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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHR_2015-12-17_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_49KHQ_2016-01-26_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KGP_2016-02-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JHM_2016-03-16_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-06-14_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGM_2016-08-26_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-02_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-10-12_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HLK_2016-10-19_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNH_2016-11-15_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2016-12-05_final.stac-item
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-03-24_final
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2017-03-28_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-03-31_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-04-10_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-09-07_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMJ_2017-12-30_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMJ_2018-01-02_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLK_2018-02-01_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final
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_49JHN_2018-04-05_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNJ_2018-04-09_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-06-17_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLJ_2018-09-09_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-09-12_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-09-25_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-11-15 11:47:01	ga_s2am_ard_3-2-1_50HNH_2018-11-15_final
2019-02-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2019-02-02_final
2019-03-05 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-03-05_final
2019-03-31 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-03-31_final.stac-item
2019-03-31 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-03-31_final
2019-03-31 12:05:08	ga_s2am_ard_3-2-1_49JGL_2019-03-31_final
2019-04-03 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-04-03_final
2019-04-10 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-04-10_final
2019-04-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-04-17_final
2019-05-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-03_final
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-06-09 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final.stac-item
2019-07-29 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-29_final
2019-07-29 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-29_final
2019-09-27 12:05:09	ga_s2am_ard_3-2-1_49JFM_2019-09-27_final
2019-10-04 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-10-04_final
2019-10-10 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-10-10_final
2020-01-22 11:56:30	ga_s2am_ard_3-2-1_50HMK_2020-01-22_final
2020-03-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2020-03-19_final
2020-04-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-04-04_final
2020-04-07 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-04-07_final
2020-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-17_final
2020-09-08 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-09-08_final
2020-10-04 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final
2020-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-11-07_final
2020-12-04 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2020-12-04_final
2020-12-04 11:47:05	ga_s2am_ard_3-2-1_50HNH_2020-12-04_final
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-01-13 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-13_final
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2021-04-22_final
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final
2021-09-13 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-13_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-09-23 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-09-23_final
2021-12-09 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-12-09_final
2021-12-09 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-12-09_final
2021-12-29 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-12-29_final
2022-01-18 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-01-18_final
2022-04-11 11:57:08	ga_s2am_ard_3-2-1_50HMH_2022-04-11_final
2022-04-11 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-06-23 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-06-23_final
2022-06-23 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-06-23_final
2022-09-11 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-09-11_final.stac-item
2022-09-21 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-09-21_final.stac-item
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final.stac-item
2022-10-05 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-10-05_final.stac-item
2022-10-18 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-10-18_final.stac-item
2022-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-11-07_final.stac-item
2022-11-17 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-11-17_final.stac-item
2023-02-15 11:56:27	ga_s2am_ard_3-2-1_50HNK_2023-02-15_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-02-28_final.stac-item
2023-03-07 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-03-07_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-05-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2023-05-03_final.stac-item
2023-07-05 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-07-05_final.stac-item
2023-09-29 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-29_final.stac-item
2024-02-10 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2024-02-10_final.stac-item
2024-02-17 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2024-02-17_final.stac-item
2024-03-01 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2024-03-01_final.stac-item
2024-03-21 11:57:10	ga_s2am_ard_3-2-1_50HLH_2024-03-21_final.stac-item
2024-03-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-03-24_final.stac-item
2024-03-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2024-03-28_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