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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNH_2015-10-22_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-03-06_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKP_2017-07-09_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKQ_2017-09-17_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2017-10-07_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HPK_2017-10-18_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HQK_2017-10-31_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-12-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMJ_2018-03-10_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMJ_2018-03-20_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNH_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKP_2018-04-15_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JHN_2018-05-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMK_2018-05-19_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMH_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQJ_2018-07-05_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMG_2018-07-08_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKP_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2018-08-23_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLK_2018-08-30_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKP_2018-09-19_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLK_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-10-22_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HQJ_2018-10-26_final
2018-11-08 11:55:42	ga_s2am_ard_3-2-1_50JKP_2018-11-08_final
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-11-15 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2018-11-15_final
2018-12-08 11:55:51	ga_s2am_ard_3-2-1_50JKN_2018-12-08_final
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final
2018-12-22 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-22_final.stac-item
2018-12-31 12:04:54	ga_s2am_ard_3-2-1_49JGM_2018-12-31_final
2018-12-31 12:05:09	ga_s2am_ard_3-2-1_49JGL_2018-12-31_final
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final
2019-01-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-01-07_final
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-10_final.stac-item
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-06-03 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-06-03_final.stac-item
2019-06-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-06-29_final
2019-07-06 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-06_final
2019-07-09 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2019-07-09_final
2019-11-20 11:47:25	ga_s2am_ard_3-2-1_50HMG_2019-11-20_final.stac-item
2019-11-23 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-11-23_final.stac-item
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-04-11 11:57:21	ga_s2am_ard_3-2-1_50HLG_2020-04-11_final.stac-item
2020-04-28 11:46:43	ga_s2am_ard_3-2-1_50HMK_2020-04-28_final
2020-05-31 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-05-31_final
2020-07-17 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-07-17_final
2020-08-12 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-08-12_final.stac-item
2020-10-11 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-10-11_final
2020-12-24 11:46:33	ga_s2am_ard_3-2-1_50HPK_2020-12-24_final
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2020-12-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final
2021-01-09 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-01-09_final
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-03-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-03-13_final
2021-03-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-03-30_final
2021-04-22 12:13:35	ga_s2am_ard_3-2-1_49KHS_2021-04-22_final.stac-item
2021-04-26 11:56:10	ga_s2am_ard_3-2-1_50JKM_2021-04-26_final
2021-05-22 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-05-22_final.stac-item
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final
2021-06-25 11:55:48	ga_s2am_ard_3-2-1_50JKP_2021-06-25_final
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final
2021-07-01 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-07-01_final
2021-07-02 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-07-02_final
2021-07-28 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-07-31 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-31_final
2021-08-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-14_final
2021-08-27 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-08-27_final
2021-10-13 11:56:35	ga_s2am_ard_3-2-1_50HNK_2021-10-13_final
2021-12-09 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-15_final.stac-item
2022-10-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2022-10-11_final.stac-item
2022-11-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-11-03_final.stac-item
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-11-30_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-05-12_final.stac-item
2023-08-08 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-08-08_final.stac-item
2023-08-21 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-21_final.stac-item
2023-11-02 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-11-02_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