stac-item
2019-01-08 09:47:35	ga_s2am_ard_3-2-1_55HBT_2019-01-08_final.stac-item
2019-01-15 09:37:29	ga_s2am_ard_3-2-1_55HET_2019-01-15_final.stac-item
2019-01-18 09:47:11	ga_s2am_ard_3-2-1_55HEU_2019-01-18_final.stac-item
2019-01-18 09:47:14	ga_s2am_ard_3-2-1_55HDU_2019-01-18_final.stac-item
2019-01-18 09:47:25	ga_s2am_ard_3-2-1_55HET_2019-01-18_final.stac-item
2019-01-18 09:47:29	ga_s2am_ard_3-2-1_55HDT_2019-01-18_final.stac-item
2019-01-18 09:47:32	ga_s2am_ard_3-2-1_55HCT_2019-01-18_final.stac-item
2019-01-18 09:47:36	ga_s2am_ard_3-2-1_55HBT_2019-01-18_final.stac-item
2019-01-25 09:37:30	ga_s2am_ard_3-2-1_55HET_2019-01-25_final.stac-item
2019-01-28 09:47:11	ga_s2am_ard_3-2-1_55HEU_2019-01-28_final.stac-item
2019-01-28 09:47:15	ga_s2am_ard_3-2-1_55HDU_2019-01-28_final.stac-item
2019-01-28 09:47:26	ga_s2am_ard_3-2-1_55HET_2019-01-28_final.stac-item
2019-01-28 09:47:30	ga_s2am_ard_3-2-1_55HDT_2019-01-28_final.stac-item
2019-01-28 09:47:33	ga_s2am_ard_3-2-1_55HCT_2019-01-28_final.stac-item
2019-01-28 09:47:37	ga_s2am_ard_3-2-1_55HBT_2019-01-28_final.stac-item
2019-07-13 10:07:31	ga_s2am_ard_3-2-1_54HWD_2019-07-13_final.stac-item
2019-07-13 10:07:35	ga_s2am_ard_3-2-1_54HVD_2019-07-13_final.stac-item
2019-07-13 10:07:42	ga_s2am_ard_3-2-1_54HXC_2019-07-13_final.stac-item
2019-07-13 10:07:46	ga_s2am_ard_3-2-1_54HWC_2019-07-13_final.stac-item
2020-07-17 10:07:31	ga_s2am_ard_3-2-1_54HWD_2020-07-17_final.stac-item
2020-07-17 10:07:34	ga_s2am_ard_3-2-1_54HVD_2020-07-17_final.stac-item
2020-07-17 10:07:41	ga_s2am_ard_3-2-1_54HXC_2020-07-17_final.stac-item
2020-07-17 10:07:45	ga_s2am_ard_3-2-1_54HWC_2020-07-17_final.stac-item
2020-07-24 09:57:38	ga_s2am_ard_3-2-1_55HCT_2020-07-24_final.stac-item
2020-07-24 09:57:41	ga_s2am_ard_3-2-1_55HBT_2020-07-24_final.stac-item
2020-07-24 09:57:42	ga_s2am_ard_3-2-1_54HYC_2020-07-24_final.stac-item
2020-07-24 09:57:46	ga_s2am_ard_3-2-1_54HXC_2020-07-24_final.stac-item
2020-07-24 09:57:51	ga_s2am_ard_3-2-1_54HWC_2020-07-24_final.stac-item
2020-07-28 09:37:35	ga_s2am_ard_3-2-1_55HFT_2020-07-28_final
2020-07-28 09:37:39	ga_s2am_ard_3-2-1_55HET_2020-07-28_final.stac-item
2020-08-17 09:37:35	ga_s2am_ard_3-2-1_55HFT_2020-08-17_final
2020-08-17 09:37:39	ga_s2am_ard_3-2-1_55HET_2020-08-17_final.stac-item
2020-08-23 09:57:38	ga_s2am_ard_3-2-1_55HCT_2020-08-23_final.stac-item
2020-08-23 09:57:41	ga_s2am_ard_3-2-1_55HBT_2020-08-23_final.stac-item
2020-08-23 09:57:42	ga_s2am_ard_3-2-1_54HYC_2020-08-23_final.stac-item
2020-08-23 09:57:46	ga_s2am_ard_3-2-1_54HXC_2020-08-23_final.stac-item
2020-08-23 09:57:51	ga_s2am_ard_3-2-1_54HWC_2020-08-23_final.stac-item
2020-10-22 09:57:37	ga_s2am_ard_3-2-1_55HCT_2020-10-22_final.stac-item
2020-10-22 09:57:41	ga_s2am_ard_3-2-1_55HBT_2020-10-22_final.stac-item
2020-10-22 09:57:42	ga_s2am_ard_3-2-1_54HYC_2020-10-22_final.stac-item
2020-10-22 09:57:46	ga_s2am_ard_3-2-1_54HXC_2020-10-22_final.stac-item
2020-10-22 09:57:51	ga_s2am_ard_3-2-1_54HWC_2020-10-22_final.stac-item
2020-10-26 09:37:34	ga_s2am_ard_3-2-1_55HFT_2020-10-26_final
2020-10-26 09:37:38	ga_s2am_ard_3-2-1_55HET_2020-10-26_final.stac-item
2020-11-01 09:57:37	ga_s2am_ard_3-2-1_55HCT_2020-11-01_final.stac-item
2020-11-01 09:57:41	ga_s2am_ard_3-2-1_55HBT_2020-11-01_final.stac-item
2020-11-01 09:57:42	ga_s2am_ard_3-2-1_54HYC_2020-11-01_final.stac-item
2020-11-01 09:57:45	ga_s2am_ard_3-2-1_54HXC_2020-11-01_final.stac-item
