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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMK_2015-10-22_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HLK_2016-06-21_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMK_2016-09-29_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-02_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHR_2016-12-01_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGJ_2017-03-11_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-03-31_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGL_2017-04-30_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGM_2017-05-20_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMK_2018-02-18_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLH_2018-03-30_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMK_2018-04-02_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-04-28_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHS_2018-05-15_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JHM_2018-05-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHS_2018-06-04_final.stac-item
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-09-15_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-10-02_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLK_2018-10-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-11-01_final
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final
2018-12-08 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-08_final
2019-01-20 12:04:53	ga_s2am_ard_3-2-1_49JHM_2019-01-20_final
2019-03-21 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2019-03-21_final
2019-04-10 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-04-10_final
2019-05-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-05-10_final
2019-05-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-13_final
2019-06-09 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-06-09_final
2019-07-02 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-02_final
2019-07-12 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-07-12_final
2019-07-19 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-19_final
2019-08-01 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-08-01_final
2019-08-05 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2019-08-05_final
2019-08-31 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-08-31_final
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-09-17 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-09-17_final
2019-09-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2019-09-30_final
2019-10-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-10-10_final
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final
2020-02-17 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-02-17_final
2020-04-07 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-04-07_final
2020-06-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-06-23_final
2020-07-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-07-23_final
2020-09-01 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-09-01_final
2020-09-08 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-09-08_final
2020-09-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-09-15_final
2020-09-21 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-21_final
2020-10-01 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-01_final
2020-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-10-11_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-11_final
2020-10-28 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-10-28_final
2020-12-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2021-02-11 12:14:40	ga_s2am_ard_3-2-1_49JGN_2021-02-11_final
2021-03-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-03-04_final
2021-05-12 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-05-12_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-06-18_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-07-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final
2021-09-10 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-09-10_final.stac-item
2021-09-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-09-16_final
2021-10-23 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-23_final
2021-11-12 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-11-12_final
2021-12-19 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-12-19_final
2022-01-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-01-11_final.stac-item
2022-01-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-01-17_final
2022-02-06 12:13:58	ga_s2am_ard_3-2-1_49KGR_2022-02-06_final
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final
2022-03-12 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-03-12_final
2022-03-12 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-04-24 12:04:33	ga_s2am_ard_3-2-1_49KHP_2022-04-24_final
2022-04-28 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-04-28_final
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-07-06 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-07-06_final
2022-07-30 11:56:46	ga_s2am_ard_3-2-1_50HMK_2022-07-30_final
2022-09-04 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-09-04_final.stac-item
2022-09-04 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-09-04_final.stac-item
2022-09-11 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-09-11_final.stac-item
2023-02-22 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-02-22_final.stac-item
2023-04-03 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-03_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-08-07 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-08-07_final.stac-item
2023-08-30 12:14:04	ga_s2am_ard_3-2-1_49KGR_2023-08-30_final.stac-item
2023-09-16 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-09-16_final.stac-item
2023-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-19_final.stac-item
2023-09-30 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2023-09-30_final.stac-item
2023-10-09 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-09_final.stac-item
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-10-16_final.stac-item
2023-10-23 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-10-23_final.stac-item
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_49KHS_2024-01-24_final.stac-item
2024-02-07 11:46:38	ga_s2am_ard_3-2-1_50HMK_2024-02-07_final.stac-item
2024-02-17 11:46:39	ga_s2am_ard_3-2-1_50HMK_2024-02-17_final.stac-item
2024-04-13 12:05:10	ga_s2am_ard_3-2-1_49JFM_2024-04-13_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