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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51KVB_2015-10-22_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGK_2016-01-26_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-07-14_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-08-26_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KLU_2016-10-02_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51HTC_2016-11-12_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KVU_2017-04-14_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51HUC_2017-06-27_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-07-09_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVV_2017-12-17_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KUU_2018-06-18_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-07-04_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTE_2018-07-05_final.stac-item
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51JVJ_2018-07-22_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final.stac-item
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51JYK_2018-08-11_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JML_2018-08-17_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KKA_2018-09-02_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGP_2018-09-05_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51JUN_2018-09-13_final.stac-item
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51JZM_2018-09-27_final.stac-item
2018-11-08 11:53:45	ga_s2am_ard_3-2-1_50KPA_2018-11-08_final.stac-item
2018-11-22 11:36:41	ga_s2am_ard_3-2-1_50HQJ_2018-11-22_final.stac-item
2018-12-21 12:05:43	ga_s2am_ard_3-2-1_50JLN_2018-12-21_final.stac-item
2019-01-03 12:13:34	ga_s2am_ard_3-2-1_50KKB_2019-01-03_final.stac-item
2019-04-20 12:03:59	ga_s2am_ard_3-2-1_50KLA_2019-04-20_final.stac-item
2019-05-24 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-05-24_final.stac-item
2019-06-30 11:36:51	ga_s2am_ard_3-2-1_51HTD_2019-06-30_final.stac-item
2019-08-19 11:32:32	ga_s2am_ard_3-2-1_51KWA_2019-08-19_final.stac-item
2019-08-31 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-08-31_final.stac-item
2020-02-09 11:16:15	ga_s2am_ard_3-2-1_51HYE_2020-02-09_final.stac-item
2020-03-13 11:24:28	ga_s2am_ard_3-2-1_51JZM_2020-03-13_final.stac-item
2020-03-18 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-18_final.stac-item
2020-04-14 12:04:45	ga_s2am_ard_3-2-1_49JGN_2020-04-14_final.stac-item
2020-04-21 11:53:25	ga_s2am_ard_3-2-1_50KNC_2020-04-21_final.stac-item
2020-05-05 11:32:50	ga_s2am_ard_3-2-1_51KVV_2020-05-05_final.stac-item
2020-05-08 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-05-08_final.stac-item
2020-05-12 11:25:18	ga_s2am_ard_3-2-1_51JWK_2020-05-12_final.stac-item
2020-06-14 11:32:53	ga_s2am_ard_3-2-1_51KVV_2020-06-14_final.stac-item
2020-06-14 11:34:38	ga_s2am_ard_3-2-1_51JUN_2020-06-14_final.stac-item
2020-06-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-06-30_final.stac-item
2020-07-27 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-07-27_final.stac-item
2020-08-03 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-08-03_final.stac-item
2020-08-25 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-08-25_final.stac-item
2020-09-15 11:42:17	ga_s2am_ard_3-2-1_51KVB_2020-09-15_final.stac-item
2020-10-01 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-01_final.stac-item
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-10-04_final.stac-item
2020-10-05 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-10-05_final.stac-item
2020-11-28 11:24:41	ga_s2am_ard_3-2-1_51JXM_2020-11-28_final.stac-item
2020-12-01 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2020-12-01_final.stac-item
2020-12-01 11:34:43	ga_s2am_ard_3-2-1_51JVM_2020-12-01_final.stac-item
2020-12-07 11:55:54	ga_s2am_ard_3-2-1_50JLN_2020-12-07_final.stac-item
2020-12-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-17_final.stac-item
2020-12-18 11:26:38	ga_s2am_ard_3-2-1_51HWD_2020-12-18_final.stac-item
2020-12-27 11:52:19	ga_s2am_ard_3-2-1_50KQG_2020-12-27_final
2021-01-16 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-01-16_final
2021-01-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-01-30_final
2021-02-05 11:54:54	ga_s2am_ard_3-2-1_50JMS_2021-02-05_final.stac-item
2021-02-05 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-05_final.stac-item
2021-02-21 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-02-21_final.stac-item
2021-03-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-03_final.stac-item
2021-04-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-04-30_final.stac-item
2021-05-06 11:57:04	ga_s2am_ard_3-2-1_50HMH_2021-05-06_final.stac-item
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final.stac-item
2021-07-02 11:45:48	ga_s2am_ard_3-2-1_50JQN_2021-07-02_final.stac-item
2021-08-28 11:33:03	ga_s2am_ard_3-2-1_51KVU_2021-08-28_final.stac-item
2021-09-30 11:47:21	ga_s2am_ard_3-2-1_50HPG_2021-09-30_final
2021-10-07 11:32:34	ga_s2am_ard_3-2-1_51KWA_2021-10-07_final.stac-item
2021-11-29 11:43:18	ga_s2am_ard_3-2-1_51KTT_2021-11-29_final.stac-item
2021-12-12 11:53:16	ga_s2am_ard_3-2-1_50KQC_2021-12-12_final.stac-item
2021-12-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-12-18_final.stac-item
2021-12-23 11:27:03	ga_s2am_ard_3-2-1_51HUC_2021-12-23_final.stac-item
2022-02-03 12:03:20	ga_s2am_ard_3-2-1_50KNC_2022-02-03_final.stac-item
2022-03-05 12:05:08	ga_s2am_ard_3-2-1_49JHM_2022-03-05_final.stac-item
2022-03-19 11:43:47	ga_s2am_ard_3-2-1_51KUR_2022-03-19_final.stac-item
2022-04-01 11:56:32	ga_s2am_ard_3-2-1_50HNK_2022-04-01_final.stac-item
2022-06-07 11:43:12	ga_s2am_ard_3-2-1_50KRD_2022-06-07_final.stac-item
2022-06-08 11:16:39	ga_s2am_ard_3-2-1_51HWE_2022-06-08_final.stac-item
2022-06-26 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-06-26_final.stac-item
2022-07-07 11:42:59	ga_s2am_ard_3-2-1_51KUV_2022-07-07_final.stac-item
2022-07-07 11:46:32	ga_s2am_ard_3-2-1_50JPL_2022-07-07_final.stac-item
2022-07-08 11:15:09	ga_s2am_ard_3-2-1_51JYL_2022-07-08_final.stac-item
2022-08-03 11:36:39	ga_s2am_ard_3-2-1_51HUE_2022-08-03_final.stac-item
2022-09-01 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-09-01_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-12-04 11:43:04	ga_s2am_ard_3-2-1_51KTU_2022-12-04_final.stac-item
2022-12-15 11:14:44	ga_s2am_ard_3-2-1_51JYM_2022-12-15_final.stac-item
2023-01-09 12:04:26	ga_s2am_ard_3-2-1_50KKU_2023-01-09_final.stac-item
2023-02-09 11:33:58	ga_s2am_ard_3-2-1_51KVQ_2023-02-09_final.stac-item
2023-02-16 11:25:06	ga_s2am_ard_3-2-1_51JXK_2023-02-16_final
2023-09-17 11:37:04	ga_s2am_ard_3-2-1_51HTC_2023-09-17_final
2023-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-20_final
2023-10-17 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-10-17_final
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_49KHR_2023-12-15_final
2023-12-19 11:44:09	ga_s2am_ard_3-2-1_51KUP_2023-12-19_final
2024-02-07 11:43:39	ga_s2am_ard_3-2-1_51KUR_2024-02-07_final
2024-03-18 11:44:02	ga_s2am_ard_3-2-1_50KRV_2024-03-18_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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