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 11:23:34	ga_s2am_ard_3-2-1_51KYR_2019-01-08_final.stac-item
2019-01-11 11:31:16	ga_s2am_ard_3-2-1_51LZE_2019-01-11_final.stac-item
2019-01-11 11:31:31	ga_s2am_ard_3-2-1_51LZD_2019-01-11_final.stac-item
2019-01-11 11:31:44	ga_s2am_ard_3-2-1_51LZC_2019-01-11_final.stac-item
2019-01-15 11:14:19	ga_s2am_ard_3-2-1_51JZN_2019-01-15_final.stac-item
2019-01-15 11:14:25	ga_s2am_ard_3-2-1_51JYN_2019-01-15_final.stac-item
2019-01-15 11:14:33	ga_s2am_ard_3-2-1_51JZM_2019-01-15_final.stac-item
2019-01-15 11:14:34	ga_s2am_ard_3-2-1_52JBS_2019-01-15_final.stac-item
2019-01-15 11:14:37	ga_s2am_ard_3-2-1_51JYM_2019-01-15_final.stac-item
2019-01-15 11:14:48	ga_s2am_ard_3-2-1_52JBR_2019-01-15_final.stac-item
2019-01-15 11:14:51	ga_s2am_ard_3-2-1_51JYL_2019-01-15_final.stac-item
2019-01-15 11:15:03	ga_s2am_ard_3-2-1_52JBQ_2019-01-15_final.stac-item
2019-01-15 11:15:06	ga_s2am_ard_3-2-1_51JYK_2019-01-15_final.stac-item
2019-01-15 11:15:18	ga_s2am_ard_3-2-1_52JBP_2019-01-15_final.stac-item
2019-01-15 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2019-01-15_final.stac-item
2019-01-15 11:15:32	ga_s2am_ard_3-2-1_52JBN_2019-01-15_final.stac-item
2019-01-15 11:15:35	ga_s2am_ard_3-2-1_51JYH_2019-01-15_final.stac-item
2019-01-15 11:15:47	ga_s2am_ard_3-2-1_52JBM_2019-01-15_final.stac-item
2019-01-15 11:15:49	ga_s2am_ard_3-2-1_51JYG_2019-01-15_final.stac-item
2019-01-15 11:16:01	ga_s2am_ard_3-2-1_52JBL_2019-01-15_final.stac-item
2019-01-15 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-01-15_final.stac-item
2019-01-15 11:16:16	ga_s2am_ard_3-2-1_52HBK_2019-01-15_final.stac-item
2019-01-15 11:16:18	ga_s2am_ard_3-2-1_51HYE_2019-01-15_final.stac-item
2019-01-15 11:16:33	ga_s2am_ard_3-2-1_51HYD_2019-01-15_final.stac-item
2019-01-21 11:31:17	ga_s2am_ard_3-2-1_51LZE_2019-01-21_final.stac-item
2019-01-21 11:31:32	ga_s2am_ard_3-2-1_51LZD_2019-01-21_final.stac-item
2019-01-21 11:31:45	ga_s2am_ard_3-2-1_51LZC_2019-01-21_final.stac-item
2019-01-25 11:14:20	ga_s2am_ard_3-2-1_51JZN_2019-01-25_final.stac-item
2019-01-25 11:14:26	ga_s2am_ard_3-2-1_51JYN_2019-01-25_final.stac-item
2019-01-28 11:21:37	ga_s2am_ard_3-2-1_51LZD_2019-01-28_final.stac-item
2019-01-28 11:21:51	ga_s2am_ard_3-2-1_51LZC_2019-01-28_final.stac-item
2019-01-28 11:22:06	ga_s2am_ard_3-2-1_51KZB_2019-01-28_final.stac-item
2019-01-28 11:22:20	ga_s2am_ard_3-2-1_51KZA_2019-01-28_final.stac-item
2019-01-28 11:22:35	ga_s2am_ard_3-2-1_51KZV_2019-01-28_final.stac-item
2019-01-28 11:22:49	ga_s2am_ard_3-2-1_51KZU_2019-01-28_final.stac-item
2019-01-28 11:23:03	ga_s2am_ard_3-2-1_51KZT_2019-01-28_final.stac-item
2019-01-28 11:23:18	ga_s2am_ard_3-2-1_51KZS_2019-01-28_final.stac-item
2019-01-28 11:23:32	ga_s2am_ard_3-2-1_51KZR_2019-01-28_final.stac-item
2019-01-28 11:23:36	ga_s2am_ard_3-2-1_51KYR_2019-01-28_final.stac-item
2019-01-28 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2019-01-28_final.stac-item
2019-01-28 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2019-01-28_final.stac-item
2019-05-31 11:31:23	ga_s2am_ard_3-2-1_51LZE_2019-05-31_final.stac-item
2019-05-31 11:31:38	ga_s2am_ard_3-2-1_51LZD_2019-05-31_final.stac-item
2019-05-31 11:31:51	ga_s2am_ard_3-2-1_51LZC_2019-05-31_final.stac-item
2019-06-04 11:14:33	ga_s2am_ard_3-2-1_51JZN_2019-06-04_final.stac-item
2019-06-04 11:14:33	ga_s2am_ard_3-2-1_51JZM_2019-06-04_final.stac-item
2019-06-04 11:14:35	ga_s2am_ard_3-2-1_51JYN_2019-06-04_final.stac-item
2019-06-04 11:14:35	ga_s2am_ard_3-2-1_51JYM_2019-06-04_final.stac-item
2019-06-04 11:14:40	ga_s2am_ard_3-2-1_51JZM_2019-06-04_final.stac-item
2019-06-04 11:14:40	ga_s2am_ard_3-2-1_52JBS_2019-06-04_final.stac-item
