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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51HUC_2015-12-08_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNN_2016-01-20_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYR_2016-01-24_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHM_2016-06-04_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KQU_2016-10-29_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HPH_2016-12-12_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVA_2016-12-22_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVS_2017-01-14_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVV_2017-01-14_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXJ_2017-03-19_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGN_2017-03-21_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50KLV_2017-04-20_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HQJ_2017-08-19_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JUH_2017-08-19_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JKN_2017-09-27_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVG_2017-12-04_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51KWQ_2017-12-04_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYH_2017-12-31_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JPS_2018-02-08_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGK_2018-04-18_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KLA_2018-04-25_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRU_2018-06-08_final.stac-item
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HYD_2018-08-18_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KVU_2018-09-26_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-10-12_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVT_2018-10-13_final.stac-item
2019-01-18 11:26:43	ga_s2am_ard_3-2-1_51HUD_2019-01-18_final.stac-item
2019-02-13 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-02-13_final.stac-item
2019-04-10 12:06:11	ga_s2am_ard_3-2-1_50JKM_2019-04-10_final.stac-item
2019-05-27 11:54:47	ga_s2am_ard_3-2-1_50JLT_2019-05-27_final.stac-item
2019-06-27 11:25:47	ga_s2am_ard_3-2-1_51JWH_2019-06-27_final.stac-item
2019-10-05 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-10-05_final.stac-item
2019-10-12 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-10-12_final.stac-item
2019-11-07 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-11-07_final.stac-item
2019-11-16 12:03:25	ga_s2am_ard_3-2-1_50KMC_2019-11-16_final.stac-item
2019-11-20 11:42:58	ga_s2am_ard_3-2-1_51KVU_2019-11-20_final.stac-item
2019-12-20 11:43:52	ga_s2am_ard_3-2-1_51KUQ_2019-12-20_final.stac-item
2020-01-03 11:26:09	ga_s2am_ard_3-2-1_51JVF_2020-01-03_final.stac-item
2020-01-06 11:33:03	ga_s2am_ard_3-2-1_51KXT_2020-01-06_final.stac-item
2020-02-11 11:56:29	ga_s2am_ard_3-2-1_50HMK_2020-02-11_final.stac-item
2020-02-21 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2020-02-21_final.stac-item
2020-03-13 11:24:37	ga_s2am_ard_3-2-1_51JXM_2020-03-13_final.stac-item
2020-03-23 11:25:49	ga_s2am_ard_3-2-1_51JXG_2020-03-23_final.stac-item
2020-04-05 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2020-04-05_final.stac-item
2020-04-18 11:43:18	ga_s2am_ard_3-2-1_51KTT_2020-04-18_final.stac-item
2020-04-22 11:23:11	ga_s2am_ard_3-2-1_51KYT_2020-04-22_final.stac-item
2020-04-25 11:35:21	ga_s2am_ard_3-2-1_51JTK_2020-04-25_final.stac-item
2020-07-01 11:23:33	ga_s2am_ard_3-2-1_51KXS_2020-07-01_final.stac-item
2020-08-12 12:03:39	ga_s2am_ard_3-2-1_50KNB_2020-08-12_final.stac-item
2020-08-30 11:24:10	ga_s2am_ard_3-2-1_51KXQ_2020-08-30_final.stac-item
