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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGM_2016-01-06_final.stac-item
2016-01-18 11:00:37	ga_s2am_ard_3-2-1_52LHM_2016-01-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51LUE_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVU_2016-06-05_final
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KVB_2016-10-16_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50KPC_2017-06-26_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUT_2017-07-10_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_50KKA_2017-11-29_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVS_2017-12-17_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQL_2017-12-26_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWS_2018-01-06_final.stac-item
2018-02-10 10:43:02	ga_s2am_ard_3-2-1_53JPL_2018-02-10_final.stac-item
2018-03-26 10:17:04	ga_s2am_ard_3-2-1_53HQC_2018-03-26_final.stac-item
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KWS_2018-04-16_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53JNK_2018-04-28_final.stac-item
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KWA_2018-05-16_final.stac-item
2018-06-14 10:17:05	ga_s2am_ard_3-2-1_53HNC_2018-06-14_final.stac-item
2018-06-20 10:40:49	ga_s2am_ard_3-2-1_53JKF_2018-06-20_final.stac-item
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_53HPC_2018-06-27_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWQ_2018-07-05_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPH_2018-08-04_final.stac-item
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_53JQL_2018-08-13_final.stac-item
2018-09-15 10:27:04	ga_s2am_ard_3-2-1_53HLE_2018-09-15_final.stac-item
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_52KCB_2018-09-17_final.stac-item
2018-09-27 11:07:08	ga_s2am_ard_3-2-1_52LEJ_2018-09-27_final.stac-item
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52LHN_2018-10-27_final.stac-item
2018-12-11 10:26:28	ga_s2am_ard_3-2-1_53HPC_2018-12-11_final.stac-item
2018-12-22 11:32:53	ga_s2am_ard_3-2-1_51KVU_2018-12-22_final.stac-item
2018-12-26 11:13:47	ga_s2am_ard_3-2-1_52KBV_2018-12-26_final.stac-item
2018-12-29 11:23:36	ga_s2am_ard_3-2-1_51KXR_2018-12-29_final.stac-item
2019-01-21 11:32:29	ga_s2am_ard_3-2-1_51KVA_2019-01-21_final.stac-item
2019-04-08 11:23:37	ga_s2am_ard_3-2-1_51KZR_2019-04-08_final.stac-item
2019-04-20 10:26:25	ga_s2am_ard_3-2-1_53HPD_2019-04-20_final.stac-item
2019-06-09 10:26:20	ga_s2am_ard_3-2-1_53HQD_2019-06-09_final.stac-item
2019-06-10 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-06-10_final.stac-item
2019-07-07 11:23:55	ga_s2am_ard_3-2-1_52KBV_2019-07-07_final.stac-item
2019-07-17 11:23:40	ga_s2am_ard_3-2-1_52KBA_2019-07-17_final.stac-item
2019-08-03 11:13:34	ga_s2am_ard_3-2-1_52KEA_2019-08-03_final.stac-item
2019-10-12 11:15:55	ga_s2am_ard_3-2-1_52JBM_2019-10-12_final.stac-item
2019-11-27 11:33:22	ga_s2am_ard_3-2-1_51KUT_2019-11-27_final.stac-item
2019-12-27 11:34:12	ga_s2am_ard_3-2-1_51KUP_2019-12-27_final.stac-item
2020-01-03 11:23:34	ga_s2am_ard_3-2-1_51KYR_2020-01-03_final.stac-item
2020-01-13 11:21:18	ga_s2am_ard_3-2-1_52LBK_2020-01-13_final.stac-item
2020-03-13 11:26:58	ga_s2am_ard_3-2-1_51HUC_2020-03-13_final.stac-item
2020-04-07 10:36:22	ga_s2am_ard_3-2-1_53HMD_2020-04-07_final.stac-item
2020-06-21 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-06-21_final.stac-item
2020-07-04 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-07-04_final.stac-item
2020-09-01 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-09-01_final.stac-item
2020-09-21 10:26:59	ga_s2am_ard_3-2-1_53HNB_2020-09-21_final.stac-item
