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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JFM_2015-10-28_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGM_2016-02-15_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHQ_2016-03-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHQ_2016-04-15_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMH_2016-04-29_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKR_2016-10-22_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPK_2016-10-26_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKR_2017-06-09_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMH_2017-11-20_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2017-12-19_final.stac-item
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-12-29_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGP_2018-03-09_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLH_2018-04-02_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKM_2018-04-02_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2018-04-25_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGM_2018-05-25_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KGP_2018-05-25_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKR_2018-05-25_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-07-14_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-07-14_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JKN_2018-07-21_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-28_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKN_2018-08-10_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-09-12_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMK_2018-09-19_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HPK_2018-10-03_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-15_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-10-22_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQJ_2018-10-23_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQK_2018-10-23_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPK_2018-11-05_final.stac-item
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final.stac-item
2018-12-05 11:46:29	ga_s2am_ard_3-2-1_50HNK_2018-12-05_final.stac-item
2018-12-21 12:05:18	ga_s2am_ard_3-2-1_50JKQ_2018-12-21_final.stac-item
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final.stac-item
2019-01-14 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-01-14_final.stac-item
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final.stac-item
2019-02-26 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-02-26_final.stac-item
2019-05-04 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-05-04_final.stac-item
2019-06-16 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-06-16_final.stac-item
2019-11-13 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-11-13_final.stac-item
2020-02-11 11:57:02	ga_s2am_ard_3-2-1_50HLH_2020-02-11_final.stac-item
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final.stac-item
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final.stac-item
2020-03-19 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-03-19_final.stac-item
2020-04-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-04-14_final.stac-item
2020-10-25 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-10-25_final.stac-item
2020-11-24 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2020-11-24_final.stac-item
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final.stac-item
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final.stac-item
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final.stac-item
2021-01-09 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-01-09_final.stac-item
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final.stac-item
2021-02-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-15_final.stac-item
2021-03-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-03-10_final.stac-item
2021-03-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-03-14_final
2021-03-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-03-24_final.stac-item
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final.stac-item
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final.stac-item
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final.stac-item
2021-03-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-03-30_final.stac-item
2021-04-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-04-02_final.stac-item
2021-04-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2021-04-23_final.stac-item
2021-05-23 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-05-23_final.stac-item
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final
2021-06-25 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-06-25_final.stac-item
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final.stac-item
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final.stac-item
2021-08-01 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-01_final.stac-item
2021-08-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-14_final.stac-item
2021-08-17 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-08-17_final.stac-item
2021-08-21 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-21_final
2021-08-27 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-08-27_final.stac-item
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final.stac-item
2021-11-19 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-19_final.stac-item
2022-03-28 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-03-28_final.stac-item
2022-10-18 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-18_final.stac-item
2022-12-27 11:57:04	ga_s2am_ard_3-2-1_50HMH_2022-12-27_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-31_final
2023-09-10 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2023-09-10_final
2023-10-03 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-10-03_final
2023-11-02 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-11-02_final
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_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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