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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGN_2015-12-27_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-25_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQJ_2016-11-12_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMK_2016-11-15_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HPH_2017-06-20_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-07-09_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGK_2017-08-08_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-09-07_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGN_2017-09-27_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHM_2017-09-27_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMK_2017-10-24_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGL_2018-01-28_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQH_2018-04-16_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-04-26_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGL_2018-05-15_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMJ_2018-05-22_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2018-06-28_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-07_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPK_2018-08-27_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HQJ_2018-08-27_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-09-02_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-15_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_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
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HQK_2018-10-26_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPJ_2018-11-02_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMK_2018-11-05_final.stac-item
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final.stac-item
2018-11-15 11:46:28	ga_s2am_ard_3-2-1_50HPK_2018-11-15_final.stac-item
2018-11-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-11-25_final.stac-item
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final.stac-item
2018-12-25 11:46:26	ga_s2am_ard_3-2-1_50HPK_2018-12-25_final.stac-item
2018-12-31 12:04:40	ga_s2am_ard_3-2-1_49JGN_2018-12-31_final.stac-item
2019-01-04 11:46:24	ga_s2am_ard_3-2-1_50HQK_2019-01-04_final.stac-item
2019-01-04 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-01-04_final.stac-item
2019-01-07 11:56:35	ga_s2am_ard_3-2-1_50HLK_2019-01-07_final.stac-item
2019-04-14 11:46:55	ga_s2am_ard_3-2-1_50HQH_2019-04-14_final.stac-item
2019-05-01 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-05-01_final.stac-item
2019-05-23 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-05-23_final.stac-item
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final.stac-item
2019-07-09 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-09_final.stac-item
2019-09-07 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-07_final.stac-item
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final.stac-item
2020-01-19 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-19_final.stac-item
2020-01-19 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-01-19_final.stac-item
2020-04-28 11:46:40	ga_s2am_ard_3-2-1_50HNK_2020-04-28_final.stac-item
2020-08-12 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-12_final.stac-item
2020-09-21 12:05:13	ga_s2am_ard_3-2-1_49JFM_2020-09-21_final.stac-item
2020-09-25 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-09-25_final.stac-item
2020-12-04 11:46:39	ga_s2am_ard_3-2-1_50HMK_2020-12-04_final.stac-item
2020-12-27 11:57:05	ga_s2am_ard_3-2-1_50HMH_2020-12-27_final.stac-item
2021-01-09 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-09_final.stac-item
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final.stac-item
2021-01-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-19_final.stac-item
2021-01-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-26_final
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final.stac-item
2021-03-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-14_final.stac-item
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final.stac-item
2021-03-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2021-03-24_final.stac-item
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final.stac-item
2021-04-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2021-04-19_final.stac-item
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final.stac-item
2021-04-30 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-04-30_final.stac-item
2021-05-03 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-05-03_final
2021-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-05-09_final.stac-item
2021-05-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-05-12_final.stac-item
2021-05-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-05-22_final.stac-item
2021-05-23 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-05-23_final.stac-item
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final.stac-item
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final.stac-item
2021-07-31 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-31_final.stac-item
2021-08-27 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-08-27_final.stac-item
2021-10-17 11:37:23	ga_s2am_ard_3-2-1_50HQG_2021-10-17_final
2021-11-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-11-19_final
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final.stac-item
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final.stac-item
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2023-06-15 11:57:15	ga_s2am_ard_3-2-1_50HMH_2023-06-15_final
2023-08-28 11:37:23	ga_s2am_ard_3-2-1_50HQG_2023-08-28_final
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-09-16_final
2023-10-03 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-10-03_final
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-10-16_final
2023-10-16 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-10-16_final
2023-11-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-11-22_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

All years