2020-11-01 09:57:50	ga_s2am_ard_3-2-1_54HWC_2020-11-01_final.stac-item
2020-11-04 10:07:31	ga_s2am_ard_3-2-1_54HWD_2020-11-04_final.stac-item
2020-11-04 10:07:34	ga_s2am_ard_3-2-1_54HVD_2020-11-04_final.stac-item
2020-11-04 10:07:41	ga_s2am_ard_3-2-1_54HXC_2020-11-04_final.stac-item
2020-11-04 10:07:45	ga_s2am_ard_3-2-1_54HWC_2020-11-04_final.stac-item
2020-11-08 09:47:19	ga_s2am_ard_3-2-1_55HEU_2020-11-08_final.stac-item
2020-11-08 09:47:23	ga_s2am_ard_3-2-1_55HDU_2020-11-08_final.stac-item
2020-11-08 09:47:24	ga_s2am_ard_3-2-1_55HFT_2020-11-08_final
2020-11-08 09:47:33	ga_s2am_ard_3-2-1_55HET_2020-11-08_final.stac-item
2020-11-08 09:47:37	ga_s2am_ard_3-2-1_55HDT_2020-11-08_final.stac-item
2020-11-08 09:47:41	ga_s2am_ard_3-2-1_55HCT_2020-11-08_final.stac-item
2020-11-08 09:47:45	ga_s2am_ard_3-2-1_55HBT_2020-11-08_final.stac-item
2020-11-21 09:57:34	ga_s2am_ard_3-2-1_55HCT_2020-11-21_final.stac-item
2020-11-21 09:57:38	ga_s2am_ard_3-2-1_55HBT_2020-11-21_final.stac-item
2020-11-21 09:57:39	ga_s2am_ard_3-2-1_54HYC_2020-11-21_final.stac-item
2020-11-21 09:57:43	ga_s2am_ard_3-2-1_54HXC_2020-11-21_final.stac-item
2020-11-21 09:57:48	ga_s2am_ard_3-2-1_54HWC_2020-11-21_final.stac-item
2020-12-05 09:37:27	ga_s2am_ard_3-2-1_55HFT_2020-12-05_final
2020-12-05 09:37:31	ga_s2am_ard_3-2-1_55HET_2020-12-05_final.stac-item
2020-12-08 09:47:12	ga_s2am_ard_3-2-1_55HEU_2020-12-08_final.stac-item
2020-12-08 09:47:16	ga_s2am_ard_3-2-1_55HDU_2020-12-08_final.stac-item
2020-12-08 09:47:17	ga_s2am_ard_3-2-1_55HFT_2020-12-08_final
2020-12-08 09:47:26	ga_s2am_ard_3-2-1_55HET_2020-12-08_final.stac-item
2020-12-08 09:47:30	ga_s2am_ard_3-2-1_55HDT_2020-12-08_final.stac-item
2020-12-08 09:47:33	ga_s2am_ard_3-2-1_55HCT_2020-12-08_final.stac-item
2020-12-11 09:57:29	ga_s2am_ard_3-2-1_55HCT_2020-12-11_final.stac-item
2020-12-11 09:57:32	ga_s2am_ard_3-2-1_55HBT_2020-12-11_final.stac-item
2020-12-11 09:57:33	ga_s2am_ard_3-2-1_54HYC_2020-12-11_final.stac-item
2020-12-11 09:57:37	ga_s2am_ard_3-2-1_54HXC_2020-12-11_final.stac-item
2020-12-11 09:57:42	ga_s2am_ard_3-2-1_54HWC_2020-12-11_final.stac-item
2021-09-30 10:07:30	ga_s2am_ard_3-2-1_54HWD_2021-09-30_final.stac-item
2021-09-30 10:07:34	ga_s2am_ard_3-2-1_54HVD_2021-09-30_final.stac-item
2021-09-30 10:07:41	ga_s2am_ard_3-2-1_54HXC_2021-09-30_final.stac-item
2021-09-30 10:07:45	ga_s2am_ard_3-2-1_54HWC_2021-09-30_final.stac-item
2021-09-30 10:07:48	ga_s2am_ard_3-2-1_54HVC_2021-09-30_final
2021-10-03 10:17:42	ga_s2am_ard_3-2-1_54HVC_2021-10-03_final
2021-10-10 10:07:31	ga_s2am_ard_3-2-1_54HWD_2021-10-10_final.stac-item
2021-10-10 10:07:35	ga_s2am_ard_3-2-1_54HVD_2021-10-10_final.stac-item
2021-10-10 10:07:42	ga_s2am_ard_3-2-1_54HXC_2021-10-10_final.stac-item
2021-10-10 10:07:46	ga_s2am_ard_3-2-1_54HWC_2021-10-10_final.stac-item
2021-10-10 10:07:49	ga_s2am_ard_3-2-1_54HVC_2021-10-10_final
2021-10-11 09:37:34	ga_s2am_ard_3-2-1_55HFT_2021-10-11_final
2021-10-11 09:37:38	ga_s2am_ard_3-2-1_55HET_2021-10-11_final.stac-item
2021-10-20 10:07:31	ga_s2am_ard_3-2-1_54HWD_2021-10-20_final.stac-item
2021-10-20 10:07:35	ga_s2am_ard_3-2-1_54HVD_2021-10-20_final.stac-item
2021-10-20 10:07:42	ga_s2am_ard_3-2-1_54HXC_2021-10-20_final.stac-item
2021-10-20 10:07:46	ga_s2am_ard_3-2-1_54HWC_2021-10-20_final.stac-item
2021-10-20 10:07:49	ga_s2am_ard_3-2-1_54HVC_2021-10-20_final
2021-10-21 09:37:34	ga_s2am_ard_3-2-1_55HFT_2021-10-21_final

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