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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JQT_2016-01-03_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KWP_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KWR_2016-02-06_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUP_2016-02-19_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPQ_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPR_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPS_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KRC_2016-03-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KMV_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWQ_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KTU_2016-11-05_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVT_2016-11-12_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KWR_2016-11-12_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KVU_2016-11-15_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51KXR_2016-11-19_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51KXS_2016-11-19_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KUR_2017-01-01_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQK_2017-01-31_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVA_2017-02-03_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JNQ_2017-03-25_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUS_2017-11-07_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWP_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXS_2017-12-17_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51JTN_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVQ_2018-01-06_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWQ_2018-02-15_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXQ_2018-02-15_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVT_2018-11-05_final.stac-item
2018-11-12 11:34:09	ga_s2am_ard_3-2-1_51KVP_2018-11-12_final.stac-item
2018-11-15 11:43:19	ga_s2am_ard_3-2-1_51KVS_2018-11-15_final.stac-item
2018-11-22 11:33:41	ga_s2am_ard_3-2-1_51KUR_2018-11-22_final.stac-item
2018-11-25 11:44:05	ga_s2am_ard_3-2-1_51KUP_2018-11-25_final.stac-item
2018-12-02 11:33:36	ga_s2am_ard_3-2-1_51KVR_2018-12-02_final.stac-item
2018-12-12 11:33:30	ga_s2am_ard_3-2-1_51KXR_2018-12-12_final.stac-item
2018-12-19 11:23:48	ga_s2am_ard_3-2-1_51KXQ_2018-12-19_final.stac-item
2018-12-22 11:33:51	ga_s2am_ard_3-2-1_51KVQ_2018-12-22_final.stac-item
2018-12-29 11:24:08	ga_s2am_ard_3-2-1_51KWP_2018-12-29_final.stac-item
2019-01-18 11:23:58	ga_s2am_ard_3-2-1_51KWQ_2019-01-18_final.stac-item
2019-01-31 11:33:27	ga_s2am_ard_3-2-1_51KVS_2019-01-31_final.stac-item
2019-03-02 11:33:25	ga_s2am_ard_3-2-1_51KVS_2019-03-02_final.stac-item
2019-10-28 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2019-10-28_final.stac-item
2019-11-20 11:42:58	ga_s2am_ard_3-2-1_51KVU_2019-11-20_final.stac-item
2019-11-20 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-11-20_final.stac-item
2019-12-04 11:23:41	ga_s2am_ard_3-2-1_51KXR_2019-12-04_final.stac-item
2019-12-27 11:34:31	ga_s2am_ard_3-2-1_51JTN_2019-12-27_final.stac-item
2020-01-26 11:33:49	ga_s2am_ard_3-2-1_51KWQ_2020-01-26_final.stac-item
2020-02-05 11:33:22	ga_s2am_ard_3-2-1_51KVS_2020-02-05_final.stac-item
2020-02-05 11:33:33	ga_s2am_ard_3-2-1_51KWR_2020-02-05_final.stac-item
2020-02-15 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-02-15_final.stac-item
2020-02-15 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2020-02-15_final.stac-item
2020-02-15 11:34:30	ga_s2am_ard_3-2-1_50JRT_2020-02-15_final.stac-item
2020-10-05 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-10-05_final.stac-item
2020-11-04 11:43:05	ga_s2am_ard_3-2-1_51KUU_2020-11-04_final.stac-item
2020-11-14 11:43:18	ga_s2am_ard_3-2-1_51KUT_2020-11-14_final.stac-item
2020-12-04 11:42:55	ga_s2am_ard_3-2-1_51KVU_2020-12-04_final.stac-item
2020-12-14 11:43:26	ga_s2am_ard_3-2-1_51KUS_2020-12-14_final.stac-item
2020-12-18 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2020-12-18_final.stac-item
2021-01-03 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-01-03_final.stac-item
2021-01-10 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-01-10_final.stac-item
2021-02-09 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2021-02-09_final.stac-item
2021-02-19 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-02-19_final.stac-item
2021-03-01 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-03-01_final.stac-item
2021-03-01 11:34:36	ga_s2am_ard_3-2-1_50JRT_2021-03-01_final.stac-item
2021-08-14 11:53:05	ga_s2am_ard_3-2-1_50KQD_2021-08-14_final
2021-10-27 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2021-10-27_final.stac-item
2021-11-19 11:43:11	ga_s2am_ard_3-2-1_51KVT_2021-11-19_final.stac-item
2021-11-19 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-19_final.stac-item
2021-12-19 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-12-19_final.stac-item
2021-12-19 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-12-19_final.stac-item
2021-12-26 11:33:14	ga_s2am_ard_3-2-1_51KWT_2021-12-26_final.stac-item
2022-01-08 11:44:14	ga_s2am_ard_3-2-1_51KUP_2022-01-08_final.stac-item
2022-01-12 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-01-12_final.stac-item
2022-01-15 11:33:23	ga_s2am_ard_3-2-1_51KUT_2022-01-15_final.stac-item
2022-01-15 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-01-15_final.stac-item
2022-01-15 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2022-01-15_final.stac-item
2022-01-18 11:43:25	ga_s2am_ard_3-2-1_51KVS_2022-01-18_final.stac-item
2022-02-14 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2022-02-14_final.stac-item
2022-11-01 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2022-11-01_final.stac-item
2022-11-11 11:33:02	ga_s2am_ard_3-2-1_51KWU_2022-11-11_final.stac-item
2022-11-11 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-11-11_final.stac-item
2022-11-14 11:43:14	ga_s2am_ard_3-2-1_51KVT_2022-11-14_final.stac-item
2022-11-24 11:44:12	ga_s2am_ard_3-2-1_51KUP_2022-11-24_final.stac-item
2022-12-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2022-12-01_final.stac-item
2022-12-31 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2022-12-31_final.stac-item
2023-01-17 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-01-17_final.stac-item
2023-01-30 11:33:36	ga_s2am_ard_3-2-1_51KXR_2023-01-30_final.stac-item
2023-02-06 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-02-06_final
2023-05-03 11:43:04	ga_s2am_ard_3-2-1_50KRD_2023-05-03_final
2023-08-07 12:04:03	ga_s2am_ard_3-2-1_50KKA_2023-08-07_final
2023-11-16 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-11-16_final
2023-11-26 11:37:15	ga_s2am_ard_3-2-1_50HPG_2023-11-26_final
2023-12-06 11:33:06	ga_s2am_ard_3-2-1_51KWT_2023-12-06_final
2023-12-06 11:34:08	ga_s2am_ard_3-2-1_51KVP_2023-12-06_final
2023-12-06 11:34:30	ga_s2am_ard_3-2-1_51JTN_2023-12-06_final
2024-01-05 11:32:55	ga_s2am_ard_3-2-1_51KWU_2024-01-05_final
2024-01-08 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2024-01-08_final
2024-01-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2024-01-15_final
2024-01-18 11:43:16	ga_s2am_ard_3-2-1_51KVS_2024-01-18_final
2024-01-25 11:33:17	ga_s2am_ard_3-2-1_51KXS_2024-01-25_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

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