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_50HPH_2015-10-22_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPK_2016-03-07_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPH_2016-04-19_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLN_2016-10-29_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKP_2016-12-31_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKR_2017-02-09_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-07-10_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKQ_2017-08-08_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQH_2017-08-19_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-26_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHS_2018-01-28_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNH_2018-03-10_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLS_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HNG_2018-05-26_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKP_2018-06-24_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKP_2018-07-01_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-07-04_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HQJ_2018-07-18_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-09-06_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-09-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPH_2018-09-06_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-21 12:05:29	ga_s2am_ard_3-2-1_50JLP_2018-12-21_final
2019-01-04 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final
2019-04-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-04-24_final.stac-item
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-06-13 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-06-13_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-07-10 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-10_final
2019-07-23 11:47:22	ga_s2am_ard_3-2-1_50HPG_2019-07-23_final.stac-item
2019-07-26 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-26_final
2019-08-28 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-08-28_final
2019-10-31 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-10-31_final
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2019-11-20 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-11-20_final
2019-11-20 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2019-11-20_final
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-04-21 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-04-21_final
2020-06-23 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final
2020-06-27 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-06-27_final
2020-08-12 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-12_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-08-22 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-08-22_final
2020-08-26 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-08-26_final
2020-09-02 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-02_final.stac-item
2020-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-01-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-01-30_final.stac-item
2021-02-08 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-08_final
2021-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-03-24_final
2021-04-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-04-19_final
2021-04-23 11:46:26	ga_s2am_ard_3-2-1_50HQK_2021-04-23_final
2021-04-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2021-04-23_final
2021-04-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2021-04-23_final
2021-04-26 11:57:17	ga_s2am_ard_3-2-1_50HMG_2021-04-26_final.stac-item
2021-04-29 12:03:56	ga_s2am_ard_3-2-1_49KHR_2021-04-29_final
2021-05-06 11:57:04	ga_s2am_ard_3-2-1_50HMH_2021-05-06_final
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final
2021-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-05-13_final
2021-05-23 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-05-23_final
2021-06-15 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-06-15_final
2021-06-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-06-28_final
2021-07-02 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-07-02_final
2021-07-08 12:05:54	ga_s2am_ard_3-2-1_50JLN_2021-07-08_final
2021-08-08 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-08-08_final
2021-08-27 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-08-27_final.stac-item
2021-09-26 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-09-26_final
2021-10-23 11:55:51	ga_s2am_ard_3-2-1_50JKP_2021-10-23_final
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final
2021-12-09 11:47:23	ga_s2am_ard_3-2-1_50HMG_2021-12-09_final.stac-item
2021-12-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-12-18_final
2022-01-18 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-18_final.stac-item
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-12-11 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2022-12-11_final.stac-item
2023-01-20 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-01-20_final.stac-item
2023-02-05 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-02-05_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-05-09_final.stac-item
2023-05-29 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-05-29_final.stac-item
2023-06-29 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-29_final.stac-item
2023-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2023-09-19_final.stac-item
2023-10-20 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-10-20_final.stac-item
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final.stac-item
2024-01-09 12:50:55	ga_s2am_ard_3-2-1_48LWP_2024-01-09_final.stac-item
2024-03-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-03-24_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