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
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KVB_2018-10-03_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KWB_2018-10-03_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KXA_2018-10-03_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KXB_2018-10-03_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KYA_2018-10-03_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KYB_2018-10-03_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_53KRB_2018-10-05_final
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54KTF_2018-10-05_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54KTG_2018-10-05_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54KUF_2018-10-05_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54KUG_2018-10-05_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54KVG_2018-10-05_final.stac-item
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_53KRA_2018-10-05_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55KCB_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55KDB_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55KEB_2018-10-06_final.stac-item
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55KFB_2018-10-06_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUA_2018-10-06_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KVB_2018-10-06_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KWB_2018-10-06_final.stac-item
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_54KVG_2018-10-12_final.stac-item
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_55KCB_2018-10-16_final.stac-item
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_55KDB_2018-10-16_final.stac-item
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_55KEB_2018-10-16_final.stac-item
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_55KFB_2018-10-16_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KUA_2018-10-16_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KVB_2018-10-16_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KWB_2018-10-16_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KKA_2018-10-21_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KKB_2018-10-21_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KLA_2018-10-21_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KLB_2018-10-21_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KMB_2018-10-21_final.stac-item
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53KNB_2018-10-21_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KVG_2018-10-22_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KWG_2018-10-22_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KXF_2018-10-22_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KXG_2018-10-22_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KYF_2018-10-22_final.stac-item
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_54KYG_2018-10-22_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_53KKA_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_53KKB_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_53KLA_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_53KLB_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KFF_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KFG_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KGF_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KGG_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KHF_2018-10-24_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KHG_2018-10-24_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_53KKA_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_53KKB_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_53KLA_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_53KLB_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KFF_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KFG_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KGF_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KGG_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KHF_2018-11-03_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KHG_2018-11-03_final.stac-item
2018-11-13 11:01:52	ga_s2am_ard_3-2-1_52KHG_2018-11-13_final.stac-item
2018-11-13 11:01:55	ga_s2am_ard_3-2-1_52KGG_2018-11-13_final.stac-item
2018-11-13 11:01:58	ga_s2am_ard_3-2-1_53KLA_2018-11-13_final.stac-item
2018-11-13 11:01:58	ga_s2am_ard_3-2-1_52KFG_2018-11-13_final.stac-item
2018-11-13 11:02:05	ga_s2am_ard_3-2-1_53KKA_2018-11-13_final.stac-item
2018-11-13 11:02:06	ga_s2am_ard_3-2-1_52KHF_2018-11-13_final.stac-item
2018-11-13 11:02:10	ga_s2am_ard_3-2-1_52KGF_2018-11-13_final.stac-item
2018-11-13 11:02:13	ga_s2am_ard_3-2-1_52KFF_2018-11-13_final.stac-item
2018-11-15 10:01:23	ga_s2am_ard_3-2-1_55KFB_2018-11-15_final.stac-item
2018-11-15 10:01:26	ga_s2am_ard_3-2-1_55KEB_2018-11-15_final.stac-item
2018-11-15 10:01:30	ga_s2am_ard_3-2-1_55KDB_2018-11-15_final.stac-item
2018-11-15 10:01:33	ga_s2am_ard_3-2-1_55KCB_2018-11-15_final.stac-item
2018-11-16 11:11:53	ga_s2am_ard_3-2-1_52KFG_2018-11-16_final.stac-item
2018-11-16 11:11:57	ga_s2am_ard_3-2-1_52KEG_2018-11-16_final.stac-item
2018-11-16 11:12:00	ga_s2am_ard_3-2-1_52KDG_2018-11-16_final.stac-item
2018-11-16 11:12:05	ga_s2am_ard_3-2-1_52KCG_2018-11-16_final.stac-item
2019-08-17 10:51:54	ga_s2am_ard_3-2-1_53KNB_2019-08-17_final.stac-item
2019-08-17 10:51:57	ga_s2am_ard_3-2-1_53KMB_2019-08-17_final.stac-item
2019-08-17 10:52:00	ga_s2am_ard_3-2-1_53KLB_2019-08-17_final.stac-item
2019-08-17 10:52:05	ga_s2am_ard_3-2-1_53KKB_2019-08-17_final.stac-item
2019-08-17 10:52:15	ga_s2am_ard_3-2-1_53KLA_2019-08-17_final.stac-item
2019-08-17 10:52:18	ga_s2am_ard_3-2-1_53KKA_2019-08-17_final.stac-item
2019-08-25 10:11:35	ga_s2am_ard_3-2-1_55KCB_2019-08-25_final.stac-item
2019-08-25 10:11:39	ga_s2am_ard_3-2-1_55KBB_2019-08-25_final.stac-item
2019-08-25 10:11:40	ga_s2am_ard_3-2-1_54KZG_2019-08-25_final.stac-item
2019-08-25 10:11:43	ga_s2am_ard_3-2-1_54KYG_2019-08-25_final.stac-item
2019-08-25 10:11:50	ga_s2am_ard_3-2-1_55KCA_2019-08-25_final.stac-item
2019-08-25 10:11:53	ga_s2am_ard_3-2-1_55KBA_2019-08-25_final.stac-item
2019-08-25 10:11:54	ga_s2am_ard_3-2-1_54KZF_2019-08-25_final.stac-item
2019-08-25 10:11:58	ga_s2am_ard_3-2-1_54KYF_2019-08-25_final.stac-item
2019-08-29 09:51:31	ga_s2am_ard_3-2-1_55KGB_2019-08-29_final.stac-item
2019-08-29 09:51:34	ga_s2am_ard_3-2-1_55KFB_2019-08-29_final.stac-item
2019-08-29 09:51:37	ga_s2am_ard_3-2-1_56KKF_2019-08-29_final.stac-item
2019-08-29 09:51:39	ga_s2am_ard_3-2-1_55KGB_2019-08-29_final.stac-item
2019-08-29 09:51:40	ga_s2am_ard_3-2-1_55KFA_2019-08-29_final.stac-item
2019-08-29 09:51:41	ga_s2am_ard_3-2-1_55KFB_2019-08-29_final.stac-item
2019-08-29 09:51:49	ga_s2am_ard_3-2-1_55KFA_2019-08-29_final.stac-item
2019-09-02 11:12:06	ga_s2am_ard_3-2-1_52KDG_2019-09-02_final.stac-item
2019-09-02 11:12:11	ga_s2am_ard_3-2-1_52KCG_2019-09-02_final.stac-item
2019-09-02 11:12:14	ga_s2am_ard_3-2-1_52KDG_2019-09-02_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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