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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKS_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQK_2016-05-16_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLN_2016-07-01_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50JLL_2016-11-08_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNK_2016-11-15_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2016-11-24_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNH_2016-12-15_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-04-10_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JKM_2017-06-06_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLM_2017-08-25_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMH_2017-10-24_final.stac-item
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGN_2017-10-27_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-11-26_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGR_2017-11-29_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KGP_2018-01-28_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-02-27_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-03-06_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMH_2018-03-13_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNJ_2018-03-30_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-08_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-06-17_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-06-27_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-10-02_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMJ_2018-10-29_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLL_2018-10-29_final.stac-item
2018-11-21 12:05:57	ga_s2am_ard_3-2-1_50JLM_2018-11-21_final.stac-item
2018-12-21 12:05:56	ga_s2am_ard_3-2-1_50JLM_2018-12-21_final.stac-item
2019-01-07 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-01-07_final.stac-item
2019-01-27 11:55:53	ga_s2am_ard_3-2-1_50JLN_2019-01-27_final.stac-item
2019-01-27 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2019-01-27_final.stac-item
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final.stac-item
2019-04-27 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-04-27_final.stac-item
2019-05-11 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-05-11_final.stac-item
2019-06-02 12:15:02	ga_s2am_ard_3-2-1_49JFM_2019-06-02_final.stac-item
2019-06-03 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-06-03_final.stac-item
2019-07-03 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-03_final.stac-item
2019-08-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-08-11_final.stac-item
2019-08-18 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-08-18_final.stac-item
2019-11-07 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-11-07_final.stac-item
2019-11-16 12:05:31	ga_s2am_ard_3-2-1_49JGK_2019-11-16_final.stac-item
2020-01-19 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-01-19_final.stac-item
2020-01-25 12:05:31	ga_s2am_ard_3-2-1_50JLP_2020-01-25_final.stac-item
2020-02-15 11:36:27	ga_s2am_ard_3-2-1_50HQK_2020-02-15_final.stac-item
2020-02-18 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2020-02-18_final.stac-item
2020-02-24 12:05:46	ga_s2am_ard_3-2-1_50JLN_2020-02-24_final.stac-item
2020-03-05 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final.stac-item
2020-04-14 12:05:14	ga_s2am_ard_3-2-1_49JGL_2020-04-14_final.stac-item
2020-04-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2020-04-18_final.stac-item
2020-06-17 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-06-17_final.stac-item
2020-07-27 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-07-27_final.stac-item
2020-07-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-30_final.stac-item
2020-10-31 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-10-31_final.stac-item
2020-11-21 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final.stac-item
2020-12-07 11:55:39	ga_s2am_ard_3-2-1_50JLP_2020-12-07_final.stac-item
2021-01-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-01-06_final.stac-item
2021-01-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-23_final.stac-item
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-03-30_final
2021-08-04 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-08-04_final.stac-item
2021-09-17 11:36:36	ga_s2am_ard_3-2-1_50HQK_2021-09-17_final.stac-item
2021-09-23 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-09-23_final.stac-item
2021-09-26 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-09-26_final.stac-item
2021-10-13 11:56:02	ga_s2am_ard_3-2-1_50JLN_2021-10-13_final.stac-item
2021-11-25 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-11-25_final.stac-item
2021-11-26 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-11-26_final.stac-item
2021-12-09 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-12-09_final.stac-item
2021-12-19 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-12-19_final.stac-item
2021-12-29 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-12-29_final.stac-item
2022-01-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-01-08_final.stac-item
2022-02-03 12:05:37	ga_s2am_ard_3-2-1_50JLP_2022-02-03_final.stac-item
2022-02-10 11:56:24	ga_s2am_ard_3-2-1_50JLL_2022-02-10_final.stac-item
2022-02-13 12:05:37	ga_s2am_ard_3-2-1_50JLP_2022-02-13_final.stac-item
2022-03-22 11:56:14	ga_s2am_ard_3-2-1_50JLM_2022-03-22_final.stac-item
2022-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-05-08_final.stac-item
2022-08-22 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-08-22_final.stac-item
2022-08-29 11:55:59	ga_s2am_ard_3-2-1_50JKP_2022-08-29_final.stac-item
2022-09-11 12:05:37	ga_s2am_ard_3-2-1_50JKQ_2022-09-11_final.stac-item
2022-09-28 11:55:49	ga_s2am_ard_3-2-1_50JLP_2022-09-28_final.stac-item
2022-10-18 13:31:41	ga_s2am_ard_3-2-1_47LKG_2022-10-18_interim
2022-10-24 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-10-24_final.stac-item
2022-12-23 12:13:56	ga_s2am_ard_3-2-1_49KGR_2022-12-23_final.stac-item
2023-01-06 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-01-06_final.stac-item
2023-02-19 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-02-19_nrt.stac-item
2023-02-19 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-02-19_final
2023-03-01 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-03-01_final
2023-04-06 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-04-06_final
2023-04-23 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-23_final
2023-06-12 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-06-12_final
2023-06-19 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-06-19_final
2023-07-18 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-07-18_final
2023-08-17 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2023-08-17_final
2023-09-26 12:04:45	ga_s2am_ard_3-2-1_50JKT_2023-09-26_final
2023-10-20 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-10-20_final
2023-12-16 11:36:30	ga_s2am_ard_3-2-1_50HQK_2023-12-16_final
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final
2024-02-20 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2024-02-20_final
2024-03-25 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-03-25_final
2024-04-04 11:37:14	ga_s2am_ard_3-2-1_50HQG_2024-04-04_final
2024-04-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2024-04-23_final
2024-05-14 11:36:41	ga_s2am_ard_3-2-1_50HPK_2024-05-14_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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