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
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52LDH_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52LEH_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52LFH_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52LGH_2016-08-18_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KQB_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KRB_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LNC_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPC_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQC_2016-08-19_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51KYB_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51KZB_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51LYC_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51LZC_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_52LBH_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_52LCH_2016-08-31_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_52LDH_2016-08-31_final.stac-item
2016-09-06 10:00:31	ga_s2am_ard_3-2-1_55LCC_2016-09-06_final.stac-item
2016-09-06 10:00:31	ga_s2am_ard_3-2-1_55LEC_2016-09-06_final.stac-item
2016-09-06 10:00:31	ga_s2am_ard_3-2-1_55LFC_2016-09-06_final.stac-item
2016-09-13 09:51:02	ga_s2am_ard_3-2-1_55KGB_2016-09-13_final.stac-item
2016-09-13 09:51:02	ga_s2am_ard_3-2-1_55KHB_2016-09-13_final.stac-item
2016-09-13 09:51:02	ga_s2am_ard_3-2-1_55LFC_2016-09-13_final.stac-item
2016-09-13 09:51:02	ga_s2am_ard_3-2-1_55LGC_2016-09-13_final.stac-item
2016-09-13 09:51:02	ga_s2am_ard_3-2-1_55LHC_2016-09-13_final.stac-item
2016-09-26 10:00:28	ga_s2am_ard_3-2-1_55LCC_2016-09-26_final.stac-item
2016-09-26 10:00:28	ga_s2am_ard_3-2-1_55LEC_2016-09-26_final.stac-item
2016-09-26 10:00:28	ga_s2am_ard_3-2-1_55LFC_2016-09-26_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51LUC_2016-09-26_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51LVC_2016-09-26_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51LWC_2016-09-26_final.stac-item
2016-10-03 09:51:01	ga_s2am_ard_3-2-1_55KGB_2016-10-03_final.stac-item
2016-10-03 09:51:01	ga_s2am_ard_3-2-1_55KHB_2016-10-03_final.stac-item
2016-10-03 09:51:01	ga_s2am_ard_3-2-1_55LFC_2016-10-03_final.stac-item
2016-10-03 09:51:01	ga_s2am_ard_3-2-1_55LGC_2016-10-03_final.stac-item
2016-10-03 09:51:01	ga_s2am_ard_3-2-1_55LHC_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51KYB_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51KZB_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51LWC_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51LXC_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51LYC_2016-10-03_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51LZC_2016-10-03_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50KQG_2016-10-09_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_51KYB_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_51KZB_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_51LYC_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_51LZC_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_52LBH_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_52LCH_2016-10-10_final.stac-item
2016-10-10 11:16:55	ga_s2am_ard_3-2-1_52LDH_2016-10-10_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KYB_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KZB_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51LWC_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51LXC_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51LYC_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51LZC_2016-10-23_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51KYB_2016-11-02_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51KZB_2016-11-02_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51LWC_2016-11-02_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51LXC_2016-11-02_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51LYC_2016-11-02_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51LZC_2016-11-02_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LDH_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LEH_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LFH_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LGH_2017-01-25_final.stac-item
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KQB_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KRB_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53LPC_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53LQC_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53LNC_2017-02-05_final.stac-item
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53KQB_2017-02-15_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53KRB_2017-02-15_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53LPC_2017-02-15_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53LQC_2017-02-15_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53LNC_2017-02-15_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_54KYG_2017-02-16_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_54KZG_2017-02-16_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_54LYH_2017-02-16_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_54LZH_2017-02-16_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_55LBC_2017-02-16_final.stac-item
2017-02-16 10:07:16	ga_s2am_ard_3-2-1_55LCC_2017-02-16_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51KYB_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51KZB_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51LYC_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51LZC_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_52LBH_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_52LCH_2017-02-17_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_52LDH_2017-02-17_final.stac-item
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53LPC_2017-02-18_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53LLC_2017-02-18_final.stac-item
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53LMC_2017-02-18_final.stac-item
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53LNC_2017-02-18_final.stac-item
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54LVH_2017-02-19_final.stac-item
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54LWH_2017-02-19_final.stac-item
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54LXH_2017-02-19_final.stac-item
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54LYH_2017-02-19_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51LVC_2018-04-09_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51LWC_2018-04-09_final.stac-item
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52LDH_2018-04-10_final.stac-item
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52LEH_2018-04-10_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