2020-10-09 11:23:12	ga_s2am_ard_3-2-1_51KZT_2020-10-09_final.stac-item
2020-12-01 11:33:01	ga_s2am_ard_3-2-1_51KVU_2020-12-01_final.stac-item
2020-12-10 12:03:16	ga_s2am_ard_3-2-1_50KNC_2020-12-10_final.stac-item
2020-12-21 11:36:56	ga_s2am_ard_3-2-1_51HUC_2020-12-21_final.stac-item
2020-12-27 11:53:10	ga_s2am_ard_3-2-1_50KRC_2020-12-27_final.stac-item
2021-02-09 11:33:00	ga_s2am_ard_3-2-1_51KVU_2021-02-09_final.stac-item
2021-03-11 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-03-11_final.stac-item
2021-03-31 11:33:06	ga_s2am_ard_3-2-1_51KXT_2021-03-31_final.stac-item
2021-04-02 10:36:07	ga_s2am_ard_3-2-1_53HME_2021-04-02_final.stac-item
2021-04-17 11:23:37	ga_s2am_ard_3-2-1_51KXR_2021-04-17_final.stac-item
2021-04-23 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-04-23_final.stac-item
2021-04-27 11:23:10	ga_s2am_ard_3-2-1_51KXT_2021-04-27_final.stac-item
2021-06-09 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-09_final.stac-item
2021-06-21 10:35:02	ga_s2am_ard_3-2-1_53JQJ_2021-06-21_final.stac-item
2021-06-22 11:41:34	ga_s2am_ard_3-2-1_51LUE_2021-06-22_final.stac-item
2021-07-14 10:45:58	ga_s2am_ard_3-2-1_53JLF_2021-07-14_final.stac-item
2021-07-16 11:23:39	ga_s2am_ard_3-2-1_51KZR_2021-07-16_final.stac-item
2021-08-03 10:45:58	ga_s2am_ard_3-2-1_53JLF_2021-08-03_final.stac-item
2021-08-18 11:33:36	ga_s2am_ard_3-2-1_51KUS_2021-08-18_final.stac-item
2021-10-21 11:14:00	ga_s2am_ard_3-2-1_52KBV_2021-10-21_final.stac-item
2021-11-19 11:42:17	ga_s2am_ard_3-2-1_51KUB_2021-11-19_final
2021-11-26 11:34:17	ga_s2am_ard_3-2-1_51KUP_2021-11-26_final.stac-item
2022-03-16 11:33:46	ga_s2am_ard_3-2-1_51KWR_2022-03-16_final.stac-item
2022-03-22 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-03-22_final.stac-item
2022-04-21 11:53:15	ga_s2am_ard_3-2-1_50KRC_2022-04-21_final.stac-item
2022-05-10 10:44:25	ga_s2am_ard_3-2-1_53JNM_2022-05-10_final.stac-item
2022-05-17 10:34:30	ga_s2am_ard_3-2-1_53JNM_2022-05-17_final.stac-item
2022-07-08 11:13:28	ga_s2am_ard_3-2-1_52KEB_2022-07-08_final.stac-item
2022-07-25 11:03:59	ga_s2am_ard_3-2-1_52KEV_2022-07-25_final.stac-item
2022-11-10 12:05:41	ga_s2am_ard_3-2-1_50JLP_2022-11-10_final.stac-item
2022-11-18 11:23:41	ga_s2am_ard_3-2-1_51KYR_2022-11-18_final.stac-item
2022-11-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2022-11-25_final.stac-item
2022-12-25 11:12:48	ga_s2am_ard_3-2-1_52KDD_2022-12-25_final.stac-item
2023-02-09 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-02-09_final.stac-item
2023-06-08 10:26:50	ga_s2am_ard_3-2-1_53HQB_2023-06-08_final
2023-06-16 11:24:09	ga_s2am_ard_3-2-1_52KBU_2023-06-16_final
2023-06-22 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-06-22_final
2023-08-01 11:43:17	ga_s2am_ard_3-2-1_51KVT_2023-08-01_final
2023-08-15 11:23:55	ga_s2am_ard_3-2-1_52KBV_2023-08-15_final
2023-08-18 11:33:33	ga_s2am_ard_3-2-1_51KWS_2023-08-18_final
2023-12-15 12:05:37	ga_s2am_ard_3-2-1_50JKP_2023-12-15_final
2024-02-18 11:11:17	ga_s2am_ard_3-2-1_52LEK_2024-02-18_final
2024-02-28 11:11:01	ga_s2am_ard_3-2-1_52LFL_2024-02-28_final
2024-03-09 11:14:24	ga_s2am_ard_3-2-1_51JZN_2024-03-09_final
2024-04-10 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-04-10_final
2024-04-19 10:46:24	ga_s2am_ard_3-2-1_53HMD_2024-04-19_final
2024-04-24 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2024-04-24_final
2024-04-26 10:36:23	ga_s2am_ard_3-2-1_53HND_2024-04-26_final
2024-04-27 11:42:48	ga_s2am_ard_3-2-1_51KUV_2024-04-27_final
2024-04-28 11:13:32	ga_s2am_ard_3-2-1_52KEA_2024-04-28_final
2024-05-23 10:25:04	ga_s2am_ard_3-2-1_53JQJ_2024-05-23_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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