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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGN_2015-10-01_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JFM_2015-11-20_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2016-01-19_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGM_2016-04-15_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLH_2016-07-01_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-08-06_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-08-13_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JFM_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-31_final
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGM_2017-06-12_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLH_2017-10-31_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFM_2017-12-09_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGL_2017-12-16_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHS_2018-03-26_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-08-03_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLH_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_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_49JGM_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-15_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-11-01_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-11-01_final
2018-11-14 12:14:50	ga_s2am_ard_3-2-1_49JGM_2018-11-14_final
2018-12-21 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2018-12-21_final
2019-01-10 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-01-10_final
2019-01-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-01-30_final
2019-02-19 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-02-19_final
2019-03-01 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-07-29 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-29_final
2019-08-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-08-28_final
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-10-07 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-10-07_final
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-09 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-11-09_final
2019-11-19 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-11-19_final
2019-11-23 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2019-11-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-11-26_final
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final
2019-12-26 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-12-26_final
2020-01-15 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-15_final
2020-01-28 12:14:52	ga_s2am_ard_3-2-1_49JFM_2020-01-28_final
2020-01-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2020-01-28_final
2020-02-17 12:14:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-17_final
2020-02-24 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-02-24_final
2020-03-25 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-25_final
2020-04-24 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-04-24_final.stac-item
2020-05-14 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final.stac-item
2020-05-17 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-05-17_final
2020-05-31 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-31_final
2020-06-23 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-23_final
2020-07-23 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-07-23_final
2020-10-04 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-04_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-31_final
2020-11-03 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-11-03_final
2020-11-23 12:15:01	ga_s2am_ard_3-2-1_49JFM_2020-11-23_final
2021-01-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-02_final
2021-02-05 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-05_final
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-03-30_final.stac-item
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final
2021-07-28 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-07-28_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-08-10 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-10_final
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final
2022-01-04 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-01-04_final
2022-01-14 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-14_final
2022-01-17 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-01-17_final
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_49KHR_2022-02-06_final
2022-03-15 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-03-15_final
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-04-04 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-04-04_final.stac-item
2022-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-04-27_final
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-07-13 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-13_final.stac-item
2022-12-30 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-30_final.stac-item
2023-01-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-01-19_final.stac-item
2023-02-01 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-01_final.stac-item
2023-02-01 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-02-01_final.stac-item
2023-03-30 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-30_final.stac-item
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-08-14 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-14_final.stac-item
2023-09-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-09-06_final.stac-item
2023-10-16 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-10-16_final.stac-item
2023-10-20 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-10-20_final.stac-item
2023-11-25 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-11-25_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2023-12-15 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2023-12-15_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_final.stac-item
2024-01-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2024-01-17_final.stac-item
2024-03-04 12:03:45	ga_s2am_ard_3-2-1_49KHS_2024-03-04_final.stac-item
2024-03-07 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-07_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