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_50KLC_2015-10-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKT_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMG_2015-12-21_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JMM_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLP_2016-04-02_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQL_2016-06-18_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLL_2016-07-01_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_50KKA_2016-08-16_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50JQM_2016-11-22_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JLN_2017-02-16_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLH_2017-04-07_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KKV_2017-04-10_final.stac-item
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JNL_2017-04-17_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-05-13_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JKT_2017-05-20_final.stac-item
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-31_final.stac-item
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JLM_2017-07-06_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGP_2017-09-10_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-10-07_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPR_2017-12-30_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHR_2018-01-05_final.stac-item
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPH_2018-01-26_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50JPL_2018-03-17_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JML_2018-05-02_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGM_2018-05-08_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-06-17_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-06-27_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQJ_2018-07-15_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JLL_2018-09-19_final.stac-item
2018-11-22 11:36:56	ga_s2am_ard_3-2-1_50HQH_2018-11-22_final.stac-item
2018-12-25 11:46:01	ga_s2am_ard_3-2-1_50JNM_2018-12-25_final.stac-item
2019-02-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2019-02-02_final.stac-item
2019-03-08 11:55:07	ga_s2am_ard_3-2-1_50JLR_2019-03-08_final.stac-item
2019-03-31 12:05:41	ga_s2am_ard_3-2-1_50JKP_2019-03-31_final.stac-item
2019-04-03 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-04-03_final.stac-item
2019-05-27 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-27_final.stac-item
2019-07-13 11:46:20	ga_s2am_ard_3-2-1_50JQL_2019-07-13_final.stac-item
2019-08-11 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-08-11_final.stac-item
2020-02-21 11:55:47	ga_s2am_ard_3-2-1_50JMN_2020-02-21_final.stac-item
2020-05-01 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-05-01_final.stac-item
2020-06-07 11:45:17	ga_s2am_ard_3-2-1_50JNR_2020-06-07_final.stac-item
2020-06-17 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-06-17_final.stac-item
2020-09-01 12:05:02	ga_s2am_ard_3-2-1_50JKS_2020-09-01_final.stac-item
2020-10-02 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-02_final.stac-item
2020-12-04 11:46:18	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final.stac-item
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final.stac-item
2021-02-02 11:44:46	ga_s2am_ard_3-2-1_50JQS_2021-02-02_final.stac-item
2021-02-18 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-18_final.stac-item
2021-03-13 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-13_final.stac-item
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_49JHN_2021-04-09_final.stac-item
2021-04-19 12:04:26	ga_s2am_ard_3-2-1_49KGP_2021-04-19_final.stac-item
2021-04-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2021-04-23_final.stac-item
2021-05-06 11:55:01	ga_s2am_ard_3-2-1_50JPR_2021-05-06_final.stac-item
2021-05-09 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-05-09_final.stac-item
2021-10-06 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-06_final.stac-item
2021-10-17 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2021-10-17_final.stac-item
2021-11-15 12:04:29	ga_s2am_ard_3-2-1_49KHP_2021-11-15_final.stac-item
2021-11-25 12:03:41	ga_s2am_ard_3-2-1_50KLB_2021-11-25_final.stac-item
2022-01-01 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-01-01_final.stac-item
2022-01-18 11:44:31	ga_s2am_ard_3-2-1_50JRT_2022-01-18_final.stac-item
2022-02-17 11:47:07	ga_s2am_ard_3-2-1_50HNH_2022-02-17_final.stac-item
2022-03-12 11:56:22	ga_s2am_ard_3-2-1_50JNL_2022-03-12_final.stac-item
2022-03-29 11:46:15	ga_s2am_ard_3-2-1_50JMM_2022-03-29_final.stac-item
2022-04-08 11:47:07	ga_s2am_ard_3-2-1_50HNH_2022-04-08_final.stac-item
2022-05-04 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2022-05-04_final.stac-item
2022-06-14 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-06-14_final.stac-item
2022-06-30 11:56:06	ga_s2am_ard_3-2-1_50JMN_2022-06-30_final.stac-item
2022-08-02 12:05:51	ga_s2am_ard_3-2-1_50JKP_2022-08-02_final.stac-item
2022-08-22 12:04:40	ga_s2am_ard_3-2-1_50KKU_2022-08-22_final.stac-item
2022-09-11 12:04:38	ga_s2am_ard_3-2-1_49KHP_2022-09-11_final.stac-item
2022-10-31 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-10-31_final.stac-item
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final.stac-item
2022-11-24 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-11-24_final.stac-item
2022-12-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-12-13_final.stac-item
2022-12-20 12:03:25	ga_s2am_ard_3-2-1_50KLC_2022-12-20_final.stac-item
2022-12-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-20_final.stac-item
2022-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2022-12-21_final.stac-item
2023-01-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-01-09_final.stac-item
2023-01-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2023-01-23_final.stac-item
2023-03-10 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-03-10_final
2023-06-25 11:56:39	ga_s2am_ard_3-2-1_50HMK_2023-06-25_final
2023-07-02 11:46:34	ga_s2am_ard_3-2-1_50HQK_2023-07-02_final
2023-07-08 12:05:43	ga_s2am_ard_3-2-1_50JLP_2023-07-08_final
2023-08-11 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2023-08-11_final
2023-09-10 11:46:10	ga_s2am_ard_3-2-1_50JPM_2023-09-10_final
2023-09-19 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-09-19_final
2023-10-20 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-10-20_final
2023-11-06 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-11-06_final
2023-12-05 12:05:57	ga_s2am_ard_3-2-1_50JLM_2023-12-05_final
2023-12-19 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-12-19_final
2023-12-26 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-12-26_final
2024-01-01 11:54:48	ga_s2am_ard_3-2-1_50JNS_2024-01-01_final
2024-01-18 11:46:28	ga_s2am_ard_3-2-1_50HNK_2024-01-18_final
2024-03-14 12:04:31	ga_s2am_ard_3-2-1_49KGP_2024-03-14_final
2024-03-24 12:05:16	ga_s2am_ard_3-2-1_49JGL_2024-03-24_final
2024-03-27 12:14:57	ga_s2am_ard_3-2-1_49JGM_2024-03-27_final
2024-03-31 11:55:59	ga_s2am_ard_3-2-1_50JKN_2024-03-31_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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