2019-06-04 11:14:43	ga_s2am_ard_3-2-1_51JYM_2019-06-04_final.stac-item
2019-06-04 11:14:55	ga_s2am_ard_3-2-1_52JBR_2019-06-04_final.stac-item
2019-06-04 11:14:58	ga_s2am_ard_3-2-1_51JYL_2019-06-04_final.stac-item
2019-06-04 11:15:09	ga_s2am_ard_3-2-1_52JBQ_2019-06-04_final.stac-item
2019-06-04 11:15:12	ga_s2am_ard_3-2-1_51JYK_2019-06-04_final.stac-item
2019-06-04 11:15:24	ga_s2am_ard_3-2-1_52JBP_2019-06-04_final.stac-item
2019-06-04 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2019-06-04_final.stac-item
2019-06-04 11:15:39	ga_s2am_ard_3-2-1_52JBN_2019-06-04_final.stac-item
2019-06-04 11:15:41	ga_s2am_ard_3-2-1_51JYH_2019-06-04_final.stac-item
2019-06-04 11:15:53	ga_s2am_ard_3-2-1_52JBM_2019-06-04_final.stac-item
2019-06-04 11:15:56	ga_s2am_ard_3-2-1_51JYG_2019-06-04_final.stac-item
2019-06-04 11:16:08	ga_s2am_ard_3-2-1_52JBL_2019-06-04_final.stac-item
2019-06-04 11:16:10	ga_s2am_ard_3-2-1_51JYF_2019-06-04_final.stac-item
2019-06-04 11:16:22	ga_s2am_ard_3-2-1_52HBK_2019-06-04_final.stac-item
2019-06-04 11:16:25	ga_s2am_ard_3-2-1_51HYE_2019-06-04_final.stac-item
2019-06-04 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-06-04_final.stac-item
2019-06-07 11:21:42	ga_s2am_ard_3-2-1_51LZD_2019-06-07_final.stac-item
2019-06-07 11:21:56	ga_s2am_ard_3-2-1_51LZC_2019-06-07_final.stac-item
2019-06-07 11:22:11	ga_s2am_ard_3-2-1_51KZB_2019-06-07_final.stac-item
2019-06-07 11:22:25	ga_s2am_ard_3-2-1_51KZA_2019-06-07_final.stac-item
2019-06-07 11:22:40	ga_s2am_ard_3-2-1_51KZV_2019-06-07_final.stac-item
2019-06-07 11:22:54	ga_s2am_ard_3-2-1_51KZU_2019-06-07_final.stac-item
2019-06-07 11:23:09	ga_s2am_ard_3-2-1_51KZT_2019-06-07_final.stac-item
2019-06-07 11:23:23	ga_s2am_ard_3-2-1_51KZS_2019-06-07_final.stac-item
2019-06-07 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-06-07_final.stac-item
2019-06-07 11:23:41	ga_s2am_ard_3-2-1_51KYR_2019-06-07_final.stac-item
2019-06-07 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2019-06-07_final.stac-item
2019-06-07 11:23:55	ga_s2am_ard_3-2-1_51KYQ_2019-06-07_final.stac-item
2019-06-07 11:24:00	ga_s2am_ard_3-2-1_51KZP_2019-06-07_final.stac-item
2019-06-07 11:24:00	ga_s2am_ard_3-2-1_51KZQ_2019-06-07_final.stac-item
2019-06-07 11:24:02	ga_s2am_ard_3-2-1_51KYQ_2019-06-07_final.stac-item
2019-06-07 11:24:02	ga_s2am_ard_3-2-1_51KYP_2019-06-07_final.stac-item
2019-06-07 11:24:07	ga_s2am_ard_3-2-1_51KZP_2019-06-07_final.stac-item
2019-06-07 11:24:10	ga_s2am_ard_3-2-1_51KYP_2019-06-07_final.stac-item
2019-06-07 11:24:21	ga_s2am_ard_3-2-1_51JZN_2019-06-07_final.stac-item
2019-06-14 11:14:26	ga_s2am_ard_3-2-1_51JZN_2019-06-14_final.stac-item
2019-06-14 11:14:32	ga_s2am_ard_3-2-1_51JYN_2019-06-14_final.stac-item
2019-06-14 11:14:41	ga_s2am_ard_3-2-1_51JZM_2019-06-14_final.stac-item
2019-06-14 11:14:41	ga_s2am_ard_3-2-1_52JBS_2019-06-14_final.stac-item
2019-06-17 11:21:43	ga_s2am_ard_3-2-1_51LZD_2019-06-17_final.stac-item
2019-06-17 11:21:58	ga_s2am_ard_3-2-1_51LZC_2019-06-17_final.stac-item
2019-06-17 11:22:12	ga_s2am_ard_3-2-1_51KZB_2019-06-17_final.stac-item
2019-06-17 11:22:27	ga_s2am_ard_3-2-1_51KZA_2019-06-17_final.stac-item
2019-06-17 11:22:41	ga_s2am_ard_3-2-1_51KZV_2019-06-17_final.stac-item
2019-06-17 11:22:56	ga_s2am_ard_3-2-1_51KZU_2019-06-17_final.stac-item
2019-06-17 11:23:10	ga_s2am_ard_3-2-1_51KZT_2019-06-17_final.stac-item
2019-06-17 11:23:25	ga_s2am_ard_3-2-1_51KZS_2019-06-17_final.stac-item
2019-06-17 11:23:35	ga_s2am_ard_3-2-1_51KZR_2019-06-17_final.stac-item
2019-06-20 11:31:24	ga_s2am_ard_3-2-1_51LZE_2019-06-20_final.stac-item
2019-06-20 11:31:39	ga_s2am_ard_3-2-1_51LZD_2019-06-20_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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