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
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHQ_2016-03-06_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMH_2016-10-26_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLH_2016-10-29_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNG_2016-11-15_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLG_2017-01-14_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-07-09_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-10-17_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHS_2017-12-16_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMH_2018-02-18_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-27_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMH_2018-03-13_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMH_2018-04-02_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPG_2018-04-09_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-04-15_final.stac-item
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPG_2018-05-06_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGL_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPK_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLK_2018-05-22_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-28_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMK_2018-05-29_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGN_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMJ_2018-06-18_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-07-15_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-24_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-09-02_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPK_2018-09-26_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-22_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMH_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMK_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNK_2018-11-05_final
2018-11-25 11:46:30	ga_s2am_ard_3-2-1_50HNK_2018-11-25_final
2018-11-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-11-25_final
2018-11-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-11-25_final
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final
2018-12-05 11:46:32	ga_s2am_ard_3-2-1_50HMK_2018-12-05_final
2019-04-14 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-04-14_final.stac-item
2019-04-24 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-04-24_final.stac-item
2019-05-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-05-23_final
2019-05-24 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-05-24_final.stac-item
2019-06-13 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-06-13_final.stac-item
2019-09-08 11:37:25	ga_s2am_ard_3-2-1_50HNG_2019-09-08_final.stac-item
2019-11-20 11:47:22	ga_s2am_ard_3-2-1_50HNG_2019-11-20_final.stac-item
2019-11-23 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2019-12-10 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-12-10_final.stac-item
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final
2020-01-09 11:47:11	ga_s2am_ard_3-2-1_50HPG_2020-01-09_final.stac-item
2020-02-08 11:47:06	ga_s2am_ard_3-2-1_50HLH_2020-02-08_final
2020-02-18 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-02-18_final.stac-item
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final
2020-03-05 12:03:40	ga_s2am_ard_3-2-1_49KHS_2020-03-05_final.stac-item
2020-03-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-26_final.stac-item
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-04-08 11:47:20	ga_s2am_ard_3-2-1_50HLG_2020-04-08_final.stac-item
2020-04-21 11:57:21	ga_s2am_ard_3-2-1_50HMG_2020-04-21_final.stac-item
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-07-03 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-03_final.stac-item
2020-10-12 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-10-12_final
2020-10-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-25_final
2020-10-25 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-10-25_final
2020-10-28 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-10-28_final
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-03-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-03-13_final
2021-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-03-24_final
2021-04-03 11:46:37	ga_s2am_ard_3-2-1_50HMK_2021-04-03_final
2021-04-06 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-23 11:47:02	ga_s2am_ard_3-2-1_50HNH_2021-04-23_final
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-07-11_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-29 11:37:24	ga_s2am_ard_3-2-1_50HPG_2021-07-29_final.stac-item
2021-07-29 11:37:30	ga_s2am_ard_3-2-1_50HNG_2021-07-29_final.stac-item
2021-07-31 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-31_final
2021-08-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-08-10_final
2021-08-20 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-08-20_final
2022-05-18 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-05-18_final.stac-item
2022-07-24 11:37:28	ga_s2am_ard_3-2-1_50HQG_2022-07-24_final.stac-item
2022-09-02 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-09-02_final.stac-item
2022-10-12 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-10-12_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-10-21_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