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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGL_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGP_2015-10-08_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNK_2015-11-21_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGR_2015-11-30_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-06-17_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HPH_2016-07-15_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHR_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGP_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-05_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPK_2016-11-22_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JHN_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNK_2016-12-25_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQH_2017-01-01_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JKP_2017-02-16_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-22_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHQ_2017-03-11_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2017-04-20_final.stac-item
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-03_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLH_2017-06-13_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHR_2017-09-17_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JKP_2017-10-24_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGL_2018-01-08_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMJ_2018-02-18_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMJ_2018-03-10_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KGP_2018-03-16_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-03-19_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMG_2018-03-30_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KGR_2018-05-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQJ_2018-06-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNG_2018-07-08_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-17_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-07-17_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKP_2018-09-29_final
2018-11-21 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-11-21_final
2018-12-04 12:14:18	ga_s2am_ard_3-2-1_49KGP_2018-12-04_final
2018-12-31 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-12-31_final.stac-item
2019-01-27 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-01-27_final
2019-04-21 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-04-21_final.stac-item
2019-04-30 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-04-30_final
2019-05-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-13_final
2019-05-14 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-05-14_final.stac-item
2019-06-02 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-06-02_final
2019-09-07 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2019-09-07_final
2019-10-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-10-14_final
2019-10-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-17_final
2019-11-09 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-11-09_final
2019-11-17 11:37:04	ga_s2am_ard_3-2-1_50HQH_2019-11-17_final
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final
2019-12-29 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-12-29_final
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final
2020-02-14 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-02-14_final.stac-item
2020-03-08 12:13:50	ga_s2am_ard_3-2-1_49KHR_2020-03-08_final
2020-03-22 11:55:43	ga_s2am_ard_3-2-1_50JKP_2020-03-22_final
2020-05-15 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-05-15_final
2020-06-07 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-06-07_final
2020-11-23 12:14:00	ga_s2am_ard_3-2-1_49KGR_2020-11-23_final
2020-11-24 11:46:39	ga_s2am_ard_3-2-1_50HNK_2020-11-24_final
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final
2021-02-22 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2021-02-22_final
2021-03-17 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-03-17_final
2021-04-19 12:05:05	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-05-26 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-05-26_final
2021-06-15 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-15_final
2021-06-25 11:57:15	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-07-15 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-07-15_final
2021-08-01 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-08-01_final
2021-08-24 11:55:48	ga_s2am_ard_3-2-1_50JKP_2021-08-24_final
2021-10-10 11:46:35	ga_s2am_ard_3-2-1_50HQK_2021-10-10_final
2021-10-16 12:05:14	ga_s2am_ard_3-2-1_50JKR_2021-10-16_final
2021-12-25 12:04:29	ga_s2am_ard_3-2-1_49KHP_2021-12-25_final
2021-12-26 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-12-26_final
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final
2022-02-07 11:46:29	ga_s2am_ard_3-2-1_50HQK_2022-02-07_final
2022-02-10 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-02-10_final
2022-07-06 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-06_final
2022-07-10 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-07-10_final
2022-07-26 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-07-26_final
2022-09-25 11:47:00	ga_s2am_ard_3-2-1_50HQH_2022-09-25_final.stac-item
2022-12-14 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-12-14_final.stac-item
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-02-28 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-03-10 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-05-02 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-05-02_final.stac-item
2023-06-15 11:57:15	ga_s2am_ard_3-2-1_50HMH_2023-06-15_final.stac-item
2023-09-06 12:05:02	ga_s2am_ard_3-2-1_49JHM_2023-09-06_final.stac-item
2023-09-19 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-09-19_final.stac-item
2023-09-26 12:05:31	ga_s2am_ard_3-2-1_49JGK_2023-09-26_final.stac-item
2023-10-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-10-07_final.stac-item
2023-10-13 11:57:18	ga_s2am_ard_3-2-1_50HMG_2023-10-13_final.stac-item
2023-10-30 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-10-30_final.stac-item
2023-11-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-11-06_final.stac-item
2023-11-09 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-11-09_final.stac-item
2023-12-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-12-19_final.stac-item
2024-02-27 11:46:33	ga_s2am_ard_3-2-1_50HPK_2024-02-27_final.stac-item
2024-03-01 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-01_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