2020-11-08 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2020-11-08_final.stac-item
2020-11-28 11:26:06	ga_s2am_ard_3-2-1_51JUG_2020-11-28_final.stac-item
2021-02-06 11:25:59	ga_s2am_ard_3-2-1_51JVG_2021-02-06_final.stac-item
2021-02-21 12:15:19	ga_s2am_ard_3-2-1_49JGK_2021-02-21_final.stac-item
2021-05-03 11:44:43	ga_s2am_ard_3-2-1_51JTM_2021-05-03_final.stac-item
2021-05-23 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-05-23_final.stac-item
2021-07-12 11:46:18	ga_s2am_ard_3-2-1_50JQL_2021-07-12_final.stac-item
2021-07-12 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-12_final.stac-item
2021-08-28 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-08-28_final.stac-item
2021-11-03 11:23:43	ga_s2am_ard_3-2-1_51KYR_2021-11-03_final.stac-item
2021-11-23 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-11-23_final.stac-item
2021-11-23 11:26:44	ga_s2am_ard_3-2-1_51HVD_2021-11-23_final.stac-item
2022-01-05 11:33:49	ga_s2am_ard_3-2-1_51KUR_2022-01-05_final.stac-item
2022-01-08 11:42:47	ga_s2am_ard_3-2-1_51KUV_2022-01-08_final.stac-item
2022-02-01 11:23:13	ga_s2am_ard_3-2-1_51KXT_2022-02-01_final.stac-item
2022-02-07 11:43:18	ga_s2am_ard_3-2-1_50KRC_2022-02-07_final.stac-item
2022-02-07 11:44:40	ga_s2am_ard_3-2-1_51JUM_2022-02-07_final.stac-item
2022-03-02 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-03-02_final.stac-item
2022-03-03 11:25:17	ga_s2am_ard_3-2-1_51JWK_2022-03-03_final.stac-item
2022-03-29 11:47:05	ga_s2am_ard_3-2-1_50HPH_2022-03-29_final.stac-item
2022-04-01 11:55:37	ga_s2am_ard_3-2-1_50JNP_2022-04-01_final.stac-item
2022-04-04 12:04:55	ga_s2am_ard_3-2-1_50JLS_2022-04-04_final.stac-item
2022-05-22 11:26:14	ga_s2am_ard_3-2-1_51JXF_2022-05-22_final.stac-item
2022-05-24 12:06:17	ga_s2am_ard_3-2-1_50JKM_2022-05-24_final.stac-item
2022-06-04 11:35:34	ga_s2am_ard_3-2-1_51JVJ_2022-06-04_final.stac-item
2022-06-11 11:26:06	ga_s2am_ard_3-2-1_51JWG_2022-06-11_final.stac-item
2022-06-24 11:36:44	ga_s2am_ard_3-2-1_51HTE_2022-06-24_final.stac-item
2022-08-02 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-08-02_final.stac-item
2022-09-15 11:47:01	ga_s2am_ard_3-2-1_50HNJ_2022-09-15_final.stac-item
2022-10-02 11:35:19	ga_s2am_ard_3-2-1_51JVK_2022-10-02_final.stac-item
2022-10-22 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-10-22_final.stac-item
2022-10-22 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-10-22_final.stac-item
2022-11-07 13:31:41	ga_s2am_ard_3-2-1_47LKG_2022-11-07_interim
2022-11-27 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-11-27_final.stac-item
2023-01-17 11:25:53	ga_s2am_ard_3-2-1_51JWG_2023-01-17_final.stac-item
2023-02-13 12:50:58	ga_s2am_ard_3-2-1_48LWP_2023-02-13_final
2023-02-23 11:16:34	ga_s2am_ard_3-2-1_51HYD_2023-02-23_final
2023-03-30 12:04:33	ga_s2am_ard_3-2-1_49KGP_2023-03-30_final
2023-05-13 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-05-13_final
2023-05-23 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-05-23_final
2023-05-30 11:36:18	ga_s2am_ard_3-2-1_51JUF_2023-05-30_final
2023-07-09 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-07-09_final
2023-11-26 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-11-26_final
2023-12-26 11:32:59	ga_s2am_ard_3-2-1_51KYT_2023-12-26_final
2023-12-29 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-12-29_final
2024-01-09 11:16:39	ga_s2am_ard_3-2-1_51HWD_2024-01-09_final
2024-03-08 11:44:51	ga_s2am_ard_3-2-1_50JQS_2024-03-08_final
2024-03-15 11:36:46	ga_s2am_ard_3-2-1_51HTD_2024-03-15_final
2024-03-19 11:16:37	ga_s2am_ard_3-2-1_51HYD_2024-03-19_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

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