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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVL_2016-06-05_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUC_2016-06-12_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_51HYD_2016-06-19_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JQL_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPJ_2016-08-04_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HXD_2016-12-26_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUP_2017-01-14_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KXT_2017-01-18_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQH_2017-01-31_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-04-15_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51KYR_2017-06-27_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQQ_2017-08-12_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51JTK_2017-08-12_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JWN_2017-11-07_final.stac-item
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HYD_2017-11-21_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JQQ_2018-02-08_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HYE_2018-03-11_final.stac-item
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KXU_2018-03-27_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51JVG_2018-03-27_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JNQ_2018-06-18_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVF_2018-08-04_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50JQL_2018-08-14_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51HTC_2018-10-03_final.stac-item
2019-03-02 11:33:22	ga_s2am_ard_3-2-1_51KWS_2019-03-02_final.stac-item
2019-03-25 11:44:22	ga_s2am_ard_3-2-1_50KPU_2019-03-25_final.stac-item
2019-04-10 12:04:06	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-05-04 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-05-04_final.stac-item
2019-05-27 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-05-27_final.stac-item
2019-06-17 11:25:09	ga_s2am_ard_3-2-1_51JYK_2019-06-17_final.stac-item
2019-07-24 11:16:42	ga_s2am_ard_3-2-1_51HYD_2019-07-24_final.stac-item
2019-07-30 11:34:15	ga_s2am_ard_3-2-1_51KWP_2019-07-30_final.stac-item
2019-10-14 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-10-14_final.stac-item
2019-10-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-10-18_final.stac-item
2020-01-08 12:15:07	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final.stac-item
2020-01-09 11:44:58	ga_s2am_ard_3-2-1_50JQR_2020-01-09_final.stac-item
2020-01-16 11:33:17	ga_s2am_ard_3-2-1_51KXS_2020-01-16_final.stac-item
2020-02-11 11:57:02	ga_s2am_ard_3-2-1_50HLH_2020-02-11_final.stac-item
2020-03-03 11:23:20	ga_s2am_ard_3-2-1_51KYS_2020-03-03_final.stac-item
2020-03-16 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-16_final.stac-item
2020-04-24 12:05:53	ga_s2am_ard_3-2-1_50JLN_2020-04-24_final.stac-item
2020-04-25 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2020-04-25_final.stac-item
2020-04-25 11:36:19	ga_s2am_ard_3-2-1_51JTF_2020-04-25_final.stac-item
2020-05-09 11:16:45	ga_s2am_ard_3-2-1_51HXD_2020-05-09_final.stac-item
2020-07-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-07-23_final.stac-item
2020-08-03 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-08-03_final.stac-item
2020-08-06 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-06_final.stac-item
2020-08-09 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-08-09_final.stac-item
2020-10-22 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-10-22_final.stac-item
2020-12-11 11:32:04	ga_s2am_ard_3-2-1_51KYB_2020-12-11_final.stac-item
2020-12-11 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-12-11_final.stac-item
2021-01-10 11:36:15	ga_s2am_ard_3-2-1_51JUF_2021-01-10_final.stac-item
2021-01-30 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-30_final.stac-item
2021-02-02 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-02-02_final.stac-item
2021-02-02 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-02-02_final.stac-item
2021-02-03 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-02-03_final.stac-item
2021-05-04 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-05-04_final.stac-item
2021-08-18 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-08-18_final.stac-item
2021-10-19 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2021-10-19_final.stac-item
2021-10-27 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-27_final.stac-item
2022-01-25 11:32:40	ga_s2am_ard_3-2-1_51KXV_2022-01-25_final.stac-item
2022-03-03 11:23:26	ga_s2am_ard_3-2-1_51KXS_2022-03-03_final.stac-item
2022-03-16 11:33:20	ga_s2am_ard_3-2-1_51KVT_2022-03-16_final.stac-item
2022-03-29 11:46:32	ga_s2am_ard_3-2-1_50HQK_2022-03-29_final.stac-item
2022-04-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-04-04_final.stac-item
2022-04-12 11:25:44	ga_s2am_ard_3-2-1_51JWH_2022-04-12_final.stac-item
2022-05-18 11:43:56	ga_s2am_ard_3-2-1_50KQA_2022-05-18_final.stac-item
2022-05-28 11:44:06	ga_s2am_ard_3-2-1_51KUQ_2022-05-28_final.stac-item
2022-05-31 11:55:03	ga_s2am_ard_3-2-1_50JMS_2022-05-31_final.stac-item
2022-06-03 12:06:18	ga_s2am_ard_3-2-1_50JKM_2022-06-03_final.stac-item
2022-06-04 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-06-04_final.stac-item
2022-06-17 11:45:11	ga_s2am_ard_3-2-1_51JTL_2022-06-17_final.stac-item
2022-06-24 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-06-24_final.stac-item
2022-07-21 11:27:10	ga_s2am_ard_3-2-1_51HVC_2022-07-21_final.stac-item
2022-08-16 11:46:03	ga_s2am_ard_3-2-1_50JPN_2022-08-16_final.stac-item
2022-08-20 11:23:13	ga_s2am_ard_3-2-1_51KXU_2022-08-20_final.stac-item
2022-08-26 11:43:24	ga_s2am_ard_3-2-1_51KVT_2022-08-26_final
2022-08-26 11:43:31	ga_s2am_ard_3-2-1_51KTT_2022-08-26_final.stac-item
2022-09-14 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-09-14_final.stac-item
2022-10-02 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-10-02_final.stac-item
2022-10-08 13:31:41	ga_s2am_ard_3-2-1_46LHN_2022-10-08_interim
2022-10-29 11:26:47	ga_s2am_ard_3-2-1_51HVD_2022-10-29_final.stac-item
2022-11-11 11:35:51	ga_s2am_ard_3-2-1_51JTH_2022-11-11_final.stac-item
2022-11-21 11:32:41	ga_s2am_ard_3-2-1_51KXV_2022-11-21_final.stac-item
2022-12-18 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2022-12-18_final.stac-item
2023-01-17 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2023-01-17_final.stac-item
2023-04-13 11:43:22	ga_s2am_ard_3-2-1_50KQC_2023-04-13_final
2023-05-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-06_final
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_50JKT_2023-06-18_final
2023-08-14 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-08-14_nrt
2023-09-13 11:56:12	ga_s2am_ard_3-2-1_50JMM_2023-09-13_final
2023-09-23 11:56:13	ga_s2am_ard_3-2-1_50JLM_2023-09-23_final
2023-11-18 12:15:17	ga_s2am_ard_3-2-1_49JGK_2023-11-18_final
2023-11-25 12:06:04	ga_s2am_ard_3-2-1_50JKM_2023-11-25_final
2024-02-24 11:36:27	ga_s2am_ard_3-2-1_51HUE_2024-02-24_final
2024-03-09 11:16:23	ga_s2am_ard_3-2-1_51HYE_2024-03-09_final
2024-03-12 11:24:37	ga_s2am_ard_3-2-1_51JYM_2024-03-12_final
2024-03-15 11:36:17	ga_s2am_ard_3-2-1_51JTF_2024-03-15_final
2024-03-19 11:15:08	ga_s2am_ard_3-2-1_51JYK_2024-03-19_final
2024-04-11 11:26:23	ga_s2am_ard_3-2-1_51HXE_2024-04-11_final
2024-04-20 11:57:18	ga_s2am_ard_3-2-1_49HGC_2024-04-20_nrt

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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