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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMK_2015-11-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLJ_2016-01-03_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKT_2016-04-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLP_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKQ_2016-09-02_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50JMM_2016-09-06_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JMR_2016-10-02_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMJ_2016-12-15_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-01-20_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLR_2017-01-20_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKM_2017-03-31_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-04-10_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGM_2017-06-02_final.stac-item
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-09_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGK_2017-06-19_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-09-14_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMH_2017-09-14_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMJ_2017-09-14_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLJ_2017-12-03_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMJ_2018-01-02_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLJ_2018-02-01_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLH_2018-03-03_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKM_2018-04-02_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLL_2018-05-02_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final.stac-item
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final.stac-item
2019-01-14 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-01-14_final.stac-item
2019-02-03 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2019-02-03_final.stac-item
2019-04-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-04-03_final.stac-item
2019-04-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-04-03_final.stac-item
2019-04-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-04-17_final.stac-item
2019-05-01 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-05-01_final.stac-item
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final.stac-item
2019-06-02 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-02_final.stac-item
2019-09-04 11:56:22	ga_s2am_ard_3-2-1_50JML_2019-09-04_final.stac-item
2019-09-11 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-09-11_final.stac-item
2019-09-27 12:04:55	ga_s2am_ard_3-2-1_50JLS_2019-09-27_final.stac-item
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final.stac-item
2019-10-04 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-10-04_final.stac-item
2019-10-11 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-11_final.stac-item
2019-11-10 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-11-10_final.stac-item
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final.stac-item
2020-01-19 11:47:00	ga_s2am_ard_3-2-1_50HNH_2020-01-19_final.stac-item
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-18 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final.stac-item
2020-02-21 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-02-21_final.stac-item
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final.stac-item
2020-04-01 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-04-01_final.stac-item
2020-04-01 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-04-01_final.stac-item
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_50JKS_2020-04-04_final.stac-item
2020-04-08 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2020-04-08_final.stac-item
2020-04-28 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2020-04-28_final.stac-item
2020-04-28 11:47:09	ga_s2am_ard_3-2-1_50HNH_2020-04-28_final.stac-item
2020-08-19 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-08-19_final.stac-item
2020-10-11 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-10-11_final.stac-item
2020-10-11 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-10-11_final.stac-item
2020-10-11 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-11_final.stac-item
2021-01-13 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-13_final.stac-item
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-01-19_final.stac-item
2021-02-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-15_final.stac-item
2021-02-22 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-22_final.stac-item
2021-03-07 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-03-07_final.stac-item
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_50JKT_2021-04-09_final.stac-item
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final.stac-item
2021-04-26 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-26_final.stac-item
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final.stac-item
2021-05-06 11:55:45	ga_s2am_ard_3-2-1_50JKP_2021-05-06_final.stac-item
2021-05-22 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-05-22_final.stac-item
2021-09-03 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-03_final.stac-item
2021-09-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-09-06_final.stac-item
2021-12-05 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-12-05_final.stac-item
2022-01-15 11:36:30	ga_s2am_ard_3-2-1_50HPK_2022-01-15_final.stac-item
2022-02-07 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-02-07_final.stac-item
2022-03-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-02_final.stac-item
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final.stac-item
2022-06-23 12:05:50	ga_s2am_ard_3-2-1_50JLP_2022-06-23_final.stac-item
2022-09-01 12:05:06	ga_s2am_ard_3-2-1_50JLS_2022-09-01_final.stac-item
2022-09-11 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-09-11_final.stac-item
2022-09-24 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-09-24_final.stac-item
2022-09-25 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-09-25_final.stac-item
2022-10-08 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-10-08_final.stac-item
2022-10-18 11:56:39	ga_s2am_ard_3-2-1_50HMK_2022-10-18_final.stac-item
2023-02-22 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-02-22_final
2023-04-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-03_final
2023-04-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-09_final
2023-06-12 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-06-12_final
2023-07-01 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-07-01_final
2023-09-03 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-09-03_final
2023-09-16 12:05:44	ga_s2am_ard_3-2-1_50JKP_2023-09-16_final
2023-10-23 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-10-23_final
2023-10-26 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-10-26_final
2023-12-05 12:05:22	ga_s2am_ard_3-2-1_49JGK_2023-12-05_final
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-12-25_final
2024-01-21 11:57:01	ga_s2am_ard_3-2-1_50HLH_2024-01-21_final
2024-01-31 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-31_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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