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
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_51KZP_2015-09-23_final.stac-item
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_52KBU_2015-09-23_final.stac-item
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_52KCU_2015-09-23_final.stac-item
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_52KDU_2015-09-23_final.stac-item
2015-09-23 11:13:12	ga_s2am_ard_3-2-1_52KEU_2015-09-23_final.stac-item
2015-09-29 09:52:42	ga_s2am_ard_3-2-1_55KDP_2015-09-29_final.stac-item
2015-09-29 09:52:42	ga_s2am_ard_3-2-1_55KEP_2015-09-29_final.stac-item
2015-09-29 09:52:42	ga_s2am_ard_3-2-1_55KFP_2015-09-29_final.stac-item
2015-09-29 09:52:42	ga_s2am_ard_3-2-1_55KGP_2015-09-29_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KWP_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KXP_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KYP_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KZP_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52KBU_2015-11-25_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_53KKP_2015-11-26_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_53KLP_2015-11-26_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_53KMP_2015-11-26_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_52KGU_2015-11-26_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_52KHU_2015-11-26_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KLP_2016-05-31_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KMP_2016-05-31_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KNP_2016-05-31_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KPP_2016-05-31_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_50KKU_2016-06-07_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-06-07_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-06-07_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56KMU_2016-06-09_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56KLU_2016-06-09_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54KWU_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54KXU_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54KYU_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54KZU_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_55KBP_2016-06-21_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_56KKU_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_56KLU_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55KFP_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55KGP_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55KHP_2016-06-22_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_53KKP_2016-06-23_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_53KLP_2016-06-23_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_53KMP_2016-06-23_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_52KGU_2016-06-23_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_52KHU_2016-06-23_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53KLP_2016-06-30_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53KMP_2016-06-30_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53KNP_2016-06-30_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53KPP_2016-06-30_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KDU_2018-02-26_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KEU_2018-02-26_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KFU_2018-02-26_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KGU_2018-02-26_final.stac-item
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_53KKP_2018-03-05_final.stac-item
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_53KLP_2018-03-05_final.stac-item
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_53KMP_2018-03-05_final.stac-item
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_52KGU_2018-03-05_final.stac-item
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_52KHU_2018-03-05_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55KDP_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55KEP_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55KFP_2018-03-07_final.stac-item
2018-03-07 09:50:50	ga_s2am_ard_3-2-1_55KGP_2018-03-07_final.stac-item
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_53KKP_2018-03-15_final.stac-item
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_53KLP_2018-03-15_final.stac-item
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_53KMP_2018-03-15_final.stac-item
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_52KGU_2018-03-15_final.stac-item
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_52KHU_2018-03-15_final.stac-item
2018-03-17 09:50:50	ga_s2am_ard_3-2-1_55KDP_2018-03-17_final.stac-item
2018-03-17 09:50:50	ga_s2am_ard_3-2-1_55KEP_2018-03-17_final.stac-item
2018-03-17 09:50:50	ga_s2am_ard_3-2-1_55KFP_2018-03-17_final.stac-item
2018-03-17 09:50:50	ga_s2am_ard_3-2-1_55KGP_2018-03-17_final.stac-item
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KDU_2018-03-18_final.stac-item
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KEU_2018-03-18_final.stac-item
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KFU_2018-03-18_final.stac-item
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KGU_2018-03-18_final.stac-item
2019-05-08 09:43:27	ga_s2am_ard_3-2-1_56KLU_2019-05-08_final.stac-item
2019-05-08 09:43:30	ga_s2am_ard_3-2-1_56KKU_2019-05-08_final.stac-item
2019-05-08 09:43:30	ga_s2am_ard_3-2-1_55KHP_2019-05-08_final.stac-item
2019-05-08 09:43:34	ga_s2am_ard_3-2-1_55KGP_2019-05-08_final.stac-item
2019-05-08 09:43:38	ga_s2am_ard_3-2-1_55KFP_2019-05-08_final.stac-item
2019-05-14 11:44:17	ga_s2am_ard_3-2-1_51KUP_2019-05-14_final.stac-item
2019-05-14 11:44:20	ga_s2am_ard_3-2-1_50KRU_2019-05-14_final.stac-item
2019-05-14 11:44:20	ga_s2am_ard_3-2-1_51KTP_2019-05-14_final.stac-item
2019-05-14 11:44:23	ga_s2am_ard_3-2-1_50KQU_2019-05-14_final.stac-item
2019-05-14 11:44:27	ga_s2am_ard_3-2-1_50KPU_2019-05-14_final.stac-item
2019-05-17 10:13:36	ga_s2am_ard_3-2-1_55KBP_2019-05-17_final.stac-item
2019-05-17 10:13:37	ga_s2am_ard_3-2-1_54KZU_2019-05-17_final.stac-item
2019-05-17 10:13:41	ga_s2am_ard_3-2-1_54KYU_2019-05-17_final.stac-item
2019-05-17 10:13:45	ga_s2am_ard_3-2-1_54KXU_2019-05-17_final.stac-item
2019-05-17 10:13:48	ga_s2am_ard_3-2-1_54KWU_2019-05-17_final.stac-item
2019-05-17 11:54:17	ga_s2am_ard_3-2-1_50KQU_2019-05-17_final.stac-item
2019-05-17 11:54:22	ga_s2am_ard_3-2-1_50KPU_2019-05-17_final.stac-item
2019-05-17 11:54:26	ga_s2am_ard_3-2-1_50KNU_2019-05-17_final.stac-item
2019-05-17 11:54:30	ga_s2am_ard_3-2-1_50KMU_2019-05-17_final.stac-item
2019-05-17 11:54:37	ga_s2am_ard_3-2-1_50KLU_2019-05-17_final.stac-item
2019-05-23 10:33:44	ga_s2am_ard_3-2-1_54KUU_2019-05-23_final.stac-item
2019-05-23 10:33:49	ga_s2am_ard_3-2-1_54KTU_2019-05-23_final.stac-item
2019-05-23 10:33:49	ga_s2am_ard_3-2-1_53KRP_2019-05-23_final.stac-item
2019-05-23 10:33:52	ga_s2am_ard_3-2-1_53KQP_2019-05-23_final.stac-item
2019-05-23 10:33:56	ga_s2am_ard_3-2-1_53KPP_2019-05-23_final.stac-item
2019-05-27 10:13:40	ga_s2am_ard_3-2-1_54KYU_2019-05-27_final.stac-item
2019-05-27 10:13:44	ga_s2am_ard_3-2-1_54KXU_2019-05-27_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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