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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JFM_2015-09-11_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLJ_2015-11-14_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHN_2017-08-28_final.stac-item
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKT_2017-09-17_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMH_2018-03-30_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMK_2018-03-30_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKN_2018-04-02_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKP_2018-05-05_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLN_2018-05-22_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLP_2018-06-21_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGL_2018-06-24_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHR_2018-06-24_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPK_2018-07-05_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HNK_2018-07-18_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-28_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGN_2018-08-23_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLN_2018-10-09_final.stac-item
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKP_2018-10-29_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPK_2018-11-05_final.stac-item
2018-11-18 11:55:50	ga_s2am_ard_3-2-1_50JLN_2018-11-18_final.stac-item
2018-11-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-11-25_final.stac-item
2018-12-01 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-01_final.stac-item
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final.stac-item
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final.stac-item
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_50JKT_2018-12-21_final.stac-item
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final.stac-item
2019-05-30 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-05-30_final.stac-item
2019-06-22 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-06-22_final.stac-item
2019-11-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-11-30_final.stac-item
2020-01-02 11:57:04	ga_s2am_ard_3-2-1_50HLH_2020-01-02_final.stac-item
2020-02-28 11:46:29	ga_s2am_ard_3-2-1_50HPK_2020-02-28_final.stac-item
2020-04-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2020-04-25_final.stac-item
2020-07-14 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-07-14_final.stac-item
2020-07-23 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-23_final.stac-item
2020-08-22 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-22_final.stac-item
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final.stac-item
2020-10-28 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-28_final.stac-item
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final.stac-item
2021-01-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-01-03_final
2021-01-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-19_final.stac-item
2021-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-02-11_final.stac-item
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final.stac-item
2021-02-28 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-28_final.stac-item
2021-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-03-23_final.stac-item
2021-03-27 11:57:04	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final.stac-item
2021-03-31 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-03-31_final.stac-item
2021-04-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2021-04-23_final.stac-item
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final.stac-item
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final.stac-item
2021-04-29 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-04-29_final.stac-item
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_50JKS_2021-04-29_final.stac-item
2021-06-15 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-06-15_final.stac-item
2021-06-18 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-06-18_final.stac-item
2021-06-19 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-19_final.stac-item
2021-06-19 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-06-19_final
2021-07-05 11:55:44	ga_s2am_ard_3-2-1_50JLP_2021-07-05_final.stac-item
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final.stac-item
2021-07-08 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-07-08_final.stac-item
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final.stac-item
2021-07-11 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-07-11_final.stac-item
2021-07-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-07-25_final.stac-item
2021-08-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-08-08_final
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final.stac-item
2021-08-17 12:05:13	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final.stac-item
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final
2021-09-06 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-09-06_final.stac-item
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final.stac-item
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final.stac-item
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final.stac-item
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-10-31 12:06:04	ga_s2am_ard_3-2-1_50JKN_2022-10-31_final.stac-item
2022-11-20 12:05:56	ga_s2am_ard_3-2-1_50JKN_2022-11-20_final.stac-item
2023-01-20 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-01-20_final
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final
2023-05-20 11:36:56	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final
2023-05-29 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-05-29_final
2023-06-22 11:46:37	ga_s2am_ard_3-2-1_50HPK_2023-06-22_final
2023-07-08 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-08_final
2023-09-19 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-09-19_final
2023-09-26 12:03:47	ga_s2am_ard_3-2-1_49KHS_2023-09-26_final
2023-10-03 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-10-03_final
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2024-01-04_final
2024-03-08 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-08_final
2024-03-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-03-14_final
2024-03-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_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

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