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
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_52JGL_2016-04-01_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KWB_2016-04-06_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JUG_2016-05-23_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYS_2016-09-20_final.stac-item
2016-09-21 10:55:09	ga_s2am_ard_3-2-1_52JEM_2016-09-21_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KXS_2016-12-29_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KXR_2017-01-31_final.stac-item
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-21_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JNM_2017-05-27_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KWT_2017-08-19_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQP_2017-09-28_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51LZC_2017-09-28_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXS_2017-11-07_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KVT_2017-12-30_final.stac-item
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_51KYT_2018-07-15_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KTU_2018-08-27_final.stac-item
2018-09-13 11:26:17	ga_s2am_ard_3-2-1_51KVT_2018-09-13_final.stac-item
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KYU_2018-09-30_final.stac-item
2018-12-12 11:33:37	ga_s2am_ard_3-2-1_51KVR_2018-12-12_final.stac-item
2019-02-10 11:33:42	ga_s2am_ard_3-2-1_51KVR_2019-02-10_final.stac-item
2019-03-29 11:23:10	ga_s2am_ard_3-2-1_51KYT_2019-03-29_final.stac-item
2019-03-29 11:23:13	ga_s2am_ard_3-2-1_51KXT_2019-03-29_final.stac-item
2019-04-08 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2019-04-08_final.stac-item
2019-06-07 11:23:16	ga_s2am_ard_3-2-1_51KXT_2019-06-07_final.stac-item
2019-09-25 11:23:29	ga_s2am_ard_3-2-1_51KXS_2019-09-25_final.stac-item
2019-10-28 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-10-28_final.stac-item
2019-10-28 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-10-28_final.stac-item
2019-12-04 11:23:41	ga_s2am_ard_3-2-1_51KXR_2019-12-04_final.stac-item
2019-12-07 11:33:36	ga_s2am_ard_3-2-1_51KXR_2019-12-07_final.stac-item
2019-12-07 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2019-12-07_final.stac-item
2019-12-27 11:32:49	ga_s2am_ard_3-2-1_51KXU_2019-12-27_final.stac-item
2019-12-27 11:33:03	ga_s2am_ard_3-2-1_51KXT_2019-12-27_final.stac-item
2020-01-10 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-01-10_final.stac-item
2020-01-29 11:42:53	ga_s2am_ard_3-2-1_51KUU_2020-01-29_final.stac-item
2020-02-02 11:22:44	ga_s2am_ard_3-2-1_51KZU_2020-02-02_final.stac-item
2020-02-02 11:23:35	ga_s2am_ard_3-2-1_51KXR_2020-02-02_final.stac-item
2020-03-13 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-03-13_final.stac-item
2020-03-23 11:23:21	ga_s2am_ard_3-2-1_51KYS_2020-03-23_final.stac-item
2020-04-15 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-04-15_final.stac-item
2020-05-08 11:42:21	ga_s2am_ard_3-2-1_51KUB_2020-05-08_final
2020-06-14 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-06-14_final.stac-item
2020-06-24 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-06-24_final.stac-item
2020-09-09 11:23:17	ga_s2am_ard_3-2-1_51KXT_2020-09-09_final.stac-item
2020-09-12 11:33:40	ga_s2am_ard_3-2-1_51KVS_2020-09-12_final.stac-item
2020-10-09 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-10-09_final.stac-item
2020-10-29 11:23:33	ga_s2am_ard_3-2-1_51KXS_2020-10-29_final.stac-item
2020-11-18 11:24:58	ga_s2am_ard_3-2-1_51JXL_2020-11-18_final.stac-item
2020-11-21 11:34:20	ga_s2am_ard_3-2-1_51KUP_2020-11-21_final.stac-item
2021-01-17 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-01-17_final.stac-item
