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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JQT_2016-02-02_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51JWN_2016-02-06_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUT_2016-02-19_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JWM_2016-03-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUP_2016-03-20_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-08_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQK_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLS_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KMA_2016-05-15_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JYL_2016-05-23_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JFM_2016-05-28_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KUU_2016-11-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUS_2016-12-15_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JRT_2016-12-25_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUQ_2017-02-03_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KUT_2017-02-20_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KPF_2017-11-13_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUP_2017-11-20_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51JWN_2018-01-06_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KUR_2018-02-15_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HQG_2018-03-07_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPG_2018-08-04_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQV_2018-08-10_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-10-22_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUQ_2018-11-05_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-11-11_final.stac-item
2018-11-12 11:37:21	ga_s2am_ard_3-2-1_50HNG_2018-11-12_final.stac-item
2018-12-02 11:34:09	ga_s2am_ard_3-2-1_51KUP_2018-12-02_final
2018-12-26 11:14:16	ga_s2am_ard_3-2-1_51JZN_2018-12-26_final
2019-01-05 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2019-01-05_final
2019-01-14 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-14_final
2019-01-21 11:33:30	ga_s2am_ard_3-2-1_51KUS_2019-01-21_final
2019-01-21 11:34:14	ga_s2am_ard_3-2-1_51KUP_2019-01-21_final
2019-03-05 11:43:53	ga_s2am_ard_3-2-1_51KUQ_2019-03-05_final
2019-06-27 11:26:26	ga_s2am_ard_3-2-1_51HXE_2019-06-27_final
2019-11-07 11:34:39	ga_s2am_ard_3-2-1_50JRT_2019-11-07_final
2019-11-17 11:33:49	ga_s2am_ard_3-2-1_51KUR_2019-11-17_final
2019-11-20 11:43:01	ga_s2am_ard_3-2-1_51KUU_2019-11-20_final
2019-11-20 11:44:14	ga_s2am_ard_3-2-1_51KUP_2019-11-20_final
2020-01-02 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-01-02_final
2020-01-06 11:34:30	ga_s2am_ard_3-2-1_51JTN_2020-01-06_final
2020-01-16 11:34:30	ga_s2am_ard_3-2-1_51JTN_2020-01-16_final
2020-03-06 11:33:30	ga_s2am_ard_3-2-1_51KUS_2020-03-06_final
2020-03-06 11:34:33	ga_s2am_ard_3-2-1_50JRT_2020-03-06_final
2020-03-16 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-16_final.stac-item
2020-03-16 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-03-16_final.stac-item
2020-08-16 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-08-16_final.stac-item
2020-08-23 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-08-23_final
2020-10-22 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2020-10-22_final
2020-11-07 11:53:43	ga_s2am_ard_3-2-1_50KNB_2020-11-07_final
2020-11-08 11:24:34	ga_s2am_ard_3-2-1_51JWN_2020-11-08_final
2020-11-14 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-11-14_final
2020-12-04 11:43:13	ga_s2am_ard_3-2-1_51KUT_2020-12-04_final
2020-12-24 11:44:09	ga_s2am_ard_3-2-1_50KPV_2020-12-24_final
2020-12-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2020-12-25_final
2020-12-27 11:53:42	ga_s2am_ard_3-2-1_50KMB_2020-12-27_final
2021-01-03 11:44:13	ga_s2am_ard_3-2-1_51KUP_2021-01-03_final
2021-01-03 11:44:16	ga_s2am_ard_3-2-1_51KTP_2021-01-03_final
2021-01-07 11:25:06	ga_s2am_ard_3-2-1_51JYK_2021-01-07_final
2021-02-02 11:44:27	ga_s2am_ard_3-2-1_51JUN_2021-02-02_final
2021-02-09 11:33:21	ga_s2am_ard_3-2-1_51KUT_2021-02-09_final
2021-02-19 11:34:31	ga_s2am_ard_3-2-1_51JUN_2021-02-19_final
2021-03-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-03-01_final
2021-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2021-03-21_final.stac-item
2021-06-09 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-06-09_final
2021-06-22 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-22_final.stac-item
2021-08-28 11:37:19	ga_s2am_ard_3-2-1_50HQG_2021-08-28_final.stac-item
2021-10-17 11:34:35	ga_s2am_ard_3-2-1_50JRT_2021-10-17_final
2021-11-06 11:33:51	ga_s2am_ard_3-2-1_51KUR_2021-11-06_final
2021-12-06 11:33:33	ga_s2am_ard_3-2-1_51KUS_2021-12-06_final
2021-12-09 11:43:28	ga_s2am_ard_3-2-1_51KUS_2021-12-09_final
2021-12-29 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-12-29_final
2022-01-05 11:34:38	ga_s2am_ard_3-2-1_50JRT_2022-01-05_final
2022-02-24 11:34:20	ga_s2am_ard_3-2-1_51KUP_2022-02-24_final
2022-02-27 11:44:16	ga_s2am_ard_3-2-1_51KUP_2022-02-27_final
2022-04-15 11:36:46	ga_s2am_ard_3-2-1_51HUD_2022-04-15_final
2022-07-27 11:42:26	ga_s2am_ard_3-2-1_51KUB_2022-07-27_final.stac-item
2022-09-22 11:36:35	ga_s2am_ard_3-2-1_51HUE_2022-09-22_final.stac-item
2022-10-22 11:34:19	ga_s2am_ard_3-2-1_51KUP_2022-10-22_final.stac-item
2022-11-04 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-11-04_final.stac-item
2022-12-04 11:44:28	ga_s2am_ard_3-2-1_51JUN_2022-12-04_final.stac-item
2023-01-13 11:43:15	ga_s2am_ard_3-2-1_51KTT_2023-01-13_final.stac-item
2023-01-20 11:34:12	ga_s2am_ard_3-2-1_51KUP_2023-01-20_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-01-30_final.stac-item
2023-03-04 11:44:10	ga_s2am_ard_3-2-1_51KUP_2023-03-04_final.stac-item
2023-06-12 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-12_final.stac-item
2023-11-16 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-11-16_final.stac-item
2023-11-26 11:34:31	ga_s2am_ard_3-2-1_50JRT_2023-11-26_final.stac-item
2023-11-29 11:43:21	ga_s2am_ard_3-2-1_51KUS_2023-11-29_final.stac-item
2023-12-06 11:33:28	ga_s2am_ard_3-2-1_51KUS_2023-12-06_final.stac-item
2023-12-06 11:37:15	ga_s2am_ard_3-2-1_50HPG_2023-12-06_final.stac-item
2023-12-09 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-09_final.stac-item
2024-01-05 11:34:21	ga_s2am_ard_3-2-1_51JWN_2024-01-05_final.stac-item
2024-01-18 11:43:20	ga_s2am_ard_3-2-1_51KUS_2024-01-18_final.stac-item
2024-02-07 11:44:23	ga_s2am_ard_3-2-1_51JUN_2024-02-07_final.stac-item
2024-02-17 11:43:13	ga_s2am_ard_3-2-1_51KUT_2024-02-17_final.stac-item
2024-02-17 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2024-02-17_final.stac-item
2024-03-15 11:34:17	ga_s2am_ard_3-2-1_51KUP_2024-03-15_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