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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVU_2015-12-21_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51HVE_2016-01-14_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51JUF_2016-01-24_final.stac-item
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52KFE_2016-03-18_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_52LBK_2016-03-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KXU_2016-03-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52KEC_2016-03-28_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JXG_2016-04-10_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JFR_2016-04-14_final.stac-item
2016-04-17 11:02:12	ga_s2am_ard_3-2-1_52JDT_2016-04-17_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KXU_2016-04-23_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51LYC_2016-04-23_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JBM_2016-04-27_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQC_2016-04-29_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KCG_2016-04-30_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_51KYB_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JFR_2016-05-04_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JFT_2016-05-04_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-09_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53JKK_2016-05-11_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KXQ_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JUG_2016-05-23_final.stac-item
2016-05-27 11:00:46	ga_s2am_ard_3-2-1_52LGL_2016-05-27_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HQJ_2016-05-29_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KUV_2016-12-25_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KBV_2016-12-26_final.stac-item
2017-01-12 11:00:30	ga_s2am_ard_3-2-1_52LHL_2017-01-12_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUU_2017-02-03_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52LFK_2018-02-19_final.stac-item
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53JNM_2018-03-29_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JZN_2018-06-19_final.stac-item
2018-08-19 10:37:26	ga_s2am_ard_3-2-1_53JNM_2018-08-19_final.stac-item
2018-12-15 11:42:48	ga_s2am_ard_3-2-1_51KVU_2018-12-15_final.stac-item
2018-12-19 11:23:16	ga_s2am_ard_3-2-1_51KYS_2018-12-19_final.stac-item
2018-12-19 11:23:19	ga_s2am_ard_3-2-1_51KXS_2018-12-19_final.stac-item
2018-12-22 11:33:26	ga_s2am_ard_3-2-1_51KUS_2018-12-22_final.stac-item
2018-12-29 11:23:55	ga_s2am_ard_3-2-1_51KWQ_2018-12-29_final.stac-item
2019-01-01 11:33:17	ga_s2am_ard_3-2-1_51KXS_2019-01-01_final.stac-item
2019-02-10 11:33:27	ga_s2am_ard_3-2-1_51KVS_2019-02-10_final.stac-item
2019-02-10 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-02-10_final.stac-item
2019-05-16 10:44:24	ga_s2am_ard_3-2-1_53JNM_2019-05-16_final.stac-item
2019-06-13 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-06-13_final.stac-item
2019-06-20 11:33:20	ga_s2am_ard_3-2-1_51KVT_2019-06-20_final.stac-item
2019-12-07 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2019-12-07_final.stac-item
2019-12-30 11:42:51	ga_s2am_ard_3-2-1_51KVU_2019-12-30_final.stac-item
2020-01-13 11:23:19	ga_s2am_ard_3-2-1_51KYS_2020-01-13_final.stac-item
2020-02-08 11:43:17	ga_s2am_ard_3-2-1_51KVS_2020-02-08_final.stac-item
2020-03-29 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-29_final.stac-item
2020-07-11 11:23:10	ga_s2am_ard_3-2-1_52KBC_2020-07-11_final.stac-item