2021-04-03 11:42:42	ga_s2am_ard_3-2-1_51KUV_2021-04-03_final.stac-item
2021-04-03 11:43:26	ga_s2am_ard_3-2-1_51KUS_2021-04-03_final.stac-item
2021-04-14 11:14:17	ga_s2am_ard_3-2-1_51JZN_2021-04-14_final.stac-item
2021-04-30 11:33:39	ga_s2am_ard_3-2-1_51KWR_2021-04-30_final.stac-item
2021-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-05-10_final.stac-item
2021-05-10 11:33:37	ga_s2am_ard_3-2-1_51KXR_2021-05-10_final.stac-item
2021-05-27 11:24:05	ga_s2am_ard_3-2-1_51KZP_2021-05-27_final.stac-item
2021-07-19 11:34:19	ga_s2am_ard_3-2-1_51JXN_2021-07-19_final.stac-item
2021-07-26 11:23:25	ga_s2am_ard_3-2-1_51KZS_2021-07-26_final.stac-item
2021-08-28 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2021-08-28_final.stac-item
2021-11-06 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2021-11-06_final.stac-item
2021-11-16 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-11-16_final.stac-item
2021-11-26 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-11-26_final.stac-item
2021-12-19 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-12-19_final.stac-item
2021-12-23 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-12-23_final.stac-item
2022-02-24 11:33:33	ga_s2am_ard_3-2-1_51KVS_2022-02-24_final.stac-item
2022-03-25 12:05:43	ga_s2am_ard_3-2-1_50JKP_2022-03-25_final.stac-item
2022-04-12 11:23:32	ga_s2am_ard_3-2-1_51KXS_2022-04-12_final.stac-item
2022-04-25 11:33:14	ga_s2am_ard_3-2-1_51KXT_2022-04-25_final.stac-item
2022-05-02 11:23:18	ga_s2am_ard_3-2-1_51KXT_2022-05-02_final.stac-item
2022-05-28 11:42:53	ga_s2am_ard_3-2-1_51KUV_2022-05-28_final.stac-item
2022-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVR_2022-07-14_final.stac-item
2022-07-27 11:43:13	ga_s2am_ard_3-2-1_51KTU_2022-07-27_final.stac-item
2022-10-22 11:33:24	ga_s2am_ard_3-2-1_51KUT_2022-10-22_final.stac-item
2022-11-11 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-11-11_final.stac-item
2022-11-25 11:14:23	ga_s2am_ard_3-2-1_52JBT_2022-11-25_final.stac-item
2022-11-26 10:45:46	ga_s2am_ard_3-2-1_52JGM_2022-11-26_final.stac-item
2022-12-14 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-12-14_final.stac-item
2023-04-07 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2023-04-07_final
2023-05-10 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2023-05-10_final
2023-05-10 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-05-10_final
2023-05-20 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2023-05-20_final
2023-05-20 11:36:48	ga_s2am_ard_3-2-1_51HTD_2023-05-20_final
2023-05-27 11:22:59	ga_s2am_ard_3-2-1_51KYU_2023-05-27_final
2023-06-06 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-06-06_final
2023-07-09 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-09_final
2023-08-18 11:33:29	ga_s2am_ard_3-2-1_51KXS_2023-08-18_final
2023-08-28 11:33:29	ga_s2am_ard_3-2-1_51KXS_2023-08-28_final
2023-09-07 11:36:15	ga_s2am_ard_3-2-1_51JVF_2023-09-07_final
2023-10-21 11:16:59	ga_s2am_ard_3-2-1_51HWC_2023-10-21_final
2023-11-13 11:23:24	ga_s2am_ard_3-2-1_51KYS_2023-11-13_final
2023-11-26 11:33:10	ga_s2am_ard_3-2-1_51KVT_2023-11-26_final
2023-11-29 11:43:14	ga_s2am_ard_3-2-1_50KQC_2023-11-29_final
2023-12-03 11:23:06	ga_s2am_ard_3-2-1_51KXT_2023-12-03_final
2023-12-26 11:32:58	ga_s2am_ard_3-2-1_51KVU_2023-12-26_final
2024-01-29 11:13:35	ga_s2am_ard_3-2-1_51KZR_2024-01-29_final
2024-02-24 11:33:22	ga_s2am_ard_3-2-1_51KXS_2024-02-24_final
2024-03-18 11:43:15	ga_s2am_ard_3-2-1_51KUT_2024-03-18_final
2024-04-24 11:33:44	ga_s2am_ard_3-2-1_51KWR_2024-04-24_final
2024-05-01 11:23:38	ga_s2am_ard_3-2-1_51KZR_2024-05-01_final
2024-05-11 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2024-05-11_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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