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
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQH_2015-12-08_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQJ_2015-12-08_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPK_2016-03-20_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQH_2016-06-05_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-07-14_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-09-15_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-10-16_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNH_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPJ_2017-02-03_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-02-12_final
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KGP_2017-05-13_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HPJ_2017-06-20_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-08-21_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JHN_2018-01-25_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPH_2018-01-26_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLJ_2018-03-23_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HMH_2018-05-02_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-08-26_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLL_2018-08-30_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-09-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-10-16_final.stac-item
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2019-02-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-16_final
2019-02-19 12:04:42	ga_s2am_ard_3-2-1_49JGN_2019-02-19_final
2019-02-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-02-22_final
2019-03-21 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-03-21_final
2019-03-31 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-03-31_final
2019-04-17 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-04-17_final
2019-06-09 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-06-09_final
2019-08-08 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-08-08_final
2019-09-07 12:04:30	ga_s2am_ard_3-2-1_49KGP_2019-09-07_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-10-08 11:37:23	ga_s2am_ard_3-2-1_50HPG_2019-10-08_final.stac-item
2019-10-17 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-17_final
2019-10-20 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-20_final
2019-11-06 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-11-06_final
2019-11-10 11:46:32	ga_s2am_ard_3-2-1_50HQK_2019-11-10_final
2019-11-10 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-11-10_final
2019-11-26 12:06:04	ga_s2am_ard_3-2-1_50JLM_2019-11-26_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2020-01-12 11:56:20	ga_s2am_ard_3-2-1_50JLL_2020-01-12_final
2020-01-25 12:04:36	ga_s2am_ard_3-2-1_50JKT_2020-01-25_final
2020-02-08 11:46:26	ga_s2am_ard_3-2-1_50HPK_2020-02-08_final
2020-04-07 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-04-07_final
2020-04-24 12:05:16	ga_s2am_ard_3-2-1_49JGL_2020-04-24_final
2020-04-28 11:46:43	ga_s2am_ard_3-2-1_50HMK_2020-04-28_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-05-04_final.stac-item
2020-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-05-08_final
2020-05-15 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-05-15_final.stac-item
2020-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-05-18_final
2020-08-25 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-08-25_final
2020-08-26 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-08-26_final
2020-09-05 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-09-05_final.stac-item
2020-09-21 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-09-21_final
2020-09-22 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-09-22_final
2020-12-10 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2020-12-10_final
2020-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2020-12-20_final
2021-01-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-16_final
2021-02-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-02-01_final
2021-02-15 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-02-15_final.stac-item
2021-04-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-06-05 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-05_final
2021-07-28 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-28_final
2021-09-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-09-06_final
2021-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-09-20_final
2021-12-22 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-12-22_final.stac-item
2022-01-08 11:47:22	ga_s2am_ard_3-2-1_50HNG_2022-01-08_final.stac-item
2022-02-14 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2022-02-14_final
2022-02-17 11:46:35	ga_s2am_ard_3-2-1_50HPK_2022-02-17_final
2022-03-12 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-03-12_final
2022-04-07 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-04-07_final
2022-04-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-05-11 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-05-11_final
2022-06-20 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-06-20_final
2022-06-20 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-06-20_final
2022-06-23 12:04:58	ga_s2am_ard_3-2-1_49JGN_2022-06-23_final
2022-07-04 11:37:05	ga_s2am_ard_3-2-1_50HPJ_2022-07-04_final
2022-07-06 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-07-06_final
2022-10-01 12:04:41	ga_s2am_ard_3-2-1_50JKT_2022-10-01_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-11-10 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-11-10_final.stac-item
2022-12-24 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2022-12-24_final.stac-item
2022-12-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2022-12-27_final.stac-item
2023-01-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-01-09_final.stac-item
2023-01-19 12:04:37	ga_s2am_ard_3-2-1_50JKT_2023-01-19_final.stac-item
2023-03-10 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-03-10_final.stac-item
2023-05-03 11:46:34	ga_s2am_ard_3-2-1_50HPK_2023-05-03_final.stac-item
2023-07-05 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-05_final.stac-item
2023-08-11 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-08-11_final.stac-item
2023-10-07 11:37:22	ga_s2am_ard_3-2-1_50HPG_2023-10-07_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-09_final.stac-item
2023-11-05 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-11-05_final.stac-item
2023-12-02 11:56:58	ga_s2am_ard_3-2-1_50HMH_2023-12-02_final.stac-item
2023-12-06 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2023-12-06_final.stac-item
2024-01-01 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2024-01-01_final.stac-item
2024-03-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2024-03-17_final.stac-item
2024-04-16 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-04-16_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