2020-07-23 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-07-23_final.stac-item
2020-09-17 10:44:25	ga_s2am_ard_3-2-1_53JNM_2020-09-17_final.stac-item
2020-11-08 11:23:32	ga_s2am_ard_3-2-1_51KXS_2020-11-08_final.stac-item
2020-11-11 11:33:02	ga_s2am_ard_3-2-1_51KWU_2020-11-11_final.stac-item
2020-11-18 11:23:31	ga_s2am_ard_3-2-1_51KXS_2020-11-18_final.stac-item
2020-11-21 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-11-21_final.stac-item
2020-12-01 11:33:27	ga_s2am_ard_3-2-1_51KWS_2020-12-01_final.stac-item
2020-12-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2020-12-01_final.stac-item
2021-01-03 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-01-03_final.stac-item
2021-04-02 10:34:29	ga_s2am_ard_3-2-1_53JQL_2021-04-02_final.stac-item
2021-05-23 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-05-23_final.stac-item
2021-07-09 11:33:33	ga_s2am_ard_3-2-1_51KVS_2021-07-09_final.stac-item
2021-07-12 11:43:18	ga_s2am_ard_3-2-1_51KUT_2021-07-12_final.stac-item
2021-07-22 11:43:28	ga_s2am_ard_3-2-1_51KVS_2021-07-22_final.stac-item
2021-08-28 11:33:18	ga_s2am_ard_3-2-1_51KVT_2021-08-28_final.stac-item
2021-09-17 11:36:12	ga_s2am_ard_3-2-1_51JVF_2021-09-17_final.stac-item
2021-11-07 11:00:48	ga_s2am_ard_3-2-1_52LHM_2021-11-07_final.stac-item
2021-11-10 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2021-11-10_final.stac-item
2021-11-20 11:13:33	ga_s2am_ard_3-2-1_52KDA_2021-11-20_final.stac-item
2021-12-26 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-12-26_final.stac-item
2022-01-05 11:34:19	ga_s2am_ard_3-2-1_51KUP_2022-01-05_final.stac-item
2022-02-13 10:25:05	ga_s2am_ard_3-2-1_53JQJ_2022-02-13_final.stac-item
2022-05-28 11:42:53	ga_s2am_ard_3-2-1_51KUV_2022-05-28_final.stac-item
2022-06-16 12:14:05	ga_s2am_ard_3-2-1_49KHR_2022-06-16_final.stac-item
2022-08-03 11:33:23	ga_s2am_ard_3-2-1_51KWT_2022-08-03_final.stac-item
2022-10-02 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-10-02_final.stac-item
2022-12-26 10:45:49	ga_s2am_ard_3-2-1_53JKG_2022-12-26_final.stac-item
2023-01-03 11:41:32	ga_s2am_ard_3-2-1_51LUE_2023-01-03_final.stac-item
2023-02-09 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-02-09_final.stac-item
2023-05-12 10:34:24	ga_s2am_ard_3-2-1_53JNM_2023-05-12_final
2023-06-30 11:04:04	ga_s2am_ard_3-2-1_52KFU_2023-06-30_final
2023-09-10 11:42:18	ga_s2am_ard_3-2-1_51KVB_2023-09-10_final
2023-09-11 11:14:12	ga_s2am_ard_3-2-1_52JET_2023-09-11_final
2023-09-19 10:34:28	ga_s2am_ard_3-2-1_53JNM_2023-09-19_final
2023-10-06 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2023-10-06_final
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final
2023-11-26 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2023-11-26_final
2023-12-10 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2023-12-10_final
2023-12-23 11:23:39	ga_s2am_ard_3-2-1_51KXR_2023-12-23_final
2023-12-26 11:33:27	ga_s2am_ard_3-2-1_51KVS_2023-12-26_final
2024-01-02 11:23:40	ga_s2am_ard_3-2-1_51KXR_2024-01-02_final
2024-01-08 11:43:14	ga_s2am_ard_3-2-1_51KUT_2024-01-08_final
2024-01-15 11:33:23	ga_s2am_ard_3-2-1_51KVS_2024-01-15_final
2024-02-03 10:24:40	ga_s2am_ard_3-2-1_53JQK_2024-02-03_final
2024-02-08 11:11:15	ga_s2am_ard_3-2-1_52LEK_2024-02-08_final
2024-02-18 11:10:30	ga_s2am_ard_3-2-1_52LFN_2024-02-18_final
2024-03-06 11:01:47	ga_s2am_ard_3-2-1_52LGH_2024-03-06_final
2024-03-09 11:13:08	ga_s2am_ard_3-2-1_52KCC_2024-03-09_final
2024-03-12 11:23:28	ga_s2am_ard_3-2-1_51KXS_2024-03-12_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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