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
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLH_2016-12-15_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-21_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HNK_2016-12-28_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGL_2017-03-21_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KGR_2017-04-23_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HNK_2017-12-03_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGR_2018-01-08_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-03-29_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNG_2018-06-18_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-21_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-04_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-11-01_final
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-01-07 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-07_final
2019-01-30 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2019-01-30_final
2019-02-13 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-02-13_final.stac-item
2019-02-16 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-02-16_final
2019-07-03 11:46:42	ga_s2am_ard_3-2-1_50HNK_2019-07-03_final
2019-09-11 11:46:36	ga_s2am_ard_3-2-1_50HNK_2019-09-11_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-12-10 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-12-10_final
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-02-04 12:03:51	ga_s2am_ard_3-2-1_49KHR_2020-02-04_final
2020-04-18 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-04-18_final
2020-05-08 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-05-08_final
2020-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-05-18_final
2020-07-06 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-07-06_final
2020-08-02 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-02_final
2020-09-22 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-22_final.stac-item
2020-10-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-21_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2020-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-12-13_final
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-03-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-03_final
2021-04-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2021-04-23_final
2021-05-16 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-05-16_final
2021-05-19 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-05-19_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-05-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-05-23_final
2021-05-26 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-26_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-07-22_final
2021-08-31 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-08-31_final.stac-item
2021-09-10 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-09-10_final
2021-10-29 12:15:15	ga_s2am_ard_3-2-1_49JGL_2021-10-29_final
2021-11-15 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-11-15_final
2021-11-28 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-11-28_final
2021-12-15 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-12-15_final
2022-01-24 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-01-24_final
2022-02-07 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2022-02-07_final
2022-02-07 11:47:20	ga_s2am_ard_3-2-1_50HNG_2022-02-07_final.stac-item
2022-02-23 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-02-23_final
2022-02-27 11:46:40	ga_s2am_ard_3-2-1_50HNK_2022-02-27_final
2022-02-27 11:46:44	ga_s2am_ard_3-2-1_50HMK_2022-02-27_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-05-07_final.stac-item
2022-05-14 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-05-14_final
2022-06-13 12:04:28	ga_s2am_ard_3-2-1_49KGQ_2022-06-13_final
2022-08-12 12:04:11	ga_s2am_ard_3-2-1_49KHR_2022-08-12_final
2022-08-19 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-08-19_final
2022-08-19 11:57:18	ga_s2am_ard_3-2-1_50HMH_2022-08-19_final
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-10-31 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-31_final.stac-item
2022-11-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-11-04_final.stac-item
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final.stac-item
2022-12-11 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-12-11_final.stac-item
2022-12-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-12-13_final.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-01-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2023-01-22_final.stac-item
2023-02-15 11:56:27	ga_s2am_ard_3-2-1_50HNK_2023-02-15_final.stac-item
2023-05-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2023-05-03_final.stac-item
2023-05-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-05-06_final.stac-item
2023-05-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-05-06_final.stac-item
2023-05-23 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-05-23_final.stac-item
2023-07-05 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-07-05_final.stac-item
2023-08-31 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-31_final.stac-item
2023-10-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2023-10-06_final.stac-item
2023-10-26 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-10-26_final.stac-item
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-11-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-11-22_final.stac-item
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_49KHR_2023-12-15_final.stac-item
2024-01-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-01-04_final.stac-item
2024-01-07 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-01-07_final.stac-item
2024-01-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2024-01-14_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_49KHR_2024-01-27_final.stac-item
2024-02-03 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-02-03_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-04-17 11:46:40	ga_s2am_ard_3-2-1_50HNK_2024-04-17_final.stac-item
2024-05-06 12:14:44	ga_s2am_ard_3-2-1_49JGN_2024-05-06_final.stac-item
2024-05-06 12:15:02	ga_s2am_ard_3-2-1_49JFM_2024-05-06_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