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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGQ_2015-10-08_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVL_2016-01-07_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGM_2016-02-08_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JXN_2016-05-16_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQM_2016-07-08_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HUC_2016-07-22_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JXF_2016-07-29_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KVA_2016-10-16_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KQV_2016-12-05_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KMC_2017-01-30_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JUL_2017-04-21_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51HUC_2017-05-18_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQJ_2018-01-06_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KUR_2018-04-26_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KGQ_2018-05-08_final.stac-item
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUV_2018-05-09_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUC_2018-05-26_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51JVM_2018-06-25_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final.stac-item
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51HVC_2018-08-01_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQC_2018-08-10_final.stac-item
2018-11-08 11:53:27	ga_s2am_ard_3-2-1_50KQB_2018-11-08_final.stac-item
2018-11-25 11:42:20	ga_s2am_ard_3-2-1_51KVA_2018-11-25_final.stac-item
2018-12-19 11:26:53	ga_s2am_ard_3-2-1_51HUC_2018-12-19_final.stac-item
2018-12-22 11:33:22	ga_s2am_ard_3-2-1_51KVS_2018-12-22_final.stac-item
2019-02-06 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-02-06_final.stac-item
2019-03-14 12:13:54	ga_s2am_ard_3-2-1_49KGR_2019-03-14_final.stac-item
2019-04-14 11:43:38	ga_s2am_ard_3-2-1_51KVR_2019-04-14_final.stac-item
2019-06-10 11:32:31	ga_s2am_ard_3-2-1_51KWA_2019-06-10_final.stac-item
2019-06-13 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-06-13_final.stac-item
2019-06-19 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-06-19_final.stac-item
2019-06-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-06-29_final.stac-item
2019-06-30 11:36:47	ga_s2am_ard_3-2-1_51HUD_2019-06-30_final.stac-item
2019-07-13 11:42:26	ga_s2am_ard_3-2-1_51KWA_2019-07-13_final.stac-item
2019-08-09 11:33:52	ga_s2am_ard_3-2-1_51KUR_2019-08-09_final.stac-item
2019-09-01 11:43:25	ga_s2am_ard_3-2-1_51KVS_2019-09-01_final.stac-item
2019-10-18 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-10-18_final.stac-item
2019-10-28 11:34:28	ga_s2am_ard_3-2-1_51JWN_2019-10-28_final.stac-item
2019-11-03 11:53:24	ga_s2am_ard_3-2-1_50KPC_2019-11-03_final.stac-item
2019-11-17 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-11-17_final.stac-item
2019-12-17 11:32:57	ga_s2am_ard_3-2-1_51KVU_2019-12-17_final.stac-item
2020-01-23 11:26:47	ga_s2am_ard_3-2-1_51HUC_2020-01-23_final.stac-item
2020-02-07 12:13:50	ga_s2am_ard_3-2-1_49KGR_2020-02-07_final.stac-item
2020-02-08 11:43:43	ga_s2am_ard_3-2-1_50KQA_2020-02-08_final.stac-item
2020-03-19 11:44:12	ga_s2am_ard_3-2-1_51KTP_2020-03-19_final.stac-item
2020-10-12 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-10-12_final.stac-item
2020-11-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2020-11-07_final.stac-item
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final.stac-item
2020-11-21 11:33:04	ga_s2am_ard_3-2-1_51KVU_2020-11-21_final.stac-item
2020-11-21 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2020-11-21_final.stac-item
2020-11-27 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-11-27_final.stac-item
2020-12-04 11:43:13	ga_s2am_ard_3-2-1_51KUT_2020-12-04_final.stac-item
2020-12-14 11:46:27	ga_s2am_ard_3-2-1_50HQK_2020-12-14_final.stac-item
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final.stac-item
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-02-28_final.stac-item
2021-05-13 11:42:45	ga_s2am_ard_3-2-1_51KUV_2021-05-13_final.stac-item
2021-06-22 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-06-22_final.stac-item
2021-07-25 11:54:44	ga_s2am_ard_3-2-1_50JMT_2021-07-25_final.stac-item
2021-08-20 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-08-20_final.stac-item
2021-09-26 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-09-26_final.stac-item
2021-10-06 12:03:28	ga_s2am_ard_3-2-1_50KMC_2021-10-06_final.stac-item
2021-10-17 11:32:38	ga_s2am_ard_3-2-1_51KVA_2021-10-17_final.stac-item
2021-12-06 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2021-12-06_final.stac-item
2021-12-29 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final.stac-item
2022-01-11 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-01-11_final.stac-item
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final.stac-item
2022-03-08 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-03-08_final.stac-item
2022-04-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2022-04-27_final.stac-item
2022-04-28 11:42:14	ga_s2am_ard_3-2-1_51KWB_2022-04-28_final.stac-item
2022-04-29 11:16:13	ga_s2am_ard_3-2-1_51JYF_2022-04-29_final.stac-item
2022-05-15 11:32:19	ga_s2am_ard_3-2-1_51KWB_2022-05-15_final.stac-item
2022-05-28 11:43:29	ga_s2am_ard_3-2-1_50KQC_2022-05-28_final.stac-item
2022-06-20 11:54:31	ga_s2am_ard_3-2-1_50KPU_2022-06-20_final.stac-item
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final.stac-item
2022-08-10 11:26:44	ga_s2am_ard_3-2-1_51HUE_2022-08-10_final.stac-item
2022-08-16 11:42:26	ga_s2am_ard_3-2-1_51KVB_2022-08-16_final.stac-item
2022-08-19 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-08-19_final.stac-item
2022-10-05 11:46:41	ga_s2am_ard_3-2-1_50HPK_2022-10-05_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-12-15 11:14:35	ga_s2am_ard_3-2-1_51JZM_2022-12-15_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-01-09_final.stac-item
2023-01-13 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-01-13_final.stac-item
2023-02-19 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2023-02-19_final
2023-05-13 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-05-13_final
2023-06-19 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-06-19_final
2023-06-29 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-06-29_final
2023-07-22 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-07-22_final
2023-07-23 11:16:12	ga_s2am_ard_3-2-1_51JYF_2023-07-23_final
2023-08-04 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-04_final
2023-08-07 12:04:18	ga_s2am_ard_3-2-1_50KKV_2023-08-07_final
2023-08-14 11:53:16	ga_s2am_ard_3-2-1_50KRC_2023-08-14_final
2023-09-14 11:26:40	ga_s2am_ard_3-2-1_51HXD_2023-09-14_final
2023-10-23 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-10-23_final
2023-11-29 11:46:29	ga_s2am_ard_3-2-1_50HNK_2023-11-29_final
2023-12-29 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-12-29_final
2024-01-25 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2024-01-25_final
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_50KNA_2024-02-03_final
2024-05-16 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-05-16_final
2024-05-27 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2024-05-27_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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