Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHN_2015-12-07_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-29_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-06-18_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-07-07_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHR_2016-09-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-11_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HPG_2017-01-14_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-06-09_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HMG_2017-06-13_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHM_2017-09-27_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNK_2017-10-11_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHN_2017-10-17_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLG_2017-12-10_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHN_2018-01-05_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLH_2018-02-11_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMJ_2018-03-23_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHS_2018-03-26_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLH_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-18_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HMJ_2018-05-02_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMJ_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNH_2018-05-29_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HNG_2018-06-25_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-06-27_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-07_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-08_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGN_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-07-17_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMG_2018-07-18_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-08-13_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLK_2018-08-20_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMK_2018-08-27_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHP_2018-09-05_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNH_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-10-22_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final
2018-11-08 11:57:01	ga_s2am_ard_3-2-1_50HMH_2018-11-08_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final
2018-11-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-11-25_final
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final
2018-12-21 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-21_final
2018-12-25 11:47:13	ga_s2am_ard_3-2-1_50HNG_2018-12-25_final.stac-item
2018-12-28 11:56:29	ga_s2am_ard_3-2-1_50HMK_2018-12-28_final
2018-12-28 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-12-28_final
2018-12-31 12:04:36	ga_s2am_ard_3-2-1_49JHN_2018-12-31_final
2018-12-31 12:04:40	ga_s2am_ard_3-2-1_49JGN_2018-12-31_final
2018-12-31 12:04:50	ga_s2am_ard_3-2-1_49JHM_2018-12-31_final
2019-01-07 11:56:25	ga_s2am_ard_3-2-1_50HNK_2019-01-07_final
2019-01-14 11:47:10	ga_s2am_ard_3-2-1_50HLH_2019-01-14_final
2019-04-07 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-04-07_final.stac-item
2019-04-30 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-04-30_final.stac-item
2019-06-06 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-06-06_final
2019-06-22 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-06-22_final
2019-06-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-06-29_final.stac-item
2019-07-26 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-26_final.stac-item
2019-08-15 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-08-15_final.stac-item
2019-08-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-08-28_final
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final
2020-02-08 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-02-08_final
2020-02-08 11:47:19	ga_s2am_ard_3-2-1_50HLG_2020-02-08_final.stac-item
2020-02-11 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-11_final
2020-04-25 11:37:28	ga_s2am_ard_3-2-1_50HNG_2020-04-25_final.stac-item
2020-05-28 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-05-28_final.stac-item
2020-10-21 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-21_final.stac-item
2020-10-25 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-10-25_final.stac-item
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final
2021-01-09 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-09_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-03-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-03-14_final.stac-item
2021-03-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-17_final
2021-03-17 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-03-17_final.stac-item
2021-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-03-27_final
2021-03-27 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final
2021-06-21 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-21_final
2021-07-01 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-07-01_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-08-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-07_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-04-11 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-04-11_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-01-29_final.stac-item
2023-04-20 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-04-20_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years